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  • From Trailer to Cloud: Skire acquisition expands Oracle’s on-demand project management options.

    - by Melissa Centurio Lopes
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} By Alison Weiss Whether building petrochemical facilities in the Middle East or managing mining operations in Australia, project managers face significant challenges. Local regulations and currencies, contingent labor, hybrid public/private funding sources, and more threaten project budgets and schedules. According to Mike Sicilia, senior vice president and general manager for the Oracle Primavera Global Business Unit, there will be trillions of dollars invested in industrial projects around the globe between 2012 and 2016. But even with so much at stake, project leads don’t always have time to look for new and better enterprise project portfolio management (EPPM) software solutions to manage large-scale capital initiatives across the enterprise. Oracle’s recent acquisition of Skire, a leading provider of capital program management and facilities management applications available both in the cloud and on premises, gives customers outstanding new EPPM options. By combining Skire’s cloud-based solutions for managing capital projects, real estate, and facilities with Oracle’s Primavera EPPM solutions, project managers can quickly get a solution running that is interoperable across an extended enterprise. Staff can access the EPPM solution within days, rather than waiting for corporate IT to put technology in place. “Staff can access the EPPM solution within days, rather than waiting for corporate IT to put technology in place,” says Sicilia. This applies to a problem that has, according to Sicilia, bedeviled project managers for decades: extending EPPM functionality into the field. Frequently, large-scale projects are remotely located, and the lack of communications and IT infrastructure threatened the accuracy of project reporting and scheduling. Read the full version of this article in the November 2012 edition of Oracle's Profit Magazine: Special Report on Project Management

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  • SQLAuthority News – SQL Server 2012 Upgrade Technical Guide – A Comprehensive Whitepaper – (454 pages – 9 MB)

    - by pinaldave
    Microsoft has just released SQL Server 2012 Upgrade Technical Guide. This guide is very comprehensive and covers the subject of upgrade in-depth. This is indeed a helpful detailed white paper. Even writing a summary of this white paper would take over 100 pages. This further proves that SQL Server 2012 is quite an important release from Microsoft. This white paper discusses how to upgrade from SQL Server 2008/R2 to SQL Server 2012. I love how it starts with the most interesting and basic discussion of upgrade strategies: 1) In-place upgrades, 2) Side by side upgrade, 3) One-server, and 4) Two-server. This whitepaper is not just pure theory but is also an excellent source for some tips and tricks. Here is an example of a good tip from the paper: “If you want to upgrade just one database from a legacy instance of SQL Server and not upgrade the other databases on the server, use the side-by-side upgrade method instead of the in-place method.” There are so many trivia, tips and tricks that make creating the list seems humanly impossible given a short period of time. My friend Vinod Kumar, an SQL Server expert, wrote a very interesting article on SQL Server 2012 Upgrade before. In that article, Vinod addressed the most interesting and practical questions related to upgrades. He started with the fundamentals of how to start backup before upgrade and ended with fail-safe strategies after the upgrade is over. He covered end-to-end concepts in his blog posts in simple words in extremely precise statements. A successful upgrade uses a cycle of: planning, document process, testing, refine process, testing, planning upgrade window, execution, verifying of upgrade and opening for business. If you are at Vinod’s blog post, I suggest you go all the way down and collect the gold mine of most important links. I have bookmarked the blog by blogging about it and I suggest that you bookmark it as well with the way you prefer. Vinod Kumar’s blog post on SQL Server 2012 Upgrade Technical Guide SQL Server 2012 Upgrade Technical Guide is a detailed resource that’s also available online for free. Each chapter was carefully crafted and explained in detail. Here is a quick list of the chapters included in the whitepaper. Before downloading the guide, beware of its size of 9 MB and 454 pages. Here’s the list of chapters: Chapter 1: Upgrade Planning and Deployment Chapter 2: Management Tools Chapter 3: Relational Databases Chapter 4: High Availability Chapter 5: Database Security Chapter 6: Full-Text Search Chapter 7: Service Broker Chapter 8: SQL Server Express Chapter 9: SQL Server Data Tools Chapter 10: Transact-SQL Queries Chapter 11: Spatial Data Chapter 12: XML and XQuery Chapter 13: CLR Chapter 14: SQL Server Management Objects Chapter 15: Business Intelligence Tools Chapter 16: Analysis Services Chapter 17: Integration Services Chapter 18: Reporting Services Chapter 19: Data Mining Chapter 20: Other Microsoft Applications and Platforms Appendix 1: Version and Edition Upgrade Paths Appendix 2: SQL Server 2012: Upgrade Planning Checklist Download SQL Server 2012 Upgrade Technical Guide [454 pages and 9 MB] Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Database, DBA, PostADay, SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, SQLAuthority News, SQLServer, T SQL, Technology

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  • WebCenter Customer Spotlight: Ferrous Resources do Brasil S.A.

    - by me
    Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter  Solution SummaryFerrous Resources do Brasil S.A. (Ferrous) is a startup company whose core business is the exploration, prospection, exploitation, and commercialization of iron ore. They wanted to create an effective, secure and scalable document management system to support the company’s new iron ore exploration operations in Brazil. Ferrous worked with the Oracle Partner 2D Tecnologia to implement a centralized document management system using  Oracle WebCenter Content. The single repository hold almost 220,000 files with an expected to growth to 8 million files in the next two years.  The solution has reduced  financial audit reporting from two weeks to only four days. Company OverviewFounded in 2007, Ferrous Resources do Brasil S.A. (Ferrous) is a startup company whose core business is the exploration, prospection, exploitation, and commercialization of iron ore. Ferrous intends to become one of the five largest iron ore mining companies in the world within the next few years.  Business ChallengesFerrous wanted to create an effective, secure and scalable document management system to support the company’s new iron ore exploration operations in Brazil. Solution DeployedFerrous worked with the Oracle Partner 2D Tecnologia to implement a centralized document management system using  Oracle WebCenter Content. They consolidated all company documents into a single repository to hold almost 220,000 files, including iron-ore project layout and pictures for a repository that is expected to grow to 8 million files in the next two years. Business Results Gained access to reports on individual files of pictures, project layouts, text files, spreadsheets, and slides–enabling the company to find out who opened and altered each  file and when, as well as to access previous versions Enabled investors and board of directors abroad to access all company documents via a Web portal, something that was previously achieved only through e-mails or CD file transfers Enabled the company to consolidate all files, which were mostly disseminated in pen drives and desktops, so that they are now available to more than 500 system users, including investors, lawyers, partners, and 320 in-company users Reduced time to search specific documents, saving several days in financial audit reporting, an activity that previously took two weeks and now requires only four days  “With Oracle WebCenter Content, we managed to organize, control, and protect the company’s files since the beginning of operations and, as a consequence, can offer rapid and transparent access to all company documents.” Frederico Samartini, Business Performance Manager, Ferrous Resources do Brasil S.A. Additional Information Ferrous Customer Snapshot Oracle WebCenter Content

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  • Understanding Data Science: Recent Studies

    - by Joe Lamantia
    If you need such a deeper understanding of data science than Drew Conway's popular venn diagram model, or Josh Wills' tongue in cheek characterization, "Data Scientist (n.): Person who is better at statistics than any software engineer and better at software engineering than any statistician." two relatively recent studies are worth reading.   'Analyzing the Analyzers,' an O'Reilly e-book by Harlan Harris, Sean Patrick Murphy, and Marck Vaisman, suggests four distinct types of data scientists -- effectively personas, in a design sense -- based on analysis of self-identified skills among practitioners.  The scenario format dramatizes the different personas, making what could be a dry statistical readout of survey data more engaging.  The survey-only nature of the data,  the restriction of scope to just skills, and the suggested models of skill-profiles makes this feel like the sort of exercise that data scientists undertake as an every day task; collecting data, analyzing it using a mix of statistical techniques, and sharing the model that emerges from the data mining exercise.  That's not an indictment, simply an observation about the consistent feel of the effort as a product of data scientists, about data science.  And the paper 'Enterprise Data Analysis and Visualization: An Interview Study' by researchers Sean Kandel, Andreas Paepcke, Joseph Hellerstein, and Jeffery Heer considers data science within the larger context of industrial data analysis, examining analytical workflows, skills, and the challenges common to enterprise analysis efforts, and identifying three archetypes of data scientist.  As an interview-based study, the data the researchers collected is richer, and there's correspondingly greater depth in the synthesis.  The scope of the study included a broader set of roles than data scientist (enterprise analysts) and involved questions of workflow and organizational context for analytical efforts in general.  I'd suggest this is useful as a primer on analytical work and workers in enterprise settings for those who need a baseline understanding; it also offers some genuinely interesting nuggets for those already familiar with discovery work. We've undertaken a considerable amount of research into discovery, analytical work/ers, and data science over the past three years -- part of our programmatic approach to laying a foundation for product strategy and highlighting innovation opportunities -- and both studies complement and confirm much of the direct research into data science that we conducted. There were a few important differences in our findings, which I'll share and discuss in upcoming posts.

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  • Partner Blog Series: PwC Perspectives - The Gotchas, The Do's and Don'ts for IDM Implementations

    - by Tanu Sood
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mso-tstyle-border-bottom-themecolor:accent6; font-family:"Arial Narrow","sans-serif"; mso-ascii-font-family:Georgia; mso-ascii-theme-font:major-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:major-fareast; mso-hansi-font-family:Georgia; mso-hansi-theme-font:major-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:major-bidi;} table.MsoTableMediumList1Accent6LastRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; color:#968C6D; mso-themecolor:text2; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6FirstCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:first-column; mso-style-priority:65; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6LastCol {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:last-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #E0301E; mso-tstyle-border-top-themecolor:accent6; mso-tstyle-border-bottom:1.0pt solid #E0301E; mso-tstyle-border-bottom-themecolor:accent6; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableMediumList1Accent6OddColumn {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-column; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} table.MsoTableMediumList1Accent6OddRow {mso-style-name:"Medium List 1 - Accent 6"; mso-table-condition:odd-row; mso-style-priority:65; mso-style-unhide:no; mso-tstyle-shading:#F7CBC7; mso-tstyle-shading-themecolor:accent6; mso-tstyle-shading-themetint:63;} It is generally accepted among business communities that technology by itself is not a silver bullet to all problems, but when it is combined with leading practices, strategy, careful planning and execution, it can create a recipe for success. This post attempts to highlight some of the best practices along with dos & don’ts that our practice has accumulated over the years in the identity & access management space in general, and also in the context of R2, in particular. Best Practices The following section illustrates the leading practices in “How” to plan, implement and sustain a successful OIM deployment, based on our collective experience. Planning is critical, but often overlooked A common approach to planning an IAM program that we identify with our clients is the three step process involving a current state assessment, a future state roadmap and an executable strategy to get there. It is extremely beneficial for clients to assess their current IAM state, perform gap analysis, document the recommended controls to address the gaps, align future state roadmap to business initiatives and get buy in from all stakeholders involved to improve the chances of success. When designing an enterprise-wide solution, the scalability of the technology must accommodate the future growth of the enterprise and the projected identity transactions over several years. Aligning the implementation schedule of OIM to related information technology projects increases the chances of success. As a baseline, it is recommended to match hardware specifications to the sizing guide for R2 published by Oracle. Adherence to this will help ensure that the hardware used to support OIM will not become a bottleneck as the adoption of new services increases. If your Organization has numerous connected applications that rely on reconciliation to synchronize the access data into OIM, consider hosting dedicated instances to handle reconciliation. Finally, ensure the use of clustered environment for development and have at least three total environments to help facilitate a controlled migration to production. If your Organization is planning to implement role based access control, we recommend performing a role mining exercise and consolidate your enterprise roles to keep them manageable. In addition, many Organizations have multiple approval flows to control access to critical roles, applications and entitlements. If your Organization falls into this category, we highly recommend that you limit the number of approval workflows to a small set. Most Organizations have operations managed across data centers with backend database synchronization, if your Organization falls into this category, ensure that the overall latency between the datacenters when replicating the databases is less than ten milliseconds to ensure that there are no front office performance impacts. Ingredients for a successful implementation During the development phase of your project, there are a number of guidelines that can be followed to help increase the chances for success. Most implementations cannot be completed without the use of customizations. If your implementation requires this, it’s a good practice to perform code reviews to help ensure quality and reduce code bottlenecks related to performance. We have observed at our clients that the development process works best when team members adhere to coding leading practices. Plan for time to correct coding defects and ensure developers are empowered to report their own bugs for maximum transparency. Many organizations struggle with defining a consistent approach to managing logs. This is particularly important due to the amount of information that can be logged by OIM. We recommend Oracle Diagnostics Logging (ODL) as an alternative to be used for logging. ODL allows log files to be formatted in XML for easy parsing and does not require a server restart when the log levels are changed during troubleshooting. Testing is a vital part of any large project, and an OIM R2 implementation is no exception. We suggest that at least one lower environment should use production-like data and connectors. Configurations should match as closely as possible. For example, use secure channels between OIM and target platforms in pre-production environments to test the configurations, the migration processes of certificates, and the additional overhead that encryption could impose. Finally, we ask our clients to perform database backups regularly and before any major change event, such as a patch or migration between environments. In the lowest environments, we recommend to have at least a weekly backup in order to prevent significant loss of time and effort. Similarly, if your organization is using virtual machines for one or more of the environments, it is recommended to take frequent snapshots so that rollbacks can occur in the event of improper configuration. Operate & sustain the solution to derive maximum benefits When migrating OIM R2 to production, it is important to perform certain activities that will help achieve a smoother transition. At our clients, we have seen that splitting the OIM tables into their own tablespaces by categories (physical tables, indexes, etc.) can help manage database growth effectively. If we notice that a client hasn’t enabled the Oracle-recommended indexing in the applicable database, we strongly suggest doing so to improve performance. Additionally, we work with our clients to make sure that the audit level is set to fit the organization’s auditing needs and sometimes even allocate UPA tables and indexes into their own table-space for better maintenance. Finally, many of our clients have set up schedules for reconciliation tables to be archived at regular intervals in order to keep the size of the database(s) reasonable and result in optimal database performance. For our clients that anticipate availability issues with target applications, we strongly encourage the use of the offline provisioning capabilities of OIM R2. This reduces the provisioning process for a given target application dependency on target availability and help avoid broken workflows. To account for this and other abnormalities, we also advocate that OIM’s monitoring controls be configured to alert administrators on any abnormal situations. Within OIM R2, we have begun advising our clients to utilize the ‘profile’ feature to encapsulate multiple commonly requested accounts, roles, and/or entitlements into a single item. By setting up a number of profiles that can be searched for and used, users will spend less time performing the same exact steps for common tasks. We advise our clients to follow the Oracle recommended guides for database and application server tuning which provides a good baseline configuration. It offers guidance on database connection pools, connection timeouts, user interface threads and proper handling of adapters/plug-ins. All of these can be important configurations that will allow faster provisioning and web page response times. Many of our clients have begun to recognize the value of data mining and a remediation process during the initial phases of an implementation (to help ensure high quality data gets loaded) and beyond (to support ongoing maintenance and business-as-usual processes). A successful program always begins with identifying the data elements and assigning a classification level based on criticality, risk, and availability. It should finish by following through with a remediation process. Dos & Don’ts Here are the most common dos and don'ts that we socialize with our clients, derived from our experience implementing the solution. Dos Don’ts Scope the project into phases with realistic goals. Look for quick wins to show success and value to the stake holders. Avoid “boiling the ocean” and trying to integrate all enterprise applications in the first phase. Establish an enterprise ID (universal unique ID across the enterprise) earlier in the program. Avoid major UI customizations that require code changes. Have a plan in place to patch during the project, which helps alleviate any major issues or roadblocks (product and database). Avoid publishing all the target entitlements if you don't anticipate their usage during access request. Assess your current state and prepare a roadmap to address your operations, tactical and strategic goals, align it with your business priorities. Avoid integrating non-production environments with your production target systems. Defer complex integrations to the later phases and take advantage of lessons learned from previous phases Avoid creating multiple accounts for the same user on the same system, if there is an opportunity to do so. Have an identity and access data quality initiative built into your plan to identify and remediate data related issues early on. Avoid creating complex approval workflows that would negative impact productivity and SLAs. Identify the owner of the identity systems with fair IdM knowledge and empower them with authority to make product related decisions. This will help ensure overcome any design hurdles. Avoid creating complex designs that are not sustainable long term and would need major overhaul during upgrades. Shadow your internal or external consulting resources during the implementation to build the necessary product skills needed to operate and sustain the solution. Avoid treating IAM as a point solution and have appropriate level of communication and training plan for the IT and business users alike. Conclusion In our experience, Identity programs will struggle with scope, proper resourcing, and more. We suggest that companies consider the suggestions discussed in this post and leverage them to help enable their identity and access program. This concludes PwC blog series on R2 for the month and we sincerely hope that the information we have shared thus far has been beneficial. For more information or if you have questions, you can reach out to Rex Thexton, Senior Managing Director, PwC and or Dharma Padala, Director, PwC. We look forward to hearing from you. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0in; line-height:12.0pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Arial","sans-serif"; mso-ascii-font-family:Arial; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Arial; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Meet the Writers: Dharma Padala is a Director in the Advisory Security practice within PwC.  He has been implementing medium to large scale Identity Management solutions across multiple industries including utility, health care, entertainment, retail and financial sectors.   Dharma has 14 years of experience in delivering IT solutions out of which he has been implementing Identity Management solutions for the past 8 years. Praveen Krishna is a Manager in the Advisory Security practice within PwC.  Over the last decade Praveen has helped clients plan, architect and implement Oracle identity solutions across diverse industries.  His experience includes delivering security across diverse topics like network, infrastructure, application and data where he brings a holistic point of view to problem solving. Scott MacDonald is a Director in the Advisory Security practice within PwC.  He has consulted for several clients across multiple industries including financial services, health care, automotive and retail.   Scott has 10 years of experience in delivering Identity Management solutions. John Misczak is a member of the Advisory Security practice within PwC.  He has experience implementing multiple Identity and Access Management solutions, specializing in Oracle Identity Manager and Business Process Engineering Language (BPEL).

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  • Harnessing Business Events for Predictive Decision Making - part 1 / 3

    - by Sanjeev Sharma
    Businesses have long relied on data mining to elicit patterns and forecast future demand and supply trends. Improvements in computing hardware, specifically storage and compute capacity, have significantly enhanced the ability to store and analyze mountains of data in ever shrinking time-frames. Nevertheless, the reality is that data growth is outpacing storage capacity by a factor of two and computing power is still very much bounded by Moore's Law, doubling only every 18 months.Faced with this data explosion, businesses are exploring means to develop human brain-like capabilities in their decision systems (including BI and Analytics) to make sense of the data storm, in other words business events, in real-time and respond pro-actively rather than re-actively. It is more like having a little bit of the right information just a little bit before hand than having all of the right information after the fact. To appreciate this thought better let's first understand the workings of the human brain.Neuroscience research has revealed that the human brain is predictive in nature and that talent is nothing more than exceptional predictive ability. The cerebral-cortex, part of the human brain responsible for cognition, thought, language etc., comprises of five layers. The lowest layer in the hierarchy is responsible for sensory perception i.e. discrete, detail-oriented tasks whereas each of the above layers increasingly focused on assembling higher-order conceptual models. Information flows both up and down the layered memory hierarchy. This allows the conceptual mental-models to be refined over-time through experience and repetition. Secondly, and more importantly, the top-layers are able to prime the lower layers to anticipate certain events based on the existing mental-models thereby giving the brain a predictive ability. In a way the human brain develops a "memory of the future", some sort of an anticipatory thinking which let's it predict based on occurrence of events in real-time. A higher order of predictive ability stems from being able to recognize the lack of certain events. For instance, it is one thing to recognize the beats in a music track and another to detect beats that were missed, which involves a higher order predictive ability.Existing decision systems analyze historical data to identify patterns and use statistical forecasting techniques to drive planning. They are similar to the human-brain in that they employ business rules very much like mental-models to chunk and classify information. However unlike the human brain existing decision systems are unable to evolve these rules automatically (AI still best suited for highly specific tasks) and  predict the future based on real-time business events. Mistake me not,  existing decision systems remain vital to driving long-term and broader business planning. For instance, a telco will still rely on BI and Analytics software to plan promotions and optimize inventory but tap into business events enabled predictive insight to identify specifically which customers are likely to churn and engage with them pro-actively. In the next post, i will depict the technology components that enable businesses to harness real-time events and drive predictive decision making.

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  • Will Online Learning Save Higher Education (and does it need saving)?

    - by user739873
    A lot (an awful lot) of education industry rag real estate has been devoted to the topics of online learning, MOOC’s, Udacity, edX, etc., etc. and to the uninitiated you’d think that the education equivalent of the cure for cancer had been discovered. There are certainly skeptics (whose voice is usually swiftly trampled upon by the masses) who feel we could over steer and damage or destroy something vital to teaching and learning (i.e. the classroom experience and direct interaction with human beings known as instructors), but for the most part prevailing opinion seems to be that online learning will take over the world and that higher education will never be the same. Now I’m sure that since you all know I work for a technology company you think I’m going to come down hard on the side of online learning proselytizers. Yes, I do believe that this revolution can and will provide access to massive numbers of individuals that either couldn’t afford (from a fiscal or time perspective) a traditional education, and that in some cases the online modality will actually be an improvement over certain traditional forms (such as courses taught by an adjunct or teaching assistant that has no business being a teacher). But I think several things need immediate attention or we’re likely to get so caught up in the delivery that we miss some of the real issues (and opportunities) around online learning. First and foremost, we’ve got to give some thought to how traditional information systems are going to accommodate thousands (possibly hundreds of thousands) of individual students each taking courses from many, many different “deliverers” with an expectation that successful completion of these courses will result in credit at many or most institutions. There’s also a huge opportunity to refine the delivery platform (no, LMS is not a commodity when you are talking about online delivery being your sole mode of operation) as well as the course itself by mining all kinds of data from the interactions that the students have with the material each time they take it. Social data analytics tools will be key in achieving this goal. What about accreditation (badging or competencies vs. traditional degrees)? And again, will the information systems in place today adapt to changes in this area fast enough? The type of scale that this shift in learning could drive has the potential to abruptly overwhelm just about every system in place today in higher education. I would like to (with a not so gentle reminder) refer you back to a blog entry I wrote when I first stepped into my current role at Oracle in which I talked about how higher ed needs an “Oracle” more than at any other time in it’s evolution (despite the somewhat mercantilist reputation it has in some circles). There just aren’t that many organizations that can deliver the kinds of solutions “at scale” that this brave new world of online education will demand. The future may be closer than we think. Cole

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  • How can I copy this quote from PDF?

    - by isme
    I'm reading a PDF copy of Jerome H. Friedman's paper "Data Mining and Statistics: What's the Connection?" using Google Chrome and the Adobe Reader plugin. It contains an amusing quote that I want to copy and paste to my blog. I used the mouse to select the text of the quote and pressed CTRL + C to copy the text. The document looks like this: When I paste the text into Notepad, Stack Overflow, or anywhere else, the product is Wingdings-like gibberish: ????????????????????????|?????????|????? ?????|??????????????????????????????????????????????????|?????????????? ??????????????P????? ?????????????????????P?|?????????|?????????????????????????????????????????????????????? ????????????Þ?????????????????????????????????|???|??????????????????????????? The text should instead look like this: A difference between statisticians and computer scientists in this field seems to be that when a statistician has an idea he or she writes a paper; a computer scientist starts a company. I had to type that text out manually. This is feasible for such a small quote, but how do I actually copy what I see? Is it something unusual about the PDF, the browser, the plugin, or some combiniation of the three?

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  • Romanian parter Omnilogic Delivers “No Limits” Scalability, Performance, Security, and Affordability through Next-Generation, Enterprise-Grade Engineered Systems

    - by swalker
    Omnilogic SRL is a leading technology and information systems provider in Romania and central and Eastern Europe. An Oracle Value-Added Distributor Partner, Omnilogic resells Oracle software, hardware, and engineered systems to Oracle Partner Network members and provides specialized training, support, and testing facilities. Independent software vendors (ISVs) also use Omnilogic’s demonstration and testing facilities to upgrade the performance and efficiency of their solutions and those of their customers by migrating them from competitor technologies to Oracle platforms. Omnilogic also has a dedicated offering for ISV solutions, based on Oracle technology in a hosting service provider model. Omnilogic wanted to help Oracle Partners and ISVs migrate solutions to Oracle Exadata and sell Oracle Exadata to end-customers. It installed Oracle Exadata Database Machine X2-2 Quarter Rack at its data center to create a demonstration and testing environment. Demonstrations proved that Oracle Exadata achieved processing speeds up to 100 times faster than competitor systems, cut typical back-up times from 6 hours to 20 minutes, and stored 10 times more data. Oracle Partners and ISVs learned that migrating solutions to Oracle Exadata’s preconfigured, pre-integrated hardware and software can be completed rapidly, at low cost, without business disruption, and with reduced ongoing operating costs. Challenges A word from Omnilogic “Oracle Exadata is the new killer application—the smartest solution on the market. There is no competition.” – Sorin Dragomir, Chief Operating Officer, Omnilogic SRL Enable Oracle Partners in Romania and central and eastern Europe to achieve Oracle Exadata Ready status by providing facilities to test and optimize existing applications and build real-life proofs of concept (POCs) for new solutions on Oracle Exadata Database Machine Provide technical support and demonstration facilities for ISVs migrating their customers’ solutions from competitor technologies to Oracle Exadata to maximize performance, scalability, and security; optimize hardware and datacenter space; cut maintenance costs; and improve return on investment Demonstrate power of Oracle Exadata’s high-performance, high-capacity engineered systems for customer-facing businesses, such as government organizations, telecommunications, banking and insurance, and utility companies, which typically require continuous availability to support very large data volumes Showcase Oracle Exadata’s unchallenged online transaction processing (OLTP) capabilities that cut application run times to provide unrivalled query turnaround and user response speeds while significantly reducing back-up times and eliminating risk of unplanned outages Capitalize on providing a world-class training and demonstration environment for Oracle Exadata to accelerate sales with Oracle Partners Solutions Created a testing environment to enable Oracle Partners and ISVs to test their own solutions and those of their customers on Oracle Exadata running on Oracle Enterprise Linux or Oracle Solaris Express to benchmark performance prior to migration Leveraged expertise on Oracle Exadata to offer Oracle Exadata training, migration, support seminars and to showcase live demonstrations for Oracle Partners Proved how Oracle Exadata’s pre-engineered systems, that come assembled, configured, and ready to run, reduce deployment time and cost, minimize risk, and help customers achieve the full performance potential immediately after go live Increased processing speeds 10-fold and with zero data loss for a telecommunications provider’s client-facing customer relationship management solution Achieved performance improvements of between 6 and 100 times faster for financial and utility company applications currently running on IBM, Microsoft, or SAP HANA platforms Showed how daily closure procedures carried out overnight by banks, insurance companies, and other financial institutions to analyze each day’s business, can typically be cut from around six hours to 20 minutes, some 18 times faster, when running on Oracle Exadata Simulated concurrent back-ups while running applications under normal working conditions to prove that Oracle Exadata-based solutions can be backed up during business hours without causing bottlenecks or impacting the end-user experience Demonstrated that Oracle Exadata’s built-in analytics, data mining and OLTP capabilities make it the highest-performance, lowest-cost choice for large data warehousing operations Showed how Oracle Exadata’s columnar compression and intelligent storage architecture allows 10 times more data to be stored than on competitor platforms Demonstrated how Oracle Exadata cuts hardware requirements significantly by consolidating workloads on to fewer servers which delivers greater power efficiency and lower operating costs that competing systems from IBM and other manufacturers Proved to ISVs that migrating solutions to Oracle Exadata’s preconfigured, pre-integrated hardware and software can be completed rapidly, at low cost, and with minimal business disruption Demonstrated how storage servers, database servers, and network switches can be added incrementally and inexpensively to the Oracle Exadata platform to support business expansion On track to grow revenues by 10% in year one and by 15% annually thereafter through increased business generated from Oracle Partners and ISVs

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  • Principles of Big Data By Jules J Berman, O&rsquo;Reilly Media Book Review

    - by Compudicted
    Originally posted on: http://geekswithblogs.net/Compudicted/archive/2013/11/04/principles-of-big-data-by-jules-j-berman-orsquoreilly-media.aspx A fantastic book! Must be part, if not yet, of the fundamentals of the Big Data as a field of science. Highly recommend to those who are into the Big Data practice. Yet, I confess this book is one of my best reads this year and for a number of reasons: The book is full of wisdom, intimate insight, historical facts and real life examples to how Big Data projects get conceived, operate and sadly, yes, sometimes die. But not only that, the book is most importantly is filled with valuable advice, accurate and even overwhelming amount of reference (from the positive side), and the author does not event stop there: there are numerous technical excerpts, links and examples allowing to quickly accomplish many daunting tasks or make you aware of what one needs to perform as a data practitioner (excuse my use of the word practitioner, I just did not find a better substitute to it to trying to reference all who face Big Data). Be aware that Jules Berman’s background is in medicine, naturally, this book discusses this subject a lot as it is very dear to the author’s heart I believe, this does not make this book any less significant however, quite the opposite, I trust if there is an area in science or practice where the biggest benefits can be ripped from Big Data projects it is indeed the medical science, let’s make Cancer history! On a personal note, for me as a database, BI professional it has helped to understand better the motives behind Big Data initiatives, their underwater rivers and high altitude winds that divert or propel them forward. Additionally, I was impressed by the depth and number of mining algorithms covered in it. I must tell this made me very curious and tempting to find out more about these indispensable attributes of Big Data so sure I will be trying stretching my wallet to acquire several books that go more in depth on several most popular of them. My favorite parts of the book, well, all of them actually, but especially chapter 9: Analysis, it is just very close to my heart. But the real reason is it let me see what I do with data from a different angle. And then the next - “Special Considerations”, they are just two logical parts. The writing language is of this book is very acceptable for all levels, I had no technical problem reading it in ebook format on my 8” tablet or a large screen monitor. If I would be asked to say at least something negative I have to state I had a feeling initially that the book’s first part reads like an academic material relaxing the reader as the book progresses forward. I admit I am impressed with Jules’ abilities to use several programming languages and OSS tools, bravo! And I agree, it is not too, too hard to grasp at least the principals of a modern programming language, which seems becomes a defacto knowledge standard item for any modern human being. So grab a copy of this book, read it end to end and make yourself shielded from making mistakes at any stage of your Big Data initiative, by the way this book also helps build better future Big Data projects. Disclaimer: I received a free electronic copy of this book as part of the O'Reilly Blogger Program.

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  • SQL SERVER – List of All the Samples Database Available to Download for FREE

    - by Pinal Dave
    It is pretty much very common to have a sample database for any database product. Different companies keep on improving their product and keep on coming up with innovation in their product. To demonstrate the capability of their new enhancements they need the sample database. Microsoft have various sample database available for free download for their SQL Server Product. I have collected them here in a single blog post. Download an AdventureWorks Database The AdventureWorks OLTP database supports standard online transaction processing scenarios for a fictitious bicycle manufacturer (Adventure Works Cycles). Scenarios include Manufacturing, Sales, Purchasing, Product Management, Contact Management, and Human Resources. Coconut Dal Coconut Dal is a lightweight data access layer, for use in projects where the Entity Framework cannot be used or Microsoft’s Enterprise Library Data Block is unsuitable. Anyone who is handwriting ADO.NET should use a library instead and Coconut Dal might be the answer.  DataBooster – Extension to ADO.NET Data Provider The dbParallel DataBooster library is a high-performance extension to ADO.NET Data Provider, includes two aspects: 1) A slimmed down API encapsulation which simplified the most common data access operations (DbConnection -> DbCommand -> DbParameter -> DbDataReader) into a single class DbAccess, to help application with a clean DAL, avoid over-packing and redundant-copy of data transfer. 2) A booster for writing mass data onto database. Base on a rational utilization of database concurrency and a effective utilization of network bandwidth. Tabular AMO 2012 The sample is made of two project parts. The first part is a library of functions to manage tabular models -AMO2Tabular V2-. The second part is a sample to build a tabular model -AdventureWorks Tabular AMO 2012- using the AMO2Tabular library; the created model is similar to the ‘AdventureWorks Tabular Model 2012. SQL Server Analysis Services Product Samples SQL Server Analysis Services provides, a unified and integrated view of all your business data as the foundation for all of your traditional reporting, online analytical processing (OLAP) analysis, Key Performance Indicator (KPI) scorecards, and data mining. Analysis Services Samples for SQL Server 2008 R2 This release is dedicated to the samples that ship for Microsoft SQL Server 2008R2. For many of these samples you will also need to download the AdventureWorks family of databases. SQL Server Reporting Services Product Samples This project contains Reporting Services samples released with Microsoft SQL Server product. These samples are in the following five categories: Application Samples, Extension Samples, Model Samples, Report Samples, and Script Samples. If you are interested in contributing Reporting Services samples, please let us know by posting in the developers’ forum. Reporting Services Samples for SQL Server 2008 R2 This release is dedicated to the samples that ship for Microsoft SQL Server 2008 R2 PCU1. For many of these samples you will also need to download the AdventureWorks family of databases. SQL Server Integration Services Product Samples This project contains Integration Services samples released with Microsoft SQL Server product. These samples are in the following two categories: Package Samples and Programming Samples. If you are interested in contributing Integration Services samples, please let us know by posting in the developers’ forum. Integration Services Samples for SQL Server 2008 R2 This release is dedicated to the samples that ship for Microsoft SQL Server 2008R2. For many of these samples you will also need to download the AdventureWorks family of databases. Windows Azure SQL Reporting Admin Sample The SQLReportingAdmin sample for Windows Azure SQL Reporting demonstrates the usage of SQL Reporting APIs, and manages (add/update/delete) permissions of SQL Reporting users. Windows Azure SQL Reporting ReportViewer-SOAP API usage sample These sample projects demonstrate how to embed a Microsoft ReportViewer control that points to reports hosted on SQL Reporting report servers and how to use SQL Reporting SOAP APIs in your Windows Azure Web application. Enterprise Library 5.0 – Integration Pack for Windows Azure This NuGet package contains a zip file with the source code for the Enterprise Library Integration Pack for Windows Azure.  Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: SQL Sample Database

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  • Collaborate10 &ndash; THEconference

    - by jean-pierre.dijcks
    After spending a few days in Mandalay Bay's THEHotel, I guess I now call everything THE... Seriously, they even tag their toilet paper with THEtp... I guess the brand builders in Vegas thought that once you are on to something you keep on doing it, and granted it is a nice hotel with nice rooms. THEanalytics Most of my collab10 experience was in a room called Reef C, where the BIWA bootcamp was held. Two solid days of BI, Warehousing and Analytics organized by the BIWA SIG at IOUG. Didn't get to see all sessions, but what struck me was the high interest in Analytics. Marty Gubar's OLAP session was full and he did some very nice things with the OLAP option. The cool bit was that he actually gets all the advanced calculations in OLAP to show up in OBI EE without any effort. It was nice to see that the idea from OWB where you generate an RPD is now also in AWM. I think it makes life so much simpler to generate these RPD's from your data model. Even if the end RPD needs some tweaking, it is all a lot less effort to get something going. You can see this stuff for yourself in this demo (click here). OBI EE uses just SQL to get to the calculations, and so, if you prefer APEX, you can build you application there and get the same nice calculations in an APEX application. Marty also showed the Simba MDX driver used with Excel. I guess we should call that THEcoolone... and it is very slick and wonderfully useful for all of you who actually know Excel. The nice thing is that you leverage pure Excel for all operations (no plug-ins). That means no new tools to learn, no new controls, all just pure Excel. THEdatabasemachine Got some very good questions in my "what makes Exadata fast" session and overall, the interest in Exadata is overwhelming. One of the things that I did try to do in my session is to get people to think in new patterns rather than in patterns based on Oracle 9i running on some random hardware configuration. We talked a little bit about the often over-indexing and how everyone has to unlearn all of that on Exadata. The main thing however is that everyone needs to get used to the shear size of some of the components in a Database machine V2. 5TB of flash cache is a lot of very fast data storage, half a TB of memory gets quite interesting as well. So what I did there was really focus on some of the content in these earlier posts on Upward ILM and In-Memory processing. In short, I do believe the these newer media point out a trend. In-memory and other fast media will get cheaper and will see more use. Some of that we do automatically by adding new functionality, but in some cases I think the end user of the system needs to start thinking about how to leverage all this new hardware. I think most people got very excited about these new capabilities and opportunities. THEcoolkids One of the cool things about the BIWA track was the hand-on track. Very cool to see big crowds for both OLAP and OWB hands-on. Also quite nice to see that the folks at RittmanMead spent so much time on preparing for that session. While all of them put down cool stuff, none was more cool that seeing Data Mining on an Apple iPAD... it all just looks great on an iPAD! Very disappointing to see that Mark Rittman still wasn't showing OWB on his iPAD ;-) THEend All in all this was a great set of sessions in the BIWA track. Lots of value to our guests (we hope) and we hope they all come again next year!

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  • Fusion Concepts: Fusion Database Schemas

    - by Vik Kumar
    You often read about FUSION and FUSION_RUNTIME users while dealing with Fusion Applications. There is one more called FUSION_DYNAMIC. Here are some details on the difference between these three and the purpose of each type of schema. FUSION: It can be considered as an Administrator of the Fusion Applications with all the corresponding rights and powers such as owning tables and objects, providing grants to FUSION_RUNTIME.  It is used for patching and has grants to many internal DBMS functions. FUSION_RUNTIME: Used to run the Applications.  Contains no DB objects. FUSION_DYNAMIC: This schema owns the objects that are created dynamically through ADM_DDL. ADM_DDL is a package that acts as a wrapper around the DDL statement. ADM_DDL support operations like truncate table, create index etc. As the above statements indicate that FUSION owns the tables and objects including FND tables so using FUSION to run applications is insecure. It would be possible to modify security policies and other key information in the base tables (like FND) to break the Fusion Applications security via SQL injection etc. Other possibilities would be to write a logon DB trigger and steal credentials etc. Thus, to make Fusion Applications secure FUSION_RUNTIME is granted privileges to execute DMLs only on APPS tables. Another benefit of having separate users is achieving Separation of Duties (SODs) at schema level which is required by auditors. Below are the roles and privileges assigned to FUSION, FUSION_RUNTIME and FUSION_DYNAMIC schema: FUSION It has the following privileges: Create SESSION Do all types of DDL owned by FUSION. Additionally, some specific priveleges on other schemas is also granted to FUSION. EXECUTE ON various EDN_PUBLISH_EVENT It has the following roles: CTXAPP for managing Oracle Text Objects AQ_SER_ROLE and AQ_ADMINISTRATOR_ROLE for managing Advanced Queues (AQ) FUSION_RUNTIME It has the following privileges: CREATE SESSION CHANGE NOTIFICATION EXECUTE ON various EDN_PUBLISH_EVENT It has the following roles: FUSION_APPS_READ_WRITE for performing DML (Select, Insert, Delete) on Fusion Apps tables FUSION_APPS_EXECUTE for performing execute on objects such as procedures, functions, packages etc. AQ_SER_ROLE and AQ_ADMINISTRATOR_ROLE for managing Advanced Queues (AQ) FUSION_DYNAMIC It has following privileges: CREATE SESSION, PROCEDURE, TABLE, SEQUENCE, SYNONYM, VIEW UNLIMITED TABLESPACE ANALYZE ANY CREATE MINING MODEL EXECUTE on specific procedure, function or package and SELECT on specific tables. This depends on the objects identified by product teams that ADM_DDL needs to have access  in order to perform dynamic DDL statements. There is one more role FUSION_APPS_READ_ONLY which is not attached to any user and has only SELECT privilege on all the Fusion objects. FUSION_RUNTIME does not have any synonyms defined to access objects owned by FUSION schema. A logon trigger is defined in FUSION_RUNTIME which sets the current schema to FUSION and eliminates the need of any synonyms.   What it means for developers? Fusion Application developers should be using FUSION_RUNTIME for testing and running Fusion Applications UI, BC and to connect to any SQL front end like SQL *PLUS, SQL Loader etc. For testing ADFbc using AM tester while using FUSION_RUNTIME you may hit the following error: oracle.jbo.JboException: JBO-29000: Unexpected exception caught: java.sql.SQLException, msg=invalid name pattern: FUSION.FND_TABLE_OF_VARCHAR2_255 The fix is to add the below JVM parameter in the Run/Debug client property in the Model project properties -Doracle.jdbc.createDescriptorUseCurrentSchemaForSchemaName=true More details are discussed in this forum thread for it.

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  • Willy Rotstein on Supply Chain Planning

    - by sarah.taylor(at)oracle.com
    Each time a merchandiser, buyer or planner in Retail makes a business decision around assortment, inventory, pricing and promotions there is an opportunity to improve both Profitability and Customer Service. Improving decision making, however, has always been a tricky business for retailers.  I have worked in this space for more than 15 years. I began my career as an academic, at Imperial College London, and then broadened this interest with Retailers, aiming to optimize their merchandising and supply chain decisions. Planning the business and optimizing profit is a complex process. The complexity arises from the variety of people involved, the large number of decisions to take across all business processes, the uncertainty intrinsic to the retail environment as well as the volume of data available for analysis.  Things are not getting any easier either. The advent of multi-channel, social media and mobile is taking these complexities to a new level and presenting additional opportunities for those willing to exploit them. I guess it is due to the complexities of the decision making process that, over the last couple of years working with Oracle Retail, I have witnessed a clear trend around the deployment of planning systems. Retailers are aiming to simplify their decision making processes. They want to use one joined up planning platform across the business and enhance it with "actionable" data mining and optimization techniques. At Oracle Retail, we have a vibrant community of international retailers who regularly come together to discuss the big issues in retail planning. It is a combination of fashion, grocery and speciality retailers, all sharing their best practice vision for planning and optimizing merchandise decisions. As part of the Retail Exchange program, at the recent National Retail Federation event in New York, I jointly hosted a Planning dinner with Peter Fitzgerald from Google UK, Retail Division. Those retailers from our international planning community who were in New York for the annual NRF event were able to attend. The group comprised some of Europe's great International Retail brands.  All sectors were represented by organisations like Mango, LVMH, Ahold, Morrisons, Shop Direct and River Island. They confirmed the current importance of engaging with Planning and Optimization issues. In particular the impact of the internet was a key topic. We had a great debate about new retail initiatives.  Peter highlighted how mobility is changing retail - in particular with the new "local availability search" initiative. We also had an exciting discussion around the opportunities to improve merchandising using the new data that is becoming available from search, social media and ecommerce sites. It will be our focus to continue to help retailers translate this data into better results while keeping their business operations simple. New developments in "actionable" analytics and computing capacity make this a very exciting area today. Watch this space for my contributions on these topics which will be made available through this blog. Oracle Retail has a strong Planning community. if you are a category manager, a planner, a buyer, a merchandiser, a retail supplier or any retail executive with a keen interest in planning then you would be very welcome to join Oracle Retail's Planning Community. As part of our community you will be able to join our in-person and virtual events, download topical white papers and best practice information specifically tailored to your area of interest.  If anyone would like to register their interest in joining our community of retailers discussing planning then please contact me at [email protected]   Willy Rotstein, Oracle Retail

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  • Floating Panels and Describe Windows in Oracle SQL Developer

    - by thatjeffsmith
    One of the challenges I face as I try to share tips about our software is that I tend to assume there are features that you just ‘know about.’ Either they’re so intuitive that you MUST know about them, or it’s a feature that I’ve been using for so long I forget that others may have never even seen it before. I want to cover two of those today - Describe (DESC) – SHIFT+F4 Floating Panels My super-exciting desktop SQL Developer and Describe DESC or Describe is an Oracle SQL*Plus command. It shows what a table or view is composed of in terms of it’s column definition. Here’s an example: SQL*Plus: Release 11.2.0.3.0 Production on Fri Sep 21 14:25:37 2012 Copyright (c) 1982, 2011, Oracle. All rights reserved. Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - Production With the Partitioning, OLAP, Data Mining and Real Application Testing options SQL> desc beer; Name Null? Type ----------------------------------------- -------- ---------------------------- BREWERY NOT NULL VARCHAR2(100) CITY VARCHAR2(100) STATE VARCHAR2(100) COUNTRY VARCHAR2(100) ID NUMBER SQL> You can get the same information – and a good bit more – in SQL Developer using the SQL Developer DESC command. You invoke it with SHIFT+F4. It will open a floating (non-modal!) window with the information you want. Here’s an example: I can see my column definitions, constratins, stats, privs, etc A few ‘cool’ things you should be aware of: I can open as many as I want, and still work in my worksheet, browser, etc. I can also DESC an index, user, or most any other database object I can of course move them off my primary desktop display The DESC panel’s are read-only. I can’t drop a constraint from within the DESC window of a given table. But for dragging columns into my worksheet, and checking out the stats for my objects as I query them – it’s very, very handy. Try This Right Now Type ‘scott.emp’ (or some other table you have), place your cursor on the text, and hit SHIFT+F4. You’ll see the EMP object open. Now click into a column name in the columns page. Drag it into your worksheet. It will paste that column name into your query. This is an alternative for those that don’t like our code insight feature or dragging columns off the connection tree (new for v3.2!) Got it? SQL Developer’s Floating Panels Ok, let’s talk about a similar feature. Did you know that any dockable panel from the View menu can also be ‘floated?’ One of my favorite features is the SQL History. Every query I run is recorded, and I can recall them later without having to remember what I ran and when. And I USUALLY use the keyboard shortcuts for this. Let your trouble float away…if only it were so easy as a right-click in the real world. But sometimes I still want to see my recall list without having to give up my screen real estate. So I just mouse-right click on the panel tab and select ‘Float.’ Then I move it over to my secondary display – see the poorly lit picture in the beginning of this post. And that’s it. Simple, I know. But I thought you should know about these two things!

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  • My Take on Hadoop World 2011

    - by Jean-Pierre Dijcks
    I’m sure some of you have read pieces about Hadoop World and I did see some headlines which were somewhat, shall we say, interesting? I thought the keynote by Larry Feinsmith of JP Morgan Chase & Co was one of the highlights of the conference for me. The reason was very simple, he addressed some real use cases outside of internet and ad platforms. The following are my notes, since the keynote was recorded I presume you can go and look at Hadoopworld.com at some point… On the use cases that were mentioned: ETL – how can I do complex data transformation at scale Doing Basel III liquidity analysis Private banking – transaction filtering to feed [relational] data marts Common Data Platform – a place to keep data that is (or will be) valuable some day, to someone, somewhere 360 Degree view of customers – become pro-active and look at events across lines of business. For example make sure the mortgage folks know about direct deposits being stopped into an account and ensure the bank is pro-active to service the customer Treasury and Security – Global Payment Hub [I think this is really consolidation of data to cross reference activity across business and geographies] Data Mining Bypass data engineering [I interpret this as running a lot of a large data set rather than on samples] Fraud prevention – work on event triggers, say a number of failed log-ins to the website. When they occur grab web logs, firewall logs and rules and start to figure out who is trying to log in. Is this me, who forget his password, or is it someone in some other country trying to guess passwords Trade quality analysis – do a batch analysis or all trades done and run them through an analysis or comparison pipeline One of the key requests – if you can say it like that – was for vendors and entrepreneurs to make sure that new tools work with existing tools. JPMC has a large footprint of BI Tools and Big Data reporting and tools should work with those tools, rather than be separate. Security and Entitlement – how to protect data within a large cluster from unwanted snooping was another topic that came up. I thought his Elephant ears graph was interesting (couldn’t actually read the points on it, but the concept certainly made some sense) and it was interesting – when asked to show hands – how the audience did not (!) think that RDBMS and Hadoop technology would overlap completely within a few years. Another interesting session was the session from Disney discussing how Disney is building a DaaS (Data as a Service) platform and how Hadoop processing capabilities are mixed with Database technologies. I thought this one of the best sessions I have seen in a long time. It discussed real use case, where problems existed, how they were solved and how Disney planned some of it. The planning focused on three things/phases: Determine the Strategy – Design a platform and evangelize this within the organization Focus on the people – Hire key people, grow and train the staff (and do not overload what you have with new things on top of their day-to-day job), leverage a partner with experience Work on Execution of the strategy – Implement the platform Hadoop next to the other technologies and work toward the DaaS platform This kind of fitted with some of the Linked-In comments, best summarized in “Think Platform – Think Hadoop”. In other words [my interpretation], step back and engineer a platform (like DaaS in the Disney example), then layer the rest of the solutions on top of this platform. One general observation, I got the impression that we have knowledge gaps left and right. On the one hand are people looking for more information and details on the Hadoop tools and languages. On the other I got the impression that the capabilities of today’s relational databases are underestimated. Mostly in terms of data volumes and parallel processing capabilities or things like commodity hardware scale-out models. All in all I liked this conference, it was great to chat with a wide range of people on Oracle big data, on big data, on use cases and all sorts of other stuff. Just hope they get a set of bigger rooms next time… and yes, I hope I’m going to be back next year!

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  • Social Search: Looking for Love

    - by Mike Stiles
    For marketers and enterprise executives who have placed a higher priority on and allocated bigger budgets to search over social, it might be time to notice yet another shift that’s well underway. Social is search. Search marketing was always more of an internal slam-dunk than other digital initiatives. Even a C-suite that understood little about the new technology world knew it’s a good thing when people are able to find you. Google was the new Yellow Pages. Only with Google, you could get your listing first without naming yourself “AAAA Plumbing.” There were wizards out there who could give your business prominence in front of people who were specifically looking for what you offered. Other search giants like Bing also came along to offer such ideal matchmaking possibilities. But what if the consumer isn’t using a search engine to find what they’re looking for? And what if the search engines started altering their algorithms so that search placement manipulation was more difficult? Both of those things have started to happen. Experian Hitwise’s numbers show that visits to the major search engines in the UK dropped 100 million through August. Search engines are far from dead, or even challenged. But more and more, the public is discovering the sites and brands they need through advice they get via social, not search. You’ll find the worlds of social and search increasingly co-mingling as well. Search behemoths Google and Bing are including Facebook and Google+ into their engines. Meanwhile, Facebook and Twitter have done some integration of global web search into their platforms. So what makes social such a worthwhile search entity for brands? First and foremost, the consumer has demonstrated a behavior of acting on recommendations from social connections. A cry in the wilderness like, “Anybody know any good catering companies?” will usually yield a link (and an endorsement) from a friend such as “Yeah, check out Just-Cheese-Balls Catering.” There’s no such human-driven force/influence behind the big search engines. Facebook’s Mark Zuckerberg and others call it “Friend Mining.” It is, in essence, searching for answers from friends’ experiences as opposed to faceless code. And Facebook has all of those friends’ experiences already stored as data. eMarketer says search in an $18 billion business, and investors are really into it. So no shock Facebook’s ready to leverage their social graph into relevant search. What do you do about all this as a brand? For one thing, it’s going to lead to some interesting paid marketing opportunities around the corner, including Sponsored Stories bought against certain queries, inserting deals into search results, capitalizing on social search results on mobile, etc. Apart from that, it might be time to stop mentally separating social and search in your strategic planning and budgeting. Courting your fans on social will cumulatively add up to more valuable, personally endorsed recommendations for your company when a consumer conducts a search on social. Fail to foster those relationships, fail to engage, fail to provide knock-em-dead customer service, fail to wow them with your actual products and services…and you’ll wind up with the visibility you deserve in social search results.

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  • BI&EPM in Focus Sep 2012

    - by Mike.Hallett(at)Oracle-BI&EPM
    Customers ·       Iluka Resources Improves Business Insight into Mining Operations Through Significantly Faster, Customized Analyses ·       Waikato Regional Council Consolidates Financial Reports up to 10 Times Faster  ·       Lojas Renner Shortens Budget Consolidation from Three Days to 15 Minutes; Improves Data Quality, and Supports Aggressive Expansion Plans  ·       Link to Complete Archive ·       Profit Magazine article featuring General Dynamics: RECONnomics: Integrate. Innovate. Grow (link) ·       Video: Goodhope Asia Unifies Financial Data with Oracle Hyperion (link)   Enterprise Performance Management ·       Oracle University Training on Demand: 1.     Oracle Hyperion Financial Reporting 11.1.2 for Financial Management (link) 2.     Oracle Essbase Bootcamp: On Demand (link) 3.     Oracle Hyperion Planning 11.1.2: Create & Manage Applications On Demand (link)   Business Intelligence ·       Oracle University Training on Demand: 1.     Learn How to Create Analyses, Dashboards with OBI 11g (link) 2.     Build Repositories with Oracle Business Intelligence 11g (link) 3.     Oracle BI Publisher 11g Fundamentals (link) 4.     Oracle BI Applications Courses now available for 7.9.6  (link) 5.     Oracle BI 11g: New Features and Exalytics ·       Oracle Business Intelligence Release 11.1.1.6.2BP, updated information: 1.     Oracle BI Mobile at the Speed of Thought 2.     What's New in Oracle Business Intelligence Mobile 3.     What's New in Oracle Business Intelligence Visualizations 4.     Oracle Business Intelligence on Oracle.com 5.     Download the New Release ·       Discover How to Turn Data into Insight: Big Data Guide : Whitepaper and set of short Videos. ·       New OPN Specialisation Exam for OBI 11g Certification . ·       Lastest BIC2g and Exalytics Demonstration VMs for Partners . ·       New Version 2.3 Oracle Endeca Information Discovery and Server now available . ·       New Oracle BI Publisher 11.1.1.6 Trial Edition Now Available .

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  • New Version 3.1 Endeca Information Discovery Now Available

    - by Mike.Hallett(at)Oracle-BI&EPM
    Normal 0 false false false EN-GB X-NONE X-NONE MicrosoftInternetExplorer4 Business User Self-Service Data Mash-up Analysis and Discovery integrated with OBI11g and Hadoop Oracle Endeca Information Discovery 3.1 (OEID) is a major release that incorporates significant new self-service discovery capabilities for business users, including agile data mashup, extended support for unstructured analytics, and an even tighter integration with Oracle BI.  · Self-Service Data Mashup and Discovery Dashboards: business users can combine information from multiple sources, including their own up-loaded spreadsheets, to conduct analysis on the complete set.  Creating discovery dashboards has been made even easier by intuitive drag-and drop layouts and wizard-based configuration.  Business users can now build new discovery applications in minutes, without depending on IT. · Enhanced Integration with Oracle BI: OEID 3.1 enhances its’ native integration with Oracle Business Intelligence Foundation. Business users can now incorporate information from trusted BI warehouses, leveraging dimensions and attributes defined in Oracle’s Common Enterprise Information Model, but evolve them based on the varying day-to-day demands and requirements that they personally manage. · Deep Unstructured Analysis: business users can gain new insights from a wide variety of enterprise and public sources, helping companies to build an actionable Big Data strategy.  With OEID’s long-standing differentiation in correlating unstructured information with structured data, business users can now perform their own text mining to identify hidden concepts, without having to request support from IT. They can augment these insights with best in class keyword search and pattern matching, all in the context of rich, interactive visualizations and analytic summaries. · Enterprise-Class Self-Service Discovery:  OEID 3.1 enables IT to provide a powerful self-service platform to the business as part of a broader Business Analytics strategy, preserving the value of existing investments in data quality, governance, and security.  Business users can take advantage of IT-curated information to drive discovery across high volumes and varieties of data, and share insights with colleagues at a moment’s notice. · Harvest Content from the Web with the Endeca Web Acquisition Toolkit:  Oracle now provides best-of-breed data access to website content through the Oracle Endeca Web Acquisition Toolkit.  This provides an agile, graphical interface for developers to rapidly access and integrate any information exposed through a web front-end.  Organizations can now cost-effectively include content from consumer sites, industry forums, government or supplier portals, cloud applications, and myriad other web sources as part of their overall strategy for data discovery and unstructured analytics. For more information: OEID 3.1 OTN Software and Documentation Download And Endeca available for download on Software Delivery Cloud (eDelivery) New OEID 3.1 Videos on YouTube Oracle.com Endeca Site /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;}

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  • New PeopleSoft HCM 9.1 On Demand Standard Edition provides a complete set of IT services at a low, predictable monthly cost

    - by Robbin Velayedam
    At Oracle Open World last month, Oracle announced that we are extending our On Demand offerings with the general availability of PeopleSoft On Demand Standard Edition. Standard Edition represents Oracle’s commitment to providing customers a choice of solutions, technology, and deployment options commensurate with their business needs and future growth. The Standard Edition offering complements the traditional On Demand offerings (Enterprise and Professional Editions) by focusing on a low, predictable monthly cost model that scales with the size of your business.   As part of Oracle's open cloud strategy, customers can freely move PeopleSoft licensed applications between on premise and the various  on demand options as business needs arise.    In today’s business climate, aggressive and creative business objectives demand more of IT organizations. They are expected to provide technology-based solutions to streamline business processes, enable online collaboration and multi-tasking, facilitate data mining and storage, and enhance worker productivity. As IT budgets remain tight in a recovering economy, the challenge becomes how to meet these demands with limited time and resources. One way is to eliminate the variable costs of projects so that your team can focus on the high priority functions and better predict funding and resource needs two to three years out. Variable costs and changing priorities can derail the best laid project and capacity plans. The prime culprits of variable costs in any IT organization include disaster recovery, security breaches, technical support, and changes in business growth and priorities. Customers have an immediate need for solutions that are cheaper, predictable in cost, and flexible enough for long-term growth or capacity changes. The Standard Edition deployment option fulfills that need by allowing customers to take full advantage of the rich business functionality that is inherent to PeopleSoft HCM, while delegating all application management responsibility – such as future upgrades and product updates – to Oracle technology experts, at an affordable and expected price. Standard Edition provides the advantages of the secure Oracle On Demand hosted environment, the complete set of PeopleSoft HCM configurable business processes, and timely management of regular updates and enhancements to the application functionality and underlying technology. Standard Edition has a convenient monthly fee that is scalable by number of employees, which helps align the customer’s overall cost of ownership with its size and anticipated growth and business needs. In addition to providing PeopleSoft HCM applications' world class business functionality and Oracle On Demand's embassy-grade security, Oracle’s hosted solution distinguishes itself from competitors by offering customers the ability to transition between different deployment and service models at any point in the application ownership lifecycle. As our customers’ business and economic climates change, they are free to transition their applications back to on-premise at any time. HCM On Demand Standard Edition is based on configurability options rather than customizations, requiring no additional code to develop or maintain. This keeps the cost of ownership low and time to production less than a month on average. Oracle On Demand offers the highest standard of security and performance by leveraging a state-of-the-art data center with dedicated databases, servers, and secured URL all within a private cloud. Customers will not share databases, environments, platforms, or access portals with other customers because we value how mission critical your data are to your business. Oracle’s On Demand also provides a full breadth of disaster recovery services to provide customers the peace of mind that their data are secure and that backup operations are in place to keep their businesses up and running in the case of an emergency. Currently we have over 50 PeopleSoft customers delegating us with the management of their applications through Oracle On Demand. If you are a customer interested in learning more about the PeopleSoft HCM 9.1 Standard Edition and how it can help your organization minimize your variable IT costs and free up your resources to work on other business initiatives, contact Oracle or your Account Services Representative today.

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  • Excel export displaying '#####...'

    - by Cypher
    I'm trying to export an Excel database into .txt (Tab Delimited), but some of my cells are quite large. When I export into a txt some of the cells are exported as '#######....' which is surprisingly useless. Has this happened to anyone else? Do you know an easy fix? Data from one cell of my column: Accounting, African Studies, Agricultural/Bioresource Engineering, Agricultural Economics, Agricultural Science, Anatomy/Cell Biology, Animal Biology, Animal Science, Anthropology, Applied Zoology, Architecture, Art History, Atmospheric/Oceanic Science, Biochemistry, Biology, Botanical Sciences, Canadian Studies, Chemical Engineering, Chemistry/Bio-Organic/Environmental/Materials,ChurchMusicPerformance, Civil Engineering/Applied Mechanics, Classics, Composition, Computer Engineering,ComputerScience, ContemporaryGerman Studies, Dietetics, Early Music Performance, Earth/Planetary Sciences, East Asian Studies, Economics, Electrical Engineering, English Literature/ Drama/Theatre/Cultural Studies, Entrepreneurship, Environment, Environmental Biology, Finance, Food Science, Foundations of Computing, French Language/Linguistics/Literature/Translation, Geography, Geography/ Urban Systems, German, German Language/Literature/Culture, Hispanic Languages/Literature/Culture,History,Humanistic Studies, Industrial Relations, Information Systems, International Business, International Development Studies, Italian Studies/Medieval/Renaissance, Jazz Performance, Jewish Studies, Keyboard Studies, Kindergarten/Elementary Education, Kindergarten/Elementary Education/Jewish Studies,Kinesiology, Labor/Management Relations, Latin American/Caribbean Studies, Linguistics, Literature/Translation, Management Science, Marketing, Materials Engineering,Mathematics,Mathematics/Statistics,Mechanical Engineering, Microbiology, Microbiology/Immunology, Middle Eastern Studies, Mining Engineering, Music, Music Education, MusicHistory,Music Technology,Music Theory,North American Studies, Nutrition,OperationsManagement,OrganizationalBehavior/Human Resources Management, Performing Arts, Philosophy, Physical Education, Physics, Physiology, Plant Sciences, Political Science, Psychology, Quebec Studies, Religious Studies/Scriptures/Interpretations/World Religions,ResourceConservation,Russian, Science for Teachers,Secondary Education, Secondary Education/Music, Secondary Education/Science, SocialWork, Sociology, Software Engineering, Soil Science, Strategic Management, Teaching of French/English as a Second Language, Theology, Wildlife Biology, Wildlife Resources, Women’s Studies.

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  • Long running stats process - thoughts on language choice?

    - by Josh
    I am on a LAMP stack for a website I am managing. There is a need to roll up usage statistics (a variety of things related to our desktop product), and I initially tackled the problem with PHP (being that I had a bunch of classes to work with the data already). All worked well on my dev box which was using 5.3 Long story short, 5.1 memory management seems to suck a lot worse, and I've had to do a lot of fooling to get the long term roll up scripts to run in a fixed memory space. Our server guys are unwilling to upgrade php at this time. I've since moved my dev server back to 5.1 so I don't run into this problem again... For mining of mysql databases to roll up statistics for different periods and resolutions, potentially running a process that does this all the time in the future (as opposed to on a cron schedule), what language choice do you recommend? I was looking at python (I know it more or less), java (don't know it that well), sticking it out with php (know it quite well). Thanks for any suggestions. Josh

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  • Facial recognition/detection PHP or software for photo and video galleries

    - by Peter
    I have a very large photo gallery with thousands of similar people, objects, locations, things. The majority of the people in the photos have their own user accounts and avatar photos to match. There are also logical short lists of people potentially in the photo based on additional data available for each photo. I allow users to tag photos with their friends and people they know but an automated process would be better. I've used photo tagger/finder from face.com integrating with Facebook photos and the Google Picasa photo tagger for personal albums also does the same thing and is exactly what I'm looking to do. Is there a PHP script, API for Google Picasa, face.com or other recognition service or any other open source project that provides server-side facial recognition and/or grouping photos by similarity? Examples: As you can see, various photo sharing sites offer the feature, but are there any that provide an API for images stored on my own server or something extensive enough to link into my own gallery and tagging system? viewdle - Face recognition/Tagging for video PHP - Face detection in pure PHP Xarg OpenCV Face.com - app for finding and tagging photos in Facebook Google Picasa - photo sharing TeraSnaps - photo sharing site Google Portrait - photo grouping from Google Image results FaceOnIt - Video face recognition PittPatt - Detection, Recognition, Video Face Mining BetaFace ChaosFace - Real-time Face Detector

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  • How important is PhD research topic to getting a job?

    - by thornate
    EDIT: This has been closed and I realise that I may not have been specific enough with the original title. I ask two questions here: The general one (Does a PhD help get a job?) which has been asked elsewhere, and the specific one (Is it possible to get work outside of the specific research field?). Assume I've already decided going to do the phd. I'm just stressing about the research topic. Well, I'm one year out of university (Mechatronics engineering and Software Eng double bachelors), worked for a few months then got retrenched (yay economy!). It's looking less and less likely that I'll get a job worth having with the job market as it is, so I'm thinking about going back to uni to do a PhD. I figure that by the time I'm done, the job market will have improved and hopefully I'll have something on my resume that is more attractive than spending three years doing customer support for accounting software. So, my question is to people who've done PhD's. Would you say that they were worth the effort? How important is the research topic to future job-seeking success? The idea I have is a computer-sciencey/neural-networks/data-mining thing which I think is very interesting, but not a field I want to be in forever. My potential supervisor claims that employers don't care so much about the topic of the research but rather the peripheral skills that are developed through a PhD; time managment, self-restraint, planning and whatnot. How does this mesh with people's real world experience? I'd appreciate any advice before signing my life on the line for the next three years. See also: Should developers go to grad school? Best reason not to hire a PhD? How to find an entry-level job after you already have a graduate degree?

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  • Read line and change the line that not consist of certain words and not end with dot

    - by igo
    I wanna read some text files in a folder line by line. for example of 1 txt : Fast and Effective Text Mining Using Linear-time Document Clustering Bjornar Larsen WORD2 Chinatsu Aone SRA International AK, Inc. 4300 Fair Lakes Cow-l Fairfax, VA 22033 {bjornar-larsen, WORD1 I wanna remove line that does not contain of words = word, word2, word3, and does not end with dot . so. from the example, the result will be : Bjornar Larsen WORD2 Chinatsu Aone SRA International, Inc. {bjornar-larsen, WORD1 I am confused, hw to remove the line? it that possible? or can we replace them with a space? here's the code : $url = glob($savePath.'*.txt'); foreach ($url as $file => $files) { $handle = fopen($files, "r") or die ('can not open file'); $ori_content= file_get_contents($files); foreach(preg_split("/((\r?\n)|(\r\n?))/", $ori_content) as $buffer){ $pos1 = stripos($buffer, $word1); $pos2 = stripos($buffer, $word2); $pos3 = stripos($buffer, $word3); $last = $str[strlen($buffer)-1];//read the las character if (true !== $pos1 OR true !== $pos2 OR true !==$pos3 && $last != '.'){ //how to remove } } } please help me, thank you so much :)

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