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• Twin Cities Connected Systems User Group Meeting - March 11th, 2010

  If you are in are in Minneapolis on Thursday March 11th please join us for the Twin Cities Connected Systems User Group Meeting. The meeting takes place at 6:00 p.m. at the Microsoft offices at 8300 Norman Center Drive, Bloomington, MN 55437.  I will be speaking on How to Create Windows Server AppFabric Applications Here is a write-up of what will be covered: You have heard about Dublin, now called Windows Server AppFabric, but do you know what it is and what it includes?  Do you know...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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• What can I do to improve a project if there is a no-listening situation. Developers vs Management

  - by NazGul

  Hi all, I hope that I'm not the only one and I can get a answer from someone with more experience than me, so I can think cleaner and I don't get depressed with this developer's life. I'm working as developer for a small company three years now. In that three years I'm working in the same project and sincerely, I think this project could be used as a CASE STUDY because it has all the situations that cannot happen in a project and that makes a project fails. To begin with, and I believe you've already noticed, the project has 3 years already (develoment only) and is still unfinished, because in every meeting there is a "new priority" ,or a "new problem" to be solve or a "new feature" to be add. So, first problem is no target set. How can you know when something is finished if you don't know what you want? I understand Management, because they see an oportunity and try to get that, but I don't understand how can they not see (or hear us) that they'll lose all they already have and what they'll eventually get. Second, there is no team group. My team consists of three people, a Senior Developer, a DBA and, finally, I for all the work (support, testing, new features, bug fixing, meeting, projet management of clients, etc) aka Junior Developer. The first (senior developer), does not perform any tests on his changes, so, most of the time, his changes give us problems (us = me, since I'm the one who will fix it). The second (DBA) is an uncompromising person and you can not talk to him, believe me, I tried! In his view, everything he does is fantastic... even if it is the most complicated to make it... And he does everything he wants, even if we need that only for 5 months later and would help some extra-hand to do the things we have to do for now. As you can see, there is very hard to work with no help... Third, there is no testings. Every... I repeat, Every release of the project, the customers wants to kill us, because there is a lot of bugs. Management? They say that they want tests before the release. Us? We say the same. Time? No time. Management? There is always some time to open the application and click in some buttons. Us? Try to explain that it is not so simple. Management doesn't care... end of story. Actually, must of the bugs could be avoid with a rigorous work... Some people just want to do the show to the Management. "Did you ask for this? Cool, it's done. Bugs? The Do-all-the-work guy will solve." Unfortunally for me, sometimes the Do-all-the-work also has to finish it. And to makes this all better, I'm the person who will listen the complaints from the customers. Cool, huh? I know, everyone makes mistakes. But there is mistakes and mistakes... To complete, in the Management view, "the problem is the lack of an individual project management", because we cannot do all the stuff they ask, even if there is no PM for the project itself. And ask us to work overtime without any reward... I do say all this stuff to the management and others members, but by telling this, the I'm the bad guy, the guy who is complain when everything is going well... but we need to work overtime... sigh What can I do to make it works? Anyone has a situation like this, what did you do? I hope you could understand my problem, my English is a little rusty. Thanks.

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• Building vs. Buying a Master Data Management Solution

  - by david.butler(at)oracle.com

  Many organizations prefer to build their own MDM solutions. The argument is that they know their data quality issues and their data better than anyone. Plus a focused solution will cost less in the long run then a vendor supplied general purpose product. This is not unreasonable if you think of MDM as a point solution for a particular data quality problem. But this approach carries significant risk. We now know that organizations achieve significant competitive advantages when they deploy MDM as a strategic enterprise wide solution: with the most common best practice being to deploy a tactical MDM solution and grow it into a full information architecture. A build your own approach most certainly will not scale to a larger architecture unless it is done correctly with the larger solution in mind. It is possible to build a home grown point MDM solution in such a way that it will dovetail into broader MDM architectures. A very good place to start is to use the same basic technologies that Oracle uses to build its own MDM solutions. Start with the Oracle 11g database to create a flexible, extensible and open data model to hold the master data and all needed attributes. The Oracle database is the most flexible, highly available and scalable database system on the market. With its Real Application Clusters (RAC) it can even support the mixed OLTP and BI workloads that represent typical MDM data access profiles. Use Oracle Data Integration (ODI) for batch data movement between applications, MDM data stores, and the BI layer. Use Oracle Golden Gate for more real-time data movement. Use Oracle's SOA Suite for application integration with its: BPEL Process Manager to orchestrate MDM connections to business processes; Identity Management for managing users; WS Manager for managing web services; Business Intelligence Enterprise Edition for analytics; and JDeveloper for creating or extending the MDM management application. Oracle utilizes these technologies to build its MDM Hubs.  Customers who build their own MDM solution using these components will easily migrate to Oracle provided MDM solutions when the home grown solution runs out of gas. But, even with a full stack of open flexible MDM technologies, creating a robust MDM application can be a daunting task. For example, a basic MDM solution will need: a set of data access methods that support master data as a service as well as direct real time access as well as batch loads and extracts; a data migration service for initial loads and periodic updates; a metadata management capability for items such as business entity matrixed relationships and hierarchies; a source system management capability to fully cross-reference business objects and to satisfy seemingly conflicting data ownership requirements; a data quality function that can find and eliminate duplicate data while insuring correct data attribute survivorship; a set of data quality functions that can manage structured and unstructured data; a data quality interface to assist with preventing new errors from entering the system even when data entry is outside the MDM application itself; a continuing data cleansing function to keep the data up to date; an internal triggering mechanism to create and deploy change information to all connected systems; a comprehensive role based data security system to control and monitor data access, update rights, and maintain change history; a flexible business rules engine for managing master data processes such as privacy and data movement; a user interface to support casual users and data stewards; a business intelligence structure to support profiling, compliance, and business performance indicators; and an analytical foundation for directly analyzing master data. Oracle's pre-built MDM Hub solutions are full-featured 3-tier Internet applications designed to participate in the full Oracle technology stack or to run independently in other open IT SOA environments. Building MDM solutions from scratch can take years. Oracle's pre-built MDM solutions can bring quality data to the enterprise in a matter of months. But if you must build, at lease build with the world's best technology stack in a way that simplifies the eventual upgrade to Oracle MDM and to the full enterprise wide information architecture that it enables.

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• New Release of Oracle EPM (Enterprise Performance Management)

  - by Theresa Hickman

  I'm a huge fan of Hyperion products and consider Hyperion to be one of the best acquisitions Oracle has made in terms of applications. So I am really excited to talk about their latest release, Release 11.1.2 of the Oracle EPM System. This is EPM's largest release in 2 years, and it's jam-packed with new modules and features. In terms of brand new products, there are three: 1. Public Sector Planning and Budgeting meets the needs of public sector agencies, higher education, governments, etc. that have complex budget requirements. It supports position or employee-based budgeting and integrates with MS Office and your ERP ledgers to perform commitment control. 2. Hyperion Financial Close Management is a complete financial close solution that orchestrates the entire close process from subledgers and general ledger to financial reporting and disclosure submissions. And of course, it is integrated with GL systems and consolidation systems. I saw a demo of this and it looked pretty slick. They have this unified close calendar that looks like a regular calendar that gives each person participating in the close process a task list. It comes with a Gantt chart that shows the relationships and dependencies among closing tasks. There are dashboards to allow you to track the close progress and completion of tasks as well as perform trend analysis and see how much time is being spent on different activities in the close process. This gives you visibility that you never had before to understand where the bottlenecks are and where improvements could be made. I think what I liked best about this product was that it provides a central place for all participants to communicate their progress. When I worked as an Accountant, we used ad hoc tools, such as spreadsheets, Word documents, emails, and phone calls during the close process. I like the idea of having a central system to track the overall progress as well as automate the entire financial close process. Who knows, maybe Accountants won't have to revolve their lives around the month end close anymore with a tool like this. Those periodic fire drills can become predictable, well managed processes. 3. Disclosure Management is an out-of-the-box, pre-packaged XBRL solution to meet statutory reporting requirements. This product is really going to help companies improve the timeliness of producing financial reports. Reports can be authored using MS Word and Excel and then XBRL instance documents can be produced with its embedded XBRL tags. It even supports footnotes and disclosures of non-financial information. With a product like this, companies no longer have to outsource their XBRL filing; they can bring it back in house to save costs and time. In terms of other enhancements, they have ERP Integrator that provides integration and drill downs from Hyperion products to source systems, such as Oracle E-Business Suite, PeopleSoft, and SAP. No other vendor offers this level of integration. There's also a new product that links Oracle Essbase directly to Hyperion Financial Management for internal financial reporting, and new integrations between Hyperion Financial Management and Oracle's GRC products. They also improved the usability of Oracle Hyperion Planning. They made it much easier for end users to use the system via the web or via MS Excel when submitting plans and budgets. It is also integrated with intelligent approval workflows that are data-driven, user-configurable, and scenario-specific to efficiently streamline the budgeting process. Here's the press release from April 7, 2010. Here's the pre-recorded web cast where you can see the demos. Just register and watch the hour long presentation. And finally, here's the newsletter

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• Master Data Management for Location Data - Oracle Site Hub

  - by david.butler(at)oracle.com

  Most MDM discussions cover key domains such as customer, supplier, product, service, and reference data. It is usually understood that these domains have complex structures and hundreds if not thousands of attributes that need governing. Location, on the other hand, strikes most people as address data. How hard can that be? But for many industries, locations are complex, and site information is critical to efficient operations and relevant analytics. Retail stores and malls, bank branches, construction sites come to mind. But one of the best industries for illustrating the power of a site mastering application is Oil & Gas.   Oracle's Master Data Management solution for location data is the Oracle Site Hub. It is a location mastering solution that enables organizations to centralize site and location specific information from heterogeneous systems, creating a single view of site information that can be leveraged across all functional departments and analytical systems.   Let's take a look at the location entities the Oracle Site Hub can manage for the Oil & Gas industry: organizations, property, land, buildings, roads, oilfield, service center, inventory site, real estate, facilities, refineries, storage tanks, vendor locations, businesses, assets; project site, area, well, basin, pipelines, critical infrastructure, offshore platform, compressor station, gas station, etc. Any site can be classified into multiple hierarchies, like organizational hierarchy, operational hierarchy, geographic hierarchy, divisional hierarchies and so on. Any site can also be associated to multiple clusters, i.e. collections of sites, and these can be used as a foundation for driving reporting, analysis, organize daily work, etc. Hierarchies can also be used to model entities which are structured or non-structured collections of nodes, like for example routes, pipelines and more. The User Defined Attribute Framework provides the needed infrastructure to add single row attributes groups like well base attributes (well IDs, well type, well structure and key characterizing measures, and more) and well geometry, and multi row attribute groups like well applications, permits, production data, activities, operations, logs, treatments, tests, drills, treatments, and KPIs. Site Hub can also model areas, lands, fields, basins, pools, platforms, eco-zones, and stratigraphic layers as specific sites, tracking their base attributes, aliases, descriptions, subcomponents and more. Midstream entities (pipelines, logistic sites, pump stations) and downstream entities (cylinders, tanks, inventories, meters, partner's sites, routes, facilities, gas stations, and competitor sites) can also be easily modeled, together with their specific attributes and relationships. Site Hub can store any type of unstructured data associated to a site. This could be stored directly or on an external content management solution, like Oracle Universal Content Management. Considering a well, for example, Site Hub can store any relevant associated multimedia file such as: CAD drawings of the well profile, structure and/or parts, engineering documents, contracts, applications, permits, logs, pictures, photos, videos and more. For any site entity, Site Hub can associate all the related assets and equipments at the site, as well as all relationships between sites, between a site and multiple parties, and between a site and any purchasable or sellable item, over time. Items can be equipment, instruments, facilities, services, products, production entities, production facilities (pipelines, batteries, compressor stations, gas plants, meters, separators, etc.), support facilities (rigs, roads, transmission or radio towers, airstrips, etc.), supplier products and services, catalogs, and more. Items can just be associated to sites using standard Site Hub features, or they can be fully mastered by implementing Oracle Product Hub. Site locations (addresses or geographical coordinates) are also managed with out-of-the-box address geo-coding capabilities coupled with Google Maps integration to deliver powerful mapping capabilities and spatial data analysis. Locations can be shared between different sites. Centered on the site location, any site can also have associated areas. Site Hub can master any site location specific information, like for example cadastral, ownership, jurisdictional, geological, seismic and more, and any site-centric area specific information, like for example economical, political, risk, weather, logistic, traffic information and more. Now if anyone ever asks you why locations need MDM, think about how all these Oil & Gas entities and attributes would translate into your business locations. To learn more about Oracle's full MDM solution for the digital oil field, here is a link to Roberto Negro's outstanding whitepaper: Oracle Site Master Data Management for mastering wells and other PPDM entities in a digital oilfield context  

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• Centralized Project Management Brings Needed Cost Controls to Growing Brazilian Firm

  - 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-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Fast growth and a significant increase in business activities were creating project management challenges for CPqD, a developer of innovative information and communication technologies for large Brazilian organizations. To bring greater efficiency and centralized project management capabilities to its operations, CPqD chose Oracle’s Primavera P6 Enterprise Project Portfolio Management. “Oracle Primavera is an essential tool for our day-to-day business, and I notice the effort Oracle makes to constantly innovate and to add more functionality in an increasingly shorter period of time,” says Márcio Alexandre da Silva, IT department project coordinator, CPqD. He explains that before CPqD implemented the Oracle solution, the company did not have a corporate view of projects. “Our project monitoring was decentralized and restricted to each coordinator,” the project coordinator says. “With the Oracle solution, we achieved actual shared management, more control, and budgets that stay within projections.” Among the benefits that CPqD now enjoys are The ability to more effectively identify how employees are allocated, enabling managers to increase or reduce resources based on project scope, as well as secure the resources required for unexpected projects and demands A 75 percent reduction in the time it takes to collect project data and indicators—automated and centralized collection means project coordinators no longer have to manually compile information that was spread among various systems Read the complete CPqD company snapshot Read more in the October Edition of the quarterly Information InDepth EPPM Newsletter 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-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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• Oracle Fusion Supply Chain Management (SCM) Designs May Improve End User Productivity

  - by Applications User Experience

  By Applications User Experience on March 10, 2011 Michele Molnar, Senior Usability Engineer, Applications User Experience The Challenge: The SCM User Experience team, in close collaboration with product management and strategy, completely redesigned the user experience for Oracle Fusion applications. One of the goals of this redesign was to increase end user productivity by applying design patterns and guidelines and incorporating findings from extensive usability research. But a question remained: How do we know that the Oracle Fusion designs will actually increase end user productivity? The Test: To answer this question, the SCM Usability Engineers compared Oracle Fusion designs to their corresponding existing Oracle applications using the workflow time analysis method. The workflow time analysis method breaks tasks into a sequence of operators. By applying standard time estimates for all of the operators in the task, an estimate of the overall task time can be calculated. The workflow time analysis method has been recently adopted by the Applications User Experience group for use in predicting end user productivity. Using this method, a design can be tested and refined as needed to improve productivity even before the design is coded. For the study, we selected some of our recent designs for Oracle Fusion Product Information Management (PIM). The designs encompassed tasks performed by Product Managers to create, manage, and define products for their organization. (See Figure 1 for an example.) In applying this method, the SCM Usability Engineers collaborated with Product Management to compare the new Oracle Fusion Applications designs against Oracle’s existing applications. Together, we performed the following activities: Identified the five most frequently performed tasks Created detailed task scenarios that provided the context for each task Conducted task walkthroughs Analyzed and documented the steps and flow required to complete each task Applied standard time estimates to the operators in each task to estimate the overall task completion time Figure 1. The interactions on each Oracle Fusion Product Information Management screen were documented, as indicated by the red highlighting. The task scenario and script provided the context for each task.  The Results: The workflow time analysis method predicted that the Oracle Fusion Applications designs would result in productivity gains in each task, ranging from 8% to 62%, with an overall productivity gain of 43%. All other factors being equal, the new designs should enable these tasks to be completed in about half the time it takes with existing Oracle Applications. Further analysis revealed that these performance gains would be achieved by reducing the number of clicks and screens needed to complete the tasks. Conclusions: Using the workflow time analysis method, we can expect the Oracle Fusion Applications redesign to succeed in improving end user productivity. The workflow time analysis method appears to be an effective and efficient tool for testing, refining, and retesting designs to optimize productivity. The workflow time analysis method does not replace usability testing with end users, but it can be used as an early predictor of design productivity even before designs are coded. We are planning to conduct usability tests later in the development cycle to compare actual end user data with the workflow time analysis results. Such results can potentially be used to validate the productivity improvement predictions. Used together, the workflow time analysis method and usability testing will enable us to continue creating, evaluating, and delivering Oracle Fusion designs that exceed the expectations of our end users, both in the quality of the user experience and in productivity. (For more information about studying productivity, refer to the Measuring User Productivity blog.)

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• Personal Financial Management – The need for resuscitation

  - by Salil Ravindran

  Until a year or so ago, PFM (Personal Financial Management) was the blue eyed boy of every channel banking head. In an age when bank account portability is still fiction, PFM was expected to incentivise customers to switch banks. It still is, in some emerging economies, but if the state of PFM in matured markets is anything to go by, it is in a state of coma and badly requires resuscitation. Studies conducted around the year show an alarming decline and stagnation in PFM usage in mature markets. A Sept 2012 report by Aite Group – Strategies for PFM Success shows that 72% of users hadn’t used PFM and worse, 58% of them were not kicked about using it. Of the rest who had used it, only half did on a bank site. While there are multiple reasons for this lack of adoption, some are glaringly obvious. While pretty graphs and pie charts are important to provide a visual representation of my income and expense, it is simply not enough to encourage me to return. Static representation of data without any insightful analysis does not help me. Budgeting and Cash Flow is important but when I have an operative account, a couple of savings accounts, a mortgage loan and a couple of credit cards help me with what my affordability is in specific contexts rather than telling me I just busted my budget. Help me with relative importance of each budget category so that I know it is fine to go over budget on books for my daughter as against going over budget on eating out. Budget over runs and spend analysis are post facto and I am informed of my sins only when I return to online banking. That too, only if I decide to come to the PFM area. Fundamentally, PFM should be a part of my banking engagement rather than an analysis tool. It should be contextual so that I can make insight based decisions. So what can be done to resuscitate PFM? Amalgamation with banking activities – In most cases, PFM tools are integrated into online banking pages and they are like chapter 37 of a long story. PFM needs to be a way of banking rather than a tool. Available balances should shift to Spendable Balances. Budget and goal related insights should be integrated with transaction sessions to drive pre-event financial decisions. Personal Financial Guidance - Banks need to think ground level and see if their PFM offering is really helping customers achieve self actualisation. Banks need to recognise that most customers out there are non-proficient about making the best value of their money. Customers return when they know that they are being guided rather than being just informed on their finance. Integrating contextual financial offers and financial planning into PFM is one way ahead. Yet another way is to help customers tag unwanted spending thereby encouraging sound savings habits. Mobile PFM – Most banks have left all those numbers on online banking. With access mostly having moved to devices and the success of apps, moving PFM on to devices will give it a much needed shot in the arm. This is not only about presenting the same wine in a new bottle but also about leveraging the power of the device in pushing real time notifications to make pre-purchase decisions. The pursuit should be to analyse spend, budgets and financial goals real time and push them pre-event on to the device. So next time, I should know that I have over run my eating out budget before walking into that burger joint and not after. Increase participation and collaboration – Peer group experiences and comments are valued above those offered by the bank. Integrating social media into PFM engagement will let customers share and solicit their financial management experiences with their peer group. Peer comparisons help benchmark one’s savings and spending habits with those of the peer group and increases stickiness. While mature markets have gone through this learning in some way over the last one year, banks in maturing digital banking economies increasingly seem to be falling into this trap. Best practices lie in profiling and segmenting customers, being where they are and contextually guiding them to identify and achieve their financial goals. Banks could look at the likes of Simple and Movenbank to draw inpiration from.

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• Reaching to the Holy Grail of Data Management

  - by Irem Radzik

  Pervasive, continuous access to trusted data. That’s the ultimate goal of data management. It enables to leverage data as an asset to create value for customers and the organization. It creates the strong foundation needed to move the business forward. How you get there is also critical. As with all IT initiatives using high performance solutions with low cost of ownership is another key requirement in today’s IT world. Oracle's  data integration product strategy focuses on helping customers achieve this ultimate goal with high performance and low TCO.  At OpenWorld, we will be showing how Oracle Data Integration products help you reach your data management goals, considering new trends in information management, such as big data and cloud computing. We will also provide an update on the latest product releases, such as Oracle GoldenGate 11gR2. If you will be at OpenWorld, please join us on Monday Oct 1st 10:45am at Moscone West – 3005 to hear our VP of Product Development, Brad Adelberg, present "Future Strategy, Direction, and Roadmap of Oracle’s Data Integration Platform". The Data Integration track at OpenWorld covers variety of topics and speakers. In addition to product management of Oracle GoldenGate, Oracle Data Integrator, and Enteprise Data Quality presenting product updates and roadmap, we have several customer panels and stand-alone sessions featuring select customers such as St. Jude Medical, Raymond James, Aderas, Turkcell, Paychex, Comcast,  Ticketmaster, Bank of America and more. You can see an overview of Data Integration sessions here. If you are not able to attend OpenWorld, please check out our latest resources for Data Integration and Oracle GoldenGate. In the coming weeks you will see more blogs about our products’ new capabilities and what to expect at OpenWorld. I hope to see you at OpenWorld and stay in touch via our future blogs. 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;}

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• Master Data Management and Cloud Computing

  - by david.butler(at)oracle.com

  Cloud Computing is all the rage these days. There are many reasons why this is so. But like its predecessor, Service Oriented Architecture, it can fall on hard times if the underlying data is left unmanaged. Master Data Management is the perfect Cloud companion. It can materially increase the chances for successful Cloud initiatives. In this blog, I'll review the nature of the Cloud and show how MDM fits in.   Here's the National Institute of Standards and Technology Cloud definition: •          Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction.   Cloud architectures have three main layers: applications or Software as a Service (SaaS), Platforms as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS generally refers to applications that are delivered to end-users over the Internet. Oracle CRM On Demand is an example of a SaaS application. Today there are hundreds of SaaS providers covering a wide variety of applications including Salesforce.com, Workday, and Netsuite. Oracle MDM applications are located in this layer of Oracle's On Demand enterprise Cloud platform. We call it Master Data as a Service (MDaaS). PaaS generally refers to an application deployment platform delivered as a service. They are often built on a grid computing architecture and include database and middleware. Oracle Fusion Middleware is in this category and includes the SOA and Data Integration products used to connect SaaS applications including MDM. Finally, IaaS generally refers to computing hardware (servers, storage and network) delivered as a service.  This typically includes the associated software as well: operating systems, virtualization, clustering, etc.    Cloud Computing benefits are compelling for a large number of organizations. These include significant cost savings, increased flexibility, and fast deployments. Cost advantages include paying for just what you use. This is especially critical for organizations with variable or seasonal usage. Companies don't have to invest to support peak computing periods. Costs are also more predictable and controllable. Increased agility includes access to the latest technology and experts without making significant up front investments.   While Cloud Computing is certainly very alluring with a clear value proposition, it is not without its challenges. An IDC survey of 244 IT executives/CIOs and their line-of-business (LOB) colleagues identified a number of issues:   Security - 74% identified security as an issue involving data privacy and resource access control. Integration - 61% found that it is hard to integrate Cloud Apps with in-house applications. Operational Costs - 50% are worried that On Demand will actually cost more given the impact of poor data quality on the rest of the enterprise. Compliance - 49% felt that compliance with required regulatory, legal and general industry requirements (such as PCI, HIPAA and Sarbanes-Oxley) would be a major issue. When control is lost, the ability of a provider to directly manage how and where data is deployed, used and destroyed is negatively impacted.  There are others, but I singled out these four top issues because Master Data Management, properly incorporated into a Cloud Computing infrastructure, can significantly ameliorate all of these problems. Cloud Computing can literally rain raw data across the enterprise.   According to fellow blogger, Mike Ferguson, "the fracturing of data caused by the adoption of cloud computing raises the importance of MDM in keeping disparate data synchronized."   David Linthicum, CTO Blue Mountain Labs blogs that "the lack of MDM will become more of an issue as cloud computing rises. We're moving from complex federated on-premise systems, to complex federated on-premise and cloud-delivered systems."    Left unmanaged, non-standard, inconsistent, ungoverned data with questionable quality can pollute analytical systems, increase operational costs, and reduce the ROI in Cloud and On-Premise applications. As cloud computing becomes more relevant, and more data, applications, services, and processes are moved out to cloud computing platforms, the need for MDM becomes ever more important. Oracle's MDM suite is designed to deal with all four of the above Cloud issues listed in the IDC survey.   Security - MDM manages all master data attribute privacy and resource access control issues. Integration - MDM pre-integrates Cloud Apps with each other and with On Premise applications at the data level. Operational Costs - MDM significantly reduces operational costs by increasing data quality, thereby improving enterprise business processes efficiency. Compliance - MDM, with its built in Data Governance capabilities, insures that the data is governed according to organizational standards. This facilitates rapid and accurate reporting for compliance purposes. Oracle MDM creates governed high quality master data. A unified cleansed and standardized data view is produced. The Oracle Customer Hub creates a single view of the customer. The Oracle Product Hub creates high quality product data designed to support all go-to-market processes. Oracle Supplier Hub dramatically reduces the chances of 'supplier exceptions'. Oracle Site Hub masters locations. And Oracle Hyperion Data Relationship Management masters financial reference data and manages enterprise hierarchies across operational areas from ERP to EPM and CRM to SCM. Oracle Fusion Middleware connects Cloud and On Premise applications to MDM Hubs and brings high quality master data to your enterprise business processes.   An independent analyst once said "Poor data quality is like dirt on the windshield. You may be able to drive for a long time with slowly degrading vision, but at some point, you either have to stop and clear the windshield or risk everything."  Cloud Computing has the potential to significantly degrade data quality across the enterprise over time. Deploying a Master Data Management solution prior to or in conjunction with a move to the Cloud can insure that the data flowing into the enterprise from the Cloud is clean and governed. This will in turn insure that expected returns on the investment in Cloud Computing will be realized.       Oracle MDM has proven its metal in this area and has the customers to back that up. In fact, I will be hosting a webcast on Tuesday, April 10th at 10 am PT with one of our top Cloud customers, the Church Pension Group. They have moved all mainline applications to a hosted model and use Oracle MDM to insure the master data is managed and cleansed before it is propagated to other cloud and internal systems. I invite you join Martin Hossfeld, VP, IT Operations, and Danette Patterson, Enterprise Data Manager as they review business drivers for MDM and hosted applications, how they did it, the benefits achieved, and lessons learned. You can register for this free webcast here.  Hope to see you there.

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• Feedback on meeting of the Linux User Group of Mauritius

  Once upon a time in a country far far away... Okay, actually it's not that bad but it has been a while since the last meeting of the Linux User Group of Mauritius (LUGM). There have been plans in the past but it never really happened. Finally, Selven took the opportunity and organised a new meetup with low administrative overhead, proper scheduling on alternative dates and a small attendee's survey on the preferred option. All the pre-work was nicely executed. First, I wasn't sure whether it would be possible to attend. Luckily I got some additional information, like children should come, too, and I was sold to this community gathering. According to other long-term members of the LUGM it was the first time 'ever' that a gathering was organised outside of Quatre Bornes, and I have to admit it was great! LUGM - user group meeting on the 15.06.2013 in L'Escalier Quick overview of Linux & the LUGM With a little bit of delay the LUGM meeting officially started with a quick overview and introduction to Linux presented by Avinash. During the session he told the audience that there had been quite some activity over the island some years ago but unfortunately it had been quiet during recent times. Of course, we also spoke about the acknowledged world dominance of Linux - thanks to Android - and the interesting possibilities for countries like Mauritius. It is known that a couple of public institutions have there back-end infrastructure running on Red Hat Linux systems but the presence on the desktop is still very low. Users are simply hanging on to Windows XP and older versions of Microsoft Office. Following the introduction of the LUGM Ajay joined into the session and it quickly changed into a panel discussion with lots of interesting questions and answers, sharing of first-hand experience either on the job or in private use of Linux, and a couple of ideas about how the LUGM could promote Linux a bit more in Mauritius. It was great to get an insight into other attendee's opinion and activities. Especially taking into consideration that I'm already using Linux since around 1996/97. Frankly speaking, I bought a SuSE 4.x distribution back in those days because I couldn't achieve certain tasks on Windows NT 4.0 without spending a fortune. OpenELEC Mediacenter Next, Selven gave us decent introduction on OpenELEC: Open Embedded Linux Entertainment Center (OpenELEC) is a small Linux distribution built from scratch as a platform to turn your computer into an XBMC media center. OpenELEC is designed to make your system boot fast, and the install is so easy that anyone can turn a blank PC into a media machine in less than 15 minutes. I didn't know about it until this presentation. In the past, I was mainly attached to Video Disk Recorder (VDR) as it allows the use of satellite receiver cards very easily. Hm, somehow I'm still missing my precious HTPC that I had to leave back in Germany years ago. It was great piece of hardware and software; self-built PC in a standard HiFi-sized (43cm) black desktop casing with 2 full-featured Hauppauge DVB-s cards, an old-fashioned Voodoo graphics card, WiFi card, Pioneer slot-in DVD drive, and fully remote controlled via infra-red thanks to Debian, VDR and LIRC. With EP Guide, scheduled recordings and general multimedia centre it offered all the necessary comfort in the living room, besides a Nintendo game console; actually a GameCube at that time... But I have to admit that putting OpenELEC on a Raspberry Pi would be a cool DIY project in the near future. LUGM - our next generation of linux users (15.06.2013) Project Evil Genius (PEG) Don't be scared of the paragraph header. Ish gave us a cool explanation why he named it PEG - Project Evil Genius; it's because of the time of the day when he was scripting down his ideas to be able to build, package and provide software applications to various Linux distributions. The main influence came from openSuSE but the platform didn't cater for his needs and ideas, so he started to work out something on his own. During his passionate session he also talked about the amazing experience he had due to other Linux users from all over the world. During the next couple of days Ish promised to put his script to GitHub... Looking forward to that. Check out Ish's personal blog over at hacklog.in. Highly recommended to read. Why India? Simply because the registration fees per year for an Indian domain are approximately 20 times less than for a Mauritian domain (.mu). Exploring the beach of L'Escalier af the meeting 'After-party' at the beach of L'Escalier Puh, after such interesting sessions, ideas around Linux and good conversation during the breaks and over lunch it was time for a little break-out. Selven suggested that we all should head down to the beach of L'Escalier and get some impressions of nature down here in the south of the island. Talking about 'beach' ;-) - absolutely not comparable to the white-sanded ones here in Flic en Flac... There are no lagoons down at the south coast of Mauriitus, and watching the breaking waves is a different experience and joy after all. Unfortunately, I was a little bit worried about the thoughtless littering at such a remote location. You have to drive on natural paths through the sugar cane fields and I was really shocked by the amount of rubbish lying around almost everywhere. Sad, really sad and it concurs with Yasir's recent article on the same topic. Resumé & outlook It was a great event. I met with new people, had some good conversations, and even my children enjoyed themselves the whole day. The location was well-chosen, enough space for each and everyone, parking spaces and even a playground for the children. Also, a big "Thank You" to Selven and his helpers for the organisation and preparation of lunch. I'm kind of sure that this was an exceptional meeting of LUGM and I'm really looking forward to the next gathering of Linux geeks. Hopefully, soon. All images are courtesy of Avinash Meetoo. More pictures are available on Flickr.

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• Group variables in a boxplot in R

  - by tao.hong

  I am trying to generate a boxplot whose data come from two scenarios. In the plot, I would like to group boxes by their names (So there will be two boxes per variable). I know ggplot would be a good choice. But I got errors which I could not figure out. Can anyone give me some suggestions? sensitivity_out1 structure(c(0.0522902104339716, 0.0521369824334004, 0.0520240345973737, 0.0519818337359876, 0.051935071418996, 0.0519089404325544, 0.000392698277338341, 0.000326135474295325, 0.000280863338343747, 0.000259631566041935, 0.000246594043996332, 0.000237923540393391, 0.00046732650331544, 0.000474448907808135, 0.000478287273678457, 0.000480194683464109, 0.000480631753078668, 0.000481760272726273, 0.000947965771207979, 0.000944821699830455, 0.000939631071343889, 0.000937186900570605, 0.000936007346568281, 0.000934756220144141, 0.00132442589501872, 0.00132658367774979, 0.00133334696220742, 0.00133622384928092, 0.0013381577476241, 0.00134005741746304, 0.0991622968751298, 0.100791399440082, 0.101946808417405, 0.102524244727408, 0.102920085260477, 0.103232984259916, 0.0305219507186844, 0.0304635269233494, 0.0304161055015213, 0.0303742106794513, 0.0303381888169022, 0.0302996157711171, 1.94268588634518e-05, 2.23991225564447e-05, 2.5756135487907e-05, 2.79997917298194e-05, 3.00753967077715e-05, 3.16270817369878e-05, 0.544701146678523, 0.542887331601984, 0.541632986366816, 0.541005610554556, 0.540617004208336, 0.540315690692195, 0.000453386694666078, 0.000448473414508756, 0.00044692043197248, 0.000444826296854332, 0.000445747996014684, 0.000444764303682453, 0.000127569551159321, 0.000128422491392669, 0.00012933662856487, 0.000129941842982939, 0.000129578971489026, 0.000131113075233758, 0.00684610571790029, 0.00686349387897349, 0.00687468164010565, 0.00687880720347743, 0.00688275579317197, 0.00687822247621936), .Dim = c(6L, 12L)) out2 structure(c(0.0189965816735366, 0.0189995096225103, 0.0190099362589894, 0.0190033523148514, 0.01900896721937, 0.0190099427513381, 0.00192043989797585, 0.00207303208721059, 0.00225931163225165, 0.0024049969048389, 0.00252310364086785, 0.00262940166568126, 0.00195164921633517, 0.00190079923515755, 0.00186139563778548, 0.00184188171395076, 0.00183248544676564, 0.00182492970673969, 1.83038731485927e-05, 1.98252671720347e-05, 2.14794764479231e-05, 2.30713122969332e-05, 2.4484220713564e-05, 2.55958833705284e-05, 0.0428066864455102, 0.0431686808647809, 0.0434411033615353, 0.0435883377765726, 0.0436690169266633, 0.0437340464360965, 0.145288252474567, 0.141488776430307, 0.138204532539654, 0.136281799717717, 0.134864952272761, 0.133738386148036, 0.0711728636959696, 0.072031388688795, 0.0727536853228245, 0.0731581966147734, 0.0734424337399303, 0.0736637270702609, 0.000605277151497094, 0.000617268349064968, 0.000632975679951382, 0.000643904422677427, 0.000653775268094148, 0.000662225067910141, 0.26735354610469, 0.267515415990146, 0.26753155165617, 0.267553498616325, 0.267532284594615, 0.267510330320289, 0.000334158771646756, 0.000319032383145857, 0.000306074699839994, 0.000299153278494114, 0.000293956197852583, 0.000290171804454218, 0.000645975219899115, 0.000637548672578787, 0.000632375486965757, 0.000629579821884212, 0.000624956458229123, 0.000622456283217054, 0.0645188290106884, 0.0651539609630352, 0.0656417364889907, 0.0658996698322889, 0.0660715073023965, 0.0662034341510152), .Dim = c(6L, 12L)) Melt data: group variable value 1 1 PLDKRT 0 2 1 PLDKRT 0 3 1 PLDKRT 0 4 1 PLDKRT 0 5 1 PLDKRT 0 6 1 PLDKRT 0 Code: #Data_source 1 sensitivity_1=rbind(sensitivity_out1,sensitivity_out2) sensitivity_1=data.frame(sensitivity_1) colnames(sensitivity_1)=main_l #variable names sensitivity_1$group=1 #Data_source 2 sensitivity_2=rbind(sensitivity_out1[3:4,],sensitivity_out2[3:4,]) sensitivity_2=data.frame(sensitivity_2) colnames(sensitivity_2)=main_l sensitivity_2$group=2 sensitivity_pool=rbind(sensitivity_1,sensitivity_2) sensitivity_pool_m=melt(sensitivity_pool,id.vars="group") ggplot(data = sensitivity_pool_m, aes(x = variable, y = value)) + geom_boxplot(aes( fill= group), width = 0.8) Error: "Error in unit(tic_pos.c, "mm") : 'x' and 'units' must have length > 0" Update Figure out the error. I should use geom_boxplot(aes( fill= factor(group)), width = 0.8) rather than fill= group

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• Is it possible to group rows twice in MySQL?

  - by DisgruntledGoat

  I have a table like this: someid somestring 1 Hello 1 World 1 Blah 2 World 2 TestA 2 TestB ... Currently I'm grouping by the id and concatenating the strings, so I end up with this: 1 Hello,World,Blah 2 World,TestA,TestB ... Is it possible to do a second grouping so that if there are multiple entries that end up with the same string, I can group those too?

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• sql: Group by x,y,z; return grouped by x,y with lowest f(z)

  - by Sai Emrys

  This is for http://cssfingerprint.com I collect timing stats about how fast the different methods I use perform on different browsers, etc., so that I can optimize the scraping speed. Separately, I have a report about what each method returns for a handful of URLs with known-correct values, so that I can tell which methods are bogus on which browsers. (Each is different, alas.) The related tables look like this: CREATE TABLE `browser_tests` ( `id` int(11) NOT NULL AUTO_INCREMENT, `bogus` tinyint(1) DEFAULT NULL, `result` tinyint(1) DEFAULT NULL, `method` varchar(255) DEFAULT NULL, `url` varchar(255) DEFAULT NULL, `os` varchar(255) DEFAULT NULL, `browser` varchar(255) DEFAULT NULL, `version` varchar(255) DEFAULT NULL, `created_at` datetime DEFAULT NULL, `updated_at` datetime DEFAULT NULL, `user_agent` varchar(255) DEFAULT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB AUTO_INCREMENT=33784 DEFAULT CHARSET=latin1 CREATE TABLE `method_timings` ( `id` int(11) NOT NULL AUTO_INCREMENT, `method` varchar(255) DEFAULT NULL, `batch_size` int(11) DEFAULT NULL, `timing` int(11) DEFAULT NULL, `os` varchar(255) DEFAULT NULL, `browser` varchar(255) DEFAULT NULL, `version` varchar(255) DEFAULT NULL, `user_agent` varchar(255) DEFAULT NULL, `created_at` datetime DEFAULT NULL, `updated_at` datetime DEFAULT NULL, PRIMARY KEY (`id`) ) ENGINE=InnoDB AUTO_INCREMENT=28849 DEFAULT CHARSET=latin1 (user_agent is broken down pre-insert into browser, version, and os from a small list of recognized values using regex; I keep the original user-agent string just in case.) I have a query like this that tells me the average timing for every non-bogus browser / version / method tuple: select c, avg(bogus) as bog, timing, method, browser, version from browser_tests as b inner join ( select count(*) as c, round(avg(timing)) as timing, method, browser, version from method_timings group by browser, version, method having c > 10 order by browser, version, timing ) as t using (browser, version, method) group by browser, version, method having bog < 1 order by browser, version, timing; Which returns something like: c bog tim method browser version 88 0.8333 184 reuse_insert Chrome 4.0.249.89 18 0.0000 238 mass_insert_width Chrome 4.0.249.89 70 0.0400 246 mass_insert Chrome 4.0.249.89 70 0.0400 327 mass_noinsert Chrome 4.0.249.89 88 0.0556 367 reuse_reinsert Chrome 4.0.249.89 88 0.0556 383 jquery Chrome 4.0.249.89 88 0.0556 863 full_reinsert Chrome 4.0.249.89 187 0.0000 105 jquery Chrome 5.0.307.11 187 0.8806 109 reuse_insert Chrome 5.0.307.11 123 0.0000 110 mass_insert_width Chrome 5.0.307.11 176 0.0000 231 mass_noinsert Chrome 5.0.307.11 176 0.0000 237 mass_insert Chrome 5.0.307.11 187 0.0000 314 reuse_reinsert Chrome 5.0.307.11 187 0.0000 372 full_reinsert Chrome 5.0.307.11 12 0.7500 82 reuse_insert Chrome 5.0.335.0 12 0.2500 102 jquery Chrome 5.0.335.0 [...] I want to modify this query to return only the browser/version/method with the lowest timing - i.e. something like: 88 0.8333 184 reuse_insert Chrome 4.0.249.89 187 0.0000 105 jquery Chrome 5.0.307.11 12 0.7500 82 reuse_insert Chrome 5.0.335.0 [...] How can I do this, while still returning the method that goes with that lowest timing? I could filter it app-side, but I'd rather do this in mysql since it'd work better with my caching.

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• MySQL to fill in missing dates when using GROUP BY DATE(table.timestamp) without joining on temporar

  - by twmulloy

  Hello, after reading through a couple similar Qs/As I haven't quite found the solution I'm looking for. The table data I have is GROUP BY DATE(timestamp) and returning a count, example result: [timestamp] = 2010-05-12 20:18:36 [count] = 10 [timestamp] = 2010-05-14 10:10:10 [count] = 8 Without using a temporary table, or calendar table is there a way to fill in those missing dates? so that with the same table data would return (adding the bold row): [timestamp] = 2010-05-12 20:18:36 [count] = 10 [timestamp] = 2010-05-13 00:00:00 [count] = 0 [timestamp] = 2010-05-14 10:10:10 [count] = 8 Thanks!

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• Linq/C#: Selecting and summing items from the result of a group by?

  - by Andrew White

  Hi, I have a list like this: City Total Sydney 11 Dublin 9 London 12 Dublin 3 London 9 Sydney 12 I first of all need to Group By City & Sum Total so I have Sydney 23 Dublin 12 London 21 Next I need to filter for those that entries where the total is 20 Sydney 23 London 21 And what I finally need is the total of these entries, e.g. 44 I really want to do it in 1 single LINQ statement, possible? Thx,

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• iPhone Connect Facebook. Join a Page/Group Option availble?

  - by Orange E

  Hello, I am using iPhone Connect to link my application to Facebook. Is there anyway to let user join a Page/Group on Facebook, right from the Application? Thanks in advance.

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• How to perform group by in LINQ and get a Iqueryable or a Custom Class Object?

  - by VJ

  Here is my query - var data = Goaldata.GroupBy(c => c.GoalId).ToList(); This returns a Igrouping object and I want an Iqueryable object which I can directly query to get the data while in this case I have to loop through using a foreach() and then get the data. Is there another way to group by in LINQ which returns directly a list of Iqueryable or the a List as similar to what happens for order by in LINQ.

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• How can I get a COUNT(col) ... GROUP BY to use an index?

  - by thecoop

  I've got a table (col1, col2, ...) with an index on (col1, col2, ...). The table has got millions of rows in it, and I want to run a query: SELECT col1, COUNT(col2) WHERE col1 NOT IN (<couple of exclusions>) GROUP BY col1 Unfortunately, this is resulting in a full table scan of the table, which takes upwards of a minute. Is there any way of getting oracle to use the index on the columns to return the results much faster?

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• Does anybody actually use the permissions policy controls in tomcat?

  - by stu

  While I can appreciate the point of the fine granularity in which you can enable security for every single little thing for each individual application in tomcat, in reality, it's an insane pain in the ass. Every single file, socket, everything for every single application. Sure if you're writing a "hello world" application, it's not too much to ask, but an enterprise sized application? That's insane. Does anybody actually use it, or does everybody just say "*" for everything?

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• What can cause a DirectAccess IPSec Main Mode Error "no policy configured"

  - by Mike Haboustak

  We have Microsoft's DirectAccess VPN set up on Server 2008 R2 with end-to-edge security, and we're having trouble with the manage-out tunnel. The DirectAccess client has DC/DNS and intranet connectivity, it can ping/rdp/etc to intranet hosts. However connections originating from those same intranet hosts can only intermittently reach the client. At times it works fine, other times it doesn't. When an inbound (intranet to client) connection is attempted there's an IPSec Main Mode failure logged: Event 4653 with a failure reason of "No Policy Configured". I think that it may be related to the state of the intranet (corp) access tunnel, and an overlap in the configured subnets for those polices. I haven't figured out exactly what's different in the scenario where the connection works and where it does not.

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• Using Cloud Formation provisioned security group with specific subnet

  - by Fred Clausen

  Summary I'm attempting to create an AWS CloudFormation template which contains an instance for which I want to select a particular subnet. If I specify the subnet ID then I get the following error The parameter groupName cannot be used with the parameter subnet. From reading this thread it appears I need to provide security group IDs - not names. How can I create a security group in CloudFormation and then get its ID after the fact? Details The relevant part of the instance config is as follows "WebServerHost": { "Type" : "AWS::EC2::Instance", <..skipping metadata...> "Properties": { "ImageId" : { "ami-1234" }, "InstanceType" : { "Ref" : "WebServerInstanceType" }, "SecurityGroups" : [ {"Ref" : "WebServerSecurityGroup"} ], "SubnetId" : "subnet-abcdef123", and the security group looks as follows "WebServerSecurityGroup" : { "Type" : "AWS::EC2::SecurityGroup", "Properties" : { "GroupDescription" : "Enable HTTP and SSH", "SecurityGroupIngress" : [ {"IpProtocol" : "tcp", "FromPort" : "80", "ToPort" : "80", "CidrIp" : "0.0.0.0/0"}, {"IpProtocol" : "tcp", "FromPort" : "22", "ToPort" : "22", "CidrIp" : "0.0.0.0/0"} ] } }, How can I create and then get that security group's ID?

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• SGE: invoking qmake raises "critical error: can't resolve group"

  - by Pierre

  I'm new to SGE an I'm trying to run qmake with the simple following Makefile with our very new cluster: merge.txt: job1.txt job2.txt job3.txt ... cat $^ > $@ job1.txt: sleep 1 echo "Hello From " $@ > $@ sleep 1 job2.txt: sleep 2 echo "Hello From " $@ > $@ sleep 2 job3.txt: (...) the following command raises an error: qmake -l arch=lx24-amd64 -cwd -v PATH -- -j 4 sleep 1 dynamic mode sleep 2 dynamic mode sleep 3 dynamic mode sleep 4 dynamic mode critical error: can't resolve group qmake: *** [job3.txt] Error 1 critical error: can't resolve group qmake: *** [job2.txt] Error 1 critical error: can't resolve group qmake: *** [job1.txt] Error 1 critical error: can't resolve group what's wrong ?

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• Getting a list of patches in an HPSA patch policy

  - by asm

  I'm trying to get a list of patches contained in a Patch Policy in HPSA -- I can get what I need via the Twister web interface (under PatchPolicy.getPatches(), give it an ID, and it happily returns a list of patches contained.) -- I'm having a hard time getting this to work via the Pytwist interface, though... I haven't used the Pytwist interface for much besides some very basic Device manipulation, and Python is.. not my forte. I create the TwistServer object, then a PatchPolicy object from that (which I think is working..), but can't figure out how/where to call the getPatches() method from in Python-land. If there's a way to dig this out of the database itself, that would work, too, but I can't seem to find much in there along these lines besides the vendor-recommended patching stuff, and we use custom policies.

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• Winbind group lookup painfully slow

  - by Marty

  I am running winbind on an RHEL 6 system. Everything works fine except group lookups, so many commands (including sudo) are painfully slow. I did an strace which shows that winbind looks up every group and every user within each group for the current user. Some of these groups have 20000+ users so a simple sudo can take 60 seconds to complete. I really only care about speeding up the sudo command. Ideal solutions would make it so either: groups with more than X number of users will not be looked up, or sudo bypasses group lookups altogether. Here is my current "smb.conf" for winbind: workgroup = EXAMPLE password server = AD1.EXAMPLE.ORG realm = EXAMPLE.ORG security = ads idmap uid = 10000-19999 idmap gid = 10000-19999 idmap config EXAMPLE:backend = rid idmap config EXAMPLE:range = 10000000-19999999 winbind enum users = no winbind enum groups = no winbind separator = + template homedir = /home/%U template shell = /bin/bash winbind use default domain = yes winbind offline logon = false

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