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  • Making a Job Change That's Easy Why Not Try a Career Change

    - by david.talamelli
    A few nights ago I received a comment on one of our blog posts that reminded me of a statistic that I heard a while back. The statistic reflected the change in our views towards work and showed how while people in past generations would stay in one role for their working career - now with so much choice people not only change jobs often but also change careers 4-5 times in their working life. To differentiate between a job change and a career change: when I say job change this could be an IT Sales person moving from one IT Sales role to another IT Sales role. A Career change for example would be that same IT Sales person moving from IT Sales to something outside the scope of their industry - maybe to something like an Engineer or Scuba Dive Instructor. The reason for Career changes can be as varied as the people who make them. Someone's motivation could be to pursue a passion or maybe there is a change in their personal circumstances forcing the change or it could be any other number of reasons. I think it takes courage to make a Career change - it can be easy to stay in your comfort zone and do what you know, but to really push yourself sometimes you need to try something new, it is a matter of making that career transition as smooth as possible for yourself. The comment that was posted is here below (thanks Dean for the kind words they are appreciated). Hi David, I just wanted to let you know that I work for a company called Milestone Search in Melbourne, Victoria Australia. (www.mstone.com.au) We subscribe to your feed on a daily basis and find your blogs both interesting and insightful. Not to mention extremely entertaining. I wonder if you have missed out on getting in journalism as this seems to be something you'd be great at ?: ) Anyways back to my point about changing careers. This could be anything from going from I.T. to Journalism, Engineering to Teaching or any combination of career you can think of. I don't think there ever has been a time where we have had so many opportunities to do so many different things in our working life. While this idea sounds great in theory, putting it into practice would be much harder to do I think. First, in an increasingly competitive job market, employers tend to look for specialists in their field. You may want to make a change but your options may be limited by the number of employers willing to take a chance on someone new to an industry that will likely require a significant investment in time to get brought up to speed. Also, using myself as an example if I was given the opportunity to move into Journalism/Communication/Marketing career from my career as an IT Recruiter - realistically I would have to take a significant pay cut to make this change as my current salary reflects the expertise I have in my current career. I would not immediately be up to speed moving into a new career and would not be able to justify a similar salary. Yes there are transferable skills in any career change, but even though you may have transferable skills you must realise that you will also have a large amount of learning to do which would take time. These are two initial hurdles that I immediately think of, there may be more but nothing is insurmountable. If you work out what you want to do with your working career whatever that may be, you then need to just need to work out the steps to get to your end goal. This is where utilising the power of your networks and using Social Media can come in handy. If you are interested in working somewhere why not proactively take the opportunity to research the industry or company - find out who it is you need to speak to and get in touch with them. We spend so much time working, we should enjoy the work we do and not be afraid to try new things. Waiting for your dream job to fall into your lap or be handed to you on a silver platter is not likely going to happen, so if there is something you do want to do, work out a plan to make it happen and chase after it. This article was originally posted on David Talamelli's Blog - David's Journal on Tap

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  • Talking JavaOne with Rock Star Simon Ritter

    - by Janice J. Heiss
    Oracle’s Java Technology Evangelist Simon Ritter is well known at JavaOne for his quirky and fun-loving sessions, which, this year include: CON4644 -- “JavaFX Extreme GUI Makeover” (with Angela Caicedo on how to improve UIs in JavaFX) CON5352 -- “Building JavaFX Interfaces for the Real World” (Kinect gesture tracking and mind reading) CON5348 -- “Do You Like Coffee with Your Dessert?” (Some cool demos of Java of the Raspberry Pi) CON6375 -- “Custom JavaFX Charts: (How to extend JavaFX Chart controls with some interesting things) I recently asked Ritter about the significance of the Raspberry Pi, the topic of one of his sessions that consists of a credit card-sized single-board computer developed in the UK with the intention of stimulating the teaching of basic computer science in schools. “I don't think there's one definitive thing that makes the RP significant,” observed Ritter, “but a combination of things that really makes it stand out. First, it's the cost: $35 for what is effectively a completely usable computer. OK, so you have to add a power supply, SD card for storage and maybe a screen, keyboard and mouse, but this is still way cheaper than a typical PC. The choice of an ARM processor is also significant, as it avoids problems like cooling (no heat sink or fan) and can use a USB power brick.  Combine these two things with the immense groundswell of community support and it provides a fantastic platform for teaching young and old alike about computing, which is the real goal of the project.”He informed me that he’ll be at the Raspberry Pi meetup on Saturday (not part of JavaOne). Check out the details here.JavaFX InterfacesWhen I asked about how JavaFX can interface with the real world, he said that there are many ways. “JavaFX provides you with a simple set of programming interfaces that can create complex, cool and compelling user interfaces,” explained Ritter. “Because it's just Java code you can combine JavaFX with any other Java library to provide data to display and control the interface. What I've done for my session is look at some of the possible ways of doing this using some of the amazing hardware that's available today at very low cost. The Kinect sensor has added a new dimension to gaming in terms of interaction; there's a Java API to access this so you can easily collect skeleton tracking data from it. Some clever people have also written libraries that can track gestures like swipes, circles, pushes, and so on. We use these to control parts of the UI. I've also experimented with a Neurosky EEG sensor that can in some ways ‘read your mind’ (well, at least measure some of the brain functions like attention and meditation).  I've written a Java library for this that I include as a way of controlling the UI. We're not quite at the stage of just thinking a command though!” Here Comes Java EmbeddedAnd what, from Ritter’s perspective, is the most exciting thing happening in the world of Java today? “I think it's seeing just how Java continues to become more and more pervasive,” he said. “One of the areas that is growing rapidly is embedded systems.  We've talked about the ‘Internet of things’ for many years; now it's finally becoming a reality. With the ability of more and more devices to include processing, storage and networking we need an easy way to write code for them that's reliable, has high performance, and is secure. Java fits all these requirements. With Java Embedded being a conference within a conference, I'm very excited about the possibilities of Java in this space.”Check out Ritter’s sessions or say hi if you run into him. Originally published on blogs.oracle.com/javaone.

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  • Talking JavaOne with Rock Star Simon Ritter

    - by Janice J. Heiss
    Oracle’s Java Technology Evangelist Simon Ritter is well known at JavaOne for his quirky and fun-loving sessions, which, this year include: CON4644 -- “JavaFX Extreme GUI Makeover” (with Angela Caicedo on how to improve UIs in JavaFX) CON5352 -- “Building JavaFX Interfaces for the Real World” (Kinect gesture tracking and mind reading) CON5348 -- “Do You Like Coffee with Your Dessert?” (Some cool demos of Java of the Raspberry Pi) CON6375 -- “Custom JavaFX Charts: (How to extend JavaFX Chart controls with some interesting things) I recently asked Ritter about the significance of the Raspberry Pi, the topic of one of his sessions that consists of a credit card-sized single-board computer developed in the UK with the intention of stimulating the teaching of basic computer science in schools. “I don't think there's one definitive thing that makes the RP significant,” observed Ritter, “but a combination of things that really makes it stand out. First, it's the cost: $35 for what is effectively a completely usable computer. OK, so you have to add a power supply, SD card for storage and maybe a screen, keyboard and mouse, but this is still way cheaper than a typical PC. The choice of an ARM processor is also significant, as it avoids problems like cooling (no heat sink or fan) and can use a USB power brick.  Combine these two things with the immense groundswell of community support and it provides a fantastic platform for teaching young and old alike about computing, which is the real goal of the project.”He informed me that he’ll be at the Raspberry Pi meetup on Saturday (not part of JavaOne). Check out the details here.JavaFX InterfacesWhen I asked about how JavaFX can interface with the real world, he said that there are many ways. “JavaFX provides you with a simple set of programming interfaces that can create complex, cool and compelling user interfaces,” explained Ritter. “Because it's just Java code you can combine JavaFX with any other Java library to provide data to display and control the interface. What I've done for my session is look at some of the possible ways of doing this using some of the amazing hardware that's available today at very low cost. The Kinect sensor has added a new dimension to gaming in terms of interaction; there's a Java API to access this so you can easily collect skeleton tracking data from it. Some clever people have also written libraries that can track gestures like swipes, circles, pushes, and so on. We use these to control parts of the UI. I've also experimented with a Neurosky EEG sensor that can in some ways ‘read your mind’ (well, at least measure some of the brain functions like attention and meditation).  I've written a Java library for this that I include as a way of controlling the UI. We're not quite at the stage of just thinking a command though!” Here Comes Java EmbeddedAnd what, from Ritter’s perspective, is the most exciting thing happening in the world of Java today? “I think it's seeing just how Java continues to become more and more pervasive,” he said. “One of the areas that is growing rapidly is embedded systems.  We've talked about the ‘Internet of things’ for many years; now it's finally becoming a reality. With the ability of more and more devices to include processing, storage and networking we need an easy way to write code for them that's reliable, has high performance, and is secure. Java fits all these requirements. With Java Embedded being a conference within a conference, I'm very excited about the possibilities of Java in this space.”Check out Ritter’s sessions or say hi if you run into him.

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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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  • WebCenter Customer Spotlight: Texas Industries, Inc.

    - by me
    Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter  Solution SummaryTexas Industries, Inc. (TXI) is a leading supplier of cement, aggregate, and consumer product building materials for residential, commercial, and public works projects. TXI is based in Dallas and employs around 2,000 employees. The customer had the challenge of decentralized and manual processes for entering 180,000 vendor invoices annually.  Invoice entry was a time- and resource-intensive process that entailed significant personnel requirements. TXI implemented a centralized solution leveraging Oracle WebCenter Imaging, a smart routing solution that enables users to capture invoices electronically with Oracle WebCenter Capture and Oracle WebCenter Forms Recognition to send  the invoices through to Oracle Financials for approvals and processing.  TXI significantly lowered resource needs for payable processing,  increase productivity by 80% and reduce invoice processing cycle times by 84%—from 20 to 30 days to just 3 to 5 days, on average. Company OverviewTexas Industries, Inc. (TXI) is a leading supplier of cement, aggregate, and consumer product building materials for residential, commercial, and public works projects. With operating subsidiaries in six states, TXI is the largest producer of cement in Texas and a major producer in California. TXI is a major supplier of stone, sand, gravel, and expanded shale and clay products, and one of the largest producers of bagged cement and concrete  products in the Southwest. Business ChallengesTXI had the challenge of decentralized and manual processes for entering 180,000 vendor invoices annually.  Invoice entry was a time- and resource-intensive process that entailed significant personnel requirements. Their business objectives were: Increase the efficiency of core business processes, such as invoice processing, to support the organization’s desire to maintain its role as the Southwest’s leader in delivering high-quality, low-cost products to the construction industry Meet the audit and regulatory requirements for achieving Sarbanes-Oxley (SOX) compliance Streamline entry of 180,000 invoices annually to accelerate processing, reduce errors, cut invoice storage and routing costs, and increase visibility into payables liabilities Solution DeployedTXI replaced a resource-intensive, paper-based, decentralized process for invoice entry with a centralized solution leveraging Oracle WebCenter Imaging 11g. They worked with the Oracle Partner Keste LLC to develop a smart routing solution that enables users to capture invoices electronically with Oracle WebCenter Capture and then uses Oracle WebCenter Forms Recognition and the Oracle WebCenter Imaging workflow to send the invoices through to Oracle Financials for approvals and processing. Business Results Significantly lowered resource needs for payable processing through centralization and improved efficiency  Enabled the company to process invoices faster and pay bills earlier, allowing it to take advantage of additional vendor discounts Tracked to increase productivity by 80% and reduce invoice processing cycle times by 84%—from 20 to 30 days to just 3 to 5 days, on average Achieved a 25% reduction in paper invoice storage costs now that invoices are captured digitally, and enabled a 50% reduction in shipping costs, as the company no longer has to send paper invoices between headquarters and production facilities for approvals “Entering and manually processing more than 180,000 vendor invoices annually was time and labor intensive. With Oracle Imaging and Process Management, we have automated and centralized invoice entry and processing at our corporate office, improving productivity by 80% and reducing invoice processing cycle times by 84%—a very important efficiency gain.” Terry Marshall, Vice President of Information Services, Texas Industries, Inc. Additional Information TXI Customer Snapshot Oracle WebCenter Content Oracle WebCenter Capture Oracle WebCenter Forms Recognition

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  • Oracle and Partners release CAMP specification for PaaS Management

    - by macoracle
    Cloud Application Management for Platforms The public release of the Cloud Application Management for Platforms (CAMP) specification, an initial draft of what is expected to become an industry standard self service interface specification for Platform as a Service (PaaS) management, represents a significant milestone in cloud standards development. Created by several players in the emerging cloud industry, including Oracle, the specification is being submitted to the OASIS standards organization (draft charter) where it will be finalized in an open development process. CAMP is targeted at application developers and deployers for self service management of their application on a Platform-as-a-Service cloud. It is closely aligned with the application development process where applications are typically developed in an Application Development Environment (ADE) and then deployed into a private or public platform cloud. CAMP standardizes the model behind an application’s dependencies on platform components and provides a standardized format for moving applications between the ADE and the cloud, and if and when desirable, between clouds. Once an application is deployed, CAMP provides users with a standardized self service interface to the PaaS offering, allowing the cloud consumer to manage the lifecycle of the application on that platform and the use of the underlying platform services. The CAMP interface includes a RESTful binding of the CAMP model onto the standard HTTP protocol, using JSON as the encoding for the model resources. The model for CAMP includes resources that represent the Application, its Components and any Platform Components that they depend on. It's important PaaS Cloud consumers understand that for a PaaS cloud, these are the abstractions that the user would prefer to work with, not Virtual Machines and the various resources such as compute power, storage and networking. PaaS cloud consumers would also not like to become system administrators for the infrastructure that is hosting their applications and component services. CAMP works on this more abstract level, and yet still accommodates platforms that are built using an underlying infrastructure cloud. With CAMP, it is up to the cloud provider whether or not this underlying infrastructure is exposed to the consumer. One major challenge addressed by the CAMP specification is that of ensuring that application deployment on a new platform is as seamless and error free as possible. This becomes even more difficult when the application may have been developed for a different platform and is now moving to a new one. In CAMP this is accomplished by matching the requirements of the application and its components to the specific capabilities of the underlying platform. This needs to be done regardless of whether there are existing pools of virtualized platform resources (such as a database pool) which are provisioned(on the basis of a schema for example), or whether the platform component is really just a set of virtual machines drawn from an infrastructure pool. The interoperability between platform clouds that CAMP offers means that a CAMP client such as an ADE can target multiple clouds with a single common interface. Applications can even be spread across multiple platform clouds and then managed without needing to create a specialized adapter to manage the components running in each cloud. The development of CAMP has been an effort by a small set of companies, but there are significant advantages to this approach. For example, the way that each of these companies creates their platforms is different enough, to ensure that CAMP can cover a wide range of actual deployments. CAMP is now entering the next phase of development under the guidance of an open standards organization, OASIS, which will likely broaden it’s capabilities. We hope is to keep it concise and minimal, however, to ease implementation and adoption. Over time there will be many different types of platform components that applications can use and which need management. CAMP at this point only includes one example of this (in an appendix) – DataBase as a Service. I am looking forward to the start of the CAMP Technical Committee in OASIS and will do my best to ensure a successful development process. Hope to see you there.

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  • Oracle OpenWorld Update: Oracle GoldenGate Customer Panels

    - by Doug Reid
    0 false 18 pt 18 pt 0 0 false false false /* 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-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} We are two weeks out from the start of Oracle OpenWorld 2012. The Data Integration team has a solid line-up of product and customer sessions for you to attend this year, plus five hands-on labs, and numerous demonstration pods in Moscone South. On Monday we kick the track off with Brad Adelberg’s Future Strategy, Direction and Roadmap for Oracle’s Data Integration Platform at 10:45AM in Moscone West 3005. Over the rest of the week we have a number of deep dive sessions that build out the themes that Brad discusses in his keynote, but the two that I would like to highlight today are our Oracle GoldenGate customer panels. The first customer panel is on Zero Downtime Operations and is on Monday at 1:45 in Moscone West 3005. The theme of this session is how to reduce downtime for critical must-succeed systems. Here’s a rundown of the session: Bank of America, TALX, and St. Jude Medical all have users communities that expect systems to be available around the clock. In this customer panel session, Bank of America discusses how it will be leveraging Oracle GoldenGate. St. Jude Medical shares how it is using Oracle GoldenGate to achieve a zero-downtime migration for a 5 TB Oracle online transaction processing (OLTP) 24/7 mission-critical database. TALX discusses how Equifax Workforce Information Services used Oracle GoldenGate to move from processing online transactions in a single site to processing concurrently from two geographically disparate data centers, providing a highly available solution with significant burst capacity. On Tuesday at 11:45 in Moscone West 3005 we switch gears and host a customer panel on Operational Reporting. The theme of this customer panel is all around reporting and how Oracle GoldenGate raises the bar on reporting by enabling real-time access to real-time data. Here’s a rundown of the session: Turk Telekom and Comcast are half a world away from each other, but these two powerhouse companies have both drastically improved performance and access to real-time data by using Oracle GoldenGate. During this panel discussion, Turk Telekom will explain its evaluation and implementation of Oracle GoldenGate, how the business has experienced significant improvements in the core database and reporting platform, and how it plans to expand its usage into its SOA architecture and its architecture based on Oracle’s Siebel platform. Comcast will explain its implementation of Oracle GoldenGate and how it moves data in real time from its mission-critical HP NonStop database to a Teradata data warehouse. Join us at our sessions to learn what other customers are doing with our products or stop by our demo pods in Moscone south and meet the product management and development teams.

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  • What's New in Oracle's EPM System?

    - by jmorourke
    Oracle’s EPM System R11.1.2.2  is now generally available to customers and partners on the download center.  Although the release number doesn’t sound significant, this is a major release of Oracle’s Hyperion EPM Suite with new modules as well as significant enhancements across the suite.  This release was announced back on April 4th as part of Oracle’s Business Analytics Strategy launch, so analytics is a key aspect of the release.  But the three biggest pieces of news in this release are Oracle Hyperion Planning support for the Exalytics In-Memory Machine, the new Project Financial Planning Application and the new Account Reconciliations Manager module. The Oracle Exalytics In-Memory Machine was announced back in October 2011, at Oracle OpenWorld.  It’s the latest installment from Oracle in a line of engineered systems that combine Oracle Sun hardware, with Oracle database and application technologies – in solutions that are designed to provide high scalability and performance for specific tasks.  Exalytics is the first engineered system specifically designed for high performance analytics.  Running in-memory versions of Oracle Essbase, as well as the Oracle TimesTen database and Oracle BI tools, Exalytics provides speed of thought response times for complex analytic processes with advanced visualizations.  Early adopter customers have achieved 5X to 100X faster interactivity and 6X to 10X faster planning cycles.  Hyperion Planning running with Oracle Exalytics will support enterprise-wide planning, budgeting and forecasting with more detailed data, with hundreds to thousands of users across an organization getting speed of thought performance. The new Hyperion Project Financial Planning application delivered with EPM 11.1.2.2 is also great news for Oracle customers.  This application follows on the heels of other special-purpose planning applications that Oracle has delivered for Workforce and Capital Asset planning.  It allows Project Managers to identify project-related expenses and revenues, plan and propose new projects, and track results over time. Finance Managers can evaluate and compare different projects, manage the funding process, monitor and report the actual financial results and impacts of projects and project portfolios. This new application is applicable to capital projects, contract projects and indirect projects like IT and HR projects across all industries.  This application is a great complement to existing Project Management applications, and helps bridge the gap between these applications, and the financial planning and budgeting process. Account reconciliations has to be one of the biggest bottlenecks and risks in the financial close and reporting process, and many organizations rely on spreadsheets and manual processes to perform this critical process.  To help address this problem, Oracle developed an Account Reconciliation Manager module that is being delivered as part of Oracle Hyperion Financial Close Management.   This module helps automate and streamline account reconciliations and eliminates the chances for errors, omissions and fraud.  But unlike standalone account reconciliation packages, it’s integrated with the rest of the Oracle Hyperion Financial Close suite, and can integrate balances from any source system.  This can help alleviate a major bottleneck in the financial close process, increase accuracy and reduce risk, and can complement existing investments in Hyperion Financial Management, as well as Oracle and non-Oracle transaction processing systems. Other enhancements in this release include an enhanced Web 2.0 interface for Hyperion Planning and Hyperion Financial Management (HFM), configurable dimensionality in HFM, new Predictive Planning feature in Hyperion Planning, new Detailed Profitability feature in Hyperion Profitability and Cost Management, new Smart View interface for Hyperion Strategic Finance, and integration of the Hyperion applications with JD Edwards Financials. For more information about Oracle EPM System R11.1.2.2 check out the links below: Press Release:  http://www.oracle.com/us/corporate/press/1575775 Product Information on O.com:  http://www.oracle.com/us/solutions/business-analytics/overview/index.html Product Information on OTN:  http://www.oracle.com/technetwork/middleware/epm/downloads/index.html Webcast Replay:  http://www.oracle.com/us/go/index.html?Src=7317510&Act=65&pcode=WWMK11054701MPP046 Please contact me if you have any questions or need additional information – [email protected]

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  • SQL SERVER – Partition Parallelism Support in expressor 3.6

    - by pinaldave
    I am very excited to learn that there is a new version of expressor’s data integration platform coming out in March of this year.  It will be version 3.6, and I look forward to using it and telling everyone about it.  Let me describe a little bit more about what will be so great in expressor 3.6: Greatly enhanced user interface Parallel Processing Bulk Artifact Upgrading The User Interface First let me cover the most obvious enhancements. The expressor Studio user interface (UI) has had some significant work done. Kudos to the expressor Engineering team; the entire UI is a visual masterpiece that is very responsive and intuitive. The improvements are more than just eye candy; they provide significant productivity gains when developing expressor Dataflows. Operator shape icons now include a description that identifies the function of each operator, instead of having to guess at the function by the icon. Operator shapes and highlighting depict the current function and status: Disabled, enabled, complete, incomplete, and error. Each status displays an appropriate message in the message panel with correction suggestions. Floating or docking property panels provide descriptive tool tips for each property as well as auto resize when adjusting the canvas, without having to search Help or the need to scroll around to get access to the property. Progress and status indicators let you know when an operation is working. “No limit” canvas with snap-to-grid allows automatic sizing and accurate positioning when you have numerous operators in the Dataflow. The inline tool bar offers quick access to pan, zoom, fit and overview functions. Selecting multiple artifacts with a right click context allows you to easily manage your workspace more efficiently. Partitioning and Parallel Processing Partitioning allows each operator to process multiple subsets of records in parallel as opposed to processing all records that flow through that operator in a single sequential set. This capability allows the user to configure the expressor Dataflow to run in a way that most efficiently utilizes the resources of the hardware where the Dataflow is running. Partitions can exist in most individual operators. Using partitions increases the speed of an expressor data integration application, therefore improving performance and load times. With the expressor 3.6 Enterprise Edition, expressor simplifies enabling parallel processing by adding intuitive partition settings that are easy to configure. Bulk Artifact Upgrading Bulk Artifact Upgrading sounds a bit intimidating, but it actually is not and it is a welcome addition to expressor Studio. In past releases, users were prompted to confirm that they wanted to upgrade their individual artifacts only when opened. This was a cumbersome and repetitive process. Now with bulk artifact upgrading, a user can easily select what artifact or group of artifacts to upgrade all at once. As you can see, there are many new features and upgrade options that will prove to make expressor Studio quicker and more efficient.  I hope I’m not the only one who is excited about all these new upgrades, and that I you try expressor and share your experience with me. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • Recent improvements in Console Performance

    - by loren.konkus
    Recently, the WebLogic Server development and support organizations have worked with a number of customers to quantify and improve the performance of the Administration Console in large, distributed configurations where there is significant latency in the communications between the administration server and managed servers. These improvements fall into two categories: Constraining the amount of time that the Console stalls waiting for communication Reducing and streamlining the amount of data required for an update A few releases ago, we added support for a configurable domain-wide mbean "Invocation Timeout" value on the Console's configuration: general, advanced section for a domain. The default value for this setting is 0, which means wait indefinitely and was chosen for compatibility with the behavior of previous releases. This configuration setting applies to all mbean communications between the admin server and managed servers, and is the first line of defense against being blocked by a stalled or completely overloaded managed server. Each site should choose an appropriate timeout value for their environment and network latency. In the next release of WebLogic Server, we've added an additional console preference, "Management Operation Timeout", to the Console's shared preference page. This setting further constrains how long certain console pages will wait for slowly responding servers before returning partial results. While not all Console pages support this yet, key pages such as the Servers Configuration and Control table pages and the Deployments Control pages have been updated to support this. For example, if a user requests a Servers Table page and a Management Operation Timeout occurs, the table is displayed with both local configuration and remote runtime information from the responding managed servers and only local configuration information for servers that did not yet respond. This means that a troublesome managed server does not impede your ability to manage your domain using the Console. To support these changes, these Console pages have been re-written to use the Work Management feature of WebLogic Server to interact with each server or deployment concurrently, which further improves the responsiveness of these pages. The basic algorithm for these pages is: For each configuration mbean (ie, Servers) populate rows with configuration attributes from the fast, local mbean server Find a WorkManager For each server, Create a Work instance to obtain runtime mbean attributes for the server Schedule Work instance in the WorkManager Call WorkManager.waitForAll to wait WorkItems to finish, constrained by Management Operation Timeout For each WorkItem, if the runtime information obtained was not complete, add a message indicating which server has incomplete data Display collected data in table In addition to these changes to constrain how long the console waits for communication, a number of other changes have been made to reduce the amount and scope of managed server interactions for key pages. For example, in previous releases the Deployments Control table looked at the status of a deployment on every managed server, even those servers that the deployment was not currently targeted on. (This was done to handle an edge case where a deployment's target configuration was changed while it remained running on previously targeted servers.) We decided supporting that edge case did not warrant the performance impact for all, and instead only look at the status of a deployment on the servers it is targeted to. Comprehensive status continues to be available if a user clicks on the 'status' field for a deployment. Finally, changes have been made to the System Status portlet to reduce its impact on Console page display times. Obtaining health information for this display requires several mbean interactions with managed servers. In previous releases, this mbean interaction occurred with every display, and any delay or impediment in these interactions was reflected in the display time for every page. To reduce this impact, we've made several changes in this portlet: Using Work Management to obtain health concurrently Applying the operation timeout configuration to constrain how long we will wait Caching health information to reduce the cost during rapid navigation from page to page and only obtaining new health information if the previous information is over 30 seconds old. Eliminating heath collection if this portlet is minimized. Together, these Console changes have resulted in significant performance improvements for the customers with large configurations and high latency that we have worked with during their development, and some lesser performance improvements for those with small configurations and very fast networks. These changes will be included in the 11g Rel 1 patch set 2 (10.3.3.0) release of WebLogic Server.

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  • Drinking Our Own Champagne: Fusion Accounting Hub at Oracle

    - by Di Seghposs
    A guest post by Corey West, Senior Vice President, Oracle's Corporate Controller and Chief Accounting Officer There's no better story to tell than one about Oracle using its own products with blowout success. Here's how this one goes. As you know, Oracle has increased its share of the software market through a number of high-profile acquisitions. Legally combining companies is a very complicated process -- it can take months to complete, especially for the acquisitions with offices in several countries, each with its own unique laws and regulations. It's a mission critical and time sensitive process to roll an acquired company's legacy systems (running vital operations, such as accounts receivable and general ledger (GL)) into the existing systems at Oracle. To date, we've run our primary financial ledgers in E-Business Suite R12 -- and we've successfully met the requirements of the business and closed the books on time every single quarter. But there's always room for improvement and that comes in the form of Fusion Applications. We are now live on Fusion Accounting Hub (FAH), which is the first critical step in moving to a full Fusion Financials instance. We started with FAH so that we could design a global chart of accounts. Eventually, every transaction in every country will originate from this global chart of accounts -- it becomes the structure for managing our business more uniformly. In conjunction, we're using Oracle Hyperion Data Relationship Management (DRM) to centralize and automate governance of our global chart of accounts and related hierarchies, which will help us lower our costs and greatly reduce risk. Each month, we have to consolidate data from our primary general ledgers. We have been able to simplify this process considerably using FAH. We can now submit our primary ledgers running in E-Business Suite (EBS) R12 directly to FAH, eliminating the need for more than 90 redundant consolidation ledgers. Also we can submit incrementally, so if we need to book an adjustment in a primary ledger after close, we can do so without re-opening it and re-submitting. As a result, we have earlier visibility to period-end actuals during the close. A goal of this implementation, and one that we successfully achieved, is that we are able to use FAH globally with no customization. This means we have the ability to fully deploy ledger sets at the consolidation level, plus we can use standard functionality for currency translation and mass allocations. We're able to use account monitoring and drill down functionality from the consolidation level all the way through to EBS primary ledgers and sub-ledgers, which allows someone to click through a transaction appearing at the consolidation level clear through to its original source, a significant productivity enhancement when doing research. We also see a significant improvement in reporting using Essbase cube and Hyperion Smart View. Specifically, "the addition of an Essbase cube on top of the GL gives us tremendous versatility to automate and speed our elimination process," says Claire Sebti, Senior Director of Corporate Accounting at Oracle. A highlight of this story is that FAH is running in a co-existence environment. Our plan is to move to Fusion Financials in steps, starting with FAH. Next, our Oracle Financial Services Software subsidiary will move to a full Fusion Financials instance. Then we'll replace our EBS instance with Fusion Financials. This approach allows us to plan in steps, learn as we go, and not overwhelm our teams. It also reduces the risk that comes with moving the entire instance at once. Maria Smith, Vice President of Global Controller Operations, is confident about how they've positioned themselves to uptake more Fusion functionality and is eager to "continue to drive additional efficiency and cost savings." In this story, the happy customers are Oracle controllers, financial analysts, accounting specialists, and our management team that get earlier access to more flexible reporting. "Fusion Accounting Hub simplifies our processes and gives us more transparency into account activity," raves Alex SanJuan, Senior Director, Record to Report Strategic Process Owner. Overall, the team has been very impressed with the usability and functionality of FAH and are pleased with the quantifiable improvements. Claire Sebti states, "Our WD5 close activities have been reduced by at least four hours of system processing time, just for the consolidation group." Fusion Accounting Hub is an inspiring beginning to our Fusion Financials implementation story. There's no doubt it's going to be an international bestseller! Corey West, Senior Vice President Oracle's Corporate Controller and Chief Accounting Officer

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  • Create a Remote Git Repository from an Existing XCode Repository

    - by codeWithoutFear
    Introduction Distributed version control systems (VCS’s), like Git, provide a rich set of features for managing source code.  Many development tools, including XCode, provide built-in support for various VCS’s.  These tools provide simple configuration with limited customization to get you up and running quickly while still providing the safety net of basic version control. I hate losing (and re-doing) work.  I have OCD when it comes to saving and versioning source code.  Save early, save often, and commit to the VCS often.  I also hate merging code.  Smaller and more frequent commits enable me to minimize merge time and effort as well. The work flow I prefer even for personal exploratory projects is: Make small local changes to the codebase to create an incrementally improved (and working) system. Commit these changes to the local repository.  Local repositories are quick to access, function even while offline, and provides the confidence to continue making bold changes to the system.  After all, I can easily recover to a recent working state. Repeat 1 & 2 until the codebase contains “significant” functionality and I have connectivity to the remote repository. Push the accumulated changes to the remote repository.  The smaller the change set, the less likely extensive merging will be required.  Smaller is better, IMHO. The remote repository typically has a greater degree of fault tolerance and active management dedicated to it.  This can be as simple as a network share that is backed up nightly or as complex as dedicated hardware with specialized server-side processing and significant administrative monitoring. XCode’s out-of-the-box Git integration enables steps 1 and 2 above.  Time Machine backups of the local repository add an additional degree of fault tolerance, but do not support collaboration or take advantage of managed infrastructure such as on-premises or cloud-based storage. Creating a Remote Repository These are the steps I use to enable the full workflow identified above.  For simplicity the “remote” repository is created on the local file system.  This location could easily be on a mounted network volume. Create a Test Project My project is called HelloGit and is located at /Users/Don/Dev/HelloGit.  Be sure to commit all outstanding changes.  XCode always leaves a single changed file for me after the project is created and the initial commit is submitted. Clone the Local Repository We want to clone the XCode-created Git repository to the location where the remote repository will reside.  In this case it will be /Users/Don/Dev/RemoteHelloGit. Open the Terminal application. Clone the local repository to the remote repository location: git clone /Users/Don/Dev/HelloGit /Users/Don/Dev/RemoteHelloGit Convert the Remote Repository to a Bare Repository The remote repository only needs to contain the Git database.  It does not need a checked out branch or local files. Go to the remote repository folder: cd /Users/Don/Dev/RemoteHelloGit Indicate the repository is “bare”: git config --bool core.bare true Remove files, leaving the .git folder: rm -R * Remove the “origin” remote: git remote rm origin Configure the Local Repository The local repository should reference the remote repository.  The remote name “origin” is used by convention to indicate the originating repository.  This is set automatically when a repository is cloned.  We will use the “origin” name here to reflect that relationship. Go to the local repository folder: cd /Users/Don/Dev/HelloGit Add the remote: git remote add origin /Users/Don/Dev/RemoteHelloGit Test Connectivity Any changes made to the local Git repository can be pushed to the remote repository subject to the merging rules Git enforces. Create a new local file: date > date.txt /li> Add the new file to the local index: git add date.txt Commit the change to the local repository: git commit -m "New file: date.txt" Push the change to the remote repository: git push origin master Now you can save, commit, and push/pull to your OCD hearts’ content! Code without fear! --Don

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  • Columnstore Case Study #1: MSIT SONAR Aggregations

    - by aspiringgeek
    Preamble This is the first in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in this deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. Why Columnstore? If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. App: MSIT SONAR Aggregations At MSIT, performance & configuration data is captured by SCOM. We archive much of the data in a partitioned data warehouse table in SQL Server 2012 for reporting via an application called SONAR.  By definition, this is a primary use case for columnstore—report queries requiring aggregation over large numbers of rows.  New data is refreshed each night by an automated table partitioning mechanism—a best practices scenario for columnstore. The Win Compared to performance using classic indexing which resulted in the expected query plan selection including partition elimination vs. SQL Server 2012 nonclustered columnstore, query performance increased significantly.  Logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Other than creating the columnstore index, no special modifications or tweaks to the app or databases schema were necessary to achieve the performance improvements.  Existing nonclustered indexes were rendered superfluous & were deleted, thus mitigating maintenance challenges such as defragging as well as conserving disk capacity. Details The table provides the raw data & summarizes the performance deltas. Logical Reads (8K pages) CPU (ms) Durn (ms) Columnstore 160,323 20,360 9,786 Conventional Table & Indexes 9,053,423 549,608 193,903 ? x56 x27 x20 The charts provide additional perspective of this data.  "Conventional vs. Columnstore Metrics" document the raw data.  Note on this linear display the magnitude of the conventional index performance vs. columnstore.  The “Metrics (?)” chart expresses these values as a ratio. Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the first in a series of reports on columnstore implementations, results from an initial implementation at MSIT in which logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Subsequent features in this series document performance enhancements that are even more significant

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  • Columnstore Case Study #1: MSIT SONAR Aggregations

    - by aspiringgeek
    Preamble This is the first in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in this deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. Why Columnstore? If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. App: MSIT SONAR Aggregations At MSIT, performance & configuration data is captured by SCOM. We archive much of the data in a partitioned data warehouse table in SQL Server 2012 for reporting via an application called SONAR.  By definition, this is a primary use case for columnstore—report queries requiring aggregation over large numbers of rows.  New data is refreshed each night by an automated table partitioning mechanism—a best practices scenario for columnstore. The Win Compared to performance using classic indexing which resulted in the expected query plan selection including partition elimination vs. SQL Server 2012 nonclustered columnstore, query performance increased significantly.  Logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Other than creating the columnstore index, no special modifications or tweaks to the app or databases schema were necessary to achieve the performance improvements.  Existing nonclustered indexes were rendered superfluous & were deleted, thus mitigating maintenance challenges such as defragging as well as conserving disk capacity. Details The table provides the raw data & summarizes the performance deltas. Logical Reads (8K pages) CPU (ms) Durn (ms) Columnstore 160,323 20,360 9,786 Conventional Table & Indexes 9,053,423 549,608 193,903 ? x56 x27 x20 The charts provide additional perspective of this data.  "Conventional vs. Columnstore Metrics" document the raw data.  Note on this linear display the magnitude of the conventional index performance vs. columnstore.  The “Metrics (?)” chart expresses these values as a ratio. Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the first in a series of reports on columnstore implementations, results from an initial implementation at MSIT in which logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Subsequent features in this series document performance enhancements that are even more significant

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  • Comparing Apples and Pairs

    - by Tony Davis
    A recent study, High Costs and Negative Value of Pair Programming, by Capers Jones, pulls no punches in its assessment of the costs-to- benefits ratio of pair programming, two programmers working together, at a single computer, rather than separately. He implies that pair programming is a method rushed into production on a wave of enthusiasm for Agile or Extreme Programming, without any real regard for its effectiveness. Despite admitting that his data represented a far from complete study of the economics of pair programming, his conclusions were stark: it was 2.5 times more expensive, resulted in a 15% drop in productivity, and offered no significant quality benefits. The author provides a more scientific analysis than Jon Evans’ Pair Programming Considered Harmful, but the theme is the same. In terms of upfront-coding costs, pair programming is surely more expensive. The claim of productivity loss is dubious and contested by other studies. The third claim, though, did surprise me. The author’s data suggests that if both the pair and the individual programmers employ static code analysis and testing, then there is no measurable difference in the resulting code quality, in terms of defects per function point. In other words, pair programming incurs a massive extra cost for no tangible return in investment. There were, inevitably, many criticisms of his data and his conclusions, a few of which are persuasive. Firstly, that the driver/observer model of pair programming, on which the study bases its findings, is far from the most effective. For example, many find Ping-Pong pairing, based on use of test-driven development, far more productive. Secondly, that it doesn’t distinguish between “expert” and “novice” pair programmers– that is, independently of other programming skills, how skilled was an individual at pair programming. Thirdly, that his measure of quality is too narrow. This point rings true, certainly at Red Gate, where developers don’t pair program all the time, but use the method in short bursts, while tackling a tricky problem and needing a fresh perspective on the best approach, or more in-depth knowledge in a particular domain. All of them argue that pair programming, and collective code ownership, offers significant rewards, if not in terms of immediate “bug reduction”, then in removing the likelihood of single points of failure, and improving the overall quality and longer-term adaptability/maintainability of the design. There is also a massive learning benefit for both participants. One developer told me how he once worked in the same team over consecutive summers, the first time with no pair programming and the second time pair-programming two-thirds of the time, and described the increased rate of learning the second time as “phenomenal”. There are a great many theories on how we should develop software (Scrum, XP, Lean, etc.), but woefully little scientific research in their effectiveness. For a group that spends so much time crunching other people’s data, I wonder if developers spend enough time crunching data about themselves. Capers Jones’ data may be incomplete, but should cause a pause for thought, especially for any large IT departments, supporting commerce and industry, who are considering pair programming. It certainly shouldn’t discourage teams from exploring new ways of developing software, as long as they also think about how to gather hard data to gauge their effectiveness.

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  • Using WKA in Large Coherence Clusters (Disabling Multicast)

    - by jpurdy
    Disabling hardware multicast (by configuring well-known addresses aka WKA) will place significant stress on the network. For messages that must be sent to multiple servers, rather than having a server send a single packet to the switch and having the switch broadcast that packet to the rest of the cluster, the server must send a packet to each of the other servers. While hardware varies significantly, consider that a server with a single gigabit connection can send at most ~70,000 packets per second. To continue with some concrete numbers, in a cluster with 500 members, that means that each server can send at most 140 cluster-wide messages per second. And if there are 10 cluster members on each physical machine, that number shrinks to 14 cluster-wide messages per second (or with only mild hyperbole, roughly zero). It is also important to keep in mind that network I/O is not only expensive in terms of the network itself, but also the consumption of CPU required to send (or receive) a message (due to things like copying the packet bytes, processing a interrupt, etc). Fortunately, Coherence is designed to rely primarily on point-to-point messages, but there are some features that are inherently one-to-many: Announcing the arrival or departure of a member Updating partition assignment maps across the cluster Creating or destroying a NamedCache Invalidating a cache entry from a large number of client-side near caches Distributing a filter-based request across the full set of cache servers (e.g. queries, aggregators and entry processors) Invoking clear() on a NamedCache The first few of these are operations that are primarily routed through a single senior member, and also occur infrequently, so they usually are not a primary consideration. There are cases, however, where the load from introducing new members can be substantial (to the point of destabilizing the cluster). Consider the case where cluster in the first paragraph grows from 500 members to 1000 members (holding the number of physical machines constant). During this period, there will be 500 new member introductions, each of which may consist of several cluster-wide operations (for the cluster membership itself as well as the partitioned cache services, replicated cache services, invocation services, management services, etc). Note that all of these introductions will route through that one senior member, which is sharing its network bandwidth with several other members (which will be communicating to a lesser degree with other members throughout this process). While each service may have a distinct senior member, there's a good chance during initial startup that a single member will be the senior for all services (if those services start on the senior before the second member joins the cluster). It's obvious that this could cause CPU and/or network starvation. In the current release of Coherence (3.7.1.3 as of this writing), the pure unicast code path also has less sophisticated flow-control for cluster-wide messages (compared to the multicast-enabled code path), which may also result in significant heap consumption on the senior member's JVM (from the message backlog). This is almost never a problem in practice, but with sufficient CPU or network starvation, it could become critical. For the non-operational concerns (near caches, queries, etc), the application itself will determine how much load is placed on the cluster. Applications intended for deployment in a pure unicast environment should be careful to avoid excessive dependence on these features. Even in an environment with multicast support, these operations may scale poorly since even with a constant request rate, the underlying workload will increase at roughly the same rate as the underlying resources are added. Unless there is an infrastructural requirement to the contrary, multicast should be enabled. If it can't be enabled, care should be taken to ensure the added overhead doesn't lead to performance or stability issues. This is particularly crucial in large clusters.

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  • Challenges in Corporate Reporting - New Independent Research

    - by ndwyouell
    Earlier this year, Oracle and Accenture sponsored a global study on trends in financial close and reporting. We surveyed 1,123 finance professionals in large organizations in 12 countries around the world during February and March. Financial Consolidation and Reporting is the most mature aspect of Enterprise Performance Management with mainstream solutions having been around for over 30 years. But of course over this time there have been many changes and very significant increases in regulation. So just what is the current state is Financial Consolidation and Reporting in our major corporations across the world? We commissioned this independent research to find out. Highlights of the result are: •          Seeking change: Businesses recognize they need to invest in financial reporting to address the challenges they currently face. 47 percent of companies have made substantial investments over the last year to the financial close, filing, and reporting processes. •          Ineffective investments: Despite these investments, spreadsheets (72 percent) and e-mails (68 percent) are still being used daily to track and manage reporting, suggesting that new investments are falling short of expectations. •          Increased costs and uncertainty: The situation is so opaque that managers across the finance function are unable to fully understand the financial impact or cost implications of reporting, with 60 percent of respondents admitting they did not know the total cost of managing and publicizing their financial results. •          Persistent challenges: 68 percent of respondents admitted that they have inadequate visibility into reporting processes, while 84 percent of finance managers surveyed said they find it difficult to control the quality of financial data across the entire reporting process. •          Decreased effectiveness: 71 percent of finance managers feel their effectiveness is limited in some way by data-analysis–related issues, while 39 percent of C-level or VP-level respondents say their effectiveness is impaired by limited visibility. •          Missed deadlines: Due to late changes to the chart of accounts, 15 percent of global businesses have missed statutory filings, putting their companies at risk of financial penalties and potentially impacting share value. The report makes it clear that investments made to date by these large organizations around the world have been uneven across the close, reporting, and filing processes, which has led to the challenges these organizations currently face in the overall process. Regardless of whether companies are using a variety of solutions or a single solution, the report shows they continue to witness increased costs, ineffectual data management, and missed reporting, which—in extreme circumstances—can impact a company’s corporate image and share value. The good news is that businesses realize that these problems persist and 86 percent of companies are likely to make a significant investment during the next five years to address these issues. While they should invest, it is critical that they direct investments correctly to address the key issues this research identified: •          Improving data integrity •          Optimizing processes •          Integrating the extended financial close process By addressing these issues and with clear guidance on how to implement the correct business processes, infrastructure, and software solutions, finance teams will find that their reporting processes are much more effective, cost-efficient, and aligned with their performance expectations. To get a copy of the full report: http://www.oracle.com/webapps/dialogue/ns/dlgwelcome.jsp?p_ext=Y&p_dlg_id=11747758&src=7300117&Act=92 To replay a webcast discussing the findings: http://www.cfo.com/webcast.cfm?webcast=14639438&pcode=ORA061912_ORA

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  • Qt vs WPF/.NET

    - by aaronc
    My company is trying to make the decision between using Qt/C++ for our GUI framework or migrating to .NET and using WPF. We have up to this point been using MFC. It seems that .NET/WPF is technically the most advanced and feature-rich platform. I do, however, have several concerns. These include: Platform support Framework longevity (i.e. future-proofing) Performance and overhead For this application we are willing to sacrifice support for Windows 2000, Macs, and Linux. But, the issue is more related to Microsoft's commitment to the framework and their extant platforms. It seems like Microsoft has a bad habit of coming up with something new, hyping it for a few years, and then relegating it to the waste-bin essentially abandoning the developers who chose it. First it was MFC and VB6, then Windows Forms, and now there's WPF. Also with .NET, versions of Windows were progressively nicked off the support list. Looks like WPF could be here to stay for a while, but since its not open source its really in Microsoft's hands. I'm also concerned about the overhead and performance of WPF since some of our applications involve processing large amounts of information and doing real-time data capture. Qt seems like a really good option, but it doesn't have all the features of WPF/.NET couldn't use languages like C#. Basically, what does the community think about Microsoft's commitment to WPF compared with previous frameworks? Are the performance considerations significant enough to avoid using it for a realtime app? And, how significant are the benefits of WPF/.NET in terms of productivity and features compared to Qt?

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  • Will fixed-point arithmetic be worth my trouble?

    - by Thomas
    I'm working on a fluid dynamics Navier-Stokes solver that should run in real time. Hence, performance is important. Right now, I'm looking at a number of tight loops that each account for a significant fraction of the execution time: there is no single bottleneck. Most of these loops do some floating-point arithmetic, but there's a lot of branching in between. The floating-point operations are mostly limited to additions, subtractions, multiplications, divisions and comparisons. All this is done using 32-bit floats. My target platform is x86 with at least SSE1 instructions. (I've verified in the assembler output that the compiler indeed generates SSE instructions.) Most of the floating-point values that I'm working with have a reasonably small upper bound, and precision for near-zero values isn't very important. So the thought occurred to me: maybe switching to fixed-point arithmetic could speed things up? I know the only way to be really sure is to measure it, that might take days, so I'd like to know the odds of success beforehand. Fixed-point was all the rage back in the days of Doom, but I'm not sure where it stands anno 2010. Considering how much silicon is nowadays pumped into floating-point performance, is there a chance that fixed-point arithmetic will still give me a significant speed boost? Does anyone have any real-world experience that may apply to my situation?

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  • Pros and cons of making database IDs consistent and "readable"

    - by gmale
    Question Is it a good rule of thumb for database IDs to be "meaningless?" Conversely, are there significant benefits from having IDs structured in a way where they can be recognized at a glance? What are the pros and cons? Background I just had a debate with my coworkers about the consistency of the IDs in our database. We have a data-driven application that leverages spring so that we rarely ever have to change code. That means, if there's a problem, a data change is usually the solution. My argument was that by making IDs consistent and readable, we save ourselves significant time and headaches, long term. Once the IDs are set, they don't have to change often and if done right, future changes won't be difficult. My coworkers position was that IDs should never matter. Encoding information into the ID violates DB design policies and keeping them orderly requires extra work that, "we don't have time for." I can't find anything online to support either position. So I'm turning to all the gurus here at SA! Example Imagine this simplified list of database records representing food in a grocery store, the first set represents data that has meaning encoded in the IDs, while the second does not: ID's with meaning: Type 1 Fruit 2 Veggie Product 101 Apple 102 Banana 103 Orange 201 Lettuce 202 Onion 203 Carrot Location 41 Aisle four top shelf 42 Aisle four bottom shelf 51 Aisle five top shelf 52 Aisle five bottom shelf ProductLocation 10141 Apple on aisle four top shelf 10241 Banana on aisle four top shelf //just by reading the ids, it's easy to recongnize that these are both Fruit on Aisle 4 ID's without meaning: Type 1 Fruit 2 Veggie Product 1 Apple 2 Banana 3 Orange 4 Lettuce 5 Onion 6 Carrot Location 1 Aisle four top shelf 2 Aisle four bottom shelf 3 Aisle five top shelf 4 Aisle five bottom shelf ProductLocation 1 Apple on aisle four top shelf 2 Banana on aisle four top shelf //given the IDs, it's harder to see that these are both fruit on aisle 4 Summary What are the pros and cons of keeping IDs readable and consistent? Which approach do you generally prefer and why? Is there an accepted industry best-practice?

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  • Linq to find pair of points with longest length?

    - by Chris
    I have the following code: foreach (Tuple<Point, Point> pair in pointsCollection) { var points = new List<Point>() { pair.Value1, pair.Value2 }; } Within this foreach, I would like to be able to determine which pair of points has the most significant length between the coordinates for each point within the pair. So, let's say that points are made up of the following pairs: (1) var points = new List<Point>() { new Point(0,100), new Point(100,100) }; (2) var points = new List<Point>() { new Point(150,100), new Point(200,100) }; So I have two sets of pairs, mentioned above. They both will plot a horizontal line. I am interested in knowing what the best approach would be to find the pair of points that have the greatest distance between, them, whether it is vertically or horizontally. In the two examples above, the first pair of points has a difference of 100 between the X coordinate, so that would be the point with the most significant difference. But if I have a collection of pairs of points, where some points will plot a vertical line, some points will plot a horizontal line, what would be the best approach for retrieving the pair from the set of points whose difference, again vertically or horizontally, is the greatest among all of the points in the collection? Thanks! Chris

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  • CFHost DNS Resolution - When is it OK to use synchronous API?

    - by Jasarien
    I went to the iPhone Developer Tech Talk a few months ago and asked one of the gurus there about the lack of NSHost on the iPhone. Some code I was porting to the iPhone made significant use of NSHost throughout its networking code. I was told that NSHost is on the iPhone, but its private. I was also told that NSHost is a synchronous API and that I shouldn't use it anyway. (If anyone could elaborate on why it shouldn't be used, as a bonus, that'd be great.) I can see the caveats of using synchronous API's on the main thread in that they'll block until complete - and that's never a good thing with network code because there are so many factors that could cause the API to block the thread for a significant amount of time. My solution was to write a wrapper around CFHost's asynchronous resolution functions. The result works quite well, and I'm considering releasing it into the public domain. But my question is this: Say my app only resolves a hostname once per run, during the connecting phase, and then cache's it for the rest of the session. During the time it is resolving, a modal screen is shown telling the user "Connecting" with a nice spinner. Does it really matter whether or not the resolution is asynchronous?? The user has to wait to connect anyway, and the resolution is only done on the first connection. Subsequent connections use the cached result of the resolution. When is it OK to be synchronous and when should things be asynchronous?

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  • What is best practice (and implications) for packaging projects into JAR's?

    - by user245510
    What is considered best practice deciding how to define the set of JAR's for a project (for example a Swing GUI)? There are many possible groupings: JAR per layer (presentation, business, data) JAR per (significant?) GUI panel. For significant system, this results in a large number of JAR's, but the JAR's are (should be) more re-usable - fine-grained granularity JAR per "project" (in the sense of an IDE project); "common.jar", "resources.jar", "gui.jar", etc I am an experienced developer; I know the mechanics of creating JAR's, I'm just looking for wisdom on best-practice. Personally, I like the idea of a JAR per component (e.g. a panel), as I am mad-keen on encapsulation, and the holy-grail of re-use accross projects. I am concerned, however, that on a practical, performance level, the JVM would struggle class loading over dozens, maybe hundreds of small JAR's. Each JAR would contain; the GUI panel code, necessary resources (i.e. not centralised) so each panel can stand alone. Does anyone have wisdom to share?

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  • What is faster- Java or C# (Or good old C)?

    - by Rexsung
    I'm currently deciding on a platform to build a scientific computational product on, and am deciding on either C#, Java, or plain C with Intels compiler on Core2 Quad CPU's. It's mostly integer arithmetic. My benchmarks so far show Java and C are about on par with each other, and dotNET/C# trails by about 5%- however a number of my coworkers are claiming that dotNET with the right optimizations will beat both of these given enough time for the JIT to do its work. I always assume that the JIT would have done it's job within a few minutes of the app starting (Probably a few seconds in my case, as it's mostly tight loops), so I'm not sure whether to believe them Can anyone shed any light on the situation? Would dotNET beat Java? (Or am I best just sticking with C at this point?). The code is highly multithreaded and data sets are several terabytes in size. Haskell/erlang etc are not options in this case as there is a significant quantity of existing legacy C code that will be ported to the new system, and porting C to Java/C# is a lot simpler than to Haskell or Erlang. (Unless of course these provide a significant speedup). Edit: We are considering moving to C# or Java because they may, in theory, be faster. Every percent we can shave off our processing time saves us tens of thousands of dollars per year. At this point we are just trying to evaluate whether C, Java, or c# would be faster.

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  • 4.0/WCF: Best approach for bi-idirectional message bus?

    - by TomTom
    Just a technology update, now that .NET 4.0 is out. I write an application that communicates to the server through what is basically a message bus (instead of method calls). This is based on the internal architecture of the application (which is multi threaded, passing the messages around). There are a limited number of messages to go from the client to the server, quite a lot more from the server to the client. Most of those can be handled via a separate specialized mechanism, but at the end we talk of possibly 10-100 small messages per second going from the server to the client. The client is supposed to operate under "internet conditions". THis means possibly home end users behind standard NAT devices (i.e. typical DSL routers) - a firewalled secure and thus "open" network can not be assumed. I want to have as little latency and as little overhad for the communication as possible. What is the technologally best way to handle the message bus callback? I Have no problem regularly calling to the server for message delivery if something needs to be sent... ...but what are my options to handle the messagtes from the server to the client? WsDualHttp does work how? Especially under a NAT scenario? Just as a note: polling is most likely out - the main problem here is that I would have a significant overhead OR a significant delay, both aren ot really wanted. Technically I would love some sort of streaming appraoch, where the server can write messags to a stream while he generates them and they get sent to the client as they come. Not esure this is doable with WCF, though (if not, I may acutally decide to handle the whole message part outside of WCF and just do control / login / setup / destruction via WCF).

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