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• New Book From Luís Abreu: ASP.NET 4.0 – The Complete Course (Portuguese)

  - by Paulo Morgado

  Thsi book, with several practical examples, presents how to build web applications using ASP.NET 4.0. Starts by introducing the framework to build pages and controls and gradually introduces all the new features available. More compact that its previous versions  (part of the content was moved to FCA’s site in the form of apendices), this new book gives emphasis to to the new features in ASP.NET 4.0 and targets both developers new to ASP.NET and developers moving from previous versions of ASP.NET. This time there’s good new for Brazilian readers. The book will be distributed in Brazil by: Zamboni Comércio de Livros Ltda. Av.Parada Pinto, 1476 São Paulo – SP Telf. / Fax: +55 11 2233-2333 E-mail: [email protected] Our book (LINQ Com C# (Portuguese)) isn’t still distributed in Brazil, but, if you want it, you can always try that distributer.

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• E-Business Suite Certified with DB 11.2.0.2 on HP-UX Itanium and IBM AIX on Power

  - by Steven Chan

  As a follow-on to our previous certification announcement, Oracle Database 11g Release 2 (11.2.0.2) s now certified with Oracle E-Business Suite Release 12 (12.0.x and 12.1.x) and 11i (11.5.10.2 + ATG PF.H RUP 6 and higher) on the following additional platforms:Oracle E-Business Suite Release 12HP-UX Itanium (11.31) IBM AIX on Power Systems (64-bit) (5.3, 6.1) Oracle E-Business Suite Release 11iIBM AIX on Power Systems (64-bit) (5.3, 6.1)

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• Software Architecture and Software Architecture Evaluation

  How many of us have worked at places where the concept of software architecture was ridiculed for wasting time and money? Even more ridiculous to them was the concept of evaluating software architecture. I think the next time that I am in this situation again, and I hope that I never am I will have to push for this methodology in the software development life cycle. I have spent way too many hours/days/months/years working poorly architected systems or systems that were just built ADHOC. This in software development must stop. I can understand why systems get like this due to overzealous sales staff, demanding management that wants everything yesterday, and project managers asking if things are done yet before the project has even started. But seriously, some time must be spent designing the applications that we write along with evaluating the architecture so that it will integrate will within the existing systems of an origination. If placed in this situation again, I will strive to gain buying from key players within the business, for example: Senior Software Engineers\Developers, Software Architects, Project Managers, Software Quality Assurance, Technical Services, Operations, and Finance in order for this idea to succeed with upper management. In order to convince these key players I will have to show them the benefits of architecture and even more benefits of evaluating software architecture on a system wide level. Benefits of Software Architecture Evaluation Places Stakeholders in the Same Room to Communicate Ensures Delivery of Detailed Quality Goals Prioritizes Conflicting Goals Requires Clear Explication Improves the Quality of Documentation Discovers Opportunities for Cross-Project Reuse Improves Architecture Practices Once I had key player buy in then and only then would I approach upper management about my plan regarding implementing the concept of software architecture and using evaluation to ensure that the software being designed is the proper architecture for the project. In addition to the benefits listed above I would also show upper management how much time is being wasted by not doing these evaluations. For example, if project X cost us Y amount, then why do we have several implementations in various forms of X and how much money and time could we have saved if we just reused the existing code base to give each system the same functionality that was already created? After this, I would mention what would happen if we had 50 instances of this situation? Then I would show them how the software architecture evaluation process would have prevented this and that the optimization could have leveraged its existing code base to increase the speed and quality of its development. References:Carnegie Mellon Software Engineering Institute (2011). Architecture Tradeoff Analysis Method from http://www.sei.cmu.edu/architecture/tools/evaluate/atam.cfm

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• Reinventing the Wheel – Automating Data Consistency Checks with Powershell

  - by Jonathan Kehayias

  When I started in my current position at the beginning of the year, one of the first things that I did was to schedule a sit down with the various teams of Analysts that exist in our organization to find out more about their systems.  One thing I am always interested in is the manual processes that people do routinely that might be able to be automated.   A couple of the analyst mentioned that they routinely run queries in their systems to identify issues so that they can proactively...(read more)

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• SQL SERVER – Guest Post – Architecting Data Warehouse – Niraj Bhatt

  - by pinaldave

  Niraj Bhatt works as an Enterprise Architect for a Fortune 500 company and has an innate passion for building / studying software systems. He is a top rated speaker at various technical forums including Tech·Ed, MCT Summit, Developer Summit, and Virtual Tech Days, among others. Having run a successful startup for four years Niraj enjoys working on – IT innovations that can impact an enterprise bottom line, streamlining IT budgets through IT consolidation, architecture and integration of systems, performance tuning, and review of enterprise applications. He has received Microsoft MVP award for ASP.NET, Connected Systems and most recently on Windows Azure. When he is away from his laptop, you will find him taking deep dives in automobiles, pottery, rafting, photography, cooking and financial statements though not necessarily in that order. He is also a manager/speaker at BDOTNET, Asia’s largest .NET user group. Here is the guest post by Niraj Bhatt. As data in your applications grows it’s the database that usually becomes a bottleneck. It’s hard to scale a relational DB and the preferred approach for large scale applications is to create separate databases for writes and reads. These databases are referred as transactional database and reporting database. Though there are tools / techniques which can allow you to create snapshot of your transactional database for reporting purpose, sometimes they don’t quite fit the reporting requirements of an enterprise. These requirements typically are data analytics, effective schema (for an Information worker to self-service herself), historical data, better performance (flat data, no joins) etc. This is where a need for data warehouse or an OLAP system arises. A Key point to remember is a data warehouse is mostly a relational database. It’s built on top of same concepts like Tables, Rows, Columns, Primary keys, Foreign Keys, etc. Before we talk about how data warehouses are typically structured let’s understand key components that can create a data flow between OLTP systems and OLAP systems. There are 3 major areas to it: a) OLTP system should be capable of tracking its changes as all these changes should go back to data warehouse for historical recording. For e.g. if an OLTP transaction moves a customer from silver to gold category, OLTP system needs to ensure that this change is tracked and send to data warehouse for reporting purpose. A report in context could be how many customers divided by geographies moved from sliver to gold category. In data warehouse terminology this process is called Change Data Capture. There are quite a few systems that leverage database triggers to move these changes to corresponding tracking tables. There are also out of box features provided by some databases e.g. SQL Server 2008 offers Change Data Capture and Change Tracking for addressing such requirements. b) After we make the OLTP system capable of tracking its changes we need to provision a batch process that can run periodically and takes these changes from OLTP system and dump them into data warehouse. There are many tools out there that can help you fill this gap – SQL Server Integration Services happens to be one of them. c) So we have an OLTP system that knows how to track its changes, we have jobs that run periodically to move these changes to warehouse. The question though remains is how warehouse will record these changes? This structural change in data warehouse arena is often covered under something called Slowly Changing Dimension (SCD). While we will talk about dimensions in a while, SCD can be applied to pure relational tables too. SCD enables a database structure to capture historical data. This would create multiple records for a given entity in relational database and data warehouses prefer having their own primary key, often known as surrogate key. As I mentioned a data warehouse is just a relational database but industry often attributes a specific schema style to data warehouses. These styles are Star Schema or Snowflake Schema. The motivation behind these styles is to create a flat database structure (as opposed to normalized one), which is easy to understand / use, easy to query and easy to slice / dice. Star schema is a database structure made up of dimensions and facts. Facts are generally the numbers (sales, quantity, etc.) that you want to slice and dice. Fact tables have these numbers and have references (foreign keys) to set of tables that provide context around those facts. E.g. if you have recorded 10,000 USD as sales that number would go in a sales fact table and could have foreign keys attached to it that refers to the sales agent responsible for sale and to time table which contains the dates between which that sale was made. These agent and time tables are called dimensions which provide context to the numbers stored in fact tables. This schema structure of fact being at center surrounded by dimensions is called Star schema. A similar structure with difference of dimension tables being normalized is called a Snowflake schema. This relational structure of facts and dimensions serves as an input for another analysis structure called Cube. Though physically Cube is a special structure supported by commercial databases like SQL Server Analysis Services, logically it’s a multidimensional structure where dimensions define the sides of cube and facts define the content. Facts are often called as Measures inside a cube. Dimensions often tend to form a hierarchy. E.g. Product may be broken into categories and categories in turn to individual items. Category and Items are often referred as Levels and their constituents as Members with their overall structure called as Hierarchy. Measures are rolled up as per dimensional hierarchy. These rolled up measures are called Aggregates. Now this may seem like an overwhelming vocabulary to deal with but don’t worry it will sink in as you start working with Cubes and others. Let’s see few other terms that we would run into while talking about data warehouses. ODS or an Operational Data Store is a frequently misused term. There would be few users in your organization that want to report on most current data and can’t afford to miss a single transaction for their report. Then there is another set of users that typically don’t care how current the data is. Mostly senior level executives who are interesting in trending, mining, forecasting, strategizing, etc. don’t care for that one specific transaction. This is where an ODS can come in handy. ODS can use the same star schema and the OLAP cubes we saw earlier. The only difference is that the data inside an ODS would be short lived, i.e. for few months and ODS would sync with OLTP system every few minutes. Data warehouse can periodically sync with ODS either daily or weekly depending on business drivers. Data marts are another frequently talked about topic in data warehousing. They are subject-specific data warehouse. Data warehouses that try to span over an enterprise are normally too big to scope, build, manage, track, etc. Hence they are often scaled down to something called Data mart that supports a specific segment of business like sales, marketing, or support. Data marts too, are often designed using star schema model discussed earlier. Industry is divided when it comes to use of data marts. Some experts prefer having data marts along with a central data warehouse. Data warehouse here acts as information staging and distribution hub with spokes being data marts connected via data feeds serving summarized data. Others eliminate the need for a centralized data warehouse citing that most users want to report on detailed data. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Best Practices, Business Intelligence, Data Warehousing, Database, Pinal Dave, PostADay, Readers Contribution, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• Reinventing the Wheel – Automating Data Consistency Checks with Powershell

  - by Jonathan Kehayias

  When I started in my current position at the beginning of the year, one of the first things that I did was to schedule a sit down with the various teams of Analysts that exist in our organization to find out more about their systems.  One thing I am always interested in is the manual processes that people do routinely that might be able to be automated.   A couple of the analyst mentioned that they routinely run queries in their systems to identify issues so that they can proactively...(read more)

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• New Netra SPARC T3 Servers

  - by Ferhat Hatay

  Today at the Mobile World Congress 2011, Oracle announced two new carrier-grade NEBS Level 3- certified servers: Oracle’s Netra SPARC T3-1 rackmount server and Oracle’s Netra SPARC T3-1BA ATCA blade server bringing the performance, scalability and power efficiency of the newest SPARC T3 processor to the communications market.    The Netra SPARC T3-1 server enclosure has a compact 20inch-deep carrier-grade rack-optimized design The new Netra SPARC T3 servers further expand Oracle’s complete portfolio for the communications industry, which includes carrier-grade servers, storage and application software to run operations support systems and service delivery platforms with easy migration capabilities and unmatched investment protection via the binary compatibility guarantee of the Oracle Solaris operating system. With advanced reliability, networking and security features built-in to Oracle Solaris – the most widely deployed carrier-grade OS – the systems announced today are uniquely suited for mission-critical core network infrastructure and service delivery. The world’s first carrier-grade system using the 16-core, 128-thread SPARC T3 processor, the Netra SPARC T3-1 server supports 2x the I/O bandwidth, 2x the memory and is 35 percent faster than the previous generation. With integrated on-chip 10 Gigabit Ethernet, on-chip cryptographic acceleration, and built-in, no-cost Oracle VM Server for SPARC and Oracle Solaris Containers for virtualization, the Netra SPARC T3-1 server is an ideal platform for consolidation, offering 128 virtual systems in a single server. As the next generation Netra SPARC ATCA blade, Netra SPARC T3-1BA ATCA blade server brings the PICMG 3.0 compatibility, NEBS Level 3 Certification, ETSI compliance and the Netra business practices to the customer solution. The Netra SPARC T3-1BA ATCA blade server can be mixed in the Sun Netra CT900 blade chassis with other ATCA UltraSPARC and x86 blades.     The Netra SPARC T3-1BA ATCA blade server   The Netra SPARC T3-1BA ATCA blade server delivers industry-leading scalability, density and cost efficiency with up to 36 SPARC T3 processors (3456 processing threads) in a single rack – a 50 percent increase over the previous generation. The Netra SPARC T3-1BA blade server also offers high-bandwidth and high-capacity I/O, with greater memory capacity to tackle the increasing business demands of the communications industry. For service providers faced with the rapid growth of broadband networks and the dramatic surge in global smartphone adoption, the new Netra SPARC T3 systems deliver continuous availability with massive scalability, tested and certified to run in the harshest conditions. More information Oracle’s Sun Netra Servers Scaling Throughput and Managing TCO with Oracle’s Netra SPARC T3-1 Servers Enabling End-to-End 10 Gigabit Ethernet in Oracle's Sun Netra ATCA Product Family Data Sheet: Netra SPARC T3-1BA ATCA Blade Server Data Sheet: Netra SPARC T3-1 Server Oracle Solaris: The Carrier Grade Operating System

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• Taking AIIM at Social

  - by Christie Flanagan

  Today we are pleased to have a guest post from Christian Finn (@cfinn).  Christian is Senior Director of Product Management for Oracle WebCenter and heads up the WebCenter evangelist team.Last week I had the privilege of speaking at AIIM’s new conference in San Francisco.  AIIM, for those of you not familiar with it, is a global community of information professionals and got its start with ECM and imaging long ago. With 65,000+ members, AIIM has now set about broadening its scope to focus more on the intersection between systems of record (think traditional ECM) and systems of engagement (think social solutions).  So AIIM’s conference is a natural place to be for WebCenter types like me, who have a foot in both of those worlds.AIIM used to have their name on a very large tradeshow, but have changed direction now to run a small, intimate conference.  The lineup of keynotes was terrific, including David Pogue of The New York Times, Clay Shirky, author of Here Comes Everybody, and Ted Schadler, author of Empowered among many thought-provoking and engaging speakers. (Note: Ted will soon be featured in our Social Business webcast series. Stay tuned.)John Mancini and his team at AIIM did a fabulous job running the event and the engagement from the 450 attendees was sustained over the two and a half days.  Our proudest moment was having three finalists up for AIIM awards including: San Joaquin County, CA, for a justice case management system using WebCenter Content and Oracle BPM; Medtronic and Fishbowl Solutions for their innovative iPad solutions on WebCenter Content, and the government of Louisville, Kentucky/Jefferson County for their accounts payable solution using WebCenter Content’s Image & Process Management.  The highlight of the awards night was San Joaquin winning the small organization award against some tough competition.In addition to the conversations sparked at the show, AIIM promoted the whitepapers their industry task forces have produced on the impact and opportunities created by systems of engagement and systems of record. The task forces were led by: Geoffrey Moore, the renowned high tech marketing guru and author of Crossing The Chasm; and Andrew McAfee, who coined the term and wrote the book, Enterprise 2.0. (Note: Andy will also be featured soon on the Social Business webcast series.)  These free papers make short, excellent reading and you can download them on the AIIM website: Moore highlights the changes to Enterprise IT that the social revolution will engender, and McAfee covers where and how organizations are finding value in using social techniques to foster innovation, to scale Q&A across the organization, and to connect sales and marketing for greater efficiency and effectiveness. Moore’s whitepaper is here and McAfee’s whitepapers are available here. For the benefit of those who did not get a chance to attend the AIIM conference, I’ll be posting the topics of my AIIM presentation, “Three Principles for Fixing Your Broken Organization,” here on the WebCenter blog over the rest of this week and next in a series of posts.  

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• Bunny Inc. – Episode 1. Mr. CIO meets Mr. Executive Manager

  - by kellsey.ruppel(at)oracle.com

  To make accurate and timely business decisions, executive managers are constantly in need of valuable information that is often hidden in old-style traditional systems. What can Mr. CIO come up with to help make Mr. Executive Manager's job easier at Bunny Inc.? Take a look and discover how you too can make informed business decisions by combining back-office systems with social media. Bunny Inc. -- Episode 1. Mr. CIO meets Mr. Executive ManagerTechnorati Tags: UXP, collaboration, enterprise 2.0, modern user experience, oracle, portals, webcenter, e20bunnies

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• What steps can you take to ensure sane build environments when compiling software?

  - by Chris Adams

  Hi guys, I've been stuck with a compilation problem when building a standardised virtual machine on CentOS 5.4, and I'm in the dark here as to a) why this error is occurring, and b) how to fix it, and in the hope that someone else stumbles across this problem too, I'm hoping someone can help me find the solution here. I'm getting a configure: error: newly created file is older than distributed files! error when trying to compile Ruby Enterprise like below when I try to run the installer, and the solutions offered to on the forums (of checking the tine, and touching the files to update the time associated with them) don't seem to be helping here. What steps can I take to work out what the cause of this problem? [vagrant@vagrant-centos-5 ruby-enterprise-1.8.7-2009.10]$ sudo ./installer Welcome to the Ruby Enterprise Edition installer This installer will help you install Ruby Enterprise Edition 1.8.7-2009.10. Don't worry, none of your system files will be touched if you don't want them to, so there is no risk that things will screw up. You can expect this from the installation process: 1. Ruby Enterprise Edition will be compiled and optimized for speed for this system. 2. Ruby on Rails will be installed for Ruby Enterprise Edition. 3. You will learn how to tell Phusion Passenger to use Ruby Enterprise Edition instead of regular Ruby. Press Enter to continue, or Ctrl-C to abort. Checking for required software... * C compiler... found at /usr/bin/gcc * C++ compiler... found at /usr/bin/g++ * The 'make' tool... found at /usr/bin/make * Zlib development headers... found * OpenSSL development headers... found * GNU Readline development headers... found -------------------------------------------- Target directory Where would you like to install Ruby Enterprise Edition to? (All Ruby Enterprise Edition files will be put inside that directory.) [/opt/ruby-enterprise] : -------------------------------------------- Compiling and optimizing the memory allocator for Ruby Enterprise Edition In the mean time, feel free to grab a cup of coffee. ./configure --prefix=/opt/ruby-enterprise --disable-dependency-tracking checking build system type... i686-pc-linux-gnu checking host system type... i686-pc-linux-gnu checking for a BSD-compatible install... /usr/bin/install -c checking whether build environment is sane... configure: error: newly created file is older than distributed files! Check your system clock This is a virtual machine running on virtualbox, and the time of the host and the virtual machine are identical, and up to date. I've also tried running this after updating time with an ntp-client, so no avail. I tried this after reading this post here of someone having a similar problem [vagrant@vagrant-centos-5 ruby-enterprise-1.8.7-2009.10]$ date Tue Apr 27 08:09:05 BST 2010 The other approach I've tried is to touch the top level the files in the build folder like suggested here, but this hasn't worked either (an to be honest, I'm not sure why it would have worked either) [vagrant@vagrant-centos-5 ruby-enterprise-1.8.7-2009.10]$ sudo touch ruby-enterprise-1.8.7-2009.10/* I'm not sure what I can do next here - the problem seems to be the bash configure script that returns this error error: newly created file is older than distributed files!, at line :2214 { echo "$as_me:$LINENO: checking whether build environment is sane" >&5 echo $ECHO_N "checking whether build environment is sane... $ECHO_C" >&6; } # Just in case sleep 1 echo timestamp > conftest.file # Do `set' in a subshell so we don't clobber the current shell's # arguments. Must try -L first in case configure is actually a # symlink; some systems play weird games with the mod time of symlinks # (eg FreeBSD returns the mod time of the symlink's containing # directory). if ( set X `ls -Lt $srcdir/configure conftest.file 2> /dev/null` if test "$*" = "X"; then # -L didn't work. set X `ls -t $srcdir/configure conftest.file` fi rm -f conftest.file if test "$*" != "X $srcdir/configure conftest.file" \ && test "$*" != "X conftest.file $srcdir/configure"; then # If neither matched, then we have a broken ls. This can happen # if, for instance, CONFIG_SHELL is bash and it inherits a # broken ls alias from the environment. This has actually # happened. Such a system could not be considered "sane". { { echo "$as_me:$LINENO: error: ls -t appears to fail. Make sure there is not a broken alias in your environment" >&5 echo "$as_me: error: ls -t appears to fail. Make sure there is not a broken alias in your environment" >&2;} { (exit 1); exit 1; }; } fi ### PROBLEM LINE #### # this line is the problem line - this is returned true, sometimes it isn't and I can't # see a pattern that that determines when this will test will pass or not. test "$2" = conftest.file ) then # Ok. : else { { echo "$as_me:$LINENO: error: newly created file is older than distributed files! Check your system clock" >&5 echo "$as_me: error: newly created file is older than distributed files! Check your system clock" >&2;} { (exit 1); exit 1; }; } fi the thing that makes this really frustrating is that this script works sometimes, when the VM has been running for an hour or so it works, but not at boot. There's nothing I see in the crontab that suggests any hourly tasks are run that might change the state of the system enough make a difference to this script working. I'm totally at a loss when it comes to debugging beyond here. What's the best approach to take here? Thanks

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• Oracle Releases New Mainframe Re-Hosting in Oracle Tuxedo 11g

  - by Jason Williamson

  I'm excited to say that we've released our next generation of Re-hosting in 11g. In fact I'm doing some hands-on labs now for our Systems Integrators in Italy in a couple of weeks and targeting Latin America next month. If you are an SI, or Rehosting firm and are looking to become an Oracle Partner or get a better understanding of Tuxedo and how to use the workbench for rehosting...drop me a line. Oracle Tuxedo Application Runtime for CICS and Batch 11g provides a CICS API emulation and Batch environment that exploits the full range of Oracle Tuxedo's capabilities. Re-hosted applications run in a multi-node, grid environment with centralized production control. Also, enterprise integration of CICS application services benefits from an open and SOA-enabled framework. Key features include: CICS Application Runtime: Can run IBM CICS applications unchanged in an application grid, which enables the distribution of large workloads across multiple processors and nodes. This simplifies CICS administration and can scale to over 100,000 users and over 50,000 transactions per second. 3270 Terminal Server: Protects business users from change through support for tn3270 terminal emulation. Distributed CICS Resource Management: Simplifies deployment and administration by allowing customers to run CICS regions in a distributed configuration. Batch Application Runtime: Provides robust IBM JES-like job management that enables local or remote job submissions. In addition, distributed batch initiators can enable parallelization of jobs and support fail-over, shortening the batch window and helping to meet stringent SLAs. Batch Execution Environment: Helps to run IBM batch unchanged and also supports JCL functionality and all common batch utilities. Oracle Tuxedo Application Rehosting Workbench 11g provides a set of automated migration tools integrated around a central repository. The tools provide high precision which results in very low error rates and the ability to handle large applications. This enables less expensive, low-risk migration projects. Key capabilities include: Workbench Repository and Cataloguer: Ensures integrity of the migrated application assets through full dependency checking. The Cataloguer generates and maintains all relevant meta-data on source and target components. File Migrator: Supports reliable migration of datasets and flat files to an ISAM or Oracle Database 11g. This is done through the automated migration utilities for data unloading, reloading and validation. It also generates logical access functions to shield developers from data repository changes. DB2 Migrator: Similarly, this tool automates the migration of DB2 schema and data to Oracle Database 11g. COBOL Migrator: Supports migration of IBM mainframe COBOL assets (OLTP and Batch) to open systems. Adapts programs for compiler dialects and data access variations. JCL Migrator: Supports migration of IBM JCL jobs to a Tuxedo ART environment, maintaining the flow and characteristics of batch jobs.

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• Engagement: Don’t Forget Your Employees!

  - by Kellsey Ruppel

  By Mark Brown, Sr. Director, Oracle WebCenter  This week we want to focus on Employee Engagement, and how it is critical to your business. Today we hear and read a great deal about “Customer Engagement” – and rightly so, it is those customers, whether they be traditional paying customers, citizens, students, club members, or whomever it is that are “paying the bills”.  A more engaged customer is more likely to make it easier to pay those bills by buying more, giving good reviews, or spreading the word of how wonderful their experience was. But what about those who are providing those services, those who design and make those goods; why is it that all too often they are left out of conversations concerning engagement? In fact, it is critical that we consider our employees as customers since they are using internal systems that run your organization the same way customers use external systems. Studies have shown that an organization in which the employees feel “engaged” or better able to make decisions, do their jobs, and are connected to their peers have better return to their stakeholders. (shareholders).  On the surface this seems obvious, happy employees are more productive employees. But it leads to the question – how many of our existing policies, systems and processes are actually reducing that level of engagement? Let’s look at a couple examples. If posting new information that may be of great value to everyone in the larger organization is hard to do because we use an antiquated system, then we’re making it hard to share and increasing the potential for duplicate work. If it is not trivially obvious how to create and publish this post, then chances are very high that I’ll put it on the bottom of my queue. And finally, when critical information is spread across various systems, intranet sites, workgroups and peoples inboxes, then it is very hard to learn and grow from that information.  These may sound trivial, but how often do we push things off not because it is intellectually challenging, we may have the answer at our fingertips, but because it is hard to make that information readily available.  If an engaged employee is a productive employee, then what can we do to increase their level of engagement? We can start by looking for opportunities to provide self-documenting self-service solutions. Our newer employees grew up using simplified web interfaces everyday and they loathe calling a help-desk unless it is the last resort. Sadly, many of our enterprise applications have not kept pace and we all still have processes that are based on sending an email -- like discount approvals, vacation requests, or even offer-letter approvals.   My suggestion is to pick one highly visible, high-impact process where employees are either reticent to execute on the process or openly complain about how cumbersome it is and look at the mechanism for that process. If there are better ways, streamlined steps, better UIs that could be done, then you have a candidate to reconfigure that process and make it more engaging. Looking to better engage your employees? Start here!

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• Big Data – Various Learning Resources – How to Start with Big Data? – Day 20 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned how to become a Data Scientist for Big Data. In this article we will go over various learning resources related to Big Data. In this series we have covered many of the most essential details about Big Data. At the beginning of this series, I have encouraged readers to send me questions. One of the most popular questions is - “I want to learn more about Big Data. Where can I learn it?” This is indeed a great question as there are plenty of resources out to learn about Big Data and it is indeed difficult to select on one resource to learn Big Data. Hence I decided to write here a few of the very important resources which are related to Big Data. Learn from Pluralsight Pluralsight is a global leader in high-quality online training for hardcore developers.  It has fantastic Big Data Courses and I started to learn about Big Data with the help of Pluralsight. Here are few of the courses which are directly related to Big Data. Big Data: The Big Picture Big Data Analytics with Tableau NoSQL: The Big Picture Understanding NoSQL Data Analysis Fundamentals with Tableau I encourage all of you start with this video course as they are fantastic fundamentals to learn Big Data. Learn from Apache Resources at Apache are single point the most authentic learning resources. If you want to learn fundamentals and go deep about every aspect of the Big Data, I believe you must understand various concepts in Apache’s library. I am pretty impressed with the documentation and I am personally referencing it every single day when I work with Big Data. I strongly encourage all of you to bookmark following all the links for authentic big data learning. Haddop - The Apache Hadoop® project develops open-source software for reliable, scalable, distributed computing. Ambari: A web-based tool for provisioning, managing, and monitoring Apache Hadoop clusters which include support for Hadoop HDFS, Hadoop MapReduce, Hive, HCatalog, HBase, ZooKeeper, Oozie, Pig and Sqoop. Ambari also provides a dashboard for viewing cluster health such as heat maps and ability to view MapReduce, Pig and Hive applications visually along with features to diagnose their performance characteristics in a user-friendly manner. Avro: A data serialization system. Cassandra: A scalable multi-master database with no single points of failure. Chukwa: A data collection system for managing large distributed systems. HBase: A scalable, distributed database that supports structured data storage for large tables. Hive: A data warehouse infrastructure that provides data summarization and ad hoc querying. Mahout: A Scalable machine learning and data mining library. Pig: A high-level data-flow language and execution framework for parallel computation. ZooKeeper: A high-performance coordination service for distributed applications. Learn from Vendors One of the biggest issues with about learning Big Data is setting up the environment. Every Big Data vendor has different environment request and there are lots of things require to set up Big Data framework. Many of the users do not start with Big Data as they are afraid about the resources required to set up framework as well as a time commitment. Here Hortonworks have created fantastic learning environment. They have created Sandbox with everything one person needs to learn Big Data and also have provided excellent tutoring along with it. Sandbox comes with a dozen hands-on tutorial that will guide you through the basics of Hadoop as well it contains the Hortonworks Data Platform. I think Hortonworks did a fantastic job building this Sandbox and Tutorial. Though there are plenty of different Big Data Vendors I have decided to list only Hortonworks due to their unique setup. Please leave a comment if there are any other such platform to learn Big Data. I will include them over here as well. Learn from Books There are indeed few good books out there which one can refer to learn Big Data. Here are few good books which I have read. I will update the list as I will learn more. Ethics of Big Data Balancing Risk and Innovation Big Data for Dummies Head First Data Analysis: A Learner’s Guide to Big Numbers, Statistics, and Good Decisions If you search on Amazon there are millions of the books but I think above three books are a great set of books and it will give you great ideas about Big Data. Once you go through above books, you will have a clear idea about what is the next step you should follow in this series. You will be capable enough to make the right decision for yourself. Tomorrow In tomorrow’s blog post we will wrap up this series of Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• EPM 11.1.2 - R&A DATABASE CONNECTIONS DISAPPEAR FROM THE "DATABASE CONNECTION MANAGER

  - by Powder

  When accessing the database connection panel through Reporting and Analysis all previously entered database connection do not appear. This is due to a bug in the Windows SMB2 protocol. To work around this bug you have to disable the protocol. On Windows 2008 the protocol is automatically enabled. This needs to be done on both the servers and the clients. Note that “server” is the server which hosts RAF repository service and RM1 folder, “client” – server which hosts replicated Repository service that accesses repository files via network i.e. \\<server_host>\RM1  In order to disable SMB 2.0 on the server side, follow these steps:  1. Run "regedit" on Windows Server 2008 based computer.  2. Expand and locate the sub tree as follows.  HKLM\System\CurrentControlSet\Services\LanmanServer\Parameters  3. Add a new REG_DWORD key with the name of "Smb2" (without quotation mark)  Value name: Smb2  Value type: REG_DWORD  0 = disabled  1 = enabled 4. Set the value to 0 to disable SMB 2.0, or set it to 1 to re-enable SMB 2.0.  5. Reboot the server.  To disable SMB 2.0 for Windows Vista or Windows Server 2008 systems that are the “client” systems run the following commands:  sc config lanmanworkstation depend= bowser/mrxsmb10/nsi  sc config mrxsmb20 start= disabled  Note there's an extra " " (space) after the "=" sign.  To enable back SMB 2.0 for Windows Vista or Windows Server 2008 systems that  are the “client” systems run the following commands: sc config lanmanworkstation depend= bowser/mrxsmb10/mrxsmb20/nsi  sc config mrxsmb20 start= auto  Again, note there's an extra " " (space) after the "=" sign. 

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• Big Data – Operational Databases Supporting Big Data – RDBMS and NoSQL – Day 12 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned the importance of the Cloud in the Big Data Story. In this article we will understand the role of Operational Databases Supporting Big Data Story. Even though we keep on talking about Big Data architecture, it is extremely crucial to understand that Big Data system can’t just exist in the isolation of itself. There are many needs of the business can only be fully filled with the help of the operational databases. Just having a system which can analysis big data may not solve every single data problem. Real World Example Think about this way, you are using Facebook and you have just updated your information about the current relationship status. In the next few seconds the same information is also reflected in the timeline of your partner as well as a few of the immediate friends. After a while you will notice that the same information is now also available to your remote friends. Later on when someone searches for all the relationship changes with their friends your change of the relationship will also show up in the same list. Now here is the question – do you think Big Data architecture is doing every single of these changes? Do you think that the immediate reflection of your relationship changes with your family member is also because of the technology used in Big Data. Actually the answer is Facebook uses MySQL to do various updates in the timeline as well as various events we do on their homepage. It is really difficult to part from the operational databases in any real world business. Now we will see a few of the examples of the operational databases. Relational Databases (This blog post) NoSQL Databases (This blog post) Key-Value Pair Databases (Tomorrow’s post) Document Databases (Tomorrow’s post) Columnar Databases (The Day After’s post) Graph Databases (The Day After’s post) Spatial Databases (The Day After’s post) Relational Databases We have earlier discussed about the RDBMS role in the Big Data’s story in detail so we will not cover it extensively over here. Relational Database is pretty much everywhere in most of the businesses which are here for many years. The importance and existence of the relational database are always going to be there as long as there are meaningful structured data around. There are many different kinds of relational databases for example Oracle, SQL Server, MySQL and many others. If you are looking for Open Source and widely accepted database, I suggest to try MySQL as that has been very popular in the last few years. I also suggest you to try out PostgreSQL as well. Besides many other essential qualities PostgreeSQL have very interesting licensing policies. PostgreSQL licenses allow modifications and distribution of the application in open or closed (source) form. One can make any modifications and can keep it private as well as well contribute to the community. I believe this one quality makes it much more interesting to use as well it will play very important role in future. Nonrelational Databases (NOSQL) We have also covered Nonrelational Dabases in earlier blog posts. NoSQL actually stands for Not Only SQL Databases. There are plenty of NoSQL databases out in the market and selecting the right one is always very challenging. Here are few of the properties which are very essential to consider when selecting the right NoSQL database for operational purpose. Data and Query Model Persistence of Data and Design Eventual Consistency Scalability Though above all of the properties are interesting to have in any NoSQL database but the one which most attracts to me is Eventual Consistency. Eventual Consistency RDBMS uses ACID (Atomicity, Consistency, Isolation, Durability) as a key mechanism for ensuring the data consistency, whereas NonRelational DBMS uses BASE for the same purpose. Base stands for Basically Available, Soft state and Eventual consistency. Eventual consistency is widely deployed in distributed systems. It is a consistency model used in distributed computing which expects unexpected often. In large distributed system, there are always various nodes joining and various nodes being removed as they are often using commodity servers. This happens either intentionally or accidentally. Even though one or more nodes are down, it is expected that entire system still functions normally. Applications should be able to do various updates as well as retrieval of the data successfully without any issue. Additionally, this also means that system is expected to return the same updated data anytime from all the functioning nodes. Irrespective of when any node is joining the system, if it is marked to hold some data it should contain the same updated data eventually. As per Wikipedia - Eventual consistency is a consistency model used in distributed computing that informally guarantees that, if no new updates are made to a given data item, eventually all accesses to that item will return the last updated value. In other words -  Informally, if no additional updates are made to a given data item, all reads to that item will eventually return the same value. Tomorrow In tomorrow’s blog post we will discuss about various other Operational Databases supporting Big Data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Is RTD Stateless or Stateful?

  - by [email protected]

  Yes.   A stateless service is one where each request is an independent transaction that can be processed by any of the servers in a cluster.  A stateful service is one where state is kept in a server's memory from transaction to transaction, thus necessitating the proper routing of requests to the right server. The main advantage of stateless systems is simplicity of design. The main advantage of stateful systems is performance. I'm often asked whether RTD is a stateless or stateful service, so I wanted to clarify this issue in depth so that RTD's architecture will be properly understood. The short answer is: "RTD can be configured as a stateless or stateful service." The performance difference between stateless and stateful systems can be very significant, and while in a call center implementation it may be reasonable to use a pure stateless configuration, a web implementation that produces thousands of requests per second is practically impossible with a stateless configuration. RTD's performance is orders of magnitude better than most competing systems. RTD was architected from the ground up to achieve this performance. Features like automatic and dynamic compression of prediction models, automatic translation of metadata to machine code, lack of interpreted languages, and separation of model building from decisioning contribute to achieving this performance level. Because  of this focus on performance we decided to have RTD's default configuration work in a stateful manner. By being stateful RTD requests are typically handled in a few milliseconds when repeated requests come to the same session. Now, those readers that have participated in implementations of RTD know that RTD's architecture is also focused on reducing Total Cost of Ownership (TCO) with features like automatic model building, automatic time windows, automatic maintenance of database tables, automatic evaluation of data mining models, automatic management of models partitioned by channel, geography, etcetera, and hot swapping of configurations. How do you reconcile the need for a low TCO and the need for performance? How do you get the performance of a stateful system with the simplicity of a stateless system? The answer is that you make the system behave like a stateless system to the exterior, but you let it automatically take advantage of situations where being stateful is better. For example, one of the advantages of stateless systems is that you can route a message to any server in a cluster, without worrying about sending it to the same server that was handling the session in previous messages. With an RTD stateful configuration you can still route the message to any server in the cluster, so from the point of view of the configuration of other systems, it is the same as a stateless service. The difference though comes in performance, because if the message arrives to the right server, RTD can serve it without any external access to the session's state, thus tremendously reducing processing time. In typical implementations it is not rare to have high percentages of messages routed directly to the right server, while those that are not, are easily handled by forwarding the messages to the right server. This architecture usually provides the best of both worlds with performance and simplicity of configuration.   Configuring RTD as a pure stateless service A pure stateless configuration requires session data to be persisted at the end of handling each and every message and reloading that data at the beginning of handling any new message. This is of course, the root of the inefficiency of these configurations. This is also the reason why many "stateless" implementations actually do keep state to take advantage of a request coming back to the same server. Nevertheless, if the implementation requires a pure stateless decision service, this is easy to configure in RTD. The way to do it is: Mark every Integration Point to Close the session at the end of processing the message In the Session entity persist the session data on closing the session In the session entity check if a persisted version exists and load it An excellent solution for persisting the session data is Oracle Coherence, which provides a high performance, distributed cache that minimizes the performance impact of persisting and reloading the session. Alternatively, the session can be persisted to a local database. An interesting feature of the RTD stateless configuration is that it can cope with serializing concurrent requests for the same session. For example, if a web page produces two requests to the decision service, these requests could come concurrently to the decision services and be handled by different servers. Most stateless implementation would have the two requests step onto each other when saving the state, or fail one of the messages. When properly configured, RTD will make one message wait for the other before processing.   A Word on Context Using the context of a customer interaction typically significantly increases lift. For example, offer success in a call center could double if the context of the call is taken into account. For this reason, it is important to utilize the contextual information in decision making. To make the contextual information available throughout a session it needs to be persisted. When there is a well defined owner for the information then there is no problem because in case of a session restart, the information can be easily retrieved. If there is no official owner of the information, then RTD can be configured to persist this information.   Once again, RTD provides flexibility to ensure high performance when it is adequate to allow for some loss of state in the rare cases of server failure. For example, in a heavy use web site that serves 1000 pages per second the navigation history may be stored in the in memory session. In such sites it is typical that there is no OLTP that stores all the navigation events, therefore if an RTD server were to fail, it would be possible for the navigation to that point to be lost (note that a new session would be immediately established in one of the other servers). In most cases the loss of this navigation information would be acceptable as it would happen rarely. If it is desired to save this information, RTD would persist it every time the visitor navigates to a new page. Note that this practice is preferred whether RTD is configured in a stateless or stateful manner.  

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• GNU/Linux: Don't Call Them PC Viruses

  <b>The ERACC Web Log:</b> "The fact that malware are written primarily for PC systems is a given and is well reported in the news. The fact that malware are written primarily for Microsoft Windows based PC systems is often not reported."

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• WebCenter Customer Spotlight: Los Angeles Department of Water and Power

  - by me

  Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter  Solution Summary Los Angeles Department of Water and Power (LADWP) is the largest public utility company in the United States with over 1.6 million customers. LADWP provides water and power for millions of residential & commercial customers in Southern California. The goal of the project was to implement a newly designed web portal to increase customer self-service while reducing transactions via IVR and automate many of the paper based processes to web based workflows for their 1.6 million customers. LADWP implemented a Self Service Portal using Oracle WebCenter Portal & Oracle WebCenter Content and Oracle SOA Suite for the integration of their complex back-end systems infrastructure. The new portal has received extremely positive feedback from not only the customers and users of the portal, but also other utilities. At Oracle OpenWorld 2012, LADWP won the prestigious WebCenter innovation award for their innovative solution. Company OverviewLos Angeles Department of Water and Power (LADWP) is the largest public utility company in the United States with over 1.6 million customers. LADWP provides water and power for millions of residential & commercial customers in Southern California. LADWP also bills most of these customers for sanitation services provided by another department in the city of Los Angeles.  Business ChallengesThe goal of the project was to implement a newly designed web portal that is easy to navigate from a web browser and mobile devices, as well as be the platform for surfacing internet and intranet applications at LADWP. The primary objective of the new portal was to increase customer self-service while reducing the transactions via IVR and walk-up and to automate many of the paper based processes to web based workflows for customers. This includes automation of Self Service implemented through My Account (Bill Pay, Payment History, Bill History, Usage analysis, Service Request Management) Financial Assistance Programs Customer Rebate Programs Turn Off/Turn On/Transfer of Services Outage Reporting eNotification (SMS, email) Solution DeployedLADWP implemented a Self Service Portal using Oracle WebCenter Portal & Oracle WebCenter Content. Using Oracle SOA Suite they integrated various back-end systems including Oracle Siebel CRM IBM Mainframe based CIS FILENET for document management EBP Eletronic Bill Payment System HP Imprint System for BillXML data Other systems including outage reporting systems, SMS service, etc. The new portal’s features include: Complete Graphical redesign based on best practices in UI Design for high usability Customer Self Service implemented through MyAccount (Bill Pay, Payment History, Bill History, Usage Analysis, Service Request Management) Financial Assistance Programs (CRM, WebCenter) Customer Rebate Programs (CRM, WebCenter) Turn On/Off/Transfer of services (Commercial & Residential) Outage Reporting eNotification (SMS, email) Multilingual (English & Spanish) – using WebCenter multi-language support Section 508 (ADA) Compliant Search – Using WebCenter SES (Secured Enterprise Search) Distributed Authorship in WebCenter Content Mobile Access (any Mobile Browser) Business ResultsThe new portal has received extremely positive feedback from not only customers and users of the portal, but also other utilities. At Oracle OpenWorld 2012, LADWP won the prestigious WebCenter innovation award for their innovative solution. Additional Information LADWP OpenWorld presentation Oracle WebCenter Portal Oracle WebCenter Content Oracle SOA Suite

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• Oracle Leader in Transportation Management

  - by John Murphy

  Oracle Named a Leader in the Transportation Management Systems Market by Leading Analyst Firm Redwood Shores, Calif. – October 15, 2012 News Facts Gartner, Inc. has placed Oracle Transportation Management in the Leaders Quadrant of its 2012 report, “Magic Quadrant for Transportation Management Systems (TMS).” (1) Gartner Magic Quadrants position vendors within a particular market segment based on their completeness of vision and ability to execute on that vision. According to the report, “Multiple subcomponents make up a comprehensive TMS across planning (for example, load consolidation, routing, mode selection and carrier selection) and execution (for example, tendering loads to carriers, shipment track and trace, and freight audit and payment).” Built on modern, flexible, Internet based architecture, Oracle Transportation Management is a global transportation and logistics operations system that allows companies to minimize cost, optimize service levels, support sustainability initiatives, and create flexible business process automation within their transportation and logistics networks. With a share of 26% of worldwide software revenue for 2011, Oracle is also number one in TMS vendor share according to Gartner’s report, “Market Trends: A Golden Opportunity in the Transportation Management System Market, 2012 – 2016.” (2) Supporting Quote “Shippers and logistics service providers face increasingly complex challenges as they try to reduce costs, secure capacity and improve overall freight efficiency,” said Derek Gittoes, vice president, logistics product strategy, Oracle. “We believe our high standing in both Gartner reports is a reflection of Oracle’s commitment to addressing these challenges by delivering the industry’s broadest and deepest transportation management platform. With a flexible and modern platform, we are able to support customers with both basic transportation needs, as well as those with highly complex logistics requirements.” Supporting Resources Magic Quadrant for Transportation Management Systems Market Trends: A Golden Opportunity in the Transportation Management System Market, 2012 – 2016 Oracle Transportation Management (1) Gartner, Inc., “Magic Quadrant for Transportation Management Systems,” by C. Dwight Klappich, August 23, 2012 (2) Gartner, Inc., “Market Trends: A Golden Opportunity in the Transportation Management System Market, 2012 – 2016,” by Chad Eschinger and C. Dwight Klappich, September 24, 2012. About Oracle Applications Over 65,000 customers worldwide rely on Oracle's complete, open and integrated enterprise applications to achieve superior results. Oracle provides a secure path for customers to benefit from the latest technology advances that improve the customer software experience and drive better business performance. Oracle Applications Unlimited is Oracle's commitment to customer choice through continuous investment and innovation in current applications offerings. Oracle's next-generation Fusion Applications build upon that commitment, and are designed to work with and evolve Oracle's Applications Unlimited offerings. Oracle's lifetime support policy helps ensure customers will continue to have a choice in upgrade paths, based on their enterprise needs. For more information on the latest Oracle Applications releases go towww.oracle.com/applications About Oracle Oracle engineers hardware and software to work together in the cloud and in your data center. For more information about Oracle (NASDAQ:ORCL), visit www.oracle.com. Trademarks Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. ###   Karen [email protected] Simon JonesBlanc & [email protected]

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• Windows Azure Recipe: Big Data

  - by Clint Edmonson

  As the name implies, what we’re talking about here is the explosion of electronic data that comes from huge volumes of transactions, devices, and sensors being captured by businesses today. This data often comes in unstructured formats and/or too fast for us to effectively process in real time. Collectively, we call these the 4 big data V’s: Volume, Velocity, Variety, and Variability. These qualities make this type of data best managed by NoSQL systems like Hadoop, rather than by conventional Relational Database Management System (RDBMS). We know that there are patterns hidden inside this data that might provide competitive insight into market trends.  The key is knowing when and how to leverage these “No SQL” tools combined with traditional business such as SQL-based relational databases and warehouses and other business intelligence tools. Drivers Petabyte scale data collection and storage Business intelligence and insight Solution The sketch below shows one of many big data solutions using Hadoop’s unique highly scalable storage and parallel processing capabilities combined with Microsoft Office’s Business Intelligence Components to access the data in the cluster. Ingredients Hadoop – this big data industry heavyweight provides both large scale data storage infrastructure and a highly parallelized map-reduce processing engine to crunch through the data efficiently. Here are the key pieces of the environment: Pig - a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. Mahout - a machine learning library with algorithms for clustering, classification and batch based collaborative filtering that are implemented on top of Apache Hadoop using the map/reduce paradigm. Hive - data warehouse software built on top of Apache Hadoop that facilitates querying and managing large datasets residing in distributed storage. Directly accessible to Microsoft Office and other consumers via add-ins and the Hive ODBC data driver. Pegasus - a Peta-scale graph mining system that runs in parallel, distributed manner on top of Hadoop and that provides algorithms for important graph mining tasks such as Degree, PageRank, Random Walk with Restart (RWR), Radius, and Connected Components. Sqoop - a tool designed for efficiently transferring bulk data between Apache Hadoop and structured data stores such as relational databases. Flume - a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large log data amounts to HDFS. Database – directly accessible to Hadoop via the Sqoop based Microsoft SQL Server Connector for Apache Hadoop, data can be efficiently transferred to traditional relational data stores for replication, reporting, or other needs. Reporting – provides easily consumable reporting when combined with a database being fed from the Hadoop environment. Training These links point to online Windows Azure training labs where you can learn more about the individual ingredients described above. Hadoop Learning Resources (20+ tutorials and labs) Huge collection of resources for learning about all aspects of Apache Hadoop-based development on Windows Azure and the Hadoop and Windows Azure Ecosystems SQL Azure (7 labs) Microsoft SQL Azure delivers on the Microsoft Data Platform vision of extending the SQL Server capabilities to the cloud as web-based services, enabling you to store structured, semi-structured, and unstructured data. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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• TG'10 Conference Set

  Meeting of the nation's largest and most-comprehensive distributed cyberinfrastructure for open scientific research will take place August 2-5 Research - Computer Science - Cyberinfrastructure - National Science Foundation - Organizations

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• TG'10 Conference Set

  Meeting of the nation's largest and most-comprehensive distributed cyberinfrastructure for open scientific research will take place August 2-5 Research - Computer Science - Cyberinfrastructure - National Science Foundation - Organizations

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• When clientTransferProhibited is off to transfer a domain name, couldn't the name be stolen?

  - by Cedric Martin

  I'd like to transfer a domain from one registrar (Key-systems) to another registrar (OVH). I don't really understand the procedure and I'm a bit confused... I read everywhere that clientTransferProhibited prevents people from stealing your domain name. Now apparently during the course of transferring my domain from Key-systems to OVH, I'll to change clientTransferProhibited so that the transfer is allowed. Wouldn't my domain then become "stealable" during some amount of time? (a few hours / days / week)

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• CIO's Corner: Achieving a Balance

  - by Michelle Kimihira

  Author: Rick Beers Senior Director, Product Management, Oracle Fusion Middleware All too often, a CIO is unfairly characterized as either technology-focused or business-focused; as more concerned with either infrastructure performance or business excellence. It seems to me that this completely misses the point. I have long thought that a CIO has probably the most complex C-level position in an enterprise, one that requires an artful balance among four entirely different constituencies, often with competing values and needs. How a CIO balances these is the single largest determinant of success. I was reminded of this while reading the excellent interview of Mark Hurd by CNBC’s Maria Bartiromo in a recent issue of USATODAY (Bartiromo: Oracle's Hurd is in tech sweet spot). The interview covers topics such as Big Data, Leadership and Oracle’s growth strategy. But the topic that really got my interest, and reminded me of the need for balance, was on IT spending trends, in which Mark Hurd observed, “…budgets are tight. What most of our customers have today is both an austerity plan to save money and at the same time a plan to reapply that money to innovation. There isn't a customer we have that doesn't have an austerity plan and an innovation plan.” In an era of economic uncertainty, and an accelerating pace of business change, this is probably the toughest balance a CIO must achieve. Yet for far too many IT organizations, operating costs consume over 75% of their budgets, leaving precious little for innovation and investment in business-critical technology programs. I have found that many CIO’s are trapped by their enterprise systems platforms, which were originally architected for Standardization, Compliance and tightly integrated linear Workflows. Yes, these traits are still required for specific reasons and cannot be compromised. But they are no longer enough. New demands are emerging: the explosion in the volume and diversity of Data, the Consumerization of IT, the rise of Social Media, and the need for continual Business Process Reengineering. These were simply not the design criteria for Enterprise 1.0 and attempting to leverage them with current systems platforms results in an escalation in complexity and a resulting increase in operating costs for many IT organizations. This is the cost vs investment trap and what most constrains CIO’s from achieving the balance they need. But there is a way out of this trap. Enterprise 2.0 represents an entirely new enterprise systems architecture, one that is ‘Business-Centric’ rather than ‘ERP Centric’, which defined the architecture of Enterprise 1.0. Oracle’s best in class suite of Fusion Middleware Products enables a layered approach to enterprise systems architectures that provides the balance that an enterprise needs. The most exciting part of all this? The bottom two layers are focused upon reducing costs and the upper two layers provide business value and innovation. Finally, the Balance a CIO needs.  Additional Information Product Information on Oracle.com: Oracle Fusion Middleware Follow us on Twitter and Facebook Subscribe to our regular Fusion Middleware Newsletter

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• Fetching Latitude and Longitude Co-ordinates for Addresses using PowerShell

  - by Rob Farley

  Regular readers of my blog (at sqlblog.com – please let me know if you’re reading this elsewhere) may be aware that I’ve been doing more and more with spatial data recently. With the now-available SQL Server 2008 R2 Reporting Services including maps, it’s a topic that interests many people. Interestingly though, although many people have plenty of addresses in their various databases (whether they be CRM systems, HR systems or whatever), my experience shows that many people do not store the latitude...(read more)

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