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  • Recording Available - Features and Functions Payments Module

    - by MHundal
    The Payments Module recording provides a high-level overview of Payments Processing in ETPM.  The recording discusses the Payments Data Model, including Payment Events, Tenders, Tender Control, Deposit and Deposit Control.  In addition, there is a product demonstration of payment processing in the system. Payments Module Overview:  https://oracletalk.webex.com/oracletalk/ldr.php?AT=pb&SP=MC&rID=67364002&rKey=9fe755e4f41a2d4d

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  • The Benefits of JD Edwards Latest Product Version

    During this session, Fred speaks with World customer Dave Hyzy, Director of IT for Benderon Development and John Schiff, VP and GM for JD Edwards World about how the first new major release for World in almost 10 years will be significant component to the future roadmap of the product, how the merger with Oracle has positively effected them, and how Oracle continues to have the best interests of its customers at heart.

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  • Stream Insight product team come to London

    - by simonsabin
    The Stream Insight team (one of the new features in SQL Server 2008 R2) is coming to London and will be presenting at a SQL Social event on the 9th June. For more details go to the website http://sqlsocial.com/Events.aspx Places are restricted so please register quick if you want to attend. Microsoft will also be announcing a $10,000 competition whilst they are here so make sure you come along especially if you work in banking. For more details go to http://sqlsocial.com/Events.aspx...(read more)

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  • C# 4.0 New Features

    New features on c# 4.0 1. Dynamic Typed Objects 2. Optional and Named Parameters 3. Improved COM Interoperability 4. Co- and Contra-Variance

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  • New Features in DNM 01.20.00 for DotNetNuke

    In this tutorial we look at the new features of DNM RAD and walk you through how to create a new data source, creating a linked table, creating a direct query and we preview the new color coded editor in DNM RAD 1.2 for DotNetNuke.Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • New Spatial Features in SQL Server Code-Named 'Denali'

    SQL Server 2008 introduced spatial data support into the database server. This paper describes and discusses the new spatial features in SQL Server Code-Named “Denali” CTP1 and CTP3 that augment existing SQL Server 2008 and SQL Server 2008 R2 spatial functionality. The Future of SQL Server MonitoringMonitor wherever, whenever with Red Gate's SQL Monitor. See it live in action now.

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  • Parallel Computing Features Tour in VS2010

    Just realized that I have not linked from here to a screencast I recorded a couple weeks ago that shows the API, parallel debugger and concurrency visualizer in VS2010. Take a few minutes to watch the VS2010 Parallel Computing Features Tour. Comments about this post welcome at the original blog.

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  • Beef up Firefox Privacy Features

    <b>Linux Magazine: </b>"Whether you want it or not, your Web activities are tracked and analyzed in many different ways. There are a few handy Firefox extensions that can beef up your favorite browser's privacy features."

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  • Quick introduction to the Web Load Test features of Visual Studio 2010

    any developers are not even aware that you can set up and run some very sophisticated web load tests for an ASP.NET Application right from within Visual Studio. This article provides a quick introduction to the Web Load Test features of Visual Studio 2010.  read moreBy Peter BrombergDid you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • HTG Explains: Should You Buy Extended Warranties?

    - by Chris Hoffman
    Buy something at an electronics store and you’ll be confronted by a pushy salesperson who insists you need an extended warranty. You’ll also see extended warranties pushed hard when shopping online. But are they worth it? There’s a reason stores push extended warranties so hard. They’re almost always pure profit for the store involved. An electronics store may live on razor-thin product margins and make big profits on extended warranties and overpriced HDMI cables. You’re Already Getting Multiple Warranties First, back up. The product you’re buying already includes a warranty. In fact, you’re probably getting several different types of warranties. Store Return and Exchange: Most electronics stores allow you to return a malfunctioning product within the first 15 or 30 days and they’ll provide you with a new one. The exact period of time will vary from store to store. If you walk out of the store with a defective product and have to swap it for a new one within the first few weeks, this should be easy. Manufacturer Warranty: A device’s manufacturer — whether the device is a laptop, a television, or a graphics card — offers their own warranty period. The manufacturer warranty covers you after the store refuses to take the product back and exchange it. The length of this warranty depends on the type of product. For example, a cheap laptop may only offer a one-year manufacturer warranty, while a more expensive laptop may offer a two-year warranty. Credit Card Warranty Extension: Many credit cards offer free extended warranties on products you buy with that credit card. Credit card companies will often give you an additional year of warranty. For example, if you buy a laptop with a two year warranty and it fails in the third year, you could then contact your credit card company and they’d cover the cost of fixing or replacing it. Check your credit card’s benefits and fine print for more information. Why Extended Warranties Are Bad You’re already getting a fairly long warranty period, especially if you have a credit card that offers you a free extended warranty — these are fairly common. If the product you get is a “lemon” and has a manufacturing error, it will likely fail pretty soon — well within your warranty period. The extended warranty matters after all your other warranties are exhausted. In the case of a laptop with a two-year warranty that you purchase with a credit card giving you a one-year warranty extension, your extended warranty will kick in three years after you purchase the laptop. In that many years, your current laptop will likely feel pretty old and laptops that are as good — or better — will likely be pretty cheap. If it’s a television, better television displays will be available at a lower price point. You’ll either want to upgrade to a newer model or you’ll be able to buy a new, just-as-good product for very cheap. You’ll only have to pay out-of-pocket if your device fails after the normal warranty period — in over two or three years for typical laptops purchased with a decent credit card. Save the money you would have spent on the warranty and put it towards a future upgrade. How Much Do Extended Warranties Cost? Let’s look at an example from a typical pushy retail outlet, Best Buy. We went to Best Buy’s website and found a pretty standard $600 Samsung laptop. This laptop comes with a one-year warranty period. If purchased with a fairly common credit card, you can easily get a two-year warranty period on this laptop without spending an additional penny. (Yes, such credit cards are available with no yearly fees.) During the check-out process, Best Buy tries to sell you a Geek Squad “Accidental Protection Plan.” To get an additional year of Best Buy’s extended warranty, you’d have to pay $324.98 for a “3-Year Accidental Protection Plan”. You’d basically be paying more than half the price of your laptop for an additional year of warranty — remember, the standard warranties would cover you anyway for the first two years. If this laptop did break sometime between two and three years from now, we wouldn’t be surprised if you could purchase a comparable laptop for about $325 anyway. And, if you don’t need to replace it, you’ve saved that money. Best Buy would object that this isn’t a standard extended warranty. It’s a supercharged warranty plan that will also provide coverage if you spill something on your laptop or drop it and break it. You just have to ask yourself a question. What are the odds that you’ll drop your laptop or spill something on it? They’re probably pretty low if you’re a typical human being. Is it worth spending more than half the price of the laptop just in case you’ll make an uncommon mistake? Probably not. There may be occasional exceptions to this — some Apple users swear by Apple’s AppleCare, for example — but you should generally avoid buying these things. There’s a reason stores are so pushy about extended warranties, and it’s not because they want to help protect you. It’s because they’re making lots of profit from these plans, and they’re making so much profit because they’re not a good deal for customers. Image Credit: Philip Taylor on Flickr     

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  • New Big Data Appliance Security Features

    - by mgubar
    The Oracle Big Data Appliance (BDA) is an engineered system for big data processing.  It greatly simplifies the deployment of an optimized Hadoop Cluster – whether that cluster is used for batch or real-time processing.  The vast majority of BDA customers are integrating the appliance with their Oracle Databases and they have certain expectations – especially around security.  Oracle Database customers have benefited from a rich set of security features:  encryption, redaction, data masking, database firewall, label based access control – and much, much more.  They want similar capabilities with their Hadoop cluster.    Unfortunately, Hadoop wasn’t developed with security in mind.  By default, a Hadoop cluster is insecure – the antithesis of an Oracle Database.  Some critical security features have been implemented – but even those capabilities are arduous to setup and configure.  Oracle believes that a key element of an optimized appliance is that its data should be secure.  Therefore, by default the BDA delivers the “AAA of security”: authentication, authorization and auditing. Security Starts at Authentication A successful security strategy is predicated on strong authentication – for both users and software services.  Consider the default configuration for a newly installed Oracle Database; it’s been a long time since you had a legitimate chance at accessing the database using the credentials “system/manager” or “scott/tiger”.  The default Oracle Database policy is to lock accounts thereby restricting access; administrators must consciously grant access to users. Default Authentication in Hadoop By default, a Hadoop cluster fails the authentication test. For example, it is easy for a malicious user to masquerade as any other user on the system.  Consider the following scenario that illustrates how a user can access any data on a Hadoop cluster by masquerading as a more privileged user.  In our scenario, the Hadoop cluster contains sensitive salary information in the file /user/hrdata/salaries.txt.  When logged in as the hr user, you can see the following files.  Notice, we’re using the Hadoop command line utilities for accessing the data: $ hadoop fs -ls /user/hrdataFound 1 items-rw-r--r--   1 oracle supergroup         70 2013-10-31 10:38 /user/hrdata/salaries.txt$ hadoop fs -cat /user/hrdata/salaries.txtTom Brady,11000000Tom Hanks,5000000Bob Smith,250000Oprah,300000000 User DrEvil has access to the cluster – and can see that there is an interesting folder called “hrdata”.  $ hadoop fs -ls /user Found 1 items drwx------   - hr supergroup          0 2013-10-31 10:38 /user/hrdata However, DrEvil cannot view the contents of the folder due to lack of access privileges: $ hadoop fs -ls /user/hrdata ls: Permission denied: user=drevil, access=READ_EXECUTE, inode="/user/hrdata":oracle:supergroup:drwx------ Accessing this data will not be a problem for DrEvil. He knows that the hr user owns the data by looking at the folder’s ACLs. To overcome this challenge, he will simply masquerade as the hr user. On his local machine, he adds the hr user, assigns that user a password, and then accesses the data on the Hadoop cluster: $ sudo useradd hr $ sudo passwd $ su hr $ hadoop fs -cat /user/hrdata/salaries.txt Tom Brady,11000000 Tom Hanks,5000000 Bob Smith,250000 Oprah,300000000 Hadoop has not authenticated the user; it trusts that the identity that has been presented is indeed the hr user. Therefore, sensitive data has been easily compromised. Clearly, the default security policy is inappropriate and dangerous to many organizations storing critical data in HDFS. Big Data Appliance Provides Secure Authentication The BDA provides secure authentication to the Hadoop cluster by default – preventing the type of masquerading described above. It accomplishes this thru Kerberos integration. Figure 1: Kerberos Integration The Key Distribution Center (KDC) is a server that has two components: an authentication server and a ticket granting service. The authentication server validates the identity of the user and service. Once authenticated, a client must request a ticket from the ticket granting service – allowing it to access the BDA’s NameNode, JobTracker, etc. At installation, you simply point the BDA to an external KDC or automatically install a highly available KDC on the BDA itself. Kerberos will then provide strong authentication for not just the end user – but also for important Hadoop services running on the appliance. You can now guarantee that users are who they claim to be – and rogue services (like fake data nodes) are not added to the system. It is common for organizations to want to leverage existing LDAP servers for common user and group management. Kerberos integrates with LDAP servers – allowing the principals and encryption keys to be stored in the common repository. This simplifies the deployment and administration of the secure environment. Authorize Access to Sensitive Data Kerberos-based authentication ensures secure access to the system and the establishment of a trusted identity – a prerequisite for any authorization scheme. Once this identity is established, you need to authorize access to the data. HDFS will authorize access to files using ACLs with the authorization specification applied using classic Linux-style commands like chmod and chown (e.g. hadoop fs -chown oracle:oracle /user/hrdata changes the ownership of the /user/hrdata folder to oracle). Authorization is applied at the user or group level – utilizing group membership found in the Linux environment (i.e. /etc/group) or in the LDAP server. For SQL-based data stores – like Hive and Impala – finer grained access control is required. Access to databases, tables, columns, etc. must be controlled. And, you want to leverage roles to facilitate administration. Apache Sentry is a new project that delivers fine grained access control; both Cloudera and Oracle are the project’s founding members. Sentry satisfies the following three authorization requirements: Secure Authorization:  the ability to control access to data and/or privileges on data for authenticated users. Fine-Grained Authorization:  the ability to give users access to a subset of the data (e.g. column) in a database Role-Based Authorization:  the ability to create/apply template-based privileges based on functional roles. With Sentry, “all”, “select” or “insert” privileges are granted to an object. The descendants of that object automatically inherit that privilege. A collection of privileges across many objects may be aggregated into a role – and users/groups are then assigned that role. This leads to simplified administration of security across the system. Figure 2: Object Hierarchy – granting a privilege on the database object will be inherited by its tables and views. Sentry is currently used by both Hive and Impala – but it is a framework that other data sources can leverage when offering fine-grained authorization. For example, one can expect Sentry to deliver authorization capabilities to Cloudera Search in the near future. Audit Hadoop Cluster Activity Auditing is a critical component to a secure system and is oftentimes required for SOX, PCI and other regulations. The BDA integrates with Oracle Audit Vault and Database Firewall – tracking different types of activity taking place on the cluster: Figure 3: Monitored Hadoop services. At the lowest level, every operation that accesses data in HDFS is captured. The HDFS audit log identifies the user who accessed the file, the time that file was accessed, the type of access (read, write, delete, list, etc.) and whether or not that file access was successful. The other auditing features include: MapReduce:  correlate the MapReduce job that accessed the file Oozie:  describes who ran what as part of a workflow Hive:  captures changes were made to the Hive metadata The audit data is captured in the Audit Vault Server – which integrates audit activity from a variety of sources, adding databases (Oracle, DB2, SQL Server) and operating systems to activity from the BDA. Figure 4: Consolidated audit data across the enterprise.  Once the data is in the Audit Vault server, you can leverage a rich set of prebuilt and custom reports to monitor all the activity in the enterprise. In addition, alerts may be defined to trigger violations of audit policies. Conclusion Security cannot be considered an afterthought in big data deployments. Across most organizations, Hadoop is managing sensitive data that must be protected; it is not simply crunching publicly available information used for search applications. The BDA provides a strong security foundation – ensuring users are only allowed to view authorized data and that data access is audited in a consolidated framework.

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  • Math Question: Is it possible to calculate the row position as you loop through a cartesian product

    - by Kuyenda
    Is it possible to calculate the row position in the cartesian product of two arrays? For example if you have one array of two rows and another of three rows it's easy to calculate the size of the cartesian product (Array1.Rows.Count * Array2.Rows.Count = 6), but you can't iterate through each array and just use the product of the respective row positions to calculate the row position in the cartesian product. Array1.Row * Array2.Row 1 * 1 = 1 1 * 2 = 2 2 * 1 = 2 2 * 2 = 4 3 * 1 = 3 3 * 2 = 6 Is there a formula to obtain the result 1, 2, 3, 4, 5, 6 from Array1.Row and Array2.Row as you iterate through them in the following fashion: For 1 To Array1.Rows.Count For 1 To Array2.Rows.Count 'some formula here to get cartesian row position' Next Array2.Row Next Array1.Row Thanks!

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  • A company that had a successful product but went bust for not innovating?

    - by Dan
    At the company that I work we have a successful software product that did well but is now obsolete and unmaintainable. I am trying to explain that you need to innovate and replace this product with new offering in order to survive. I am looking for some good examples of companies that made the mistake that we are close to making - relying on one successful product way over it's normal lifetime, so I could use it as illustration when making an argument. These products need not be software, emblematic cases that illustrate well this situation but where product was not software are also appreciated.

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  • JDeveloper 11g R1 (11.1.1.4.0) - New Features on ADF Desktop Integration Explained

    - by juan.ruiz
    One of the areas that introduced many new features on the latest release (11.1.1.4.0)  of JDeveloper 11g R1 is ADF Desktop integration - in this article I’ll provide an overview of these new features. New ADF Desktop Integration Ribbon in Excel - After installing the ADF desktop integration add-in and depending on the mode in which you open the desktop integration workbook, the ADF Desktop integration ribbon for design time and runtime are displayed as a separate tab within Excel. In previous version the ADF Desktop integration environment used to be placed inside the add-ins tab. Above you can see both, design time ribbon as well as runtime ribbon. On the design time ribbon you can manage the workbook and worksheet properties, worksheet component properties, diagnostics, execution and publication of the workbook. The runtime version of the ribbon is totally customizable and represents what it used to be the runtime menu on the spreadsheet, in this ribbon you can include all the operations and actions that could be executed by the end user while working with the spreadsheet data. Diagnostics - A very important aspect for developers is how to debug or verify the interactions of the client with the server, for that ADF desktop integration has provided since day one a series of diagnostics tools. In this release the diagnostics tools are more visible and are really easy to configure. You can access the client console while testing the workbook, or you can simple dump all the messages to a log file – having the ability of setting the output level for both. Security - There are a number of enhancements on security but the one with more impact for developers is tha security now is optional when using ADF Desktop Integration. Until this version every time that you wanted to work with ADFdi it was a must that the application was previously secured. In this release security is optional which means that if you have previously defined security on your application, then you must secure the ADFdi servlet as explained in one of my previous (ADD LINK) posts. In the other hand, if but the time that you start working with ADFdi you have not defined security, you can test and publish your workbooks without adding security. Support for Continuous Integration - In this release we have added tooling for continuous integration building. in the ADF desktop integration space, the concept translates to adding functionality that developers can use to publish ADFdi workbooks as part of their entire application build. For that purpose, we have a publish tool that can be easily invoke from an ANT task such that all the design time workbooks are re-published into the latest version of the application building process. Key Column - At runtime, on any worksheet containing editable tables you will notice a new additional column called the key column. The purpose of this column is to make the end user aware that all rows on the table need to be selected at the time of sorting. The users cannot alter the value of this column. From the developers points of view there are no steps required in order to have the key column included into the worksheets. Installation and Creation of New Workbooks - Both use cases can be executed now directly from JDeveloper. As part of the Tools menu options the developer can install the ADF desktop integration designer. Also, creating new workbooks that previously was done through that convert tool shipped with JDeveloper is now automatic done from the New Gallery. Creating a new ADFdi workbook adds metadata information information to the Excel workbook so you can work in design time. Other Enhancements Support for Excel 2010 and the ADF components ready-only enabled don’t allow to change its value – the cell in Excel is automatically protected, this could cause confusion among customers of previous releases.

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  • Framework 4 Features: Login Id Support

    - by Anthony Shorten
    Given that Oracle Utilities Application Framework 4 is available as part of Mobile Work Force Management and other product progressively I am preparing a number of short but sweet blog entries highlighting some of the new functionality that has been implemented. This is the first entry and it is on a new security feature called Login Id. In past releases of the Oracle Utilities Application Framework, the userid used for authentication and authorization was limited to eight (8) characters in length. This mirrored what the market required in the past with LAN userids and even legacy userids being that length. The technology market has since progressed to longer userid lengths. It is very common to hear that email addresses are being used as credentials for production systems. To achieve this in past versions of the Oracle Utilities Application Framework, sites had to introduce a short userid (8 characters in length) as an alias in your preferred security store. You then configured your J2EE Web Application Server to use the alias as credentials. This sometimes was a standard feaure of the security store and/or the J2EE Web Application Server, if you were lucky. If not, some java code has to be written to implement the solution. In Oracle Utilities Application Framework 4 we introduced a new attribute on the user object called Login Id. The Login Id can be up to 256 characters in length and is an alternative to the existing userid stored on the user object. This means the Oracle Utilities Application Framework can support both long and short userids. For backward compatibility we use the Login Id for authentication but the short userid for authorization and auditing. The user object within the Oracle Utilities Application Framework holds the translation. Backward compatibility is always a consideration in any of our designs for future or changed functionality. You will see reference to this fact in the blog entries I will be composing over the next few months. We have also thought about the flexibility in implementing this feature. The Login Id can be the same value of the Userid (the default for backward compatibility) or can be different. Both the Login Id and Userid have to be unique. This avoids sharing of credentials and is also backward compatible. You can manually enter the Login Id or provision it from Oracle Identity Manager (or other tool). If you use the Login Id only, then we will not autogenerate a short userid automatically as the rules for this can vary from site to site. You have a number of options there. Most Identity provisioning tools can generate a short userid at user creation time and this can be used. If you do not use provisioning tools, then you can write a class extension using the SDK to autoegenerate the userid based upon your sites preference. When we designed the feature there were lots of styles of generating userids (random, initial and surname, numbers etc). We could not really see a clear winner in that respect so we just allowed the extension to be inserted in if necessary. Most customers indicated to us that identity provisioning was the preferred way. This is why we released an Oracle Identity Manager integration with the framework. The Login id is case sensitive now which was not supported under userid. The introduction of the Login Id allows the product to offer flexible options when configuring security whilst maintaining backward compatibility.

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  • How to Fix “Error occurred in deployment step ‘Activate Features’: System.TimeoutException:”

    - by ybbest
    Problem: When deploying a SharePoint2013 workflow using Visual Studio, I got the following Error: Error occurred in deployment step ‘Activate Features’: System.TimeoutException: The HTTP request has timed out after 20000 milliseconds. —> System.Net.WebException: The request was aborted: The request was canceled. at System.Net.HttpWebRequest.EndGetResponse(IAsyncResult asyncResult) at Microsoft.Workflow.Client.HttpGetResponseAsyncResult`1.OnGotResponse(IAsyncResult result) — End of inner exception stack trace — at Microsoft.Workflow.Common.AsyncResult.End[TAsyncResult](IAsyncResult result) at Microsoft.Workflow.Client.Ht Analysis: After reading AC’s blogpost and I find out the issue is to do with the service bus. Then I found out the following services are not started Solution: So I start the Service Bus Gateway and Service Bus Message Broker and the problem goes away. References: SharePoint 2013 Workflow – Advanced Workflow Debugging with Fiddler

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