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  • Error "Input length must be multiple of 8 when decrypting with padded cipher"

    - by Ross Peoples
    I am trying to move a project from C# to Java for a learning exercise. I am still very new to Java, but I have a TripleDES class in C# that encrypts strings and returns a string value of the encrypted byte array. Here is my C# code: using System; using System.IO; using System.Collections.Generic; using System.Security.Cryptography; using System.Text; namespace tDocc.Classes { /// <summary> /// Triple DES encryption class /// </summary> public static class TripleDES { private static byte[] key = { 110, 32, 73, 24, 125, 66, 75, 18, 79, 150, 211, 122, 213, 14, 156, 136, 171, 218, 119, 240, 81, 142, 23, 4 }; private static byte[] iv = { 25, 117, 68, 23, 99, 78, 231, 219 }; /// <summary> /// Encrypt a string to an encrypted byte array /// </summary> /// <param name="plainText">Text to encrypt</param> /// <returns>Encrypted byte array</returns> public static byte[] Encrypt(string plainText) { UTF8Encoding utf8encoder = new UTF8Encoding(); byte[] inputInBytes = utf8encoder.GetBytes(plainText); TripleDESCryptoServiceProvider tdesProvider = new TripleDESCryptoServiceProvider(); ICryptoTransform cryptoTransform = tdesProvider.CreateEncryptor(key, iv); MemoryStream encryptedStream = new MemoryStream(); CryptoStream cryptStream = new CryptoStream(encryptedStream, cryptoTransform, CryptoStreamMode.Write); cryptStream.Write(inputInBytes, 0, inputInBytes.Length); cryptStream.FlushFinalBlock(); encryptedStream.Position = 0; byte[] result = new byte[encryptedStream.Length]; encryptedStream.Read(result, 0, (int)encryptedStream.Length); cryptStream.Close(); return result; } /// <summary> /// Decrypt a byte array to a string /// </summary> /// <param name="inputInBytes">Encrypted byte array</param> /// <returns>Decrypted string</returns> public static string Decrypt(byte[] inputInBytes) { UTF8Encoding utf8encoder = new UTF8Encoding(); TripleDESCryptoServiceProvider tdesProvider = new TripleDESCryptoServiceProvider(); ICryptoTransform cryptoTransform = tdesProvider.CreateDecryptor(key, iv); MemoryStream decryptedStream = new MemoryStream(); CryptoStream cryptStream = new CryptoStream(decryptedStream, cryptoTransform, CryptoStreamMode.Write); cryptStream.Write(inputInBytes, 0, inputInBytes.Length); cryptStream.FlushFinalBlock(); decryptedStream.Position = 0; byte[] result = new byte[decryptedStream.Length]; decryptedStream.Read(result, 0, (int)decryptedStream.Length); cryptStream.Close(); UTF8Encoding myutf = new UTF8Encoding(); return myutf.GetString(result); } /// <summary> /// Decrypt an encrypted string /// </summary> /// <param name="text">Encrypted text</param> /// <returns>Decrypted string</returns> public static string DecryptText(string text) { if (text == "") { return text; } return Decrypt(Convert.FromBase64String(text)); } /// <summary> /// Encrypt a string /// </summary> /// <param name="text">Unencrypted text</param> /// <returns>Encrypted string</returns> public static string EncryptText(string text) { if (text == "") { return text; } return Convert.ToBase64String(Encrypt(text)); } } /// <summary> /// Random number generator /// </summary> public static class RandomGenerator { /// <summary> /// Generate random number /// </summary> /// <param name="length">Number of randomizations</param> /// <returns>Random number</returns> public static int GenerateNumber(int length) { byte[] randomSeq = new byte[length]; new RNGCryptoServiceProvider().GetBytes(randomSeq); int code = Environment.TickCount; foreach (byte b in randomSeq) { code += (int)b; } return code; } } /// <summary> /// Hash generator class /// </summary> public static class Hasher { /// <summary> /// Hash type /// </summary> public enum eHashType { /// <summary> /// MD5 hash. Quick but collisions are more likely. This should not be used for anything important /// </summary> MD5 = 0, /// <summary> /// SHA1 hash. Quick and secure. This is a popular method for hashing passwords /// </summary> SHA1 = 1, /// <summary> /// SHA256 hash. Slower than SHA1, but more secure. Used for encryption keys /// </summary> SHA256 = 2, /// <summary> /// SHA348 hash. Even slower than SHA256, but offers more security /// </summary> SHA348 = 3, /// <summary> /// SHA512 hash. Slowest but most secure. Probably overkill for most applications /// </summary> SHA512 = 4, /// <summary> /// Derrived from MD5, but only returns 12 digits /// </summary> Digit12 = 5 } /// <summary> /// Hashes text using a specific hashing method /// </summary> /// <param name="text">Input text</param> /// <param name="hash">Hash method</param> /// <returns>Hashed text</returns> public static string GetHash(string text, eHashType hash) { if (text == "") { return text; } if (hash == eHashType.MD5) { MD5CryptoServiceProvider hasher = new MD5CryptoServiceProvider(); return ByteToHex(hasher.ComputeHash(Encoding.ASCII.GetBytes(text))); } else if (hash == eHashType.SHA1) { SHA1Managed hasher = new SHA1Managed(); return ByteToHex(hasher.ComputeHash(Encoding.ASCII.GetBytes(text))); } else if (hash == eHashType.SHA256) { SHA256Managed hasher = new SHA256Managed(); return ByteToHex(hasher.ComputeHash(Encoding.ASCII.GetBytes(text))); } else if (hash == eHashType.SHA348) { SHA384Managed hasher = new SHA384Managed(); return ByteToHex(hasher.ComputeHash(Encoding.ASCII.GetBytes(text))); } else if (hash == eHashType.SHA512) { SHA512Managed hasher = new SHA512Managed(); return ByteToHex(hasher.ComputeHash(Encoding.ASCII.GetBytes(text))); } else if (hash == eHashType.Digit12) { MD5CryptoServiceProvider hasher = new MD5CryptoServiceProvider(); string newHash = ByteToHex(hasher.ComputeHash(Encoding.ASCII.GetBytes(text))); return newHash.Substring(0, 12); } return ""; } /// <summary> /// Generates a hash based on a file's contents. Used for detecting changes to a file and testing for duplicate files /// </summary> /// <param name="info">FileInfo object for the file to be hashed</param> /// <param name="hash">Hash method</param> /// <returns>Hash string representing the contents of the file</returns> public static string GetHash(FileInfo info, eHashType hash) { FileStream hashStream = new FileStream(info.FullName, FileMode.Open, FileAccess.Read); string hashString = ""; if (hash == eHashType.MD5) { MD5CryptoServiceProvider hasher = new MD5CryptoServiceProvider(); hashString = ByteToHex(hasher.ComputeHash(hashStream)); } else if (hash == eHashType.SHA1) { SHA1Managed hasher = new SHA1Managed(); hashString = ByteToHex(hasher.ComputeHash(hashStream)); } else if (hash == eHashType.SHA256) { SHA256Managed hasher = new SHA256Managed(); hashString = ByteToHex(hasher.ComputeHash(hashStream)); } else if (hash == eHashType.SHA348) { SHA384Managed hasher = new SHA384Managed(); hashString = ByteToHex(hasher.ComputeHash(hashStream)); } else if (hash == eHashType.SHA512) { SHA512Managed hasher = new SHA512Managed(); hashString = ByteToHex(hasher.ComputeHash(hashStream)); } hashStream.Close(); hashStream.Dispose(); hashStream = null; return hashString; } /// <summary> /// Converts a byte array to a hex string /// </summary> /// <param name="data">Byte array</param> /// <returns>Hex string</returns> public static string ByteToHex(byte[] data) { StringBuilder builder = new StringBuilder(); foreach (byte hashByte in data) { builder.Append(string.Format("{0:X1}", hashByte)); } return builder.ToString(); } /// <summary> /// Converts a hex string to a byte array /// </summary> /// <param name="hexString">Hex string</param> /// <returns>Byte array</returns> public static byte[] HexToByte(string hexString) { byte[] returnBytes = new byte[hexString.Length / 2]; for (int i = 0; i <= returnBytes.Length - 1; i++) { returnBytes[i] = byte.Parse(hexString.Substring(i * 2, 2), System.Globalization.NumberStyles.HexNumber); } return returnBytes; } } } And her is what I've got for Java code so far, but I'm getting the error "Input length must be multiple of 8 when decrypting with padded cipher" when I run the test on this: import java.security.InvalidAlgorithmParameterException; import java.security.InvalidKeyException; import javax.crypto.Cipher; import javax.crypto.NoSuchPaddingException; import javax.crypto.SecretKey; import javax.crypto.spec.IvParameterSpec; import javax.crypto.spec.SecretKeySpec; import com.tdocc.utils.Base64; public class TripleDES { private static byte[] keyBytes = { 110, 32, 73, 24, 125, 66, 75, 18, 79, (byte)150, (byte)211, 122, (byte)213, 14, (byte)156, (byte)136, (byte)171, (byte)218, 119, (byte)240, 81, (byte)142, 23, 4 }; private static byte[] ivBytes = { 25, 117, 68, 23, 99, 78, (byte)231, (byte)219 }; public static String encryptText(String plainText) { try { if (plainText.isEmpty()) return plainText; return Base64.decode(TripleDES.encrypt(plainText)).toString(); } catch (Exception e) { e.printStackTrace(); } return null; } public static byte[] encrypt(String plainText) throws InvalidKeyException, InvalidAlgorithmParameterException, NoSuchPaddingException { try { final SecretKey key = new SecretKeySpec(keyBytes, "DESede"); final IvParameterSpec iv = new IvParameterSpec(ivBytes); final Cipher cipher = Cipher.getInstance("DESede/CBC/PKCS5Padding"); cipher.init(Cipher.ENCRYPT_MODE, key, iv); final byte[] plainTextBytes = plainText.getBytes("utf-8"); final byte[] cipherText = cipher.doFinal(plainTextBytes); return cipherText; } catch (Exception e) { e.printStackTrace(); } return null; } public static String decryptText(String message) { try { if (message.isEmpty()) return message; else return TripleDES.decrypt(message.getBytes()); } catch (Exception e) { e.printStackTrace(); } return null; } public static String decrypt(byte[] message) { try { final SecretKey key = new SecretKeySpec(keyBytes, "DESede"); final IvParameterSpec iv = new IvParameterSpec(ivBytes); final Cipher cipher = Cipher.getInstance("DESede/CBC/PKCS5Padding"); cipher.init(Cipher.DECRYPT_MODE, key, iv); final byte[] plainText = cipher.doFinal(message); return plainText.toString(); } catch (Exception e) { e.printStackTrace(); } return null; } }

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  • Administering Team Foundation Server 2010 Class resource links

    - by John Alexander
    Here are the resource links for the Administering Team Foundation Server 2010 Class from last week in Minneapolis.  Microsoft® Visual Studio® 2010 and Team Foundation Server® 2010 RTM virtual machine for Microsoft® Virtual PC 2007 SP1 http://www.microsoft.com/downloads/en/details.aspx?FamilyID=5e13b15a-fd74-4cd7-b53e-bdf9456855bd Microsoft® Visual Studio® 2010 and Team Foundation Server® 2010 RTM virtual machine for Windows Virtual PC http://www.microsoft.com/downloads/en/details.aspx?FamilyID=509c3ba1-4efc-42b5-b6d8-0232b2cbb26e Microsoft® Visual Studio® 2010 and Team Foundation Server® 2010 RTM virtual machine for Windows Server 2008 Hyper-V http://www.microsoft.com/downloads/en/details.aspx?FamilyID=e0198b64-4acb-4709-b07f-359fb4d523bc Customizable process guidance http://blogs.msdn.com/b/allclark/archive/2010/08/12/customizable-process-guidance.aspx The 5 most read Visual Studio ALM help topics on MSDN http://blogs.msdn.com/b/allclark/archive/2010/11/12/the-5-most-read-visual-studio-alm-help-topics-on-msdn.aspx Inside TFS http://visualstudiomagazine.com/Articles/List/Inside-TFS.aspx Testing Topics http://msdn.microsoft.com/en-us/library/dd286594.aspx Blogs http://community.accentient.com http://geekswithblogs.net Branching Guide http://tfsbranchingguideiii.codeplex.com/ Great VSTS blog http://geekswithblogs.net/hinshelm/Default.aspx My Blog :D http://geekswithblogs.net/jalexander/Default.aspx Visual Studio Forums http://bit.ly/fE16u3 TFS Migration and Integration Solutions http://bit.ly/cLaBnT TFS Migration and Integration Tools (VS ALM Rangers) http://bit.ly/9tHWdG TFS Migration and Integration Platform (CodePlex) http://tfsintegration.codeplex.com Team Foundation Server SDK http://code.msdn.microsoft.com/TfsSdk Migrate and Integration Forum http://bit.ly/f4Lnps Team Foundation Server Widgets http://www.tfswidgets.com TFS Sdk http://code.msdn.microsoft.com/TfsSdk TFS Migration and Integration Solutions http://bit.ly/cLaBnT TFS Integration Tools Forum http://bit.ly/f4Lnps TFS Integration Tools http://bit.ly/9tHWdG TFS Integration Platform http://tfsintegration.codeplex.com VS Upgrade Guide http://vs2010upgradeguide.codeplex.com Updating an Upgraded Team Project to Access New Features http://bit.ly/9cCcMP Team Foundation Power Tools http://bit.ly/dfNVQk Team Foundation Administration Tool http://tfsadmin.codeplex.com Using Team Foundation Server Command-Line Tools http://bit.ly/hCyozJ Changing Groups and Permissions with TFSSecurity http://bit.ly/esIjgw Unofficial Prep guide for TFS 2010 Administration Exam (70-512) http://geekswithblogs.net/enriquelima/archive/2010/07/21/unofficial-prep-guide-for-tfs-2010-administration-exam-70-512.aspx Another Prep Guide http://bit.ly/bpO30R Professional Application Lifecycle Management with VS 2010 Book http://bit.ly/9rCIRj Search CodePlex for TFS related apps http://www.codeplex.com/site/search Visual Studio Gallery http://visualstudiogallery.com TFS Widgets http://tfswidgets.com Migrate from Visual SourceSafe http://bit.ly/8XPSRh Team Foundation Server MSSCCI Provider 2010 http://bit.ly/dst1OQ Attrice TFS Sidekicks www.attrice.info/cm/tfs Hosted TFS http://bit.ly/cMZdvp Manually Processing the Team Foundation Server 2010 Data Warehouse and Analysis Services Database http://bit.ly/aG5oEh TFS 2005, 2008 and 2010 Compatibility http://shrinkster.com/1dhj

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  • Oracle Financial Analytics for SAP Certified with Oracle Data Integrator EE

    - by denis.gray
    Two days ago Oracle announced the release of Oracle Financial Analytics for SAP.  With the amount of press this has garnered in the past two days, there's a key detail that can't be missed.  This release is certified with Oracle Data Integrator EE - now making the combination of Data Integration and Business Intelligence a force to contend with.  Within the Oracle Press Release there were two important bullets: ·         Oracle Financial Analytics for SAP includes a pre-packaged ABAP code compliant adapter and is certified with Oracle Data Integrator Enterprise Edition to integrate SAP Financial Accounting data directly with the analytic application.  ·         Helping to integrate SAP financial data and disparate third-party data sources is Oracle Data Integrator Enterprise Edition which delivers fast, efficient loading and transformation of timely data into a data warehouse environment through its high-performance Extract Load and Transform (E-LT) technology. This is very exciting news, demonstrating Oracle's overall commitment to Oracle Data Integrator EE.   This is a great way to start off the new year and we look forward to building on this momentum throughout 2011.   The following links contain additional information and media responses about the Oracle Financial Analytics for SAP release. IDG News Service (Also appeared in PC World, Computer World, CIO: "Oracle is moving further into rival SAP's turf with Oracle Financial Analytics for SAP, a new BI (business intelligence) application that can crunch ERP (enterprise resource planning) system financial data for insights." Information Week: "Oracle talks a good game about the appeal of an optimized, all-Oracle stack. But the company also recognizes that we live in a predominantly heterogeneous IT world" CRN: "While some businesses with SAP Financial Accounting already use Oracle BI, those integrations had to be custom developed. The new offering provides pre-built integration capabilities." ECRM Guide:  "Among other features, Oracle Financial Analytics for SAP helps front-line managers improve financial performance and decision-making with what the company says is comprehensive, timely and role-based information on their departments' expenses and revenue contributions."   SAP Getting Started Guide for ODI on OTN: http://www.oracle.com/technetwork/middleware/data-integrator/learnmore/index.html For more information on the ODI and its SAP connectivity please review the Oracle® Fusion Middleware Application Adapters Guide for Oracle Data Integrator11g Release 1 (11.1.1)

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  • Oracle AIM, Oracle ABF, and Siebel Results Roadmap Officially Retired as of January 31, 2011

    - by tom.spitz
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} It seems somehow appropriate that the first entry of the Oracle® Unified Method (OUM) blog is about the retirement of several of our legacy methods, most notably AIM Foundation.If you're reading this, you're probably aware that Oracle has been developing OUM to support the entire Enterprise IT lifecycle, including support for the successful implementation of every Oracle product. As Oracle has continued to acquire new companies and technologies, it has become essential that we also create a single, unified language and approach for implementation - across the Oracle ecosystem.With the release of OUM 5.1 in 2009, OUM provided full support for all enterprise application implementation projects including Oracle E-Business Suite R12, Siebel CRM, PeopleSoft Enterprise, and JD Edwards EnterpriseOne projects. In 2010, we released OUM training that supports the use of OUM on these types of projects.That support represented a major milestone in the evolution of OUM and enabled implementers to transition to OUM. Consequently, we announced a staggered retirement schedule for Oracle's legacy methods. On January 31, 2011 we announced the retirement of:Oracle Application Implementation Method (AIM)Oracle AIM for Business Flows (ABF)Siebel Results RoadmapLater this year, we will announce the retirement of Compass - the legacy PeopleSoft method - and Data Warehouse Method Fast Track.OUM is available free of charge to Oracle Gold, Platinum, and Diamond partners through the Oracle Partner Network (OPN) [OUM on OPN]. The OUM Customer Program allows customers to obtain copies of the method for their internal use by contracting with Oracle for an engagement of two weeks or longer meeting some additional minimum criteria.There be more retirement announcements in the coming months. For now it's "Adios AIM." Thanks for the memories...

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  • La nueva version de Enterprise Manager 12c, Release 4!

    - by grantunez-Oracle
    El día 3 de Junio del 2014 se anuncio la nueva versión de Enterprise Manager, y en esta versión hay nuevas funcionalidades que realmente hace que uno se apasione por este producto. Aquí no voy a platicar de todas las nuevas características, pero si de unas cuantas que son las de mas interés para la Base de Datos. Gestión Avanzada de Umbrales (Advanced Threshold Management) Esta funcionalidad  lo que permite es tener una mayor flexibilidad en los umbrales de todos tus objetivos (Targets) Umbrales basados en tiempo: Auto ajusta los umbrales estáticos, basados ??en los cambios de carga de trabajo de tu ambiente de trabajo. Por ejemplo, no son las mismas cargas de trabajo que tiene tu ambiente los fines de semana a comparación en un cierre de mes. Umbrales adaptativos: Umbrales que se calculan automáticamente para alertar si tu objetivo, ya sea una BD o un Exadata  se desvía del comportamiento esperado de su ambiente normal de trabajo. Interfaz para el seguimiento de tus tareas programadas Anteriormente si tenias varias tareas programadas, tenias que entrar a cada uno de tus targets para verificar como iba progresando, ahora en esta nueva versión, existe una nueva interfaz en la que te podrá permitir ver todas las tareas programadas que tienes en tu ambiente, reduciendo el numero de clicks para poder llegar a esta. De igual manera, se introduce la capacidad de poder exportar e importar tus tareas programadas a través de emcli emcli export_jobs  emcli import_jobs   Almacén de AWR (AWR Warehouse) En esta nueva versión se introdujo un almacén de los snapshots de AWR, este almacén o repositorio por default tiene una retención infinita, significando, que nunca va a borrar los snapshots de AWR.  Este repositorio puede ser una BD en  11.2.0.4 + el ultimo PSU o una version mas nueva. Las siguientes caracteristicas de AWR van a encontrarse en este repositorio Pagina de Performance Reporte AWR ASH Analytics Comparar un periodo de ADDM Comparar un un periodo de tiempo  In-Memory Store Central  Enterprise Manager 12.1.0.4 viene listo para la nueva version de la base de datos 12c, en donde vamos a poder ver un heat-map de los objetos que se encuentran en el "memory-store". Aquí, vamos a poder ver la compresión que se efectúa sobre los segmentos "en-memoria". De la misma manera vamos a tener un tutor o advisor, que nos va a poder guiar en nuestro proceso de decisión para ver que segmentos podemos definir en nuestra "in-memory store" . Mas Información Enterprise Manager  Enterprise Manager Cloud Control Documentation

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  • Oracle Customer Hub - Directions, Roadmap and Customer Success

    - by Mala Narasimharajan
     By Gurinder Bahl With less than a week from OOW 2012, I would like to introduce you all to the core Oracle Customer MDM Strategy sessions. Fragmentation of customer data across disparate systems prohibits companies from achieving a complete and accurate view of their customers. Oracle Customer Hub provide a comprehensive set of services, utilities and applications to create and maintain a trusted master customer system of record across the enterprise. Customer Hub centralizes customer data from disparate systems across your enterprise into a master repository. Existing systems are integrated in real-time or via batch with the Hub, allowing you to leverage legacy platform investments while capitalizing on the benefits of a single customer identity. Don’t miss out on two sessions geared towards Oracle Customer Hub:   1) Attend session CON9747 - Turn Customer Data into an Enterprise Asset with Oracle Fusion Customer Hub Applications at Oracle Open World 2012 on Monday, Oct 1st, 10:45 AM - 11:45 AM @ Moscone West – 2008. Manouj Tahiliani, Sr. Director MDM Product Management will provide insight into the vision of Oracle Fusion Customer Hub solutions, and review the roadmap. You will discover how Fusion Customer MDM can help your enterprise improve data quality, create accurate and complete customer information,  manage governance and help create great customer experiences. You will also understand how to leverage data quality capabilities and create a sophisticated customer foundation within Oracle Fusion Applications. You will also hear Danette Patterson, Group Lead, Church Pension Group talk about how Oracle Fusion Customer Hub applications provide a modern, next-generation, multi-domain foundation for managing customer information in a private cloud. 2)  Don't miss session  CON9692 - Customer MDM is key to Strategic Business Success and Customer Experience Management at Oracle Open World 2012 on Wednesday, October 3rd 2012 from 3:30-4:30pm @ Westin San Francisco Metropolitan 1. JP Hurtado, Director, Customer Systems, will provide insight on how RCCL overcame challenges of data quality, guest recognition & centralized customer view to provide consolidated customer view to multiple reservation, CRM, marketing, service, sales, data warehouse and loyalty systems. You will learn how Royal Caribbean Cruise Lines (RCCL), which has over 30 million customer and maintain multiple brands, leveraged Oracle Customer Hub (Siebel UCM) as backbone to customer data management strategy for past 5 years. Gurinder Bahl from MDM Product Management will provide an update on Oracle Customer Hub strategy, what we have achieved since last Open World and our future plans for the Oracle Customer Hub. You will learn about Customer Hub Data Quality capabilities around data analysis, cleansing, matching, address validation as well as reporting and monitoring capabilities. The MDM track at Oracle Open World covers variety of topics related to MDM. In addition to the product management team presenting product updates and roadmap, we have several Customer Panels, and Conference sessions. You can see an overview of MDM sessions here.  Looking forward to see you at Open World, the perfect opportunity to learn about cutting edge Oracle technologies. 

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  • Thoughts on Nexus in SQL Server PDW

    - by jamiet
    I have been on a SQL Server Parallel Data Warehouse (aka PDW) training course this week and was interested to learn that you can't (yet) use SQL Server Management Studio (SSMS) against PDW, instead they ship a 3rd party tool called Nexus Chameleon. This was a bit of a disappointment at the beginning of the week (I'd prefer parity across SQL Server editions) but actually, having used Nexus for 3 days, I'm rather getting used to it. Some of it is a bit clunky (e.g. everything goes via an ODBC DSN) but once you get into using it its the epitome of "it just works". For example, over the past few years I have come to rely on intellisense in SSMS and have learnt to cope with its nuances. There is no intellisense in Nexus but you know what....I don't really miss it that much. In a sense its a breath of fresh air not having to hope that you've crossed the line into that will it work/won't it work grey area with SSMS intellisense. And I don't end up with writing @@CONNECTIONS instead of FROM anymore (anyone else suffer from this?) :) Moreover, Nexus is a standalone tool. Its not a bunch of features shoehorned into something else (Visual Studio). Another thing I like about Nexus is that you can actually do something with your resultset client-side. Take a look at the screenshots below:   You can see Nexus allows you to group a resultest by a column or set of columns. Nice touch. I know that many people have submitted Connect requests asking for the ability to do similar things in SSMS that would mean we don't have to copy resultsets into Excel (I know I have) - Nexus is a step in that direction. Its refreshing to use a tool that just gets out of the way yet still has some really useful features. How ironic that it gets shipped inside an edition of SQL Server! If I had the option of using Nexus in my day job I suspect that over time I would probably gravitate back to SSMS because as yet I haven’t really stretched Nexus’ capabilities, overall SSMS *does* have more features and up until now I've never really had any objections to it ... but its been an interesting awakening into the nuances that plague SSMS. Anyone else used Nexus? Any thoughts on it? @Jamiet

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  • Poll Results: Foreign Key Constraints

    - by Darren Gosbell
    A few weeks ago I did the following post asking people – if they used foreign key constraints in their star schemas. The poll is still open if you are interested in adding to it, but here is what the chart looks like as of today. (at the bottom of the poll itself there is a link to the live results, unfortunately I cannot link the live results in here as the blogging platform blocks the required javascript)   Interestingly the results are fairly even. Of the 78 respondents, fractionally over half at least aim to start with referential integrity in their star schemas. I did not want to influence the results by sharing my opinion, but my personal preference is to always aim to have foreign key constraints. But at the same time, I am pragmatic about it, I do have projects where for various reasons some constraints are not defined. And I also have other designs that I have inherited, where it would just be too much work to go back and add foreign key constraints. If you are going to implement foreign keys in your star schema, they really need to be there at the start. In fact this poll was was the result of a feature request for BIDSHelper asking for a feature to check for null/missing foreign keys and I am entirely convinced that BIDS is the wrong place for this sort of functionality. BIDS is a design tool, your data needs to be constantly checked for consistency. It's not that I think that it's impossible to get a design working without foreign key constraints, but I like the idea of failing as soon as possible if there is an error and enforcing foreign key constraints lets me "fail early" if there are constancy issues with my data. By far the biggest concern with foreign keys is performance and I suppose I'm curious as to how often people actually measure and quantify this. I worked on a project a number of years ago that had very large data volumes and we did find that foreign key constraints did have a measurable impact, but what we did was to disable the constraints before loading the data, then enabled and checked them afterwards. This saved as time (although not as much as not having constraints at all), but still let us know early in the process if there were any consistency issues. For the people that do not have consistent data, if you have ETL processes that you control that are building your star schema which you also control, then to be blunt you only have yourself to blame. It is the job of the ETL process to make the data consistent. There are techniques for handling situations like missing data as well as  early and late arriving data. Ralph Kimball's book – The Data Warehouse Toolkit goes through some design patterns for handling data consistency. Having foreign key relationships can also help the relational engine to optimize queries as noted in this recent blog post by Boyan Penev

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  • How to Name Linked Servers

    - by Bill Graziano
    I did another SQL Server migration over the weekend that dealt with linked servers.  I’ve seen all kinds of odd naming schemes and there are a few I like and a few I suggest you avoid. Don’t name your linked server for its IP address.  At some point whatever is on the other end of that IP address will move.  You’ll probably need to point your linked server to a new IP address but not change the name of the linked server.  And then you’ve completely lost any context around this.  Bonus points if a new SQL Server eventually ends up at the old IP address further adding confusion when you’re trying to troubleshoot. Don’t name your linked server based on its instance name.  This one is less obvious.  It sounds nice to have a linked server named [VSRV1\SQLTRAN01].  You know what it is and it’s easy to use.  It’s less nice when you’ve got 200 stored procedures that all reference this linked server but the database they reference has moved to a new instance.  Now when you query this you’re actually querying a different instance. (Please note: I’m not saying it’s a good idea to have 200 stored procedures that all reference a linked server.  I’m just saying it’s not all that uncommon.) Consider naming your linked server something that you can easily search on.  See my note above.  You can also get around this by always enclosing the name in brackets.  That is harder to enforce unless you use some odd characters in it. Consider naming your linked server based on the function.  For example, I’ve had some luck having a linked server named [DW] that points to our data warehouse server.  That server can change names or physically move and all I need to do is update the linked server to point to the new destination.  The descriptive name of the linked server is still accurate.  No code needs to change and people still know what it is just by looking at it. Consider naming your linked server for the database.  I’m still thinking through this one.  It may mean you have multiple linked servers that point to the same instance.  I’ve found that database names rarely change.  It also makes it easier to move individual databases to new servers. Consider pointing your linked servers to DNS entries and not IP addresses.  I’ve done this for reporting databases and had some success.  Especially for read-only snapshots that can get created on the main database or on the mirror.  What issues have you had with linked server names?  What has worked for you?  Where are the holes in my approach?

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  • links for 2011-02-16

    - by Bob Rhubart
    On the Software Architect Trail Software architect is the #1 job, according to a 2010 CNN-Money poll. In this article in Oracle Magazine, several members of the OTN architect community talk about the career paths that led them to this lucrative role.  (tags: oracle oraclemagazine softwarearchitect) Oracle Technology Network Architect Day: Denver Registration opens soon for this event to be held in Denver on March 23, 2011.  (tags: oracle otn entarch) How the Internet Gets Inside Us : The New Yorker "It isn’t just that we’ve lived one technological revolution among many; it’s that our technological revolution is the big social revolution that we live with." - Adam Gopnik (tags: internet progress technology innovation) The Insider Threat: Understand and Mitigate Your Risks: CSO Webcast February 23, 2011 at 1:00 PM EST/ 10:00 AM PST .  Speakers: Randy Trzeciak, lead for the CERT Insider Threat research team, and  Roxana Bradescu, Director of Database Security at Oracle. (tags: oracle CERT security) The Tom Kyte Blog: An Interesting Read... Tom looks at "an internet security firm brought down by not following the most *basic* of security principals." (tags: security oracle) Jason Williamson: Oracle as a Service in the Cloud "It is not trivial to migrate large amounts of pre-relational or 'devolved' relational data. To do this, we again must revert back to a tight roadmap to migration and leverage the growing tools and services that we have." - Jason Williamson (tags: oracle cloud soa) Edwin Biemond: Java / Oracle SOA blog: Building an asynchronous web service with JAX-WS "Building an asynchronous web service can be complex especially when you are used to synchronous Web services where you can wait for the response in your favorite tool." - Oracle ACE Edwin Biemond (tags: oracle oracleace java soa) Shared Database Servers (The SaaS Report) "Outside the virtualization world, there are capabilities of Oracle Database which can be used to prevent resource contention and guarantee SLA." - Shivanshu Upadhyay (tags: oracle database cloud SaaS) White Paper: Experiencing the New Social Enterprise "Increasingly organizations recognize the mandate to create a modern user experience that transforms existing business processes and increases business efficiency and agility." (tags: e20 enterprise2.0 socialcomputing oracle) Clusterware 11gR2 - Setting up an Active/Passive failover configuration Gilles Haro illustrates the steps necessary to achieve "a fully operational 11gR2 database protected by automatic failover capabilities." (tags: oracle clusterware) Oracle ERP: How to overcome local hurdles in a global implementation "The corporate world becomes a global village as many companies expand their business and offices around different countries and even continents. And this number keeps increasing. This globalization raises interesting questions..." - Jan Verhallen (tags: oracle capgemini entarch erp) Webcast: Successful Strategies for Optimizing Your Data Warehouse. March 3. 10 a.m. PT/1 p.m. ET Thursday, March 3, 2011. 10 a.m. PT/1 p.m. ET. Speakers: Mala Narasimharajan (Senior Product Marketing Manager, Oracle Data Integration) and Denis Gray (Principal Product Manager, Oracle Data Integration) (tags: oracle dataintegration datawarehousing)

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  • Creating the Completely Customized World Just for YOU

    - by divya.malik
    OK so not a customized world, but do you know what goes into creating that customized web store front for you? How do you get those additional offers from vendors when you call in for service or when you are browsing a storefront. This is what is has been happening behind the scenes.  When a customer calls in a contact center for service, at the end of the conversation, they are offered a new product, or service. But what just transpired was that the CRM system that was in place had routed the call to the right agent, the agent got the pop up screen with the customer information, and the call request  was handled. Then came the decision point to cross-sell and up-sell, The agent got some recommended offers that were created based on analyzed data (this data had been put into a data warehouse, modeled, profiled and rules were implemented e.g.. People with profile X like product Y).  But with this system, what happens is that analytics can be applied to a very small subset. Now comes Real Time Decisioning (RTD), this helps companies make optimal decisions in the context of transactional systems. It enables companies to improve business processes with real time intelligence on every single transaction. RTD is like a service plug-in that you put at the back of your transactional systems and that you  ping to get a recommendation.  It listens to business process flows and data moving through the process, getting all that data, processes all that you can do with that data, and gives out out various offers. It takes a process centric view of analytics rather than just a data centric view. It continuously observes and learns from ever-changing customer behavior and applies those insights to providing real-time decisions and recommendations at any customer touch point. At Oracle we define Real Time Decisioning as “ The solution that addresses a business issue faced by all organizations : how to make accurate decisions, using the most up to date information, in real time…consistently and in large volumes”. Here is a video on recommendation engines that are benefiting from real time decisioning today and see how it is helping online vendors.

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  • Is it possible to have multiple sets of key columns in a table?

    - by Peter Larsson
    Filtered indexes is one of my new favorite things with SQL Server 2008. I am currently working on designing a new datawarehouse. There are two restrictions doing this It has to be fed from the old legacy system with both historical data and new data It has to be fed from the new business system with new data When we incorporate the new business system, we are going to do that for one market only. It means the old legacy business system still will produce new data for other markets (together with historical data for all markets) and the new business system produce new data to that one market only. Sounds interesting this far? To accomplish this I did a thorough research about the business requirements about the business intelligence needs. Then I went on to design the sucker. How does this relate to filtered indexes you ask? I'll give one example, the Stock transaction table. Well, the key columns for the old legacy system are different from the key columns from the new business system. The old legacy system has a key of 5 columns Movement date Movement time Product code Order number Sequence number within shipment And to all thing, I found out that the Movement Time column is not really a time. It starts out like a time HH:MM:SS but seconds are added for each delivery within the shipment, so a Movement Time can look like "12:11:68". The sequence number is ordered over the distributors for shipment. As I said, it is a legacy system. The new business system has one key column, the Movement DateTime (accuracy down to 100th of nanosecond). So how to deal with this? On thing would be to have two stock transaction tables, one for legacy system and one for the new business system. But that would lead to a maintenance overhead and using partitioned views for getting data out of the warehouse. Filtered index will be of a great use here. MovementDate DATETIME2(7) MovementTime CHAR(8) NULL ProductCode VARCHAR(15) NOT NULL OrderNumber VARCHAR(30) NULL SequenceNumber INT NULL The sequence number is not even used in the new system, so I created a clustered index for a new IDENTITY column to make a new identity column which can be shared by both systems. Then I created one unique filtered index for old system like this CREATE UNIQUE NONCLUSTERED INDEX IX_Legacy (MovementDate, MovementTime, ProductCode, SequenceNumber) INCLUDE (OrderNumber, Col5, Col6, ... ) WHERE SequenceNumber IS NOT NULL And then I created a new unique filtered index for the new business system like this CREATE UNIQUE NONCLUSTERED INDEX IX_Business (MovementDate) INCLUDE (ProductCode, OrderNumber, Col12, ... ) WHERE SequenceNumber IS NULL This way I can have multiple sets of key columns on same base table which is shared by both systems.

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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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  • Kicking off the ODI12c Blog Series

    - by Madhu Nair
    Normal 0 false false false EN-US ZH-TW X-NONE MicrosoftInternetExplorer4 It is always exciting to talk about a new release, especially one as significant as the newly released Oracle Data Integrator 12c (ODI12c). Why? Because it is packed with features that addresses many requirements for the user community. If you missed sneak previews at this year's Oracle Open World sessions, do not despair. Because over the coming weeks the ODI12c team of developers and consultants will be sharing their perspective on key features, experiences and best practices for ODI12c right here through a series of blogs. Before diving into feature details in subsequent blogs it helps to understand the overall themes that went into developing ODI12c. Let the Productivity Flow: Let us face it. Designing for developer user experience is always top of mind to any enterprise software. ODI12c addresses this through the introduction of declarative flow based mappings (the topic of our next ODI blog by the way!!). Reusability has been addressed though the introduction of reusable mappings cutting down development times for repeated logics. An enhanced debugger makes life easy for complex granular debugging scenarios. Unique repository IDs now allow you to manage multiple repositories. Performance is Paramount: Another major area of focus for ODI12c is performance. Increased parallelism (like the multiple target table load feature), reduced session overheads and ability to customize loads plans through physical views all empower the user to tune run times for extreme performances. mapping showing multiple target load physical representation allowing users to choose execution options Integrating it all: This release is not just about ODI12c as a standalone product. Closer integration with Oracle GoldenGate now brings Change Data Capture (CDC) capabilities into ODI12c. Oracle Warehouse Builder (OWB) jobs can now be executed and monitored from within ODI12c. And ODI12c is fast becoming the de facto standard for Oracle Applications that need data integration in their solutions. The best example being the latest release of the Oracle BI Applications technology. Even as we bring you in-depth write-ups about the features there are some great previews and resources that are already out there. Like this super entry by beta partner Rittman Mead Consulting and this ODI12c Key Features White Paper. You can download ODI12c here (this post helps). The best though is the upcoming Executive Webcast featuring customers and executives who have seen and conceived the product. Don’t miss it!

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  • SQLAuthority News – Download Whitepaper – SQL Server Analysis Services to Hive

    - by pinaldave
    The SQL Server Analysis Service is a very interesting subject and I always have enjoyed learning about it. You can read my earlier article over here. Big Data is my new interest and I have been exploring it recently. During this weekend this blog post caught my attention and I enjoyed reading it. Big Data is the next big thing. The growth is predicted to be 60% per year till 2016. There is no single solution to the growing need of the big data available in the market right now as well there is no one solution in the business intelligence eco-system available as well. However, the need of the solution is ever increasing. I am personally Klout user. You can see my Klout profile over. I do understand what Klout is trying to achieve – a single place to measure the influence of the person. However, it works a bit mysteriously. There are plenty of social media available currently in the internet world. The biggest problem all the social media faces is that everybody opens an account but hardly people logs back in. To overcome this issue and have returned visitors Klout has come up with the system where visitors can give 5/10 K+ to other users in a particular area. Looking at all the activities Klout is doing it is indeed big consumer of the Big Data as well it is early adopter of the big data and Hadoop based system.  Klout has to 1 trillion rows of data to be analyzed as well have nearly thousand terabyte warehouse. Hive the language used for Big Data supports Ad-Hoc Queries using HiveQL there are always better solutions. The alternate solution would be using SQL Server Analysis Services (SSAS) along with HiveQL. As there is no direct method to achieve there are few common workarounds already in place. A new ODBC driver from Klout has broken through the limitation and SQL Server Relation Engine can be used as an intermediate stage before SSAS. In this white paper the same solutions have been discussed in the depth. The white paper discusses following important concepts. The Klout Big Data solution Big Data Analytics based on Analysis Services Hadoop/Hive and Analysis Services integration Limitations of direct connectivity Pass-through queries to linked servers Best practices and lessons learned This white paper discussed all the important concepts which have enabled Klout to go go to the next level with all the offerings as well helped efficiency by offering a few out of the box solutions. I personally enjoy reading this white paper and I encourage all of you to do so. SQL Server Analysis Services to Hive Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, T SQL, Technology

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  • SQL – Biggest Concerns in a Data-Driven World

    - by Pinal Dave
    The ongoing chaos over Government Agency’s snooping has ignited a heated debate on privacy of personal data and its use by government and/or other institutions. It has created a feeling of disapproval and distrust among users. This incident proves to be a lesson for companies that are looking to leverage their business using a data driven approach. According to analysts, the goal of gathering personal information should be to deliver benefits to both the parties – the user as well as the data collector(government or business). Using data the right way is crucial, and companies need to deploy the right software applications and systems to ensure that their efforts are well-directed. However, there are various issues plaguing analysts regarding available software, which are highlighted below. According to a InformationWeek 2013 Survey of Analytics, Business Intelligence and Information Management where 541 business technology professionals contributed as respondents, it was discovered that the biggest concern was deemed to be the scarcity of expertise and high costs associated with the same. This concern was voiced by as many as 38% of the participants. A close second came out to be the issue of data warehouse appliance platforms being expensive, with 33% of those present believing it to be a huge roadblock. Another revelation made in this respect was that 31% professionals weren’t even sure how Data Analytics can create business opportunities for them. Another 17% shared that they found data platform technologies such as Hadoop and NoSQL technologies hard to learn. These results clearly pointed out that there are awareness and expertise issues that also need much attention. Unless the demand-supply gap of Business Intelligence professionals well versed in data analysis technologies is met, this divide is going to affect how companies make the most of their BI campaigns. One of the key action points that can be taken to salvage the situation, is to provide training on Data Analytics concepts. Koenig Solutions offer courses on many such technologies including a course on MCSE SQL Server 2012: BI Platform. So it’s time to brush up your skills and get down to work in a data driven world that awaits you ahead. 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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  • Data Auditor by Example

    - by Jinjin.Wang
    OWB has a node Data Auditors under Oracle Module in Projects Navigator. What is data auditor and how to use it? I will give an introduction to data auditor and show its usage by examples. Data auditor is an important tool in ensuring that data quality levels meet business requirements. Data auditor validates data against a set of data rules to determine which records comply and which do not. It gathers statistical metrics on how well the data in a system complies with a rule by auditing and marking how many errors are occurring against the audited table. Data auditors are typically scheduled for regular execution as part of a process flow, to monitor the quality of the data in an operational environment such as a data warehouse or ERP system, either immediately after updates like data loads, or at regular intervals. How to use data auditor to monitor data quality? Only objects with data rules can be monitored, so the first step is to define data rules according to business requirements and apply them to the objects you want to monitor. The objects can be tables, views, materialized views, and external tables. Secondly create a data auditor containing the objects. You can configure the data auditor and set physical deployment parameters for it as optional, which will be used while running the data auditor. Then deploy and run the data auditor either manually or as part of the process flow. After execution, the data auditor sets several output values, and records that are identified as not complying with the defined data rules contained in the data auditor are written to error tables. Here is an example. We have two tables DEPARTMENTS and EMPLOYEES (see pic-1 and pic-2. Click here for DDL and data) imported into OWB. We want to gather statistical metrics on how well data in these two tables satisfies the following requirements: a. Values of the EMPLOYEES.EMPLOYEE_ID attribute are three-digit numbers. b. Valid values for EMPLOYEES.JOB_ID are IT_PROG, SA_REP, SH_CLERK, PU_CLERK, and ST_CLERK. c. EMPLOYEES.EMPLOYEE_ID is related to DEPARTMENTS.MANAGER_ID. Pic-1 EMPLOYEES Pic-2 DEPARTMENTS 1. To determine legal data within EMPLOYEES or legal relationships between data in different columns of the two tables, firstly we define data rules based on the three requirements and apply them to tables. a. The first requirement is about patterns that an attribute is allowed to conform to. We create a Domain Pattern List data rule EMPLOYEE_PATTERN_RULE here. The pattern is defined in the Oracle Database regular expression syntax as ^([0-9]{3})$ Apply data rule EMPLOYEE_PATTERN_RULE to table EMPLOYEES.

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  • Endeca Information Discovery 3-Day Hands-on Training Workshop

    - by Mike.Hallett(at)Oracle-BI&EPM
    For Oracle Partners, on October 3-5, 2012 in Milan, Italy: Register here. Endeca Information Discovery plays a key role with your big data analysis and complements Oracle Business Intelligence Solutions such as OBIEE. This FREE hands-on workshop for Oracle Partners highlights technical know-how of the product and helps understand its value proposition. We will walk you through four key components of the product: Oracle Endeca Server—A highly scalable, search-analytical database that derives the data model based on the data presented to it, thereby reducing data modeling requirements. Studio—A highly interactive, component-based user interface for configuring advanced, yet intuitive, analytical applications. Integration Suite—Provides rapid unification and enrichment of diverse sources of information into a single integrated view. Extensible Value-Added Modules—Add-on modules that provide value quickly through configuration instead of custom coding. Topics covered will include Data Exploration with Endeca Information Discovery, Data Ingest, Project Lifecycle, Building an Endeca Server data model and advanced modeling techniques, and Working with Studio. Lab Outline The labs showcase Oracle Endeca Information Discovery components and functionality by providing expertise on features and know-how of building such applications. The hands-on activities are based on a Quick Start application provided during the class. Audience Oracle Partners, Big Data Analytics Developer and Architects BI and EPM Application Developers and Implementers, Data Warehouse Developers Equipment Requirements This workshop requires attendees to provide their own laptops for this class. Attendee laptops must meet the following minimum hardware/software requirements: Hardware 8GB RAM is highly recommended (Windows 64 bit Machine is required) 40 GB free space (includes staging) USB 2.0 port (at least one available) Software One of the following operating systems: 64-bit Windows host/laptop OS (Windows 7 or Windows Server 2008) 64-bit host/laptop OS with a Windows VM (Server, or Win 7, BIC2g, etc.) Internet Explorer 8.x , Firefox 3.6 or Firefox 6.0 WINRAR or 7ziputility to unzip workshop files: Download-able from http://www.win-rar.com/download.html Download-able from http://www.7zip.com/ Oracle Endeca Information Discovery Workshop Register here: October 3-5, 2012: Cinisello Balsamo, Milan.  We will confirm with you your place within 2 weeks. Questions?  Send email to: [email protected]  :  Oracle Platform Technologies Enablement Services.

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  • Oracle OpenWorld Call for MDM Papers

    - by david.butler(at)oracle.com
    As the MDM Track owner, I would like to invite everyone to respond to the Oracle OpenWorld (October 2-6, Moscone Center, San Francisco) Call for Papers (https://oracleus.wingateweb.com/portal/cfp/ ). The Call for Papers is open now through Sunday, March 27. This is an outstanding opportunity for organizations familiar with MDM to tell their story to a very large, knowledgeable and intensely interested community. Opportunities for feedback and networking abound.  I would love to see MDM papers on: business drivers; business benefits; quantified ROI stories; business process optimization; implementation styles; implementation lessons learned; using master data as a service; data governance best practices; end-to-end data quality experiences; support for SOA; Chart of Accounts issues fixed; how to leverage reference data; improving EPM and/or BI across the board; operationalizing a data warehouse; support for cloud computing; compliance success stories; architecture, scalability, and mixed workload RAC platform performance examples; industry specific value propositions (Financial Services; Retail, Telecom; Manufacturing, High Tech Manufacturing, Public Sector, Health Care, …); and line of business specific value propositions (CRM, ERP, PLM, SCM, …); etc. In fact, given that MDM positively impacts all areas of operations and analytics, there are no limits to the ideas you may have for an OpenWorld presentation. When you follow the submission process, be sure to use “Master Data Management” for either the Primary or Optional track. Add “Master Data Management” as an Optional track if you are adding MDM content to a presentation on one of the following tracks: Agile; Customer Relationship Management, Oracle E-Business Suite, Product Lifecycle Management, Siebel, Sourcing and Procurement, Supply Chain Management, or one of the 18 available industry tracks. If Cloud Computing is included, please add “Cloud Computing” as a Cross-Stream Track. And don’t forget to make “MDM” a Tag, along with Business Intelligence, Cloud, CRM, Data Integration, Data Migration, Data Warehousing, EPM, or Service-Oriented Architecture whenever your content includes these items. I will personally review each submission. I hope you all keep me very busy over the next few weeks.

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  • ArchBeat Link-o-Rama for 2012-06-28

    - by Bob Rhubart
    Oracle Magazine Technologist of the Year Awards to honor architects at #OOW12 Seven of the ten categories in this year's Oracle Magazine Technologist of the Year Awards are designated to celebrate architects. The winners will be honored at Oracle OpenWorld -- and showered with adulation from their colleagues. Nominations for these awards close on Tuesday July 17, so make sure you submit your nominations right away. Oracle E-Business Suite 12 Certified on Additional Linux Platforms (Oracle E-Business Suite Technology) Oracle E-Business Suite Release 12 (12.1.1 and higher) is now certified on the following additional Linux x86/x86-64 operating systems: Oracle Linux 6 (32-bit), Red Hat Enterprise Linux 6 (32-bit), Red Hat Enterprise Linux 6 (64-bit), and Novell SUSE Linux Enterprise Server (SLES) version 11 (64-bit). FairScheduling Conventions in Hadoop (The Data Warehouse Insider)"If you're going to have several concurrent users and leverage the more interactive aspects of the Hadoop environment (e.g. Pig and Hive scripting), the FairScheduler is definitely the way to go," says Dan McClary. Learn how in his technical post. SOA Learning Library (SOA & BPM Partner Community Blog) The Oracle Learning Library offers a vast collection of e-learning resources covering a mind-boggling array of products and topics. And it's all free—if you have an Oracle.com membership. And if you don't, that's free, too. Could this be any easier? Oracle Fusion Middleware Security: LibOVD: when and how | Andre Correa Fusion Middleware A-Team blogger Andre Correa offers some background on LibOVD and shares technical tips for its use. Virtual Developer Day: Oracle Fusion Development Yes, it's called "Developer Day," but there's plenty for architects, too. This free event includes hands-on labs, live Q&A with product experts, and a dizzying amount of technical information about Oracle ADF and Fusion Development -- all without having to pack a bag or worry about getting stuck in a seat between two professional wrestlers. Tuesday, July 10, 2012 9:00 a.m. PT – 1:00 p.m. PT 11:00 a.m. CT – 3:00 p.m. CT 12:00 p.m. ET – 4:00 p.m. ET 1:00 p.m. BRT – 5:00 p.m. BRT Thought for the Day "Computers allow you to make more mistakes faster than any other invention in human history with the possible exception of handguns and tequila." — Mitch Ratcliffe Source: SoftwareQuotes.com

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  • Hadoop, NOSQL, and the Relational Model

    - by Phil Factor
    (Guest Editorial for the IT Pro/SysAdmin Newsletter)Whereas Relational Databases fit the world of commerce like a glove, it is useless to pretend that they are a perfect fit for all human endeavours. Although, with SQL Server, we’ve made great strides with indexing text, in processing spatial data and processing markup, there is still a problem in dealing efficiently with large volumes of ephemeral semi-structured data. Key-value stores such as Cassandra, Project Voldemort, and Riak are of great value for ephemeral data, and seem of equal value as a data-feed that provides aggregations to an RDBMS. However, the Document databases such as MongoDB and CouchDB are ideal for semi-structured data for which no fixed schema exists; analytics and logging are obvious examples. NoSQL products, such as MongoDB, tackle the semi-structured data problem with panache. MongoDB is designed with a simple document-oriented data model that scales horizontally across multiple servers. It doesn’t impose a schema, and relies on the application to enforce the data structure. This is another take on the old ‘EAV’ problem (where you don’t know in advance all the attributes of a particular entity) It uses a clever replica set design that allows automatic failover, and uses journaling for data durability. It allows indexing and ad-hoc querying. However, for SQL Server users, the obvious choice for handling semi-structured data is Apache Hadoop. There will soon be an ODBC Driver for Apache Hive .and an Add-in for Excel. Additionally, there are now two Hadoop-based connectors for SQL Server; the Apache Hadoop connector for SQL Server 2008 R2, and the SQL Server Parallel Data Warehouse (PDW) connector. We can connect to Hadoop process the semi-structured data and then store it in SQL Server. For one steeped in the culture of Relational SQL Databases, I might be expected to throw up my hands in the air in a gesture of contempt for a technology that was, judging by the overblown journalism on the subject, about to make my own profession as archaic as the Saggar makers bottom knocker (a potter’s assistant who helped the saggar maker to make the bottom of the saggar by placing clay in a metal hoop and bashing it). However, on the contrary, I find that I'm delighted with the advances made by the NoSQL databases in the past few years. Having the flow of ideas from the NoSQL providers will knock any trace of complacency out of the providers of Relational Databases and inspire them into back-fitting some features, such as horizontal scaling, with sharding and automatic failover into SQL-based RDBMSs. It will do the breed a power of good to benefit from all this lateral thinking.

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  • Data Virtualization: Federated and Hybrid

    - by Krishnamoorthy
    Data becomes useful when it can be leveraged at the right time. Not only enterprises application stores operate on large volume, velocity and variety of data. Mobile and social computing are in the need of operating in foresaid data. Replicating and transferring large swaths of data is one challenge faced in the field of data integration. However, smaller chunks of data aggregated from a variety of sources presents and even more interesting challenge in the industry. Over the past few decades, technology trends focused on best user experience, operating systems, high performance computing, high performance web sites, analysis of warehouse data, service oriented architecture, social computing, cloud computing, and big data. Operating on the ‘dark data’ becomes mandatory in the future technology trend, although, no solution can make dark data useful data in a single day. Useful data can be quantified by the facts of contextual, personalized and on time delivery. In most cases, data from a single source may not be complete the picture. Data has to be combined and computed from various sources, where data may be captured as hybrid data, meaning the combination of structured and unstructured data. Since related data is often found across disparate sources, effectively integrating these sources determines how useful this data ultimately becomes. Technology trends in 2013 are expected to focus on big data and private cloud. Consumers are not merely interested in where data is located or how data is retrieved and computed. Consumers are interested in how quick and how the data can be leveraged. In many cases, data virtualization is the right solution, and is expected to play a foundational role for SOA, Cloud integration, and Big Data. The Oracle Data Integration portfolio includes a data virtualization product called ODSI (Oracle Data Service Integrator). Unlike other data virtualization solutions, ODSI can perform both read and write operations on federated/hybrid data (RDBMS, Webservices,  delimited file and XML). The ODSI Engine is built on XQuery, hence ODSI user can perform computations on data either using XQuery or SQL. Built in data and query caching features, which reduces latency in repetitive calls. Rightly positioning ODSI, can results in a highly scalable model, reducing spend on additional hardware infrastructure.

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  • Oracle ENDECA Discovery 3.1 Partner Training 3-Day Workshop

    - by Mike.Hallett(at)Oracle-BI&EPM
    Normal 0 false false false EN-GB X-NONE X-NONE MicrosoftInternetExplorer4 To find out more about the ENDECA training, and to Register for this, click here. June 24-26, 2014: Oracle Reading, UK – Free to partners in EMEA. FREE of charge to OPN member Partners, this Oracle Endeca Information Discovery (OEID) 3-day bootcamp is designed to give partners an understanding of OEID’s features, and how it complements the existing Oracle Business Intelligence suite. This workshop will provide hands-on experience with Oracle Endeca Information Discovery. Topics covered will include Data Exploration with Endeca Information Discovery, Data Ingest, Project Lifecycle, Building an Endeca Server data model and advanced modeling techniques, and Working with Studio. You will also learn about working with ETL components for content acquisitions and other aspects of the project such as security. After taking this course, you will be well prepared to architect, build, demo, and implement an end-to-end Endeca Information Discovery solution. If you are a Bigdata Analytics Architect or Developer, BI or Data Warehouse Architect, developer or consultant, you don’t want to miss this 3-day workshop. Click here to Register for this. /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}

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  • OTN Virtual Technology Summit - July 9 - Middleware Track

    - by OTN ArchBeat
    The Architecture of Analytics: Big Time Big Data and Business Intelligence This four-session track, part of the free OTN Virtual Technology Summit on July 9, will present a solution architect's perspective on how business intelligence products in Oracle's Fusion Middleware family and beyond fit into an effective big data architecture, offering insight and expertise from Oracle ACE Directors and product team experts specializing in business Intelligence to help you meet your big data business intelligence challenges. Register now! Sessions Oracle Big Data Appliance Case Study: Using Big Data to Analyze Cancer-Genome Relationships Tom Plunkett, Lead Author of the Oracle Big Data Handbook What does it take to build an award winning Big Data solution? This presentation takes a deep technical dive into the use of the Oracle Big Data Appliance in a project for the National Cancer Institute's Frederick National Laboratory for Cancer Research. The Frederick National Laboratory and the Oracle team won several awards for analyzing relationships between genomes and cancer subtypes with big data, including the 2012 Government Big Data Solutions Award, the 2013 Excellence.Gov Finalist for Innovation, and the 2013 ComputerWorld Honors Laureate for Innovation. [30 mins] Getting Value from Big Data Variety Richard Tomlinson, Director, Product Management, Oracle Big data variety implies big data complexity. Performing analytics on diverse data typically involves mashing up structured, semi-structured and unstructured content. So how can we do this effectively to get real value? How do we relate diverse content so we can start to analyze it? This session looks at how we approach this tricky problem using Endeca Information Discovery. [30 mins] How To Leverage Your Investment In Oracle Business Intelligence Enterprise Edition Within a Big Data Architecture Oracle ACE Director Kevin McGinley More and more organizations are realizing the value Big Data technologies contribute to the return on investment in Analytics. But as an increasing variety of data types reside in different data stores, organizations are finding that a unified Analytics layer can help bridge the divide in modern data architectures. This session will examine how you can enable Oracle Business Intelligence Enterprise Edition (OBIEE) to play a role in a unified Analytics layer and the benefits and use cases for doing so. [30 mins] Oracle Data Integrator 12c As Your Big Data Data Integration Hub Oracle ACE Director Mark Rittman Oracle Data Integrator 12c (ODI12c), as well as being able to integrate and transform data from application and database data sources, also has the ability to load, transform and orchestrate data loads to and from Big Data sources. In this session, we'll look at ODI12c's ability to load data from Hadoop, Hive, NoSQL and file sources, transform that data using Hive and MapReduce processing across the Hadoop cluster, and then bulk-load that data into an Oracle Data Warehouse using Oracle Big Data Connectors. We will also look at how ODI12c enables ETL-offloading to a Hadoop cluster, with some tips and techniques on real-time capture into a Hadoop data reservoir and techniques and limitations when performing ETL on big data sources. [90 mins] Register now!

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  • I didn't mean to become a database developer, but now I am. Should I stop or try to get better?

    - by pretlow majette
    20 years ago I couldn't afford even a cheap POS program when I opened my first surf shop in the Virgin Islands. I bought a copy of Paradox (remember that?) in 1990 and spent months in a back room scratching out a POS application. Over many iterations, including a switch to Access (2000)/SQL Server (2003), I built a POS and backoffice solution that runs four stores with multiple cash registers, a warehouse and office. Until recently, all my stores were connected to the same LAN (in a small shopping center) and performance wasn't an issue. Now that we've opened a location in the States that's changed. Connecting to my local server via the internet has slowed that locations application to a crawl. This is partly due to the slow and crappy dsl service we have in the Virgin Islands, and partly due to my less-than-professional code and sql. With other far-away stores in the works, I need a better solution. I like my application. My staff knows it well, and I'm not inclined to take on the expense of a proper commercial solution. So where does that leave me? I should probably host my sql online to sidestep the slow dsl here. I think I can handle cleaning up my SQL querries to speed that up a bit. What about Access? My version seems so old, but I don't like the newer versions with the 'ribbon'. There are so many options... Should I be learning Visual Studio with an eye on moving completely to the web? Will my VBA skills help me at all there? I don't have the luxury of a year at the keyboard to figure it out anymore. What about dotnetnuke, sharepoint, or lightswitch? They all seem like possibilities, but even understanding their capabilities is daunting. I'm pretty deep into it, but maybe I should bail and hire a consultant or programmer. That sounds expensive tho, and there's no guarantee there either... Any advice would be greatly appreciated. Or, if anybody is interested in buying a small chain of surf shops...

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