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• Why do Cisco IOS routers hang in the middle of large downloads?

  - by cjavapro

  After a few years in use. We have seen Cisco 871 and 851 routers that would hang if you had a single download that was more than 100M large. It is intermittent. Sometimes the problem goes away, sometimes it happens on very small downloads (just a 10KB web page). It seems that the just about all the downloads eventually finish, but the bigger the download the longer the hang. Is there a way to resolve this? (short of router replacement which is what we have been doing)

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• Data take on with Drupal 6

  - by Robert MacLean

  We are migrating our current intranet to Drupal 6 and there is a lot of data within the current system which can be classified into: List data, general lists of fields. Common use is phone list of the employees phone numbers. Document repository. Just basically a web version of a file share for documents. I can easily get the data + meta infomation out, but how do I bulk upload the two types of data into Drupal, as uploading the hundred of thousands of items manually is just not acceptable.

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• Summing up spreadsheet data when a column contains “#N/A”

  - by Doris

  I am using Goggle Spreadsheet to work up some historical stock data and I use a Google function (=googlefinance=…) to import the historical closing prices for a stock, then I work with that data further. But, in that list of data generated from the =googlefinance=… function, one of the amounts comes up as #N/A. I don’t know why, but it happens for various symbols that I have tried. When I use a max function on the array, which includes the N/A line, the max function does not come up with anything but an N/A, so the N/A throws off any further functions. I thought I’d create a second column to the right of the imported data in which I can give it an IF function, something like, If ((A1 <0), "0", A1), with the expectation that it would return 0 if cell A1 is the N/A, and the cell value if it is not N/A. However, this still returns N/A. I also tried an IS BLANK function but that resulted in the same NA. Does anyone have any suggestions for a workaround to eliminate the N/A from an array of numbers that I am trying to work with?

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• Methodology behind fetching large XML data sets in pieces

  - by Jerry Dodge

  I am working on an HTTP Server in Delphi which simply sends back a custom XML dataset. I am not following any type of standard formatting, such as SOAP. I have the system working seamlessly, except one small flaw: When I have a very large dataset to send back to the client, it might take up to 2 minutes for all the data to be transferred. The HTTP Server I'm building is essentially an XML Data based API around a database, implementing the common business rule - therefore, the requests are specific to the data behind the system. When, for example, I fetch a large set of product data, I would like to break this down and send it back piece by piece. However, a single HTTP request calls for a single response. I can't necessarily keep feeding the client with multiple different XML packets unless the client explicitly requests it. I don't have any session management, but rather an API Key. I know if I had sessions, I could keep-alive a dataset temporarily for a client, and they could request bits and pieces of it. However, without session management, I would have to execute the SQL query multiple times (for each chunk of data), and in the mean-time, if that data changes, the "pages" might get messed up, therefore causing items to show on the wrong pages, after navigating to a different page. So how is this commonly handled? What's the methodology behind breaking down a large XML dataset into chunks to save the load?

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• TDWI World Conference Features Oracle and Big Data

  - by Mandy Ho

  Oracle is a Gold Sponsor at this year's TDWI World Conference Series, held at the Manchester Grand Hyatt in San Diego, California - July 31 to Aug 1. The theme of this event is Big Data Tipping Point: BI Strategies in the Era of Big Data. The conference features an educational look at how data is now being generated so quickly that organizations across all industries need new technologies to stay ahead - to understand customer behavior, detect fraud, improve processes and accelerate performance. Attendees will hear how the internet, social media and streaming data are fundamentally changing business intelligence and data warehousing. Big data is reaching critical mass - the tipping point. Oracle will be conducting the following Evening Workshop. To reserve your space, call 1.800.820.5592 ext 10775. Title...:    Integrating Big Data into Your Data Center (or A Big Data Reference Architecture) Date.:    Wed., August 1, 2012, at 7:00 p.m Venue:: Manchester Grand Hyatt, San Diego, Room Weblogs, Social Media, smart meters, senors and other devices generate high volumes of low density information that isn't readily accessible in enterprise data warehouses and business intelligence applications today. But, this data can have relevant business value, especially when analyzed alongside traditional information sources. In this session, we will outline a reference architecture for big data that will help you maximize the value of your big data implementation. You will learn: The key technologies in a big architecture, and their specific use case The integration point of the various technologies and how they fit into your existing IT environment How effectively leverage analytical sandboxes for data discovery and agile development of data driven solutions   At the end of this session you will understand the reference architecture and have the tools to implement this architecture at your company. Presenter: Jean-Pierre Dijcks, Senior Principal Product Manager Don't miss our booth and the chance to meet with our Big data experts on the exhibition floor at booth #306. 

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• Run database checks but omit large tables or filegroups - New option in Ola Hallengren's Scripts

  - by Greg Low

  One of the things I've always wanted in DBCC CHECKDB is the option to omit particular tables from the check. The situation that I often see is that companies with large databases often have only one or two very large tables. They want to run a DBCC CHECKDB on the database to check everything except those couple of tables due to time constraints. I posted a request on the Connect site about time some time ago: https://connect.microsoft.com/SQLServer/feedback/details/611164/dbcc-checkdb-omit-tables-option The workaround from the product team was that you could script out the checks that you did want to carry out, rather than omitting the ones that you didn't. I didn't overly like this as a workaround as clients often had a very large number of objects that they did want to check and only one or two that they didn't. I've always been impressed with the work that our buddy Ola Hallengren has done on his maintenance scripts. He pinged me recently about my old Connect item and said he was going to implement something similar. The good news is that it's available now. Here are some examples he provided of the newly-supported syntax: EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKDB' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKALLOC,CHECKTABLE,CHECKCATALOG', @Objects = 'AdventureWorks.Person.Address' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKALLOC,CHECKTABLE,CHECKCATALOG', @Objects = 'ALL_OBJECTS,-AdventureWorks.Person.Address' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKFILEGROUP,CHECKCATALOG', @FileGroups = 'AdventureWorks.PRIMARY' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKFILEGROUP,CHECKCATALOG', @FileGroups = 'ALL_FILEGROUPS,-AdventureWorks.PRIMARY' Note the syntax to omit an object from the list of objects and the option to omit one filegroup. Nice! Thanks Ola! You'll find details here: http://ola.hallengren.com/  

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• Run database checks but omit large tables or filegroups - New option in Ola Hallengren's Scripts

  - by Greg Low

  One of the things I've always wanted in DBCC CHECKDB is the option to omit particular tables from the check. The situation that I often see is that companies with large databases often have only one or two very large tables. They want to run a DBCC CHECKDB on the database to check everything except those couple of tables due to time constraints. I posted a request on the Connect site about time some time ago: https://connect.microsoft.com/SQLServer/feedback/details/611164/dbcc-checkdb-omit-tables-option The workaround from the product team was that you could script out the checks that you did want to carry out, rather than omitting the ones that you didn't. I didn't overly like this as a workaround as clients often had a very large number of objects that they did want to check and only one or two that they didn't. I've always been impressed with the work that our buddy Ola Hallengren has done on his maintenance scripts. He pinged me recently about my old Connect item and said he was going to implement something similar. The good news is that it's available now. Here are some examples he provided of the newly-supported syntax: EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKDB' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKALLOC,CHECKTABLE,CHECKCATALOG', @Objects = 'AdventureWorks.Person.Address' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKALLOC,CHECKTABLE,CHECKCATALOG', @Objects = 'ALL_OBJECTS,-AdventureWorks.Person.Address' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKFILEGROUP,CHECKCATALOG', @FileGroups = 'AdventureWorks.PRIMARY' EXECUTE dbo.DatabaseIntegrityCheck @Databases = 'AdventureWorks', @CheckCommands = 'CHECKFILEGROUP,CHECKCATALOG', @FileGroups = 'ALL_FILEGROUPS,-AdventureWorks.PRIMARY' Note the syntax to omit an object from the list of objects and the option to omit one filegroup. Nice! Thanks Ola! You'll find details here: http://ola.hallengren.com/  

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• How do you encode Algebraic Data Types in a C#- or Java-like language?

  - by Jörg W Mittag

  There are some problems which are easily solved by Algebraic Data Types, for example a List type can be very succinctly expressed as: data ConsList a = Empty | ConsCell a (ConsList a) consmap f Empty = Empty consmap f (ConsCell a b) = ConsCell (f a) (consmap f b) l = ConsCell 1 (ConsCell 2 (ConsCell 3 Empty)) consmap (+1) l This particular example is in Haskell, but it would be similar in other languages with native support for Algebraic Data Types. It turns out that there is an obvious mapping to OO-style subtyping: the datatype becomes an abstract base class and every data constructor becomes a concrete subclass. Here's an example in Scala: sealed abstract class ConsList[+T] { def map[U](f: T => U): ConsList[U] } object Empty extends ConsList[Nothing] { override def map[U](f: Nothing => U) = this } final class ConsCell[T](first: T, rest: ConsList[T]) extends ConsList[T] { override def map[U](f: T => U) = new ConsCell(f(first), rest.map(f)) } val l = (new ConsCell(1, new ConsCell(2, new ConsCell(3, Empty))) l.map(1+) The only thing needed beyond naive subclassing is a way to seal classes, i.e. a way to make it impossible to add subclasses to a hierarchy. How would you approach this problem in a language like C# or Java? The two stumbling blocks I found when trying to use Algebraic Data Types in C# were: I couldn't figure out what the bottom type is called in C# (i.e. I couldn't figure out what to put into class Empty : ConsList< ??? >) I couldn't figure out a way to seal ConsList so that no subclasses can be added to the hierarchy What would be the most idiomatic way to implement Algebraic Data Types in C# and/or Java? Or, if it isn't possible, what would be the idiomatic replacement?

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• Picking Core Language For Large Scale Web Platform

  - by ryanzec

  Now I have work with PHP and ASP.NET quite a bit and also played around few other language for web development. I am now at a point where need to start building a backend platform that will have the ability to support a large set of applications and I am trying to figure out which language I want to choose as my core language. When I say core language I mean the language that the majority of the backend code is going to be in. This is not to say that other languages won't be used because my guess is that they will but I want a large majority of the code (90%-98%) to be in 1 language. While I see to benefit of using the language that is best for the job, having 15% in php, 15% in ASP.NET, 5% in perl, 10% in python, 15% in ruby, etc… seems like a very bad idea to me (not to mention integrating everything seamlessly would probably add a bit of overhead). If you were going to be building a large scale web platform that need to support multiple applications from scratch, what would you choose as your core language and why?

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• Why is my ServiceOperation method missing from my WCF Data Services client proxy code?

  - by Kev

  I have a simple WCF Data Services service and I want to expose a Service Operation as follows: [System.ServiceModel.ServiceBehavior(IncludeExceptionDetailInFaults = true)] public class ConfigurationData : DataService<ProductRepository> { // This method is called only once to initialize service-wide policies. public static void InitializeService(IDataServiceConfiguration config) { config.SetEntitySetAccessRule("*", EntitySetRights.ReadMultiple | EntitySetRights.ReadSingle); config.SetServiceOperationAccessRule("*", ServiceOperationRights.All); config.UseVerboseErrors = true; } // This operation isn't getting generated client side [WebGet] public IQueryable<Product> GetProducts() { // Simple example for testing return (new ProductRepository()).Product; } Why isn't the GetProducts method visible when I add the service reference on the client?

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• How to Convert multiple sets of Data going from left to right to top to bottom the Pythonic way?

  - by ThinkCode

  Following is a sample of sets of contacts for each company going from left to right. ID Company ContactFirst1 ContactLast1 Title1 Email1 ContactFirst2 ContactLast2 Title2 Email2 1 ABC John Doe CEO [email protected] Steve Bern CIO [email protected] How do I get them to go top to bottom as shown? ID Company Contactfirst ContactLast Title Email 1 ABC John Doe CEO [email protected] 1 ABC Steve Bern CIO [email protected] I am hoping there is a Pythonic way of solving this task. Any pointers or samples are really appreciated! p.s : In the actual file, there are 10 sets of contacts going from left to right and there are few thousand such records. It is a CSV file and I loaded into MySQL to manipulate the data.

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• How to add data manually in core data entity

  - by pankaj

  Hi I am working on core data for the first time. I have just created an entity and attributes for that entity. I want to add some data inside the entity(u can say i want to add data in a table), earlier i when i was using sqlite, i would add data using terminal. But here in core data i am not able to find a place where i can manually add data. I just want to add data in entity and display it in a UITableView. I have gone through the the documentation of core data but it does not explain how to add data manually although it explains how i can add it programmiticaly but i dont need to do it programically. I want to do it manually. Thanks in advance

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• C++ a class with an array of structs, without knowing how large an array I need

  - by Dominic Bou-Samra

  New to C++, and for that matter OO programming. I have a class with fields like firstname, age, school etc. I need to be able to store other information like for instance, where they have travelled, and what year it was in. I cannot declare another class specifically to hold travelDestination and what year, so I think a struct might be best. This is just an example: struct travel { string travelDest; string year; }; The issue is people are likely to have travelled different amounts. I was thinking of just having an array of travel structs to hold the data. But how do I create a fixed sized array to hold them, without knowing how big I need it to be? Perhaps I am going about this the completely wrong way, so any suggestions as to a better way would be appreciated.

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• What would you recommend for a large-scale Java data grid technology: Terracotta, GigaSpaces, Cohere

  - by cliff.meyers

  I've been reading up on so-called "data grid" solutions for the Java platform including Terracotta, GigaSpaces and Coherence. I was wondering if anyone has real-world experience working any of these tools and could share their experience. I'm also really curious to know what scale of deployment people have worked with: are we talking 2-4 node clusters or have you worked with anything significantly larger than that? I'm attracted to Terracotta because of its "drop in" support for Hibernate and Spring, both of which we use heavily. I also like the idea of how it decorates bytecode based on configuration and doesn't require you to program against a "grid API." I'm not aware of any advantages to tools which use the approach of an explicit API but would love to hear about them if they do in fact exist. :) I've also spent time reading about memcached but am more interested in hearing feedback on these three specific solutions. I would be curious to hear how they measure up against memcached in the event someone has used both.

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• How do I set default values on new properties for existing entities after light weight core data migration?

  - by Moritz

  I've successfully completed light weight migration on my core data model. My custom entity Vehicle received a new property 'tirePressure' which is an optional property of type double with the default value 0.00. When 'old' Vehicles are fetched from the store (Vehicles that were created before the migration took place) the value for their 'tirePressure' property is nil. (Is that expected behavior?) So I thought: "No problem, I'll just do this in the Vehicle class:" - (void)awakeFromFetch { [super awakeFromFetch]; if (nil == self.tirePressure) { [self willChangeValueForKey:@"tirePressure"]; self.tirePressure = [NSNumber numberWithDouble:0.0]; [self didChangeValueForKey:@"tirePressure"]; } } Since "change processing is explicitly disabled around" awakeFromFetch I thought the calls to willChangeValueForKey and didChangeValueForKey would mark 'tirePresure' as dirty. But they don't. Every time these Vehicles are fetched from the store 'tirePressure' continues to be nil despite having saved the context.

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• How do you verify the correct data is in a data mart?

  - by blockcipher

  I'm working on a data warehouse and I'm trying to figure out how to best verify that data from our data cleansing (normalized) database makes it into our data marts correctly. I've done some searches, but the results so far talk more about ensuring things like constraints are in place and that you need to do data validation during the ETL process (E.g. dates are valid, etc.). The dimensions were pretty easy as I could easily either leverage the primary key or write a very simple and verifiable query to get the data. The fact tables are more complex. Any thoughts? We're trying to make this very easy for a subject matter export to run a couple queries, see some data from both the data cleansing database and the data marts, and visually compare the two to ensure they are correct.

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• What is a good approach for a Data Access Layer?

  - by Adil Mughal

  Our software is a customized Human Resource Management System (HRMS) using ASP.NET with Oracle as the database and now we are actually moving to make it a product that supports multiple tenants with their own databases. Our options: Use NHibernate to support Multiple databases and use of OO. But we concern related to NHibernate learning curve and any problem we faced. Make a generalized DAL which will continue working with Oracle using stored procedures and use tools to convert it to other databases such as SQL Server or MySql. There is a risk associated with having to support multiple database-dependent versions of a single script. Provide the software as a Service (SaaS) and maintain the way we conduct business. However there can may be clients who do not want or trust the Cloud or other SaaS business models. With this in mind, what's the best Data access layer technique?

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• Select data from three different tables with null data

  - by user3678972

  I am new in Sql. My question is how to get data from three different tables with null values. I have tried a query as below: SELECT * FROM [USER] JOIN [Location] ON ([Location].UserId = [USER].Id) JOIN [ParentChild] ON ([ParentChild].UserId = [USER].Id) WHERE ParentId=7 which I find from this link. Its working fine but, it not fetches all and each data associated with the ParentId Something like it only fetches data which are available in all tables, but also omits some data which not available in Location tables but it comes under the given ParentId. For example: UserId ParentId 1 7 8 7 For userId 8, there is data available in Location table,so it fetches all data. But there is no data for userId 1 available in Location table, so the query didn't work for this. But I want all and every data. If there is no data for userId then it can return only null columns. Is it possible ?? hope everyone can understand my problem.

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• How does Core Data determine if an NSObjects data can be dropped?

  - by Kevin

  In the app I am working on now I was storing about 500 images in Core Data. I have since pulled those images out and store them in the file system now, but in the process I found that the app would crash on the device if I had an array of 500 objects with image data in them. An array with 500 object ids with the image data in those objects worked fine. The 500 objects without the image data also worked fine. I found that I got the best performance with both an array of object ids and image data stored on the filesystem instead of in core data. The conclusion I came to was that if I had an object in an array that told Core Data I was "using" that object and Core Data would hold on to the data. Is this correct?

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• How to handle encryption key conflicts when synchronizing data?

  - by Rafael

  Assume that there is data that gets synchronized between several devices. The data is protected with a symmetric encryption algorithm and a key. The key is stored on each device and encrypted with a password. When a user changes the password only the key gets re-encrypted. Under normal circumstances, when there is a good network connection to other peers, the current key gets synchronized and all data on the new device gets encrypted with the same key. But how to handle situations where a new device doesn’t have a network connection and e.g. creates its own new, but incompatible key? How to keep the usability as high as possible under such circumstances? The application could detect that there is no network and hence refuse to start. That’s very bad usability in my opinion, because the application isn’t functional at all in this case. I don’t consider this a solution. The application could ignore the missing network connection and create a new key. But what to do when the application gains a network connection? There will be several incompatible keys and some parts of the underlying data could only be encrypted with one key and other parts with another key. The situation would get worse if there would be more keys than just two and the application would’ve to ask every time for a password when another object that should get decrypted with another key would be needed. It is very messy and time consuming to try to re-encrypt all data that is encrypted with another key with a main key. What should be the main key at all in this case? The oldest key? The key with the most encrypted objects? What if the key got synchronized but not all objects that got encrypted with this particular key? How should the user know for which particular password the application asks and why it takes probably very long to re-encrypt the data? It’s very hard to describe encryption “issues” to users. So far I didn’t find an acceptable solution, nor some kind of generic strategy. Do you have some hints about a concrete strategy or some books / papers that describe synchronization of symmetrically encrypted data with keys that could cause conflicts?

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• How to switch from Core Data automatic lightweight migration to manual?

  - by Jaanus

  My situation is similar to this question. I am using lightweight migration with the following code, fairly vanilla from Apple docs and other SO threads. It runs upon app startup when initializing the Core Data stack. NSDictionary *options = [NSDictionary dictionaryWithObjectsAndKeys: [NSNumber numberWithBool:YES], NSMigratePersistentStoresAutomaticallyOption, [NSNumber numberWithBool:YES], NSInferMappingModelAutomaticallyOption, nil]; NSError *error = nil; NSString *storeType = nil; if (USE_SQLITE) { // app configuration storeType = NSSQLiteStoreType; } else { storeType = NSBinaryStoreType; } persistentStoreCoordinator = [[NSPersistentStoreCoordinator alloc] initWithManagedObjectModel:[self managedObjectModel]]; // the following line sometimes crashes on app startup if (![persistentStoreCoordinator addPersistentStoreWithType:storeType configuration:nil URL:[self persistentStoreURL] options:options error:&error]) { // handle the error } For some users, especially with slower devices, I have crashes confirmed by logs at the indicated line. I understand that a fix is to switch this to manual mapping and migration. What is the recipe to do that? The long way for me would be to go through all Apple docs, but I don't recall there being good examples and tutorials specifically for schema migration.

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• Core data migration failing with "Can't find model for source store" but managedObjectModel for source is present

  - by Ira Cooke

  I have a cocoa application using core-data, which is now at the 4th version of its managed object model. My managed object model contains abstract entities but so far I have managed to get migration working by creating appropriate mapping models and creating my persistent store using addPersistentStoreWithType:configuration:options:error and with the NSMigratePersistentStoresAutomaticallyOption set to YES. NSDictionary *optionsDictionary = [NSDictionary dictionaryWithObject:[NSNumber numberWithBool:YES] forKey:NSMigratePersistentStoresAutomaticallyOption]; NSURL *url = [NSURL fileURLWithPath: [applicationSupportFolder stringByAppendingPathComponent: @"MyApp.xml"]]; NSError *error=nil; [theCoordinator addPersistentStoreWithType:NSXMLStoreType configuration:nil URL:url options:optionsDictionary error:&error] This works fine when I migrate from model version 3 to 4, which is a migration that involves adding attributes to several entities. Now when I try to add a new model version (version 5), the call to addPersistentStoreWithType returns nil and the error remains empty. The migration from 4 to 5 involves adding a single attribute. I am struggling to debug the problem and have checked all the following; The source database is in fact at version 4 and the persistentStoreCoordinator's managed object model is at version 5. The 4-5 mapping model as well as managed object models for versions 4 and 5 are present in the resources folder of my built application. I've tried various model upgrade paths. Strangely I find that upgrading from an early version 3 - 5 works .. but upgrading from 4 - 5 fails. I've tried adding a custom entity migration policy for migration of the entity whose attributes are changing ... in this case I overrode the method beginEntityMapping:manager:error: . Interestingly this method does get called when migration works (ie when I migrate from 3 to 4, or from 3 to 5 ), but it does not get called in the case that fails ( 4 to 5 ). I'm pretty much at a loss as to where to proceed. Any ideas to help debug this problem would be much appreciated.

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• Bridging the Gap in Cloud, Big Data, and Real-time

  - by Dain C. Hansen

  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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} With all the buzz of around big data and cloud computing, it is easy to overlook one of your most precious commodities—your data. Today’s businesses cannot stand still when it comes to data. Market success now depends on speed, volume, complexity, and keeping pace with the latest data integration breakthroughs. Are you up to speed with big data, cloud integration, real-time analytics? Join us in this three part blog series where we’ll look at each component in more detail. Meet us online on October 24th where we’ll take your questions about what issues you are facing in this brave new world of integration. Let’s start first with Cloud. What happens with your data when you decide to implement a private cloud architecture? Or public cloud? Data integration solutions play a vital role migrating data simply, efficiently, and reliably to the cloud; they are a necessary ingredient of any platform as a service strategy because they support cloud deployments with data-layer application integration between on-premise and cloud environments of all kinds. For private cloud architectures, consolidation of your databases and data stores is an important step to take to be able to receive the full benefits of cloud computing. Private cloud integration requires bidirectional replication between heterogeneous systems to allow you to perform data consolidation without interrupting your business operations. In addition, integrating data requires bulk load and transformation into and out of your private cloud is a crucial step for those companies moving to private cloud. In addition, the need for managing data services as part of SOA/BPM solutions that enable agile application delivery and help build shared data services for organizations. But what about public Cloud? If you have moved your data to a public cloud application, you may also need to connect your on-premise enterprise systems and the cloud environment by moving data in bulk or as real-time transactions across geographies. For public and private cloud architectures both, Oracle offers a complete and extensible set of integration options that span not only data integration but also service and process integration, security, and management. For those companies investing in Oracle Cloud, you can move your data through Oracle SOA Suite using REST APIs to Oracle Messaging Cloud Service —a new service that lets applications deployed in Oracle Cloud securely and reliably communicate over Java Messaging Service . As an example of loading and transforming data into other public clouds, Oracle Data Integrator supports a knowledge module for Salesforce.com—now available on AppExchange. Other third-party knowledge modules are being developed by customers and partners every day. To learn more about how to leverage Oracle’s Data Integration products for Cloud, join us live: Data Integration Breakthroughs Webcast on October 24th 10 AM PST.

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• How to Secure a Data Role by Multiple Business Units

  - by Elie Wazen

  In this post we will see how a Role can be data secured by multiple Business Units (BUs).  Separate Data Roles are generally created for each BU if a corresponding data template generates roles on the basis of the BU dimension. The advantage of creating a policy with a rule that includes multiple BUs is that while mapping these roles in HCM Role Provisioning Rules, fewer number of entires need to be made. This could facilitate maintenance for enterprises with a large number of Business Units. Note: The example below applies as well if the securing entity is Inventory Organization. Let us take for example the case of a user provisioned with the "Accounts Payable Manager - Vision Operations" Data Role in Fusion Applications. This user will be able to access Invoices in Vision Operations but will not be able to see Invoices in Vision Germany. Figure 1. A User with a Data Role restricting them to Data from BU: Vision Operations With the role granted above, this is what the user will see when they attempt to select Business Units while searching for AP Invoices. Figure 2.The List Of Values of Business Units is limited to single one. This is the effect of the Data Role granted to that user as can be seen in Figure 1 In order to create a data role that secures by multiple BUs,  we need to start by creating a condition that groups those Business Units we want to include in that data role. This is accomplished by creating a new condition against the BU View .  That Condition will later be used to create a data policy for our newly created Role.  The BU View is a Database resource and  is accessed from APM as seen in the search below Figure 3.Viewing a Database Resource in APM The next step is create a new condition,  in which we define a sql predicate that includes 2 BUs ( The ids below refer to Vision Operations and Vision Germany).  At this point we have simply created a standalone condition.  We have not used this condition yet, and security is therefore not affected. Figure 4. Custom Role that inherits the Purchase Order Overview Duty We are now ready to create our Data Policy.  in APM, we search for our newly Created Role and Navigate to “Find Global Policies”.  we query the Role we want to secure and navigate to view its global policies. Figure 5. The Job Role we plan on securing We can see that the role was not defined with a Data Policy . So will create one that uses the condition we created earlier.   Figure 6. Creating a New Data Policy In the General Information tab, we have to specify the DB Resource that the Security Policy applies to:  In our case this is the BU View Figure 7. Data Policy Definition - Selection of the DB Resource we will secure by In the Rules Tab, we  make the rule applicable to multiple values of the DB Resource we selected in the previous tab.  This is where we associate the condition we created against the BU view to this data policy by entering the Condition name in the Condition field Figure 8. Data Policy Rule The last step of Defining the Data Policy, consists of  explicitly selecting  the Actions that are goverened by this Data Policy.  In this case for example we select the Actions displayed below in the right pane. Once the record is saved , we are ready to use our newly secured Data Role. Figure 9. Data Policy Actions We can now see a new Data Policy associated with our Role.  Figure 10. Role is now secured by a Data Policy We now Assign that new Role to the User.  Of course this does not have to be done in OIM and can be done using a Provisioning Rule in HCM. Figure 11. Role assigned to the User who previously was granted the Vision Ops secured role. Once that user accesses the Invoices Workarea this is what they see: In the image below the LOV of Business Unit returns the two values defined in our data policy namely: Vision Operations and Vision Germany Figure 12. The List Of Values of Business Units now includes the two we included in our data policy. This is the effect of the data role granted to that user as can be seen in Figure 11

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• First Day of Data Integration Track at Oracle OpenWorld 2012

  - by Irem Radzik

  OpenWorld started full speed for us today with a great set of sessions in the Data Integration track. After the exciting keynote session on Oracle Database 12c in the morning; Brad Adelberg, VP of Development for Data Integration products, presented Oracle’s data integration product strategy. His session highlighted the new requirements for data integration to achieve pervasive and continuous access to trusted data. The new requirements and product focus areas presented in this session are: Provide access to any data at any source On premise or on cloud Enable zero downtime operations and maximum performance Leverage real-time data for accurate business insights And ensure high quality data is used across the enterprise During the session Brad walked over how Oracle’s data integration products, Oracle Data Integrator, Oracle GoldenGate, Oracle Enterprise Data Quality, and Oracle Data Service Integrator, deliver on these requirements and how recent product releases build on this strategy. Soon after Brad’s session we heard from a panel of Oracle GoldenGate customers, St. Jude Medical, Equifax, and Bank of America, how they achieved zero downtime operations using Oracle GoldenGate. The panel presented different use cases of GoldenGate, from Active-Active replication to offloading reporting. Especially St. Jude Medical’s implementation, which involves the alert management system for patients that use their pacemakers, reminded me in some cases downtime of mission-critical systems can be a matter of life or death. It is very comforting to hear that GoldenGate delivers highly-reliable continuous availability for life-saving medical systems. In the afternoon, Nick Wagner from the Product Management team and I followed the customer panel with the review of Oracle GoldenGate 11gR2’s New Features.  Many questions we received from audience were about GoldenGate’s new Integrated Capture for Oracle Database and the enhanced Conflict Management features, as well as how GoldenGate compares to Oracle Streams. In addition to giving details on GoldenGate’s unique capability to capture changed data with a direct integration to the Oracle DBMS engine, we reminded the audience that enhancements to Oracle GoldenGate will continue, while Streams will be primarily maintained. Last but not least, Tim Garrod and Ryan Fonnett from Raymond James presented a unified real-time data integration solution using Oracle Data Integrator and GoldenGate for their operational data store (ODS). The ODS supports application services across the enterprise and providing timely data is a critical requirement. In this solution, Oracle GoldenGate does the log-based change data capture for Oracle Data Integrator’s near real-time data integration between heterogeneous systems. As Raymond James’ ODS supports mission-critical services for their advisors, the project team had to set up this integration environment to be highly available. During the session, Ryan and Tim explained how they use ODI to enable automated process execution and “always-on” integration processes. Their presentation included 2 demonstrations that focused on CDC patterns deployed with ODI and the automated multi-instance execution and monitoring. We are very grateful to Tim and Ryan for their very-well prepared presentation at OpenWorld this year. Day 2 (Tuesday) will be also a busy day in our track. In addition to the Fusion Middleware Innovation Awards ceremony at 11:45am at Moscone West 3001, we have the following DI sessions Real-World Operational Reporting Customer Panel 11:45am Moscone West- 3005 Oracle Data Integrator Product Update and Future Strategy 1:15pm Moscone West- 3005 High-volume OLTP with Oracle GoldenGate: Best Practices from Comcast 1:15pm Moscone West- 3005 Everything You need to Know about Monitoring Oracle GoldenGate 5pm Moscone West-3005 If you are at OpenWorld please join us in these sessions. For a full review of data integration track at OpenWorld please see our Focus-On document.

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