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• SQL SERVER – Winners – Contest Win Joes 2 Pros Combo (USD 198)

  - by pinaldave

  Earlier this week we had contest ran over the blog where we are giving away USD 198 worth books of Joes 2 Pros. We had over 500+ responses during the five days of the contest. After removing duplicate and incorrect responses we had a total of 416 valid responses combined total 5 days. We got maximum correct answer on day 2 and minimum correct answer on day 5. Well, enough of the statistics. Let us go over the winners’ names. The winners have been selected randomly by one of the book editors of Joes 2 Pros. SQL Server Joes 2 Pros Learning Kit 5 Books Day 1 Winner USA: Philip Dacosta India: Sandeep Mittal Day 2 Winner USA: Michael Evans India: Satyanarayana Raju Pakalapati Day 3 Winner USA: Ratna Pulapaka India: Sandip Pani Day 4 Winner USA: Ramlal Raghavan India: Dattatrey Sindol Day 5 Winner USA: David Hall India: Mohit Garg I congratulate all the winners for their participation. All of you will receive emails from us. You will have to reply the email with your physical address. Once you receive an email please reply within 3 days so we can ship the 5 book kits to you immediately. Bonus Winners Additionally, I had announced that every day I will select a winner from the readers who have left comments with their favorite blog post. Here are the winners with their favorite blog post. Day 1: Prasanna kumar.D [Favorite Post] Day 2: Ganesh narim [Favorite Post] Day 3: Sreelekha [Favorite Post] Day 4: P.Anish Shenoy [Favorite Post] Day 5: Rikhil [Favorite Post] All the bonus winners will receive my print book SQL Wait Stats if your shipping address is in India or Pluralsight Subscription if you are outside India. If you are not winner of the contest but still want to learn SQL Server you can get the book from here. Amazon | 1 | 2 | 3 | 4 | 5 | Flipkart | Indiaplaza Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Joes 2 Pros, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• SQL Azure Pricing

  - by kaleidoscope

  Microsoft’s pricing for SQL Server in the cloud, SQLAzure has been announced: $9.99   per month for 0 – 1GB $99.99 per month up to 10GB. There’s currently a 10GB maximum size cap for SQLAzure. For larger data storage needs, you’ll need to break the databases into smaller sizes. Scaling SQL Azure Applications If you think you’re going to need 100GB in the near term, it probably makes sense to break your application up into multiple separate databases from the get-go (10 x $9.99 = $99.99 anyway) and just make really sure none of the individual databases exceed 10GB. Beep Beep, Back That Database Up The bandwidth costs for SQL Azure are $.15 per GB of outbound bandwidth.  Assuming that you don’t compress the data before you pull it out of the cloud, that means daily backups of a 1GB database will add another $4.50 per month, and a 10GB database will add another $45/month.  Daily backups will cost about half of what your monthly service charges cost. It’s not completely clear from the press release, but if Microsoft follows Amazon’s pricing model, bandwidth between the Microsoft cloud services will not incur a cost.  That would mean it might make sense to spin up an Windows Azure computing application for $.12 per hour, use that application to compress your SQL Azure database, and then send the compressed data off to Azure storage for backup.  That would eliminate the data in/out costs, and minimize the Azure storage costs ($.15/GB).  Database administrators would back up their SQL Azure data to Azure Storage, keep a history of backups there, and restore them to SQL Azure faster when needed. Of course, there’s no native backup support in SQL Azure, and it’s not clear whether Windows Azure will include tools like SQL Server Integration Services. More details can be found at http://www.brentozar.com/archive/2009/07/sql-azure-pricing-10-for-1gb-100-for-10gb/   Anish, S

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• Microsoft Sync Framework

  - by kaleidoscope

  Introduction It is a platform that enables collaboration and offline access for applications, services and devices. Sync framework features technologies and tools that enable roaming, data sharing and taking data offline. Moreover, developers can build synchronization ecosystems that integrate any application with data from any store, by using any protocol over any network. Highlights * Add sync support to new and existing applications, services and devices * Enable collaboration and offline capabilities for any application * Roam and share information form any data store, over any protocol and over any network configuration * Leverage sync capabilities exposed in Microsoft technologies to create sync ecosystems * Extend the architecture to support custom data types including files Benefits of using Sync Framework * An extensible model that lets you integrate multiple data sources into a synchronization ecosystems. * A managed API for all components and a native API for select components. * Conflict handling for automatic and custom resolution schemes. * Filters that let you synchronize a subset of data, such as only those files that contain images. * A compact and efficient metadata model that enables synchronization for virtually any participant, without significant changes to the data store: - Any data store     Add synchronization to a wide range of applications, services and devices. - Any data type     Introduce new data types to synchronize. - Any protocol     Use existing architectures and protocols to synchronize data. The transport – agnostic architecture allows integration of synchronization into a variety of protocols, including over-the-air and embedded devices. - Any network configuration     Enable synchronization for your applications, devices and services in true peer-to-peer or hub-and-spoke configurations. Easily recover from network interruptions. Reduce network traffic by efficiently selecting changes to synchronize. Technorati Tags: Anish Sharma,Microsoft Sync Framework

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• Distribute Sort Sample Service

  - by kaleidoscope

  How it works? Using the front-end of the service, a user can specify a size in MB for the input data set to sort. Algorithm CreateAndSplit The CreateAndSplit task generates the input data and stores them as 10 blobs in the utility storage. The URLs to these blobs are packaged as Separate work items and written to the queue. · Separate The Separate task reads the blobs with the random numbers created in the CreateAndSplit task and places the random numbers into buckets. The interval of the numbers that go into one bucket is chosen so that the expected amount of numbers (assuming a uniform distribution of the numbers in the original data set) is around 100 kB. Each bucket is represented as a blob container in utility storage. Whenever there are 10 blobs in one bucket (i.e., the placement in this bucket is complete because we had 10 original splits), the separate task will generate a new Sort task and write the task into the queue. · Sort The Sort task merges all blobs in a single bucket and sorts them using a standard sort algorithm. The result is stored as a blob in utility storage. · Concat The concat task merges the results of all Sort tasks into a single blob. This blob can be downloaded as a text file using this Web page. As the resulting file is presented in text format, the size of the file is likely to be larger than the specified input file. Anish

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