Microsoft Big Data Solution datasheet

Microsoft Big Data Solution Key Benefits 

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Immersive insight, wherever you are, on any data with familiar Microsoft® Office and business intelligence (BI) tools. Connecting with the world’s data to unlock hidden patterns through a combination of internal and publicly available data and services, including social media sites. Any data, any size, anywhere through a modern data management platform that supports structured, unstructured, and real-time data with the simplicity of Microsoft Windows® and SQL Server, and the elastic scalability of the cloud.

Customer Challenges Today, organizations are struggling to gain business insight from the unprecedented volume of data they are capturing from internal and external sources, including social media sites. They want to easily mine, process, and analyze these huge amounts of unstructured data (such as files, images, videos, blogs, clickstreams, and geospatial data) in real time, without worrying about the required setup. Organizations are looking for an open and flexible platform that enables them

to deploy their solution on-premises or in the cloud.

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Flexible data management layer that supports all data types— structured, semi-structured, and unstructured data at rest or in motion.

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Enrichment layer for discovering, transforming, sharing, and governing data.

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Compelling suite of BI tools to help users gain insight from analytics.

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Deeper insights that combine an organization’s data with data and services from external sources. (The figure below shows the complete Big Data solution.)

Microsoft for Big Data Microsoft was taking advantage of Big Data long before it was popular. For example, Microsoft Bing™ analyzes over 100 petabytes of data to deliver highquality search results. Organizations can use the Microsoft Big Data solution to unleash business insights from their own structured and unstructured data through familiar tools like Microsoft Office and SharePoint®. It also enables customers to uncover new value by connecting to the world’s data and services. Microsoft has a comprehensive Big Data strategy to address the following key customer requirements:

parties through the Open Data Protocol (OData).

Solution Advantages Key advantages of the Microsoft Big Data solution are as follows:

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Immersive Insight, Wherever You Are Get actionable insights from all your structured and unstructured data using familiar BI tools. 

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Analyze Hadoop data with familiar tools: Interact with and analyze unstructured data in Hadoop from the familiar environment of Microsoft Excel® with the Hive add-in for Excel. Get immersive insights from any data: Use familiar BI tools like Microsoft SQL Server® Analysis Services (SSAS), PowerPivot, and Power View through the Hive Open Database Connectivity (ODBC) Driver to analyze unstructured data in Hadoop. Enable self-service BI offerings on relational data using PowerPivot and Power View in SQL Server 2012. Drive insights through simplified programming: Simplify programming on Hadoop through integration with .NET and new JavaScript libraries. Developers can use the new JavaScript libraries to easily write MapReduce programs in JavaScript, and then deploy their JavaScript code from a simple browser.

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Manage data of all types through a modern data platform. Enjoy the simplicity of Windows and SQL Server for Hadoop, extend your data warehouses with Hadoop, and take advantage of the elastic scalability of the cloud with Big Data. 

Unleash breakthrough discoveries by combining your data with publicly available data and services, including social media sites. Uncover hidden patterns using the applications and mining algorithms on Windows Azure™ Marketplace. Share and collaborate via Windows Azure Marketplace: Share data and uncover new insights through Windows Azure Marketplace, exposing hundreds of applications and data mining algorithms from Microsoft and third

Perform advanced analysis with Hadoop: Support for traditional BI as well as advanced analytics enables you to unlock new value from your data. The Hive ODBC Driver enables predictive analysis of data using SQL Server Data Mining tools. Other predictive analytical tools, like Mahout, are supported along with customized mining algorithms written in C++, C#, Python, Ruby, and Pearl.

Any Data, Any Size, Anywhere

Connecting with the World’s Data

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Integrate with social media: Enrich your analysis with publicly available data from social media sites (such as Twitter and Facebook). A Microsoft cloud-based project, codenamed "Social Analytics," allows you to integrate information from social media with business applications.

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Get the simplicity and manageability of Windows and SQL Server for Hadoop: Install and set up Hadoop on Windows in less than three hours instead of in weeks using smart packaging from Microsoft. Accelerate your deployment further with the cloud by deploying Hadoop in only 10 minutes with the Hadoop-based service on Windows Azure. Integration with Microsoft System Center allows IT to easily manage their Hadoop clusters just like any other IT asset. Integration with Active Directory® enables IT to secure their Hadoop cluster using enterprisebased security policies. Extend the data warehouse with Hadoop: Two new bidirectional Hadoop connectors, one for SQL Server and one for SQL Server

Parallel Data Warehouse, enable easy integration of Hadoop with Microsoft Enterprise Data Warehouses and BI solutions to gain deeper business insights from structured and unstructured data. 

Gain the scale and elasticity of the cloud: We offer two options for deploying Hadoop—in the cloud or on-premises. The Hadoop-based service on the Windows Azure platform offers elastic peta-scale analytics on the Microsoft cloud platform.

Giving Back to the Hadoop Community Unlike other competitors, Microsoft is broadening access by giving back to the Hadoop community through proposed changes to Apache Hadoop. In partnership with Hortonworks, Microsoft has already submitted its first proposal to Apache and is working on further proposals on new JavaScript libraries for Hadoop (being developed by Microsoft), as well as the Hive ODBC Driver.

Additional Information Get more information on Microsoft’s Big Data solution: www.microsoft.com/bigdata www.windowsazure.com/enus/home/scenarios/big-data/ Download the Microsoft SQL Server Connector for Apache Hadoop: http://www.microsoft.com/download/en /details.aspx?id=27584

Big Data will earn its place as the next “must have” competency in 2012. - IDC, Predictions for 2012: Competing for 2020, December 2011