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Dealing with the Data Deluge: Understanding the Application Platform Opportunity

AP004 Infrastructure & Platform. Dealing with the Data Deluge: Understanding the Application Platform Opportunity . Jack Tang APAC Application Platform Marketing Director Microsoft Asia Pacific Darien Nagle Application Platform Solution Specialist Microsoft Brisbane.

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Dealing with the Data Deluge: Understanding the Application Platform Opportunity

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  1. AP004 Infrastructure & Platform Dealing with the Data Deluge: Understanding the Application Platform Opportunity Jack Tang APAC Application Platform Marketing DirectorMicrosoft Asia Pacific Darien NagleApplication Platform Solution SpecialistMicrosoft Brisbane

  2. The World of Data is Changing Dataexplosion 10x increase every five years Hadoop Cheap, distributed storage & processing 85%from new data types Volume Velocity Variety Easy accessibility of external data Cloud By 2015, organizations that build a modern information management system will outperform their peers financially by 20 percent. – Gartner, Mark Beyer, “Information Management in the 21st Century”

  3. Big data is a growth OPPORTUNITY for partners Big Data is a Big Priority for Customers Big Data Services Growth 39% compound annual growth rate2 Big Data Software Growth McKinsey&Company, McKinsey Global Survey Results, Minding Your Digital Business, 2012 IDC Market Analysis, Worldwide Big Data Technology and Services 2012–2015 Forecast , 2012 34% compound annual growth rate2 49% of top CEOs and CIOs are currently using Big Data for customer analytics1

  4. Common Big Data Customer ScenariosGain competitive advantage by moving first and fast in your industry IT infrastructure optimization Legal discovery Social network analysis Traffic flow optimization Web app optimization Weather forecasting Healthcare outcomes Natural resource exploration Churn analysis Fraud detection Life sciences research Advertising analysis Equipment monitoring Smart meter monitoring

  5. New opportunities Thai Department of Special Investigation Revenue Growth Increases ad revenue by processing 3.5 billion events per day Businesses Innovation Measures and ranks online user influence by processing 3 billion signals per day Operational Efficiencies Improving investigation time by analyzing large volume & variety of data Massive Volumes Processes 464 billion rows per quarter, with average query time under 10 secs. Cloud Connectivity Connects across 15 social networks via the cloud for data and API access Real-Time Insight Cut investigation time from 2 years to 15 days

  6. Hype Cycle for Big Data, 2012.

  7. Big Data Requires a Holistic ApproachThat Leverages Traditional and New Capabilities TRADITIONAL Relational Database Management System NEW Petabyte-Scale Services

  8. Microsoft’s Approach to Big Data • Analyze Big Data with familiar tools • Immersive insights from any data • JavaScript based simple programming • Share your data with the world via Azure Marketplace • Enrich with social media data via Social Analytics • Advanced analytics with Hadoop • Simplicity and manageability of Windows to Hadoop • Extended data warehousing with Hadoop • Scale and elasticity of cloud Connecting with the world’s data Any data, any size, anywhere Immersive insight, wherever you are

  9. A Holistic Big Data Solution from MicrosoftSpanning relational and non-relational worlds INSIGHTS Self-service Mobile Operational Real-time Predictive Collaborative DATA ENRICHMENT External Data and Services MARKETPLACE Discover and recommend Share and govern Transform and clean DATA MANAGEMENT 1 1 1 0 1 0 Relational Non-relational Multidimensional Streaming

  10. What is Hadoop? • New scale out system for processing peta-scale data • Ideal for unstructured data • Changes economics of large scale data processing • Through the use of commodity servers Oozie (Workflow) Traditional BI Tools HBase / Cassandra (Columnar NoSQL Databases) Hive (Warehouse and Data Access) Karmasphere (Development Tool) Apache Mahout Flume Sqoop Pig (Data Flow) Zookeeper (Coordination) Avro (Serialization) Hadoop = MapReduce + HDFS HBase (Column DB) MapReduce (Job Scheduling/Execution System) HDFS (Hadoop Distributed File System)

  11. DEMO: From Data to Insights! Simplicity Analysis with familiar tools Collaboration on insights

  12. SQL Server Data Warehousing OptionsFlexibility and Choice appliances Reference architectures Software • Deliver hardware and software separately containing pre-tested, pre-tuned configuration best practices • Appliances deliver a solution with hardware and software already integrated, tested, tuned, configured • Customers acquire and tune the software to their own hardware without guidance. • Offerings • SQL Server 2008 R2 • SQL Server 2012 • Customers acquire and tune the software to their own hardware without guidance Low – Mid Variable to High Low Effort to build Effort to build Effort to build Mid Low Low Tuning Tuning Tuning Flexibility in configuration Flexibility in configuration Flexibility in configuration High Mid Low Initial price investment Initial price investment Initial price investment SW HW Low Mid – High • Offerings • Fast Track for SQL Server 2012 • Fast Track for SQL Server 2008 R2 • Offerings • Parallel Data Warehouse • BDW, SDW • HP Factory Express • Offerings • SQL Server 2008 R2 • SQL Server 2012

  13. Thai Law enforcement agency optimizes investigations with big data solutionMicrosoft Big data and PowerView “With the traditional approach, it took two years to search for tips and collect evidence to analyze. With the Microsoft Big Data solution, it took only 15 days.” Police Colonel YannaphonYoungyuen Department of Special Investigation, Ministry of Justice, Thailand BENEFITS Improved efficiency of investigating officers Cut investigation time from two years to 15 days Gained platform for future optimization SITUATION Thailand’s Department of Special Investigation needed a better BI and data-mining solution so it could improve the speed and accuracy of its investigation in criminal cases.

  14. Wrapping up Leverage existing skills Come talk to us at the booth Sign up for the Hadoop on Azure program Evangelise PowerPivot and Power View

  15. Visit the Microsoft Showcase:See | Learn | Connect Services & Devices Exhibitors & Sponsors Infrastructure & Platforms Business Applications Immersion Experiences

  16. Partner Network Infrastructure & Platforms • Benefits • Presales support • Technical and Sales training • Competency Changes • Server Platform” – Exam Changes (Nov’12) • “Management & Virtualization” – Exam Changes (May’13) Build Your Capabilities Visit the Partner Learning Center! http://aka.ms/partnerlearning $ Solution Incentive Program Incentives available for Windows, Lync, SQL Server and System Center

  17. To score this session Your feedbackisimportant to us Visit aka.ms/connect

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