4. Time until next coffee 55:00 30 minutes 15 minutes

5. Introduction to

6. Economics ▪ Agility ▪ Focus

7. Evolution toward highly-virtual and beyond to cloud

8. Microsoft On The Internet Global Foundation Services

9. Windows Azure By the Numbers

10. The Microsoft Cloud ~Globally Distributed Data Centers Quincy, WAChicago, ILSan Antonio, TXDublin, IrelandGeneration 4 DCs

11. Inside a Microsoft Data Center

12. t Compute Inactivity Period On and Off – Start/End Semester On & off workloads (e.g. batch job) Over provisioned capacity is wasted Time to market can be cumbersome t Unpredictable Bursting – Web demand Unexpected/unplanned peak in demand Sudden spike impacts performance Can’t over provision for extreme cases Compute t Predictable Burst – Registration Services with micro seasonality trends Peaks due to periodic increased demand IT complexity and wasted capacity Compute t Growing Fast – Research Project Successful services needs to grow/scale Keeping up w/ growth is big IT challenge Cannot provision hardware fast enough Compute

25. Microsoft Big Data Roadmap To accelerate the delivery of Microsoft’s Hadoop based solution for Windows Server and service for Windows Azure, Microsoft is announcing a partnership with Hortonworks Microsoft is committed to broadening accessibility and usage of Hadoop to end users, developers and IT professionals in organizations of all sizes Microsoft is announcing an end-to-end roadmap for Big Data that embraces Apache Hadoop TM by distributing enterprise class Hadoop based solutions on both Windows Server and Windows Azure Microsoft is extending its leadership in business intelligence and data warehousing to provide insights to all users by activating new types of data of any size

27. Your existing development team can immediately realise value The frameworks facilitate deterministic testing for highly reliable queries Complex logic is best expressed in programmatic form

28. Provision Execute De-provision

29. HDInsight in Azure 123456 4712

38. BatchInteractiveReal Time HadoopSQL / MySQLStorm SparkHadoop 2 / Tez / DrillSpark LuceneMongo Cassandra Windows Azure Table Storage Spark