1. SQL Server Evolution New innovations Jen Underwood Sr. Program Manager of Business Intelligence & Analytics Microsoft George Walters Sr. Technical Solutions Professional, Data Platform Microsoft

2. MobileReports Natural language queryDashboardsApplications Streaming Relational Internal & external Non-relational NoSQL Orchestration Machine learningModeling Information management Complex event processing Dat a The Microsoft data platform

3. Cloud first Speed Agility Proven Feedback

4. All of this results in a better on-premises SQL Server Announcing SQL Server 2016

5. Do more. Achieve more.

6. 0100101010110 SQL Server OLTP SQL Server data warehouse ETL In-memory ColumnStore In-memory OLTP Real-time fraud detection In-memory enhancements Operational analytics & enhanced performance Fraud detected 2-24 hrs

7. Demo Rohan Kumar

8. dbo.Patients Jane Doe Name 243-24-9812 SSN USA Country Jim Gray198-33-0987USA John Smith123-82-1095USA dbo.Patients Jane Doe Name 1x7fg655se2e SSN USA Jim Gray0x7ff654ae6dUSA John Smith0y8fj754ea2cUSA Country Result Set Jim Gray Name Jane Doe Name 1x7fg655se2e SSN USA Country Jim Gray0x7ff654ae6dUSA John Smith0y8fj754ea2cUSA dbo.Patients SQL Server ciphertext Query Always Encrypted Help protect data at rest and in motion, on-premises & cloud Trusted Apps SELECT Name FROM Patients WHERE SSN=@SSN @SSN='198-33-0987' Result Set Jim Gray Name SELECT Name FROM Patients WHERE SSN=@SSN @SSN=0x7ff654ae6d Column Encryption Key Enhanced ADO.NET Library Column Master Key Client side

9. Demo Rohan Kumar

10. Mission critical performance Performance Operational analytics In-memory OLTP for more applications Query data store Native JSON Temporal database support Security Always Encrypted Row Level Security Dynamic Data Masking Availability Enhanced AlwaysOn 3 synchronous replicas for auto failover across domains Round robin load balancing of replicas DTC for transactional integrity across database instances with AlwaysOn Enhanced online operations Scalability Enhanced database caching Support for Windows Server 2016 12 TB memory support

11. Do more. Achieve more.

12. PolyBase Query relational and non-relational data with T-SQL T-SQL query SQL Server Hadoop Quote: ************************ ********************** ********************* ********************** *********************** $658.39 Jim Gray Name 11/13/58 DOB WA State Ann Smith04/29/76ME

13. Data Scientist Interact directly with data Built-in to SQL Server Data Developer/DBA Manage data and analytics together Built-in advanced analytics In-database analytics at massive scale Example Solutions Sales forecasting Warehouse efficiency Predictive maintenance Relational Data Analytic Library T-SQL Interface Extensibility ? R R Integration 01001 0 10010 0 01010 1 Microsoft Azure Marketplace New R scripts 01001 0 10010 0 01010 1 01001 0 10010 0 01010 1 01001 0 10010 0 01010 1 01001 0 10010 0 01010 1 01001 0 10010 0 01010 1 Credit risk protection

14. Rich visualizations on mobile devices

15. Demo Jen Underwood

16. Deeper insights across data Access any data PolyBase Power Query for analytics and reporting Enhanced SSIS Designer support for previous SSIS versions Support for Power Query Scale and manage Enterprise-grade Analysis Services New single SSDT in Visual Studio 2015 Enhanced MDS Excel add-in 15x faster More granular security roles Archival options for transaction logs Reuse entities across models Powerful insights Built-in advanced analytics Business insights through rich visualizations on mobile devices Enhanced Reporting Services

17. Do more. Achieve more.

18. Order history Name SSN Date Jane Doecm61ba906fd2/28/2005 Jim Grayox7ff654ae6d3/18/2005 John Smithi2y36cg776rg4/10/2005 Bill Brownnx290pldo90l4/27/2005 Sue Danielsypo85ba616rj5/12/2005 Sarah Jonesbns51ra806fd5/22/2005 Jake Marksmci12hh906fj6/07/2005 Eric Mearsutb76b916gi6/18/2014 Rachel Hoganpx61hi9306fj7/1/2014 Sam Johnsonol43bi506gd7/12/2014 David Simontx83hal916fi7/29/2014 Michelle Burnsnb95re926gi8/10/2014 Reed Deanvc61ira536fe8/23/2014 Order history Name SSN Date Jane Doecm61ba906fd2/28/2005 Jim Grayox7ff654ae6d3/18/2005 John Smithi2y36cg776rg4/10/2005 Bill Brownnx290pldo90l4/27/2005 Customer data Product data Order History Stretch to cloud Stretch SQL Server into Azure Stretch warm and cold tables to Azure with remote query processing App Query Microsoft Azure Jim Grayox7ff654ae6d3/18/2005

19. Demo Rohan Kumar

20. Hyperscale cloud Hybrid solutions Stretch tables into Azure Power BI with on-premises data Hybrid scenarios with SSIS Enhanced backup to Azure Simplicity Easy migration of on-premises SQL Server Simplified Add Azure Replica Wizard Consistency Common development, management and identity tools Consistent experience from on-premises to Azure

21. SQL Server 2016

22. Introducing Azure SQL Data Warehouse Integration with Power BI, ADF, and Machine Learning services Separate storage & compute Elastic scale Scale-out relational data warehouse MPP massive scale-out

24. Demo Rohan Kumar

25. MobileReports Natural language queryDashboardsApplications Streaming Relational Internal & external Non-relational NoSQL Orchestration Machine learningModeling Information management Complex event processing The Microsoft data platform

26. Check out all the data sessions Pre-register for the SQL Server 2016 CTP & Azure SQL DW previews http://www.Microsoft.com/mcpnews

27. © Microsoft 2015. All rights reserved.