1. HDC: SQL Server 2016 New Features & Demos

2. Phil Brammer (@PhilBrammer)

3. JSON and Microsoft A top feature request on MS Connect (1050 votes) OneDriveOffice DynamicsBing Yammer TFS

4. JSON and SQL Server [ { "Number":"SO43659", "Date":"2011-05-31T00:00:00" "AccountNumber":"AW29825", "Price":59.99, "Quantity":1 }, { "Number":"SO43661", "Date":"2011-06-01T00:00:00“ "AccountNumber":"AW73565“, "Price":24.99, "Quantity":3 } ] SO436592011-05-31T00:00:00MSFT59.991 SO436612011-06-01T00:00:00Nokia24.993 Table 2 JSON Formats result set as JSON text. JSON 2 table Migrates JSON text to table Built-in functions ISJSON JSON_VALUE JSON_MODIFY

5. Real data sources are dynamic Historical data may be critical to business success Traditional databases fail to provide required insights Workarounds are… Complex, expensive, limited, inflexible, inefficient SQL Server 2016 makes life easy No change in programming model New Insights Temporal Data Time TravelData Audit Slowly Changing Dimensions Repair record- level corruptions

6. Fine-grained access control over specific rows in a database table Help prevent unauthorized access when multiple users share the same tables, or to implement connection filtering in multitenant applications Administer via SQL Server Management Studio or SQL Server Data Tools Enforcement logic inside the database and schema is bound to the table Protect data privacy by ensuring the right access across rows SQL Database Customer 1 Customer 2 Customer 3 Row-Level Security Security

7. Row-Level Security Traditional RLS workloads Custom business logic to determine which rows each user can SELECT, INSERT, UPDATE, and DELETE based on their role, department, and security level Target sectors: Finance, insurance, healthcare, energy, and government Multitenant databases Ensuring tenants can only access their own rows of data in a shared database, with enforcement logic in the database rather than in the app tier For example: multitenant shards with elastic database tools in SQL Database Reporting, analytics, and data warehousing Different users access same database through various reporting tools, and work with different subsets of data based on their identity/role Security

8. Configuration made easy in the new Azure portal Policy-driven at the table and column level, for a defined set of users Data masking applied in real-time to query results based on policy Multiple masking functions available (e.g. full, partial) for various sensitive data categories (credit card numbers, SSN, etc.) SQL Database SQL Server 2016 Table.CreditCardNo 4465-6571-7868-5796 4468-7746-3848-1978 4484-5434-6858-6550 Real-time data masking; partial masking Dynamic Data Masking Prevent the abuse of sensitive data by hiding it from users Security

9. PerformanceSecurityAvailabilityScalability Operational analytics Insights on operational data; works with in-memory OLTP and disk-based OLTP In-memory OLTP enhancements Greater T-SQL surface area, terabytes of memory supported, and greater number of parallel CPUs Query data store Monitor and optimize query plans Native JSON Expanded support for JSON data Temporal database support Query data as points in time Always encrypted Sensitive data remains encrypted at all times with ability to query Row-level security Apply fine-grained access control to table rows Dynamic data masking Real-time obfuscation of data to prevent unauthorized access Other enhancements Audit success/failure of database operations TDE support for storage of In- Memory OLTP tables Enhanced auditing for OLTP with ability to track history of record changes Enhanced AlwaysOn Three synchronous replicas for automatic failover across domains Round-robin load balancing of replicas Automatic failover based on database health DTC for transactional integrity across database instances with AlwaysOn Support for SSIS with AlwaysOn Enhanced database caching Cache data with automatic, multiple TempDB files per instance in multicore environments Mission-critical performance

10. Access any data Scale and manage Powerful insights Advanced analytics PolyBase Insights from data across SQL Server and Hadoop with the simplicity of T-SQL Enhanced SSIS Designer support for previous SSIS versions Enterprise-grade Analysis Services Enhanced performance and scalability for Analysis Services Single SSDT in Visual Studio 2015 (CTP3) Build richer analytics solutions as part of your development projects in Visual Studio Enhanced MDS Excel add-in 15x faster; more granular security roles; archival options for transaction logs; and reuse entities across models Mobile BI Business insights for your on- premises data through rich visualization on mobile devices with native apps for Windows, iOS, and Android Enhanced Reporting Services New modern reports with rich visualizations R integration (CTP3) Bringing predictive analytic capabilities to your relational database Expand your “R” script library with Microsoft Azure Marketplace Deeper insights across data

11. Hybrid solutionsSimplicityConsistency Stretch Database Stretch operational tables in a secure manner into Azure for cost-effective historic data availability. Works with Always Encrypted and row-level security Power BI with on-premises data New interactive query with Analysis Services. Customer data stays behind your firewall Enhanced backup to Azure Faster restore times and 50% reduction in storage. Supports larger DBs with block blobs and custom backup schedule with local staging Easy migration of on-premises SQL Server Simple point-and-click migration to Azure Suite of advisors for upgrading to SQL Server 2016 SQL Server 2016 Upgrade Advisor in the adoption of new SQL Server features Simplified Add Azure Replica Wizard Automatic listener configuration for AlwaysOn in Azure VMs Common development, management, and identity tools Including Active Directory, Visual Studio, Hyper- V, and System Center Consistent experience from SQL Server on-premises to Microsoft Azure IaaS and PaaS Hyperscale cloud