1.Increasing data volumes 2.New data sources and types 3.Real-time data 4.Cloud-born data 5.Hybrid infrastructures “…data warehousing has reached the most significant tipping point since its inception. The biggest, possibly most elaborate data management system in IT is changing.” -- GARTNER, “THE STATE OF DATA WAREHOUSING IN 2012”

Infinite storage Big data processing Advanced analytics Dynamic infrastructur e Real-time dashboard s Self- service ETL

You’ll have multiple data processing environments Heterogeneous ETL? Different tools for different jobs Mix of legacy environments Central vs. departmental processing ELT vs. ETL, custom code, stored procedures… Different needs for processing environments Hot path / real-time vs. batch / archival Data lakes Big data processing

Big data systems don’t solve master data management challenges The need for accurate, curated data remains There’s usually a human factor Lookups against master data or reference data is a common requirement

Focus areas Customer Feedback

Additional features coming after the initial release Some of the SSIS features will also work with existing SQL Server releases Azure Storage and HDInsight connectors Designer improvements MDS focused on platform improvements UX improvements coming later Public Preview Notes

SQL Server Integration Services

Always On support for SSISDB High Availability for the SSIS Catalog

Do more. Achieve more.

Azure Storage Connectors Enables hybrid ETL

HDInsight Tasks Orchestrate and manage HDI clusters

Master Data Services

Do more. Faster. Massive improvements to performance and scale in MDS 15x

Do more. Achieve more.

Demo SQL Server Integration Services and Master Data Services in SQL Server 2016 – Public Preview

SSIS SQL 2016 – Public preview at a glance ManageabilityConnectivityUsability & Productivity

MDS SQL 2016 – Public preview at a glance Performance and Scale Modeling and MgmtSecurity and Admin

Check out all the data sessions Pre-register for the SQL Server 2016 CTP & Azure SQL DW previews