Data Platform and Analytics Foundational Training Microsoft C+E Technology Training Data Platform and Analytics Foundational Training Solution Area Data Platform Solution Data Warehouse Technology Microsoft Modern Data Warehouse Peter Myers

Understanding the Microsoft Modern Data Warehouse

Embracing data transforms business It is central to outperforming competitors Manufacturing Healthcare Government Agriculture Education Retail Automotive Aerospace Financial

Every enterprise needs reliable data warehousing solutions Maintain historical data from varied sources Traditional Gain real-time insights without impacting performance Operational Manage data variety and volume across all data repositories Logical

Modern data warehousing is challenging Maintain historical data from varied sources Traditional Gain real-time insights without impacting performance Operational Manage data variety and volume across all data repositories Logical Fragmented systems and processes Multiple tools and skill sets Siloed insights on disconnected data High cost of ownership

SQL Server 2016 + reference architectures Azure SQL Data Warehouse Microsoft Data Warehouse Portfolio Maintain historical data from varied sources Gain real-time insights without impacting performance Manage data variety and volume across all data repositories Traditional Operational Logical SQL Server 2016 + reference architectures Azure SQL Data Warehouse Azure Data Lake

Azure SQL Data Warehouse DW your way Comprehensive DW from Microsoft Cloud Elastic-scale for unpredictable demand Pay for what you need SQL Server in an Azure VM Azure SQL Database Azure SQL Data Warehouse Azure Data Lake On-premises BUILD YOUR OWN SQL Server 2016 Meets strict regulatory compliance standards Enable strong data governance PRE-ENGINEERED SQL Server 2016 Fast Track + Faster deployment Flexibility and choice of the latest generation of hardware Out-of-the-box offerings with reduced risk and greater confidence

High-level comparison Azure SQL Data Warehouse Cloud-based data warehousing Pay as you go (OPEX) Ad hoc workloads SQL Server 2016 On-premises (or IaaS) data warehousing Mission-critical workloads Upfront costs (CAPEX)

Introducing Azure SQL Data Warehouse

Introducing Azure SQL Data Warehouse A relational data warehouse as a service, fully managed by Microsoft Industry’s first elastic cloud data warehouse with enterprise-grade capabilities Integrated with on-premises and cloud assets Elastic scale & performance Market-leading price/performance End-to-end platform built for the cloud Integrated with Azure platform and other Microsoft services Enables hybrid solutions Built on SQL Server experience and technology Simple compute and storage billing Pay for what you need High performance without rewriting applications Low cost for latent data Infrastructure, management, and support provided Scales to petabytes of data with MPP processing Resize compute nodes < 1 minute Faster time to insight than other SMP offering Designed for “on-demand” workloads

Power of integration App service Hadoop Azure SQL Database Power BI Intelligent app Hadoop Azure Machine Learning Power BI Azure SQL Database SQL Azure SQL Data Warehouse

True enterprise-ready SQL Server experience Mature enterprise-ready SQL for sophisticated DW scenarios Proven and used by millions of SQL Server users today Existing SQL Server scripts and tools just work Continuous enhancements on language surface User-defined functions & stored procedures Modular programming (write once, execute multiple times) Faster code execution Encapsulated programming logic Table partitioning Easier maintenance of large tables Improves performance Enhanced scalability and availability Collations Allows proper use and comparisons of characters in different languages Indices & columnstore support Mature columnstore technology for best-in- class DW query performance

Query unstructured data via PolyBase/T-SQL PolyBase for querying and managing non-relational Hadoop and relational data SQL DW Instance Scale out compute Hadoop VMs / Azure Storage PolyBase Enables query capabilities across common Hadoop distributions (HDP & Cloudera) and Hadoop file formats in Azure storage Allows leveraging existing SQL skills and BI tools Supports multiple non-relational file formats Improved time-to-insights and simplified ETL

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