1. 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

2. Understanding the Microsoft Modern Data Warehouse

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

4. 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

5. 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

6. 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 reference architectures
Azure SQL Data Warehouse
Azure Data Lake

7. 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

8. 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)

9. Introducing Azure SQL Data Warehouse

10. 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

11. 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

12. 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

13. 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

14. © 2016 Microsoft Corporation. All rights reserved
© 2016 Microsoft Corporation. All rights reserved. Microsoft, Windows, Microsoft Azure, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION