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SQL Server 2017 Overview and Partner Opportunities

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SQL Server 2017 Overview and Partner Opportunities

  1. 1. SQL Server 2017 Power your entire data estate from on-premises to cloud
  2. 2. Agenda • Market Opportunity & Background • Introduction to SQL Server 2017 on Windows and Linux • Partner Opportunities
  3. 3. Widely available unstructured data Deliver powerful insights over big data Massive data growth Build data into all your apps 50ZB 1010 0101 0010 { } Analytics driving digital transformation Modernize your apps with built-in analytics New opportunities in a changing data landscape
  4. 4. Most secure database over the last 7 years Highest performing data warehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics An industry leader four years in a row SQL Server 2016Everything Built-in This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
  5. 5. Most secure database over the last 7 years Highest performing data warehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics 0 20 40 60 80 100 120 140 160 180 200 Vulnerabilities(2010-2016) An industry leader four years in a row SQL Server 2016Everything Built-in
  6. 6. Most secure database over the last 7 years Highest performing data warehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics non-clustered results An industry leader four years in a row #1 SQL Server 2016Everything Built-in
  7. 7. Most secure database over the last 7 years Highest performing data warehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics An industry leader four years in a row SQL Server 2016Everything Built-in
  8. 8. Highest performing data warehouse End-to-end mobile BI at a fraction of the cost In-database Advanced Analytics 1 Million PREDICTIONS/SEC An industry leader four years in a row Most secure database over the last 7 years SQL Server 2016Everything Built-in
  9. 9. SQL Server 2017 Run on Linux & Docker Support for Graph queries to analyze complex relationships Advanced Machine Learning with R & Python Adaptive query processing learns & optimizes for unparalleled performance SQL Server 2017
  10. 10. z SQL Server 2017 Engage market-leading solutions for every workload Advanced analytics, business intelligence, OLTP, data warehousing Enable innovation through technology—any language, any data, any size, any platform Solve new problems faster with enhanced data integration across your data estate Enjoy security and unmatched TCO with fewer products and services powering your data estate INTELLIGENT TRUSTED FLEXIBLE
  11. 11. Businesses are embracing choice 1010 0101 0010 { } T-SQL Java C/C++ C#/VB.NET PHP Node.js Python Ruby Heterogenous environments Multiple data types Different development languages On-premises, cloud, and hybrid environments
  12. 12. Microsoft is delivering on choice SQL Server on Linux HDInsight on Linux R Server on Linux Linux in Azure SQL Server drivers and connectivity Visual Studio Code extension for SQL Server Python, Ruby, … 20,000 applications for the SQL Server on Linux private preview program, including more than 55% of Fortune 500 companies. NEW 1/3 of VMs in Azure are on Linux
  13. 13. The world is demanding SQL Server on Linux 21K+applications for private preview 55%of Fortune 500 signed up in first week Most popular Scott Guthrie tweet ever 1.5Kretweets #1TechMeme Hacker News
  14. 14. There’s big opportunity $15B+ Linux DB market by 2019 Relational DB market growth through 2019 6.6% per year Microsoft is the only Gartner RDBMS Magic Quadrant vendor without support for Linux
  15. 15. Demo
  16. 16. • Linux distributions including RedHat Enterprise Linux (RHEL), Ubuntu, and SUSE Enterprise Linux (SLES) • Docker: Windows & Linux containers • Windows Server / Windows 10 • Package-based installation, Yum Install, Apt-Get, and Zypper Power of SQL Server on the platform of your choice Linux Linux/Windows container Windows FLEXIBILITY
  17. 17. • Run the world’s leading data platform on any environment • Works on any operating system including Windows, Linux, Docker • Runs on any cloud including Azure, 3rd party hosting providers • Use on-prem licenses in the cloud with License Mobility, a Software Assurance benefit Run SQL Server anywhere FLEXIBILITY Any platform, any cloud SQL Server 2017 Azure 3rd
  18. 18. System Architecture SQL Platform Abstraction Layer (SQLPAL) DB Engine IS AS RS Windows Linux Windows Host Ext. Linux Host Extension SQL Platform Abstraction Layer (SQLPAL) Win32-like APIs Host Extension mapping to OS system calls (IO, Memory, CPU scheduling) SQL OS API SQL OS v2 Everything else System Resource & Latency Sensitive Code Paths
  19. 19. Windows Linux GA Developer, Express, Web, Standard, Enterprise   Database Engine   R Services, Integration Services, Analysis Services, Reporting Services, MDS, DQS  Maximum number of cores Unlimited TBD Maximum memory utilized per instance 12 TB TBD Maximum database size 524 PB TBD Basic OLTP (Basic In-Memory OLTP, Basic operational analytics)   Advanced OLTP (Advanced In-Memory OLTP, Advanced operational analytics)   Basic high availability (2-node single database failover, non-readable secondary)   Advanced HA (Always On - multi-node, multi-db failover, readable secondaries)   Security Basic security (Basic auditing, Row-level security, Data masking, Always Encrypted)   Advanced security (Transparent Data Encryption)   Data warehousing PolyBase2  Basic data warehousing/data marts (Basic In-Memory ColumnStore, Partitioning, Compression)   Advanced data warehousing (Advanced In-Memory ColumnStore)   Advanced data integration (Fuzzy grouping and look ups)  Tools Windows ecosystem: Full-fidelity Management & Dev Tool (SSMS & SSDT), command line tools   Linux/OSX/Windows ecosystem: Dev tools (VS Code), DB Admin GUI tool, command line tools   Developer Programmability (T-SQL, CLR, Data Types, JSON)   Windows Filesystem Integration - FileTable  BI & Advanced Analytics Basic Corporate Business Intelligence (Multi-dimensional models, Basic tabular model)  Basic “R” integration (Connectivity to R Open, Limited parallelism for ScaleR)  Advanced “R” integration (Full parallelism for ScaleR)  Hybrid cloud Stretch Database  What’s coming in SQL Server on Linux
  20. 20. Programming Features • Support for RHEL, SUSE, Ubuntu, Docker • Package based installs, Docker image • Support for Open Shift, Kubernetes, Docker Swarm, DC/OS • Failover Clustering through Pacemaker • Backup/Restore • SSMS on Windows connected to Linux • Command line tools: sqlcmd, bcp, sqlpackage • SQL Server Agent • Log Shipping • Transparent Data Encryption • SCOM Management Pack • DMVs • Full Text Search Operations Features • All major language driver compatibility • In memory OLTP and ColumnStore • Compression • Always Encrypted, Row Level Security, and Data Masking • Service Broker • Change Data Capture • Partitioning • Auditing • CLR • JSON, XML • Third party tools What’s working already? …and more!
  21. 21. Tools and programmability
  22. 22. • Most secure platform, with the least vulnerabilities in the NIST vulnerability database • Encrypt data at rest and in motion with Always Encrypted on new driver libraries • Conceal sensitive information with Dynamic Data Masking • Control access to database rows based on user characteristics with Row-Level Security • File-level protection with Transparent Data Encryption Protect your data at all times on Windows and Linux SECURITY Always Encrypted Query Client side Server side Data set Enhanced SQL Server Library CIPHERTEXT Search for single customer record Sensitive data remains encrypted inside SQL Server Result set with unencrypted data Column master key Column encryption key Customer Credit card # Exp. Denny Usher 0x7ff654ae6d 5/174949-8003-8473-1930 Customer Credit card # Exp. Tim Irish 4839-2939-1919-3987 7/19 Denny Usher 4949-8003-8473-1930 5/17 Alicia Hodge 9000-4899-1600-1324 4/18 Credit card # 1x7fg655se2e 0x7ff654ae6d 0y8fj754ea2c
  23. 23. Always On new hybrid HA scenario • Always On Groups for Linux NEW* and Windows for HA and DR • Flexibility for HA architectures NEW* • Ultimate HA with OS-level redundancy and failover • Load balancing of readable secondaries Mission critical HA on any platform DATA MANAGEMENT // OPERATIONAL DATA • High Availability • Offload Backups • Scale BI Reporting • Enables Testing • Enables Migrations
  24. 24. Industry-leading performance with SQL Server 2017 DATA MANAGEMENT // OPERATIONAL DATA • Improve transactional performance with row-based in-memory OLTP • Speed analytics and reduce storage needs with ColumnStore compression • Combine for real-time operational analytics (HTAP) • Speed query performance without tuning using new Adaptive Query Processing NEW* • Maintain performance when making app changes with Automatic Plan Correction NEW* 0100101010110 In-memory ColumnStore In-memory OLTP ETL Real-time operational analytics with hybrid transactional-analytical processing (HTAP) Challenge to manage massive credit card data Pair active data with In-Memory OLTP table for quick access Speed performance by compressing data in In- memory Columnstore Faster queries and processing enables real- time detection of errors
  25. 25. • Most efficient query processing with 1TB world record benchmark • Achieve petabyte data warehouse scale on Windows and Linux NEW* • #1 price/performance in 1TB, 10TB and 30 TB TPC-H non- clustered benchmark • Reference architectures from major hardware partners Petabyte-scale data warehousing DATA MANAGEMENT // DATA WAREHOUSING #1 performance and value for TPC-H 1TB benchmark non-clustered $0.64 $0.61 678,492 717,101 GREAT PERFORMANCE GREAT VALUE Read the performance brief at hpe.com/servers/benchmarks. Microsoft and Windows are U.S. registered trademarks of Microsoft Corporation. Red Hat, Red Hat Enterprise Linux, and the Shadowman logo are registered trademarks of Red Hat, Inc. Linux is a registered trademark of Linus Torvalds. Intel and Xeon are trademarks of Intel Corporation in the U.S. and other countries. TPC and TPC-H are trademarks of the Transaction Processing Performance Council. TPC-H results show the HPE ProLiant DL380 Gen9 with a result of 717,101 QphH @ 1000GB and $0.61/QphH USD with system availability as of 10-19-2017 (results published 04-19-2017; see http://www.tpc.org/xxxx); the HPE ProLiant DL380 Gen9 with a result of 678,492 QphH @1000GB and $0.64/QphH @ 1000GB with system availability as of 07-31-2016 (results published 03-24-2016; see tpc.org/3320). The TPC believes that comparisons of TPC-H results published with different scale factors are misleading and discourages such comparisons. Please see tpc.org for up-to-date information. Competitive claims valid as of 04-19-2017. HPE server with SQL Server 2016 on Microsoft Windows HPE server with SQL Server 2016 on Red Hat Enterprise Linux HPE server with SQL Server 2016 on Microsoft Windows HPE server with SQL Server 2016 on Red Hat Enterprise Linux QUERYPERHOUR(QPHH) $/QUERYPERHOUR($/QPHH)
  26. 26. • Bring graph data NEW* support to your relational data to store and analyze new types of relationships • Query data stored in Hadoop with PolyBase • Hadoop combined with SQL Server provides value and insight from data lakes The power to query over any type of data DATA SOURCES Graph data support Quarterly business review Andy Smith Mary Jones Denny Usher Bill Brown Rachel Hogan Product dev project IT assessment Eric Mears Michelle Burns HR team can determine which staff are working on which projectsProjects Managers Associates
  27. 27. • In-database analytics with R and now Python NEW* enables users to push intelligence to where data lives • Parallelized and at scale • Industry-leading innovation in artificial intelligence to discover insights faster • Advanced machine learning algorithms with GPUs Real-time intelligence with machine learning built-in DATA INSIGHTS // ADVANCED ANALYTICS In-database analytics with R and Python Store Predictions In-memory OLTP ColumnStore Power BI dashboard R Business user Prepare for analytics Visualize Data from 8M vehicle loans Predicts loan defaults Age, original balance, interest rate, loan remaining months, credit score 1M predictions per sec Python
  28. 28. Play to win Linux/macOS-loyal devs building new apps can develop on their platform of choice New opportunities for SIs and ISVs to sell to non-Windows customers Migrate apps from competitive RDBMS currently on Linux to gain TCO advantage Upgrade customers on older versions of SQL Server Migrate existing apps Win new apps Upgrade Partner with SIs and ISVs Use SQL Server vNext to increase revenue
  29. 29. Migrate existing apps • Lead with a TCO conversation vs. Oracle • Lead with enterprise support and feature set vs. MySQL Community, Postgres, other OSS • SQL Server Migration Assistant ready for SQL Server on Linux at Public Preview • Data Sources: Oracle, MySQL, DB2, Sybase, Access Migrate apps from competitive RDBMS currently on Linux to gain TCO advantage Migrate existing apps 29% of private preview customers want to migrate from MySQL on Linux to SQL Server on Linux 19% of private preview customers want to migrate from Oracle on Linux to SQL Server on
  30. 30. Win new apps • Docker support, integration with DevOps • Easy and fast installation • New drivers for Java, PHP, ODBC, Python, Ruby, Node.js • New cross platform tools • Developer Edition is free and full featured • New getting started content and samplesLinux/macOS-loyal devs building new apps can develop on their platform of choice Win new apps 78% want to build new applications on SQL Server on Linux
  31. 31. Upgrade • Use SQL Server on Linux as a lever to upgrade SQL Server to the latest version • SQL Server Data Migration Assistant is ready to support upgrades to SQL Server on Linux • Backup/restore migration simplicity due to binary compatibilityUpgrade SQL Server customers that would like to switch to Linux Upgrade 54% want to migrate from SQL Server on Windows to SQL Server on Linux
  32. 32. SQL Server 2017 Timeline 3/2016 Announce and private preview 11/2016 Public Preview @ Connect() Targeting 2H CY2017 General Availability Monthly releases CTP2 – production support for EAP
  33. 33. ISVs, service providers and hosters with customers in EAP will also be added to EAP so they can participate there. • Direct access to engineering team via PM buddy and Yammer group • Visibility into roadmap • Provide feedback and input into design of new features and functionality • Full production support from Microsoft Support via special support channel • License amendment to allow running 2017 in production prior to GA • Release to release upgrade support • Real world usage of SQL Server in production to verify quality, scale and performance • Discover bugs • Discover issues preventing customer adoption in production • Document customer evidence • NDA • Sign license agreement amendment • Complete pre-deployment questionnaire • Meet with Microsoft Support Customer Benefits Microsoft Goals Requirements SQL Server Early Adoption Program
  34. 34. Download the bits www.sqlserveronlinux.com Apply to join the SQL Early Adoption Program https://aka.ms/eapsignup
  35. 35. Resources RHEL-based SQL Server container Dockerfile https://github.com/twright-msft/mssql-server-rhel Example voting application https://github.com/twright-msft/example-voting-app JBoss Day Trader application https://github.com/twright-msft/jboss-daytrader Install SQL Server on RHEL https://docs.microsoft.com/en-us/sql/linux/sql-server- linux-setup-red-hat SQL Server Developer Tutorials http://aka.ms/sqldev Early Adoption Program Info and Sign up http://aka.ms/eapsignup Red Hat Product Demo System – Available Now! • SQL Server • .NET Core http://rhpds.redhat.com Benchmark blog post http://rhelblog.redhat.com/2017/04/19/microsoft-red- hat-hpe/
  36. 36. Appendix
  37. 37. The complete modern data estate Structured Unstructured OLTP MOBILE ERP LOB Graph Social IoT Media DATA SOURCES DATA INSIGHTS Datavirtualization DATA MANAGEMENT Dataintegration SECURITY FLEXIBILITY Business intelligence Advanced Analytics & AI Big data processing Data warehousing Operational data Choice of platform, language, location Secure data, access, application
  38. 38. SQL Server POWERING YOUR DATA ESTATE
  39. 39. Power your entire data estate with SQL Server 2017 Business intelligence Advanced Analytics Analytics at a fraction of the cost on any device 1M predictions per second 0 50 100 150 Vulnerabilities (2010-2016) Structured Unstructured OLTP MOBILE ERP LOB Graph Social IoT Media Microsoft Tableau Oracle $120 $480 $2,230 DATA SOURCES DATA INSIGHTS DatavirtualizationPolyBase DATA MANAGEMENT DataintegrationSSIS Big data processing Data warehousing Operational data #1 performance in TPC-HScale to petabytes T-SQL query over any data 1010 0101 { } Leader in TPC-E #1 #2 #3 Least vulnerable over the last 7 years R PB Any language, any platform, anywhere Support for R and Python An industry leader four years in a row + SECURITY FLEXIBILITY SQL Server SAP HANA PostgreSQL IBM DB2 Oracle MySQL The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. National Institute of Standards and Technology Comprehensive Vulnerability Database update 2017. TPC-H non-clustered results as of 2017 respectively. http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster .NET Azure 3rd JAVA
  40. 40. Power your entire data estate with SQL Server 2017 Business intelligence Advanced Analytics Analytics at a fraction of the cost on any device 1M predictions per second 0 50 100 150 Vulnerabilities (2010-2016) Structured Unstructured OLTP MOBILE ERP LOB Graph Social IoT Media Microsoft Tableau Oracle $120 $480 $2,230 DATA SOURCES DATA INSIGHTS DatavirtualizationPolyBase DATA MANAGEMENT DataintegrationSSIS Big data processing Data warehousing Operational data #1 performance in TPC-HScale to petabytes T-SQL query over any data 1010 0101 { } Leader in TPC-E #1 #2 #3 Least vulnerable over the last 7 years R PB Any language, any platform, anywhere Support for R and Python An industry leader four years in a row + SECURITY FLEXIBILITY SQL Server SAP HANA PostgreSQL IBM DB2 Oracle MySQL The above graphics were published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. National Institute of Standards and Technology Comprehensive Vulnerability Database update 2017. TPC-H non-clustered results as of 2017 respectively. http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster .NET Azure 3rd JAVA Powered by SQL Server 2017
  41. 41. • Mobile Reporting—online and offline—on iOS, Windows, Android mobile devices • Updated Report Viewer NEW* a free developer component Bring your data to life with reporting anywhere DATA INSIGHTS // BUSINESS INTELLIGENCE
  42. 42. • Modern connectors NEW* for big data sources, additional databases, Azure stores, and diverse modern data sources • Fast time to insights with rich data transformations and mashups NEW* • In-memory performance Analyze diverse data with powerful modelling DATA INSIGHTS // BUSINESS INTELLIGENCE Get customer social data on favorite cruises Combine latest ship occupancy rates with historic results Compile KPIs Compare responses to two cruise itineraries Itinerary B is more successful – launch route Create tabular models from modern data sources & perform additional transformations SSASModern data sources Visualize Power BI reports Tableau Facebook Excel Data analysisTransform Sentiment Churn Revenue MySQL Azure Blob MailChimp Files RedShift SSRS
  43. 43. Microsoft Azure POWERING YOUR DATA ESTATE IN THE CLOUD
  44. 44. Power your data estate with Azure Business intelligence Advanced Analytics & AI Any language, any platform, anywhere Structured Unstructured OLTP MOBILE ERP LOB Graph Social IoT Media DATA SOURCES DATA INSIGHTS Datavirtualization DATA MANAGEMENT Dataintegration Big data processing Data warehousing Operational data SECURITY FLEXIBILITY .NET Azure 3rd JAVA Azure HDInsight Azure SQL Data Warehouse Azure Data Lake Azure Document DB Azure SQL Database Power BI and Power BI Embedded Azure Machine Learning Azure Stream Analytics Azure Cognitive Services More certifications than any other cloud provider Azure Analysis Services
  45. 45. Power your data estate with Azure Business intelligence Advanced Analytics & AI Any language, any platform, anywhere Structured Unstructured OLTP MOBILE ERP LOB Graph Social IoT Media DATA SOURCES DATA INSIGHTS Datavirtualization DATA MANAGEMENT Dataintegration Big data processing Data warehousing Operational data SECURITY FLEXIBILITY .NET Azure 3rd JAVA Azure HDInsight Azure SQL Data Warehouse Azure Data Lake Azure Document DB Azure SQL Database Power BI and Power BI Embedded Azure Machine Learning Azure Stream Analytics Azure Cognitive Services More certifications than any other cloud provider Azure Analysis Services Powered by Azure Data Services
  46. 46. z Engage market-leading solutions for all workloads Advanced analytics, business intelligence, OLTP, data warehousing Work in your choice of language, employ any data, and easily incorporate open-source tools Engage customers with dynamic interactions using artificial intelligence capabilities Rely on the leading compliance coverage and more certifications than any other cloud provider Azure Data Services INTELLIGENT TRUSTED FLEXIBLE
  47. 47. Infinite scale with Azure SQL Database Increased productivity Faster time to market Reduced risksLower TCO 47% staff hours reclaimed for other tasks “Now, those people can do development and create more revenue opportunities for us.” 75% faster app deployment cycles “We can get things out faster with Azure SQL Database” 53% less expensive than on-prem/hosted “To be able to do what we’re doing in Azure, we’d need an investment of millions.” 71% fewer cases of unplanned downtime “The last time we had downtime, a half a day probably lost us $100k” Other Azure SQL Database DB management hours DATA MANAGEMENT // OPERATIONAL DATA
  48. 48. Fully managed Azure SQL Data Warehouse DATA MANAGEMENT // DATA WAREHOUSING Market leading price/ performance Elastic scale & performance End-to-end platform built for the cloud • Scales to petabytes of data with MPP processing • Resize compute nodes <1 minute • Faster time to insight than other SMP offerings • Designed for on-demand workload • Integrated with Azure platform and other Microsoft services • Enables hybrid solutions • Built on SQL Server experience & technology • Simple compute & storage billing • Pay for what you need • High performance without rewriting apps • Low cost for latent data • Infrastructure, management and support provided
  49. 49. • Get the most of your data with Azure Data Lake storage and Azure HDInsight analytics service together • Store big data of any size and type on Azure Data Lake • Analyze big data with familiar open-source tools with Hadoop on HDInsight • Rest assured with leading SLA Power intelligent action with Azure HDInsight and Azure Data Lake DATA MANAGEMENT // BIG DATA Data Lake Analytics On-demand analytics job service Data Lake Store No limits data lake HDInsight Managed clusters HDFS YARN YARN
  50. 50. • 5,000,000+ subscribers from 200,000+ organizations • Live dashboards provide a 360º view of your business • Track your data in real-time with support for streaming data • Drill through to underlying reports to explore in more detail • Pin new visualizations and KPIs NEW* to monitor performance Experience your data with Power BI Any data, any way, anywhere Stream Analytics Machine Learning Statistical analysis Intelligent apps INTELLIGENCEMICROSOFT CLOUD NON-MICROSOFT CLOUD ON-PREMISE DATA DATA INSIGHTS // BUSINESS INTELLIGENCE
  51. 51. Microsoft Data PlatformCONSISTENT DATA PLATFORM FOR POWERFUL HYBRID SCENARIOS
  52. 52. Microsoft Data PlatformCONSISTENT DATA PLATFORM FOR POWERFUL HYBRID SCENARIOS Easy migration to cloud Always On Availability Groups in Azure Scale out BI Hybrid analytics Backup and DR
  53. 53. • Azure SQL Database preview with instance-level control NEW* for greater security and flexibility • Database migration service NEW* helps move your data from legacy databases to SQL Server in an Azure VM or Azure SQL Database • Sign up for private preview Easy cloud migration FLEXIBILITY 01010010 10100101 11101001 Database migration service preview
  54. 54. Demo Deploy SQL Server on Linux Docker Container to Kubernetes in Azure Container Service
  55. 55. • Develop once and deploy anywhere • Common tools for development and management • Common T-SQL surface area • Simple cloud migration • Single vendor for support Consistent data platform across on-premises and cloud FLEXIBILITY On-premises IaaS PaaS
  56. 56. SQL Server 2017 Azure POWERING YOUR ENTIRE DATA ESTATE
  57. 57. Microsoft data platform INTELLIGENT TRUSTED FLEXIBLE
  58. 58. Power your data estate anywhere Business intelligence Advanced Analytics & AI Any language, any platform, anywhere Least vulnerable data platform, with more certifications than any other cloud provider Structured Unstructured OLTP MOBILE ERP LOB Graph Social IoT Media DATA SOURCES DATA INSIGHTS Datavirtualization DATA MANAGEMENT Dataintegration Big data processing Data warehousing Operational data SECURITY FLEXIBILITY .NET Azure 3rd JAVA Power BI Embedded Azure Machine Learning Azure Stream Analytics Azure Cognitive Services SQL Server Reporting Services and Mobile BI SQL Server Analysis Services and R built-in Azure HDInsight Azure SQL Data Warehouse Azure Data Lake Azure Document DB Azure SQL Database SQL Server SQL Server Data Warehouse Apache Hadoop ON-PREM CLOUD

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