Brk3288 sql server v.next with support on linux, windows and containers wash dc

Editor's Notes

• #4: The business landscape is becoming increasingly diverse Development and deployment environments include Windows, Linux, macOS, and Docker Data is no longer relational, with companies accessing diverse data, including video, streaming, documents, relational, both external data and data internal to their org Languages and frameworks are also expanding with the poularity of Node.js, Python, Ruby and others Companies deploy on-premises, in the cloud, or both, with a hybrid solution
• #5: Microsoft has delivered a number of products enabling choice for customers, including: HD Insight on Linux - a managed Apache Hadoop, Spark, R, HBase, and Storm cloud service made easy R Server on Linux - Use R—the powerful, statistical programming language—in an enterprise-class, big data analytics platform. Microsoft R Server is your flexible choice for analyzing data at scale, building intelligent apps, and discovering valuable insights across your business (https://www.microsoft.com/en-us/cloud-platform/r-server) Linux in Azure – run Linux-based virtual machines in Microsoft Azure (IaaS) Customers can take advantage of Microsoft–created database connectivity drivers and open-source drivers that enable developers to build any application using the platforms and tools of their choice, including Python, Ruby, and Node.js
• #6: SQL Server is the new industry leader and SQL Server 2016 is packed with value for customers and as with our history, that value is built-in to a single enterprise sku with no additional add-ons. Let’s take a look at the top 5 reasons why you want to bet your business needs on SQL Server. If you are on SQL Server 2005 there is no better time to modernize your apps. If you are on Oracle or IBM, no better time to look again at the value you can gain today at a much lower TCO. <click> Industry leader in mission critical OLTP In case you missed, there is a new leader in Gartner’s core database MQ, where SQL Server for the first time has de-throned Oracle in both execution and vision! Microsoft SQL Server has been the industry leader for two years in a row! Customers are realizing the value that Microsoft is delivering at a rapid pace and in a customer friendly way by building-in innovation verses requiring add-ons. SQL Server also has #1 rankings across a number of TPC-E and TPC-H performance benchmarks Speaking of security and performance, let’s take a look at how we fair against the competition.<click> Most secure database SQL Server continues to be the least vulnerable database 6 years in a row. NIST (National Institute of Standards and Technology) tracks database vulnerabilities and shows SQL as the lowest even though we have more units deployed in production than both Oracle and IBM combined. So what does that mean, if you look at the chart you will see Oracle has many more vulnerabilities, this doesn’t mean that Oracle didn’t address them, but until the vulnerability patch is released and you implement it your data is at risk. Fewer vulnerabilities means fewer patches and your data is less exposed to attack. In addition, SQL Server 2016 delivers layers of protection with capabilities that can protect your data at rest and in motion, even in the memory buffer pool, without impacting database performance, along with the ability to control access and monitor threats. This multi-layered approach combined with proven track record of being least vulnerable provide you with the most secure database on the planet. <click> Highest performing data warehouse From a performance perspective, looking at TPC-H a standard benchmark particularly for Data Warehousing workloads, SQL holds the number #1, #2, and #3 spots for non-clustered scale up performance on multiple hardware platforms including HP, Lenovo and Cisco and for multiple data sizes including 1TB, 3TB and 10TB.  Oracle comes in at #4.  This not only showcases SQL Server performance, but performance at scale for data warehousing. SQL Server 2016 can scale from data marts to the biggest DW workloads.  With SQL Server 2016 enterprise you also get the rights to deploy our scale out MPP (massive parallel processing) data warehousing appliance, so again incredible value out of a single sku. <click> End to end mobile BI on any device Now let’s take a look at end to end mobile BI solution. Many of you may have heard about the Datazen acquisition we made to provide our customer with mobile BI on any device. Well in SQL Server 2016 this will be integrated into Reporting Services, which we are enhancing in a big way. What this means is you can now publish modern reports using PowerBI or Excel 2016 to an iPhone, Android phone, as well as Windows phone. Best of all its built-in so no need to buy a separate product. With the new integration of Power BI and SQL Server you can enable self-service BI in addition to mobility. Even if you choose to enable self-service BI you are doing it at a fraction of the cost of Tableau and Oracle. Even though Tableau has added mobile it’s only iOS and not Android, which is important outside of the US and Tableau is only a point solution for BI, where as SQL Server can tackle all data workloads give you BI and Advanced Analytics built-in. <click> In-database Advanced Analytics Many customers are exploring going beyond BI into predicative analytics where they want to proactively pave their businesses future with data rather than react to data. With SQL Server 2016 you can now accomplish this with built-in in-database advanced analytics. Again the key here is in-database, because when you talk to customers trying to implement advanced analytics the number one challenge is moving the data out of your database to do perform open source R models. In addition, customers want to perform analysis using R models on the latest data which you can do quickly by combining R with SQL Server in-memory technology. With 2016 you can perform R models directly in the database. In addition, customer want to run their R models on the latest data and you can do this quickly with SQL Server 2016 by combining the power of open source R with SQL Server in-memory technology for incredibly fast reads and writes. <click> In-memory across workloads In addition to these top 5 reasons, our optimized in-memory technology is fueling performance across all workloads from our in-memory OLTP that provides up to 30x transactional performance to our in-memory columnstore that give over 100x faster queries for data warehouse and BI workloads. Now with SQL Server 2016, you also have the ability to combine in-memory technologies to give you super-fast reads on top of super-fast writes to enable real-time operational analytics.<click> Consistent Experience from on-premises to cloud In addition to in-memory across all of these workloads, we can also deliver these capabilities with a consistent experience both on-premises and cloud with common development and management tools and common T-SQL. Our goal is to provide you a great experience with data no matter where you choose to implement it! <click to next slide>
• #7: With SQL Server 2016 Service Pack 1, innovative features are now available across editions, so companies can scale across editions with a consistent programming surface area.
• #8: With SQL Server v.Next, now in public preview, and generally available to purchase targeting mid-calendar year 2017, the power of SQL Server is available on the platform of your choice.
• #9: 1 min
• #10: Follow the readme.txt in demo1_sqllinux
• #11: It’s not just the same license, we’re also retaining the same editions (Enterprise, Standard, Developer) – same as
• #15: Goal: is app compat with SQL on Win. We’re in public preview now, and most of the features planned for Linux GA are gonna show up in public preview. Example: AD auth is not there yet, will show up soon. Look at the release notes for details Main things not available in preview yet (but will be there before GA): Avail. Groups, AD Authn, Full-text search
• #17: Let’s look at another aspect of SQL Server that is also critically important for enterprises – security. Our goal is for SQL Server on Linux to support the same enterprise-grade security capabilities that customers rely on with SQL Server on Windows today. [click] We think about security for SQL Server in terms of layers. At the center, you have your data and how you protect the data itself, typically using encryption. SQL Server supports a variety of encryption features to help protect your data against different types of threats. Transparent Data Encryption (TDE) encrypts your whole database at rest, without requiring any application changes. Backup Encryption encrypts your backup files, and Cell-Level Encryption gives you granular control over the encryption of individual cells of data. To encrypt data in transit to and from the database, SQL Server supports the industry-standard TLS 1.2 protocol. And finally, Always Encrypted enables you to encrypt sensitive data client-side, so that even privileged SQL Server administrators are unable to see it in plaintext. [click] The next layer is about controlling access to the data. SQL Authentication allows users to authenticate via a username and password, while Active Directory Authentication allows users to authenticate using single sign-on through Active Directory and Kerberos. Granular permissions enable you to control access to individual tables or even columns of data. Row-Level Security allows you to control read- and write-access to individual rows of data based on a customizable policy, and Dynamic Data Masking allows you to easily mask fields (such as account numbers) so that only part of the data can be seen. [click] The last layer is about monitoring who accesses the data. SQL Server’s Fine-Grained Audit feature allows you to enforce a data audit policy and track which users are doing which actions. [click] So that’s where we’re going with security for SQL Server on Linux. Almost all of these features are already available for you to try in the CTP1 preview release, please try them out and share your feedback with us. Support for TLS is in progress and will become available in an upcoming build. Similarly, Active Directory Authentication is one of our most requested features and will become available in an upcoming build.
• #18: Add diagram from Travis
• #20: Follow the readme.txt in demo2_sqldocker
• #22: Blog post: Slava/Scott https://blogs.technet.microsoft.com/dataplatforminsider/2016/12/16/sql-server-on-linux-how-introduction/ Only RDBMS is working It’s not an emulator. It’s done the right way (PAL) – single code base, full performance, runs natively on both platforms
• #25: Analogy – Package shipping. Ship everything in the same big box, at same large expense. Now, learn over time what size box the query needs and create a box that exactly fits. This will be more cost effective and create better throughput. This improvement will cache the actual memory required for a query, such that when an identical query statement is seen, we will be able to use a much more accurate memory grant size, avoiding excessive memory grants that reduce concurrency and avoiding under-estimated memory grants that cause expensive spills to disk.
• #26: TODO: Possible cut slide
• #27: Graphs are well suited for applications where relationships are important, such as fraud detection, risk management, social networks, recommendation engines, predictive analysis, dependence analysis, IoT suites, etc. What makes a graph database unique? A single edge type can connect to multiple node types. Complex pattern matching queries can be expressed easily. Transitive closure queries: find friends of my friends of my friends … Polymorphic queries: find all nodes of any type connected to … Graph analytics: shortest path, page rank, …
• #30: Follow the instructions in readme.txt in demo3_sqlvnext
• #31: In March 2016, we announced our intention to bring SQL Server to Linux, starting with a private preview effective immediately. In November, we launched our SQL Server v.Next public preview for both Windows and Linux. In the coming year, we will have updated previews approximately every month. Finally, targeting calendar year 2017, SQL Server will be generally available to purchase on Windows and Linux.
• #32: Get rid of icons, go with simple 3 box format
• #33: When developing a new application on Linux, start your journey by developing locally on Linux, Windows, or macOS (via Docker). Then, deploy today on Windows via SQL Server 2016 or Linux with the public preview, and the adoption of engineering support for production with the SQL Server Adoption Program. Then, when SQL Server v.Next is available targeting mid-calendar year 2017, either do a simple backup and restore from SQL 2016 on Windows to SQL Server v.Next, or easily upgrade from the SQL Server on Linux public preview to the SQL Server v.Next GA.
• #34: SQL Server leads the industry on security, performance, and price. And we want to prove to you that there is no equal. Move your Oracle databases to SQL Server and receive the necessary licenses of SQL Server—free with software assurance. Take advantage of this offer and get the one data solution that has everything you need built in. https://docs.microsoft.com/en-us/sql/linux/sql-server-linux-migrate-ssma When you migrate, take advantage of our SQL Server Migration Assistant tool, and leverage our vast global partner ecosystem.
• #35: Get started today with the SQL Server v.Next public preview by going to www.sqlserveronlinux.com, where you’ll find instructions for Red Hat Enterprise Linux, Ubuntu Linux, SQL Server on Linux-based Azure Virtual Machines, and Docker. Coming soon, the preview will include SUSE Linux as well. SQL EAP (pronounced “SQL Leap”) is a Microsoft program to help customers and partners adopt the next version of SQL Server.