The Roadmap for SQL Server 2019

Editor's Notes

• #4: That’s not all it can do. SQL Server 2017 continues to deliver industry-leading capabilities: Our latest performance benchmarks on Windows and Linux blow away our old records. OLTP – We have #1 OLTP TPC-E performance DW: And, we have the fastest performing DW. With best price/performance. We offer the most secure database. According to US National Institute of Standards and Technology (NSIT), we have had fewer vulnerabilities over the last 7 years than Oracle or IBM Fewer vulnerabilities mean less patching for you! SQL Server is the first commercial database with Advanced Analytics using R and Python built-in. Why does this matter to you? Now you can use SQL Server to operationalize your data science models in a secure and performant way Use native T-SQL commands to score data in near real-time And unlike our competitors, mobile BI on every device comes built-in. Or add access to powerful, self-service BI visualizations through Power BI - at a fraction of the cost of our competitors. SQL Server 2017 gives you your choice of platform and language, and the most consistent on-prem to cloud environment. And it does all this for 1/10th the cost of Oracle
• #5: Data is the new currency. We are constantly seeing a proliferation of data into all segments of our lives in various form factors. Data plays a key part in our lives whether it is hosted in a private data center or a public cloud and even in the devices at the Edge. I currently have various forms of data being exchanged between my cell phone, my home automation devices and even the fitbit that I am wearing. This data EXPLOSION that we are experiencing in every aspect of our lives requires us to be able to converge disparate data sets from different sources whether it is relational, non-relational or even unstructured into a single data hub to gain meaningful insights. As you saw from our announcements yesterday, we are introducing a unified data platform that will be able to talk to all data within your data to allow you to derive valuable business insights from your data estate. This allows you to create a data virtualization layer without the need to move data from one service to the other for the purpose of insights. Not only do you get to manage your data from a single place but you also have the ability to query using Apache Spark and T-SQL.
• #7: Amit starts here
• #8: Increase analytics and apps performance with scale out data marts
• #9: Bob takes over
• #11: Amit takes over
• #12: Deploy an Operator The Operator will deploy SQL Server primary and secondary instances with AG Agents for failover health detection You add our database to the AG and we seed it to the secondary replicas Your Primary app connects to a Load Balancer which connects to the Primary replica A reporting app can connect read-only to secondary replicas If the primary goes down, AG agents help auto failover to one of the secondaries The primary load balancer is redirected to the new primary The reporting app is also connected to the new secondary
• #13: Deploy an Operator The Operator will deploy SQL Server primary and secondary instances with AG Agents for failover health detection You add our database to the AG and we seed it to the secondary replicas Your Primary app connects to a Load Balancer which connects to the Primary replica A reporting app can connect read-only to secondary replicas If the primary goes down, AG agents help auto failover to one of the secondaries The primary load balancer is redirected to the new primary The reporting app is also connected to the new secondary
• #14: Bob takes over
• #17: 1 min
• #18: Optional Demo: Page latch info with temp table stress