Discovery Day 2019 Sofia - What is new in SQL Server 2019

Editor's Notes

• #5: 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
• #6: Amit starts here SQL Server 2019 Big Data Clusters adds enhancements to PolyBase to improve the data virtualization experience between SQL Server and other database engines. It provides bi-directional integration with big data Hadoop and Apache Spark systems. We can easily manage the big data using the built-in tools with SQL Server 2019. It offers three major pieces of functionality: Data virtualization - Combine data from many sources without data movement. It improves security, performance to process data. Managed SQL Server, Spark, and Data Lake - Store high volume data in a data lake and access it easily using either SQL or Spark. It is very easy to manage using management services, admin portal, and integrated security. Complete AI platform - Easily feed integrated data and prepare the solution. This solution works to operate all models in one system. In SQL Server 2019, we can combine big data with the analytical database or traditional database system. This provides data scientists to access big data with simple T-SQL queries. Users can also use the Power BI to work with the data presented.
• #7: Increase analytics and apps performance with scale out data marts
• #8: Bob takes over
• #9: http://www.queryprocessor.com/batch-mode-on-row-store/ https://blogs.msdn.microsoft.com/sqlserverstorageengine/2018/09/24/introducing-batch-mode-on-rowstore/ https://techcommunity.microsoft.com/t5/SQL-Server/Developers-Choice-Query-progress-anytime-anywhere/ba-p/385004 https://docs.microsoft.com/en-us/sql/relational-databases/performance/query-profiling-infrastructure?view=sqlallproducts-allversions Deferred Table Var Show in Query Store
• #10: 2 Demos IQP – Deferred Temp Table Compilation LQP – Lightweight Query Profiler
• #11: Always Encrypted with secure enclaves addresses these limitations by allowing computations on plaintext data inside a secure enclave on the server side. A secure enclave is a protected region of memory within the SQL Server process, and acts as a trusted execution environment for processing sensitive data inside the SQL Server engine. A secure enclave appears as a black box to the rest of the SQL Server and other processes on the hosting machine. There is no way to view any data or code inside the enclave from the outside, even with a debugger. When parsing an application's query, the SQL Server Engine determines if the query contains any operations on encrypted data that require the use of the secure enclave. For queries where the secure enclave needs to be accessed: The client driver sends the column encryption keys required for the operations to the secure enclave (over a secure channel). Then, the client driver submits the query for execution along with the encrypted query parameters. During query processing, the data or the column encryption keys are not exposed in plaintext in the SQL Server Engine outside of the secure enclave. The SQL Server engine delegates cryptographic operations and computations on encrypted columns to the secure enclave. If needed, the secure enclave decrypts the query parameters and/or the data stored in encrypted columns and performs the requested operations. https://docs.microsoft.com/en-us/sql/relational-databases/security/encryption/always-encrypted-enclaves?view=sqlallproducts-allversions
• #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 Always On availability group enhancements Availability groups on Kubernetes https://docs.microsoft.com/en-us/azure/sql-database/sql-database-accelerated-database-recovery
• #13: 2 Demos IQP – Deferred Temp Table Compilation LQP – Lightweight Query Profiler
• #15: 1 min
• #16: Optional Demo: Page latch info with temp table stress