Bob Ward joins us to talk about his new book - SQL Server 2019 Revealed. Find it here: https://www.apress.com/us/book/9781484254189

Learn all about the new data classification capabilities built into Azure SQL Database. Data Classification enables discovering, classifying, labeling & protecting the sensitive data in your databases. Examples of sensitive data include business, financial, healthcare, personally identifiable data (PII). Discovering and classifying your most sensitive data can play a pivotal role in your organizational information protection stature. Data discovery & classification is part of the Advanced Data Security (ADS) offering, which is a unified package for advanced SQL security capabilities. Find out more about Advanced Data Security.

Learn what the settings and services you can configure for big data clusters and what are the tools available to help apply these configurations.Find out more on deploying Big Data Clusters:https://aka.ms/bdc-deploy?WT.mc_id=dataexposed-c9-ninerhttps://aka.ms/bdc-deploy-quickstart?WT.mc_id=dataexposed-c9-ninerMore on BDCs:https://aka.ms/bdc-docs?WT.mc_id=dataexposed-c9-ninerhttps://aka.ms/bdc-samples?WT.mc_id=dataexposed-c9-ninerhttps://aka.ms/sqlworkshops?WT.mc_id=dataexposed-c9-niner

In SQL Server 2019 Big Data Clusters, we ensure that management services embedded with the platform provide fast scale and upgrade operations, automatic logs and metrics collection, enterprise grade secure access and high availability. In this video we will provide an overview of these administration experiences for BDC.Find out more on deploying Big Data Clusters:https://aka.ms/bdc-deployhttps://aka.ms/bdc-deploy-quickstartMore on BDCs:https://aka.ms/bdc-docshttps://aka.ms/bdc-sampleshttps://aka.ms/sqlworkshops

Did you know Azure Data Studio has a rich notebook experience? Whether you need a Python, Pyspark, or a fully integrated SQL kernel, you can start creating and editing your notebooks from anywhere in one tool. Learn more from our documentation.

SQL Server 2019 introduces ground-breaking query performance enhancements under the Intelligent Query Processing family. To learn more, check out our documentation.These make up the latest on Microsoft's mission to make critical parallel workloads improve when running at scale, while remaining adaptive to the constantly changing world of data! In this video we'll give you a quick overview of the intelligent database world that takes a leap forward with the upcoming SQL Server 2019, and introduce all of the other videos in this series that dive into the details.

Memory-Optimized TempDB Metadata is one of the new In-Memory Database features in SQL Server 2019. In this video, learn how to detect the TempDB metadata contention that this feature is intended to address, as well as how to enable and measure the impact of the feature. Learn more about TempDB here.

TempDB has historically been a major point of contention when it comes to scalability of highly-concurrent workloads in SQL Server. In this video, we'll review some of the most common pain points with TempDB scalability and what Microsoft is introducing in SQL Server 2019 to address these issues. Learn more in our documentation.

SQL Server 2019 in containers are a fast way to get started with SQL Server 2019, and can be used throughout your data estate from development to production. SQL Server in containers are great because of their consistent, isolated and reliable behavior across environments, ease of use, and ease of starting and stopping. In this video, we'll talk about SQL Server 2019 in containers and how to get started with them. Visit this link to get started with SQL Server 2019 in containers.

One of the most eagerly anticipated features in SQL Server 2019 is data virtualization. This video gives you a practical overview of the technology so that you can quickly get started with this exciting new feature. To learn more, check out our documentation.