Book Image

Introducing Microsoft SQL Server 2019

By : Kellyn Gorman, Allan Hirt, Dave Noderer, Mitchell Pearson, James Rowland-Jones, Dustin Ryan, Arun Sirpal, Buck Woody
Book Image

Introducing Microsoft SQL Server 2019

By: Kellyn Gorman, Allan Hirt, Dave Noderer, Mitchell Pearson, James Rowland-Jones, Dustin Ryan, Arun Sirpal, Buck Woody

Overview of this book

Microsoft SQL Server comes equipped with industry-leading features and the best online transaction processing capabilities. If you are looking to work with data processing and management, getting up to speed with Microsoft Server 2019 is key. Introducing SQL Server 2019 takes you through the latest features in SQL Server 2019 and their importance. You will learn to unlock faster querying speeds and understand how to leverage the new and improved security features to build robust data management solutions. Further chapters will assist you with integrating, managing, and analyzing all data, including relational, NoSQL, and unstructured big data using SQL Server 2019. Dedicated sections in the book will also demonstrate how you can use SQL Server 2019 to leverage data processing platforms, such as Apache Hadoop and Spark, and containerization technologies like Docker and Kubernetes to control your data and efficiently monitor it. By the end of this book, you'll be well versed with all the features of Microsoft SQL Server 2019 and understand how to use them confidently to build robust data management solutions.
Table of Contents (15 chapters)

Azure Databricks

Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics service optimized for Azure. Databricks was designed with the founders of Apache Spark and is tightly integrated with Azure to provide on-click setup, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, engineers, and analysts.

Azure Databricks is tightly integrated with Azure data services such as SQL Data Warehouse, Data Lake Storage, Cosmos DB, SQL Database, Event Hubs, and Power BI. Databricks is ideal for working with structured or unstructured data, real-time data processing and analysis for analytical and interactive applications, machine learning and predictive analytics, graph computation, performing ETL operations, and other types of data engineering. Through a collaborative and integrated workspace experience, Azure Databricks eases the process of exploring data, visualizing data with interactive dashboards in just a few...