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Title: SQL Server Big Data Clusters Revealed: The Data Virtualization, Data Lake, and AI Platform by Benjamin Weissman and Enrico van de Laar
Editorial Review: As on Amazon.com
From the Back Cover
Use this guide to one of SQL Server 2019’s latest and most impactful features―Big Data Clusters―that combines large volumes of non-relational data for analysis along with data stored relationally inside a SQL Server database.
Big Data Clusters is a feature set covering data virtualization, distributed computing, and relational databases and provides a complete AI platform across the entire cluster environment. This book shows you how to deploy, manage, and use Big Data Clusters. For example, you will learn how to combine data stored on the HDFS file system together with data stored inside the SQL Server instances that make up the Big Data Cluster.
Filled with clear examples and use cases, SQL Server Big Data Clusters Revealed provides everything necessary to get started working with SQL Server 2019 Big Data Clusters. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You then are shown how to configure and deploy Big Data Clusters in on-premises environments or in the cloud. Next, you are taught about querying. You will learn to write queries in Transact-SQL―taking advantage of skills you have honed for years―and with those queries you will be able to examine and analyze data from a wide variety of sources such as Apache Spark.
Through the theoretical foundation provided in this book and easy-to-follow example scripts and notebooks, you will be ready to use and unveil the full potential of SQL Server 2019: combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis.
Install, manage, and troubleshoot Big Data Clusters in cloud or on-premise environments
Analyze large volumes of data directly from SQL Server and/or Apache Spark
Manage data stored in HDFS from SQL Server as if it were relational data
Implement advanced analytics solutions through machine learning and AI
Expose different data sources as a single logical source using data virtualization