SQL Server Big Data Clusters: Data Virtualization, Data Lake, and AI Platform

By Ivor Horton

Use this guide to one of SQL Server 2019's most impactful features--Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will know how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For example, you can stream large volumes of data from Apache Spark in real time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database.
Filled with clear examples and use cases, this book provides everything necessary to get started working with Big Data Clusters in SQL Server 2019. 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.

What You Will LearnInstall, 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 wererelational data
Implement advanced analytics solutions through machine learning and AI
Expose different data sources as a single logical source using data virtualization

Who This Book Is For

Data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environments

• Format: Paperback
• Language: English
• ISBN: 148425984X
• ISBN13: 9781484259849
• Release Date: May 2020
• Publisher: Apress
• Length: 260 Pages
• Weight: 1.08 lbs.
• Dimensions: 0.6" x 7.0" x 10.0"

Customer Reviews

Good book for self-learner

I am learning java on my own. I have tried few books before with varying degrees of satisfaction. This book by Dr. Liang really help me to understand the basics. The topics are explained in concise manner with help of numerous illustration. It is indeed true that a picture worth thousands of words. In addition, I appreciate the author provides solutions to almost all review questions on website. This is really useful for me...

Excellent textbook for learning Java...

If you prefer your computer technology learning in textbook style, then this is an excellent choice in books... Introduction to Java Programming - Comprehensive Version (Sixth Edition) by Y. Daniel Liang. It's an entire college-level course in Java in one very big (and well-written) volume... Contents: Part 1 - Fundamentals of Programming: Introduction to Computers, Programs, and Java; Primitive Data Types and Operations;...

Introduction? Yes. Yet, so much more.

I actually didnt learn Java using this book. I used another book that the university prescribed. Although that was just introductory level, as i moved on to more advanced java programming, the need to understand JSP, the java.net api etc... I looked to books that would explain it well. Most java books out there at the advanced level assume that you have much programming experience and know a few other langauges. Thus they...

Rigorous introduction to programming fundamentals.

There are too many Java programming books where the author just can't wait to get the student into Java API'S, Javadoc documentation, IDE's, GUI's, and so on. This is unfortunate because it does not prepare the student for the fundamentals of programming (understanding loops, arrays, methods, and so on) that you have to know prior to being able to manipulate the Java API's to produce "real-world" applications. This book provides...

High quality writing, very nicely written and organized.

I loved how the author used diagrams and step-by-step code snippets with plenty of annotation leading to the full code. Sounds like any other good java book out there, but for some reason the reading was smooth and logical. His use of class diagrams helps the reader not get lost in the maze of classes and packages. I loved the Java I/O chapter. Thourough and clear treatment! This book contains rich, color illustrations. The...