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Mastering SQL Server 2017

You're reading from  Mastering SQL Server 2017

Product type Book
Published in Aug 2019
Publisher Packt
ISBN-13 9781838983208
Pages pages
Edition 1st Edition
Languages
Concepts
Authors (5):
Miloš Radivojević Miloš Radivojević
Profile icon Miloš Radivojević
Dejan Sarka Dejan Sarka
Profile icon Dejan Sarka
William Durkin William Durkin
Profile icon William Durkin
Christian Cote Christian Cote
Profile icon Christian Cote
Matija Lah Matija Lah
Profile icon Matija Lah
View More author details
Toc

Table of Contents (20) Chapters close

Title Page
Copyright Contributors About Packt Preface 1. Introduction to SQL Server 2017 2. SQL Server Tools 3. JSON Support in SQL Server 4. Stretch Database 5. Temporal Tables 6. Columnstore Indexes 7. SSIS Setup 8. What Is New in SSIS 2016 9. Key Components of a Modern ETL Solution 10. Dealing with Data Quality 11. Unleash the Power of SSIS Script Task and Component 12. On-Premises and Azure Big Data Integration 13. Extending SSIS Custom Tasks and Transformations 14. Scale Out with SSIS 2017 1. Other Books You May Enjoy

Transforming the data with Hive

The data is now in the cluster in HDFS. We'll now transform it using a SQL script. The program we're using is Hive. This program interacts with the data using SQL statements.

With most Hadoop programs (Hive, Pig, Sparks, and so on), source is read-only. It means that we cannot modify the data in the file that we transferred in the previous recipe. Some languages such as HBase allow us to modify the source data though. But for our purpose, we'll use Hive, a well-known program in the Hadoop ecosystem.

Getting ready

This recipe assumes that you have access to a Hortonworks cluster and that you have transferred data to it following the previous recipe.

...
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