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SQL Server 2017 Integration Services Cookbook

You're reading from   SQL Server 2017 Integration Services Cookbook Powerful ETL techniques to load and transform data from almost any source

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781786461827
Length 558 pages
Edition 1st Edition
Languages
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Authors (6):
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Matija Lah Matija Lah
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Matija Lah
Christo Olivier Christo Olivier
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Christo Olivier
Christian Cote Christian Cote
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Christian Cote
Dejan Sarka Dejan Sarka
Author Profile Icon Dejan Sarka
Dejan Sarka
David Peter Hansen David Peter Hansen
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David Peter Hansen
Samuel Lester Samuel Lester
Author Profile Icon Samuel Lester
Samuel Lester
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Toc

Table of Contents (12) Chapters Close

Preface 1. SSIS Setup FREE CHAPTER 2. What Is New in SSIS 2016 3. Key Components of a Modern ETL Solution 4. Data Warehouse Loading Techniques 5. Dealing with Data Quality 6. SSIS Performance and Scalability 7. Unleash the Power of SSIS Script Task and Component 8. SSIS and Advanced Analytics 9. On-Premises and Azure Big Data Integration 10. Extending SSIS Custom Tasks and Transformations 11. Scale Out with SSIS 2017

Using Hive – creating a database


Hive is one of the languages used in Hadoop to interact with large volumes of data. It is very easy to learn since it uses SQL commands. This recipe will show you how we can use Hive to transform data from our source. Although we have only 542 lines of data in our file, we can still use it to learn Hadoop services calls.

In this recipe, we're going to create a database in Hive.

Getting ready

This recipe assumes that you have access to a Hortonworks sandbox on-premises or in Azure. It is also assumed that you have executed the previous recipe.

How to do it...

  1. Open Ambari and navigate to http://Sandbox.Hortonworks.com:8080. Use raj_ops for both the username and password to log in.
  2. Click on the more icon (nine-squares button near raj_ops) in the toolbar and select Hive View 2.0, as shown in the following screenshot:

  1. Type create database SSISCookBook in Worksheet1 and click on Execute, as shown in the following screenshot:

  1. Refresh your browser and click on Browse...
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