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You're reading from  SQL Server 2017 Integration Services Cookbook

Product typeBook
Published inJun 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781786461827
Edition1st Edition
Languages
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Authors (6):
Christian Cote
Christian Cote
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Christian Cote

Christian Cote is an IT professional with more than 15 years of experience working in a data warehouse, Big Data, and business intelligence projects. Christian developed expertise in data warehousing and data lakes over the years and designed many ETL/BI processes using a range of tools on multiple platforms. He's been presenting at several conferences and code camps. He currently co-leads the SQL Server PASS chapter. He is also a Microsoft Data Platform Most Valuable Professional (MVP).
Read more about Christian Cote

Dejan Sarka
Dejan Sarka
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Dejan Sarka

Dejan Sarka, MCT and Microsoft Data Platform MVP, is an independent trainer and consultant who focuses on the development of database and business intelligence applications. He is the founder of the Slovenian SQL Server and .NET Users Group.
Read more about Dejan Sarka

Matija Lah
Matija Lah
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Matija Lah

Matija Lah has more than 18 years of experience working with Microsoft SQL Server, mostly from architecting data-centric solutions in the legal domain. His contributions to the SQL Server community have led to him being awarded the MVP Professional award (Data Platform) between 2007 and 2017/2018. He spends most of his time on projects involving advanced information management and natural language processing, but often finds time to speak at events related to Microsoft SQL Server where he loves to share his experience with the SQL Server platform.
Read more about Matija Lah

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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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SQL Server 2017 Integration Services Cookbook
Published in: Jun 2017Publisher: PacktISBN-13: 9781786461827

Authors (6)

author image
Christian Cote

Christian Cote is an IT professional with more than 15 years of experience working in a data warehouse, Big Data, and business intelligence projects. Christian developed expertise in data warehousing and data lakes over the years and designed many ETL/BI processes using a range of tools on multiple platforms. He's been presenting at several conferences and code camps. He currently co-leads the SQL Server PASS chapter. He is also a Microsoft Data Platform Most Valuable Professional (MVP).
Read more about Christian Cote

author image
Dejan Sarka

Dejan Sarka, MCT and Microsoft Data Platform MVP, is an independent trainer and consultant who focuses on the development of database and business intelligence applications. He is the founder of the Slovenian SQL Server and .NET Users Group.
Read more about Dejan Sarka

author image
Matija Lah

Matija Lah has more than 18 years of experience working with Microsoft SQL Server, mostly from architecting data-centric solutions in the legal domain. His contributions to the SQL Server community have led to him being awarded the MVP Professional award (Data Platform) between 2007 and 2017/2018. He spends most of his time on projects involving advanced information management and natural language processing, but often finds time to speak at events related to Microsoft SQL Server where he loves to share his experience with the SQL Server platform.
Read more about Matija Lah