Book Image

SQL Server 2017 Integration Services Cookbook

By : Christian Cote, Dejan Sarka, David Peter Hansen, Matija Lah, Samuel Lester, Christo Olivier
Book Image

SQL Server 2017 Integration Services Cookbook

By: Christian Cote, Dejan Sarka, David Peter Hansen, Matija Lah, Samuel Lester, Christo Olivier

Overview of this book

SQL Server Integration Services is a tool that facilitates data extraction, consolidation, and loading options (ETL), SQL Server coding enhancements, data warehousing, and customizations. With the help of the recipes in this book, you’ll gain complete hands-on experience of SSIS 2017 as well as the 2016 new features, design and development improvements including SCD, Tuning, and Customizations. At the start, you’ll learn to install and set up SSIS as well other SQL Server resources to make optimal use of this Business Intelligence tools. We’ll begin by taking you through the new features in SSIS 2016/2017 and implementing the necessary features to get a modern scalable ETL solution that fits the modern data warehouse. Through the course of chapters, you will learn how to design and build SSIS data warehouses packages using SQL Server Data Tools. Additionally, you’ll learn to develop SSIS packages designed to maintain a data warehouse using the Data Flow and other control flow tasks. You’ll also be demonstrated many recipes on cleansing data and how to get the end result after applying different transformations. Some real-world scenarios that you might face are also covered and how to handle various issues that you might face when designing your packages. At the end of this book, you’ll get to know all the key concepts to perform data integration and transformation. You’ll have explored on-premises Big Data integration processes to create a classic data warehouse, and will know how to extend the toolbox with custom tasks and transforms.
Table of Contents (18 chapters)
Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

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...