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ETL with Azure Cookbook

You're reading from ETL with Azure Cookbook

Product type Book

Published in Sep 2020

Publisher Packt

ISBN-13 9781800203310

Pages 446 pages

Edition 1st Edition

Languages

Concepts

Authors (3):

Christian Cote

Matija Lah

Madina Saitakhmetova

View More author details

Table of Contents (12) Chapters

Preface

1. Chapter 1: Getting Started with Azure and SSIS 2019

2. Chapter 2: Introducing ETL

3. Chapter 3: Creating and Using SQL Server 2019 Big Data Clusters

4. Chapter 4: Azure Data Integration

5. Chapter 5: Extending SSIS with Custom Tasks and Transformations

6. Chapter 6: Azure Data Factory

7. Chapter 7: Azure Databricks

8. Chapter 8: SSIS Migration Strategies

9. Chapter 9: Profiling data in Azure

10. Chapter 10: Manage SSIS and Azure Data Factory with Biml

11. Other Books You May Enjoy

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Extracting data from a Big Data Cluster

In this recipe, you are going to complete the development of an SSIS solution used to extract data from a database hosted on a Big Data Cluster instance in Azure and load it into a database hosted on the local SQL Server instance.

The purpose of this package is to reduce the size of the data that actually needs to be transferred from the external source into the line-of-business database, by restricting the remote source set to only contain data that does not yet exist in the local database.

In general, determining the delta hardly represents a task worthy of the capabilities available in Big Data Clusters or a typical case for using Spark; however, it does represent a very significant element in efficient data warehousing.

Getting ready

This recipe assumes that you have completed the preceding recipe in this chapter, entitled Loading data into a Big Data Cluster, and that the expected data is available in the dbo.NewPeople external...

The rest of the chapter is locked

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Authors (3)

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).

See other products by Christian Cote

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.

See other products by Matija Lah

Madina Saitakhmetova

Madina Saitakhmetova is a developer specializing in BI. She has been in IT for 15 years, working first with Microsoft SQL, .Net Framework, and then Microsoft BI, BIML and Azure. Her adventure with Microsoft BI began with Analysis Services and SSIS, but she is leaning towards ETL development, both on premises and in the cloud, in later years. Finding patterns, automating processes and making BI team work more efficient are challenges that drive her. During past few years, BIML has become an important part of her work, increasing efficiency and quality

See other products by Madina Saitakhmetova

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