Hands-On Data Warehousing with Azure Data Factory


Hands-On Data Warehousing with Azure Data Factory: ETL techniques to load and transform data from various sources, both on-premises and on cloud
By 作者: Christian Cote - Michelle Gutzait - Giuseppe Ciaburro
ISBN-10 书号: 1789137624
ISBN-13 书号: 9781789137620
Release Finelybook 出版日期: 2018-05-31
pages 页数: (284 )

The Book Description robot was collected from Amazon and arranged by Finelybook

ETL is one of the essential techniques in data processing. Given data is everywhere, ETL will always be the vital process to handle data from different sources.

Hands-On Data Warehousing with Azure Data Factory starts with the basic concepts of data warehousing and ETL process. You will learn how Azure Data Factory and SSIS can be used to understand the key components of an ETL solution. You will go through different services offered by Azure that can be used by ADF and SSIS, such as Azure Data Lake Analytics, Machine Learning and Databrick’s Spark with the help of practical examples. You will explore how to design and implement ETL hybrid solutions using different integration services with a step-by-step approach. Once you get to grips with all this, you will use Power BI to interact with data coming from different sources in order to reveal valuable insights.

By the end of this book, you will not only learn how to build your own ETL solutions but also address the key challenges that are faced while building them.


Contents


1: THE MODERN DATA WAREHOUSE
2: GETTING STARTED WITH OUR FIRST DATA FACTORY
3: SSIS LIFT AND SHIFT
4: AZURE DATA LAKE
5: MACHINE LEARNING ON THE CLOUD
6: INTRODUCTION TO AZURE DATABRICKS
7: REPORTING ON THE MODERN DATA WAREHOUSE
What You Will Learn
Understand the key components of an ETL solution using Azure Data Factory and Integration Services
Design the architecture of a modern ETL hybrid solution
Implement ETL solutions for both on-premises and Azure data
Improve the performance and scalability of your ETL solution
Gain thorough knowledge of new capabilities and features added to Azure Data Factory and Integration Services
Authors
Christian Cote
Christian Coté has been in IT for more than 12 years. He is an MS-certified technical specialist in business intelligence (MCTS-BI). For about 10 years, he has been a consultant in ETL/BI projects. His ETL projects have used various ETL tools and plain code with various RDBMSes (such as Oracle and SQL Server). He is currently working on his sixth SSIS implementation in 4 years.

Michelle Gutzait
Michelle Gutzait has been in IT for 30 years as a developer, business analyst, and database consultant. She has worked with MS SQL Server for 20 years. Her skills include infrastructure and database design, performance tuning, security, HADR solutions, consolidation, very large databases, replication, T-SQL coding and optimization, SSIS, SSRS, SSAS, admin and infrastructure tools development, cloud services, training developers, DBAs, and more. She has been an Oracle developer, business analyst, and development team lead.

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