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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 Christian Cote , Michelle Gutzait , Giuseppe Ciaburro
$39.99 $27.98
Book May 2018 284 pages 1st Edition
eBook
$39.99 $27.98
Print
$48.99
Subscription
$15.99 Monthly
eBook
$39.99 $27.98
Print
$48.99
Subscription
$15.99 Monthly

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Product Details


Publication date : May 31, 2018
Length 284 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789137620
Category :
Concepts :
toc View table of contents toc Preview Book toc Download Code

Key benefits

  • • Combine the power of Azure Data Factory v2 and SQL Server Integration Services
  • • Design and enhance performance and scalability of a modern ETL hybrid solution
  • • Interact with the loaded data in data warehouse and data lake using Power BI

Description

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.

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

What do you get with eBook?

Feature icon Instant access to your Digital eBook purchase
Feature icon Download this book in EPUB and PDF formats
Feature icon Access this title in our online reader with advanced features
Feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : May 31, 2018
Length 284 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781789137620
Category :
Concepts :

Table of Contents

12 Chapters
Title Page Packt Packt
Packt Upsell Packt Packt
Contributors Packt Packt
Preface Packt Packt
The Modern Data Warehouse Packt Packt
Getting Started with Our First Data Factory Packt Packt
SSIS Lift and Shift Packt Packt
Azure Data Lake Packt Packt
Machine Learning on the Cloud Packt Packt
Introduction to Azure Databricks Packt Packt
Reporting on the Modern Data Warehouse Packt Packt
Index Packt Packt

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