You don't need to own a Kindle device to enjoy Kindle books. Download one of our FREE Kindle apps to start reading Kindle books on all your devices.

  • Apple
  • Android
  • Windows Phone
    Windows Phone
  • Click here to download from Amazon appstore

To get the free app, enter your mobile phone number.


Buying Options

Kindle Price: $36.18
includes tax, if applicable

These promotions will be applied to this item:

Some promotions may be combined; others are not eligible to be combined with other offers. For details, please see the Terms & Conditions associated with these promotions.

Deliver to your Kindle or other device

Deliver to your Kindle or other device


Loading recommendations for you
Recommendations for you

Adding to Cart...

Added to Cart

Not Added

Item is in your Cart

View Cart

Not Added

There was a problem adding this item to Cart. Please try again later.
Sorry, we're having trouble showing recommendations right now. Please try again later.
Continue shopping
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 [Coté, Christian, Kamrat Gutzait, Michelle, Ciaburro, Giuseppe]
Kindle App Ad

Follow the Author

Something went wrong. Please try your request again later.

Hands-On Data Warehousing with Azure Data Factory: ETL techniques to load and transform data from various sources, both on-premises and on cloud 1st Edition, Kindle Edition

3.3 out of 5 stars 5 customer reviews

See all 2 formats and editions Hide other formats and editions
Amazon Price
New from Used from

Length: 286 pages Enhanced Typesetting: Enabled Page Flip: Enabled
Language: English

Get 90 days FREE of Amazon Music Unlimited
with the purchase of any eligible product. Shop now

Product description

Product Description

Leverage the power of Microsoft Azure Data Factory v2 to build hybrid data solutions

Key Features

  • 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

Book 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

Who this book is for

This book is for you if you are a software professional who develops and implements ETL solutions using Microsoft SQL Server or Azure cloud. It will be an added advantage if you are a software engineer, DW/ETL architect, or ETL developer, and know how to create a new ETL implementation or enhance an existing one with ADF or SSIS.

Table of Contents

  1. Azure Data Factory
  2. Getting Started with Our First Data Factory
  3. ADF and SSIS in PaaS
  4. Azure Data Lake
  5. Machine Learning on the Cloud
  6. Sparks with Databrick
  7. Power BI reports

About the Author

Christian Cote 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 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. Giuseppe Ciaburro holds a PhD in environmental technical physics and two master's degrees. His research is on machine learning applications in the study of urban sound environments. He works at Built Environment Control Laboratory, Universita degli Studi della Campania Luigi Vanvitelli (Italy). He has over 15 years' experience in programming Python, R, and MATLAB, first in the field of combustion, and then in acoustics and noise control. He has several publications to his credit.

Product details

  • Format: Kindle Edition
  • File Size: 39120 KB
  • Print Length: 286 pages
  • Page Numbers Source ISBN: 1789137624
  • Publisher: Packt Publishing; 1 edition (31 May 2018)
  • Sold by: Amazon Australia Services, Inc.
  • Language: English
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Screen Reader: Supported
  • Enhanced Typesetting: Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #244,748 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
click to open popover

No customer reviews

5 star (0%) 0%
4 star (0%) 0%
3 star (0%) 0%
2 star (0%) 0%
1 star (0%) 0%

Review this product

Share your thoughts with other customers

Most helpful customer reviews on 3.3 out of 5 stars 5 reviews
4.0 out of 5 starsGood book, wish it was longer
16 April 2019 - Published on
Verified Purchase
Sean Forgatch
3.0 out of 5 starsA beginner's guide to ADF in Azure
12 August 2018 - Published on
Verified Purchase
3 people found this helpful
Amazon Customer
5.0 out of 5 starsgood
23 December 2018 - Published on
Verified Purchase
1.0 out of 5 starsShort and Lack of Explanations
5 September 2019 - Published on
Verified Purchase
Mario Anzaldua
4.0 out of 5 starsSolid intro to ADF v2
24 August 2018 - Published on
5 people found this helpful