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Azure Data Engineer Associate Certification Guide, published by Packt

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Azure Data Engineer Associate Certification Guide

This is the code repository for Azure Data Engineer Associate Certification Guide, published by Packt. A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam

What is this book about?

If you feel this book is for you, get your copy today!

https://www.packtpub.com/

Instructions and Navigations

All of the code is organized into folders.

The code will look like the following:

SELECT trip.[tripId], customer.[name] FROM dbo.FactTrips AS trip JOIN dbo.DimCustomer AS customer ON trip.[customerId] = customer.[customerId] WHERE trip.[endLocation] = 'San Jose'; 

Following is what you need for this book: This book is for data engineers who want to take the DP-203: Azure Data Engineer Associate exam and are looking to gain in-depth knowledge of the Azure cloud stack. The book will also help engineers and product managers who are new to Azure or interviewing with companies working on Azure technologies, to get hands-on experience of Azure data technologies. A basic understanding of cloud technologies, extract, transform, and load (ETL), and databases will help you get the most out of this book.

With the following software and hardware list you can run all code files present in the book (Chapter 1-15).

Software and Hardware List

Chapter Software required OS required
1-15 Azure account (free or paid) Windows, Mac OS X, and Linux (Any)
1-15 Azure CLI Windows, Mac OS X, and Linux (Any)

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.

Related products

Get to Know the Authors

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo’s ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.

Download a free PDF

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.