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Azure Data Engineer Associate Certification Guide. A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam Newton Alex

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Azure Data Engineer Associate Certification Guide. A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam Newton Alex - okladka książki

Azure Data Engineer Associate Certification Guide. A hands-on reference guide to developing your data engineering skills and preparing for the DP-203 exam Newton Alex - okladka książki

Autor:
Newton Alex
Serie wydawnicze:
Beginners Guide
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
574
Dostępne formaty:
     PDF
     ePub

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Azure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing. Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data engineering jobs, with aspiring and experienced data engineers trying to outshine each other.
Gaining the DP-203: Azure Data Engineer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Engineer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data engineering solutions. Throughout the chapters, you'll learn about the various Azure components involved in building the data systems and will explore them using a wide range of real-world use cases. Finally, you’ll work on sample questions and answers to familiarize yourself with the pattern of the exam.
By the end of this Azure book, you'll have gained the confidence you need to pass the DP-203 exam with ease and land your dream job in data engineering.

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O autorze książki

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.

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