Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham, UK
Packt Publishing Ltd.
2024
|
| Edition: | Second edition. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781835080115/?ar |
| Summary: | The second edition of Data Engineering with Google Cloud builds upon the success of the first edition by offering enhanced clarity and depth to data professionals navigating the intricate landscape of data engineering. Beyond its foundational lessons, this new edition delves into the essential realm of data governance within Google Cloud, providing you invaluable insights into managing and optimizing data resources effectively. Furthermore, this book helps you stay ahead of the curve by guiding you through the latest technological advancements in the Google Cloud ecosystem. You'll cover essential aspects, from exploring Cloud Composer 2 to the evolution of Airflow 2.5. Additionally, you'll explore how to work with cutting-edge tools like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream to perform data governance on datasets. By the end of this book, you'll be equipped to navigate the ever-evolving world of data engineering on Google Cloud, from foundational principles to cutting-edge practices. |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | 1 online resource (476 pages) illustrations |
| ISBN: | 1835085369 9781835085363 9781835080115 |
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| spelling | Wijaya, Adi VerfasserIn aut Data engineering with Google Cloud platform a guide to leveling up as a data engineer by building a scalable data platform with Google Cloud Adi Wijaya ; foreword by António Vilares Second edition. Birmingham, UK Packt Publishing Ltd. 2024 1 online resource (476 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index The second edition of Data Engineering with Google Cloud builds upon the success of the first edition by offering enhanced clarity and depth to data professionals navigating the intricate landscape of data engineering. Beyond its foundational lessons, this new edition delves into the essential realm of data governance within Google Cloud, providing you invaluable insights into managing and optimizing data resources effectively. Furthermore, this book helps you stay ahead of the curve by guiding you through the latest technological advancements in the Google Cloud ecosystem. You'll cover essential aspects, from exploring Cloud Composer 2 to the evolution of Airflow 2.5. Additionally, you'll explore how to work with cutting-edge tools like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream to perform data governance on datasets. By the end of this book, you'll be equipped to navigate the ever-evolving world of data engineering on Google Cloud, from foundational principles to cutting-edge practices. Big data Cloud computing Vilares, Anto MitwirkendeR ctb |
| spellingShingle | Wijaya, Adi Data engineering with Google Cloud platform a guide to leveling up as a data engineer by building a scalable data platform with Google Cloud Big data Cloud computing |
| title | Data engineering with Google Cloud platform a guide to leveling up as a data engineer by building a scalable data platform with Google Cloud |
| title_auth | Data engineering with Google Cloud platform a guide to leveling up as a data engineer by building a scalable data platform with Google Cloud |
| title_exact_search | Data engineering with Google Cloud platform a guide to leveling up as a data engineer by building a scalable data platform with Google Cloud |
| title_full | Data engineering with Google Cloud platform a guide to leveling up as a data engineer by building a scalable data platform with Google Cloud Adi Wijaya ; foreword by António Vilares |
| title_fullStr | Data engineering with Google Cloud platform a guide to leveling up as a data engineer by building a scalable data platform with Google Cloud Adi Wijaya ; foreword by António Vilares |
| title_full_unstemmed | Data engineering with Google Cloud platform a guide to leveling up as a data engineer by building a scalable data platform with Google Cloud Adi Wijaya ; foreword by António Vilares |
| title_short | Data engineering with Google Cloud platform |
| title_sort | data engineering with google cloud platform a guide to leveling up as a data engineer by building a scalable data platform with google cloud |
| title_sub | a guide to leveling up as a data engineer by building a scalable data platform with Google Cloud |
| topic | Big data Cloud computing |
| topic_facet | Big data Cloud computing |
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