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Data Engineering with Google Cloud Platform

You're reading from   Data Engineering with Google Cloud Platform A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud

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Product type Paperback
Published in Apr 2024
Publisher Packt
ISBN-13 9781835080115
Length 476 pages
Edition 2nd Edition
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Author (1):
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Adi Wijaya Adi Wijaya
Author Profile Icon Adi Wijaya
Adi Wijaya
LinkedIn
Adi Wijaya thrives in the dynamic environment of Indonesia, where he enjoys music, art, sports, technology, and analytics. His inquisitive mind is fueled by a passion for data and human nature which he sees as valuable lenses to understand the world. This curiosity naturally led him to the field of data science, where he co-founded DataLabs Indonesia and now leverages his expertise as a Data Strategic Cloud Engineer at Google.nAdi is driven by a dual mission: empowering organizations to build robust analytics ecosystems and fostering the growth of talented data practitioners. He's deeply committed to the potential of Big Data and Analytics, believing it can revolutionize not just businesses, but also improve government efficiency, and environmental sustainability, and ultimately, enhance human lives.n
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Table of Contents (19) Chapters Close

Preface 1. Part 1: Getting Started with Data Engineering with GCP FREE CHAPTER
2. Chapter 1: Fundamentals of Data Engineering 3. Chapter 2: Big Data Capabilities on GCP 4. Part 2: Build Solutions with GCP Components
5. Chapter 3: Building a Data Warehouse in BigQuery 6. Chapter 4: Building Workflows for Batch Data Loading Using Cloud Composer 7. Chapter 5: Building a Data Lake Using Dataproc 8. Chapter 6: Processing Streaming Data with Pub/Sub and Dataflow 9. Chapter 7: Visualizing Data to Make Data-Driven Decisions with Looker Studio 10. Chapter 8: Building Machine Learning Solutions on GCP 11. Part 3: Key Strategies for Architecting Top-Notch Solutions
12. Chapter 9: User and Project Management in GCP 13. Chapter 10: Data Governance in GCP 14. Chapter 11: Cost Strategy in GCP 15. Chapter 12: CI/CD on GCP for Data Engineers 16. Chapter 13: Boosting Your Confidence as a Data Engineer 17. Index 18. Other Books You May Enjoy

Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Data Engineering with Google Cloud Platform

Adi Wijaya

ISBN: 978-1-80056-132-8

  • Load data into BigQuery and materialize its output for downstream consumption
  • Build data pipeline orchestration using Cloud Composer
  • Develop Airflow jobs to orchestrate and automate a data warehouse
  • Build a Hadoop data lake, create ephemeral clusters, and run jobs on the Dataproc cluster
  • Leverage Pub/Sub for messaging and ingestion for event-driven systems
  • Use Dataflow to perform ETL on streaming data
  • Unlock the power of your data with Data Studio
  • Calculate the GCP cost estimation for your end-to-end data solutions

Database Design and Modeling with Google Cloud

Abirami Sukumaran

ISBN: 978-1-80461-145-6

  • Understand different use cases and real-world applications of...
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Authors (1)

Profile icon Adi Wijaya
Adi Wijaya
LinkedIn icon Github icon
Adi Wijaya thrives in the dynamic environment of Indonesia, where he enjoys music, art, sports, technology, and analytics. His inquisitive mind is fueled by a passion for data and human nature which he sees as valuable lenses to understand the world. This curiosity naturally led him to the field of data science, where he co-founded DataLabs Indonesia and now leverages his expertise as a Data Strategic Cloud Engineer at Google. Adi is driven by a dual mission: empowering organizations to build robust analytics ecosystems and fostering the growth of talented data practitioners. He's deeply committed to the potential of Big Data and Analytics, believing it can revolutionize not just businesses, but also improve government efficiency, and environmental sustainability, and ultimately, enhance human lives.
Read more
See other products by Adi Wijaya

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