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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
Languages
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Author (1):
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Adi Wijaya Adi Wijaya
Author Profile Icon Adi Wijaya
Adi Wijaya
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Toc

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

Data Governance in GCP

In the information age, data has become essential in businesses and organizations worldwide. Having a data ecosystem that has the ability to collect, store, process, and analyze data is essential for making informed decisions, gaining a competitive edge, and achieving strategic goals. Google Cloud Platform (GCP), with its powerful suite of data management and analysis tools, offers a robust foundation for harnessing the potential of data. However, as data grows in volume and complexity, ensuring its usability, security, and accountability becomes important. This is where data governance in GCP plays a pivotal role.

Data governance is the set of tools, practices, and policies that dictate how data is managed, maintained, and used within an organization. GCP encompasses a wide array of tools, processes, and best practices designed to ensure that data is accurate, secure, and compliant with regulations. Whether you’re a data scientist, a data engineer...

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