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Can I read Data engineering with Google Cloud Platform : a practical guide to operationalizing scalable data analytics systems on GCP on EtoBox?
Data engineering with Google Cloud Platform : a practical guide to operationalizing scalable data analytics systems on GCP by Adi Wijaya is a nonfiction available to read on EtoBox.
What is Data engineering with Google Cloud Platform : a practical guide to operationalizing scalable data analytics systems on GCP about?
Build and deploy your own data pipelines on GCP, make key architectural decisions, and gain the confidence to boost your career as a data engineer Key Features: Understand data engineering concepts, the role of a data engineer, and the benefits of using GCP for building your solution Learn how to use the various GCP products to ingest, consume, and transform data and orchestrate pipelines Discover tips to prepare for and pass the Professional Data Engineer exam Book Description: With this book,
Who reads Data engineering with Google Cloud Platform : a practical guide to operationalizing scalable data analytics systems on GCP?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Adi Wijaya
- Publisher
- PACKT PUBLISHING LIMITED
- Published
- 2022
- Language
- EN
- ISBN
- 9781800561328
- Category
- nonfiction
- Subjects
- Computer Science, Algorithms And Data Structures, Stem
- Rating
- 4.6 / 5 (20 ratings)
- Updated
- 2026-03-14
Other editions & translations
- Data Engineering Best Practices: Architect robust and cost-effective data solutions in the cloud era (2024)
- Data Engineering with Google Cloud Platform: A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud (2024)
- Data Engineering with Google Cloud Platform, 2nd Edition (2024)
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