You're reading from Data Engineering with Google Cloud Platform - Second Edition

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Published inApr 2024

PublisherPackt

ISBN-139781835080115

Edition2nd Edition

Concepts

Data Engineering

Author (1)

Adi Wijaya

Part 2: Build Solutions with GCP Components

This part will talk about leveraging GCP products to support storage systems, pipelines, and infrastructure in a production environment. It will also cover common operations such as data ingestion, data cleansing, transformation, and integrating data with other sources. By the end of this part, you will have acquired practical knowledge to build efficient Extract, Transform, and Load (ETL) data pipelines over GCP.

This part has the following chapters:

Chapter 3, Building a Data Warehouse in BigQuery
Chapter 4, Building Workflows for Batch Data Loading Using Cloud Composer
Chapter 5, Building a Data Lake Using Dataproc
Chapter 6, Processing Streaming Data with Pub/Sub and Dataflow
Chapter 7, Visualizing Data to Make Data-Driven Decisions with Looker Studio
Chapter 8, Building Machine Learning Solutions on GCP

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Published in: Apr 2024Publisher: PacktISBN-13: 9781835080115

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Author (1)

Adi Wijaya

Adi Widjaja is a strategic cloud data engineer at Google. He holds a bachelor's degree in computer science from Binus University and co-founded DataLabs in Indonesia. Currently, he dedicates himself to big data and analytics and has spent a good chunk of his career helping global companies in different industries.
Read more about Adi Wijaya

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