You're reading from Data Engineering with Google Cloud Platform

Product typeBook

Published inMar 2022

Reading LevelBeginner

PublisherPackt

ISBN-139781800561328

Edition1st Edition

Languages

Python

Tools

Google Cloud Platform

Concepts

Data Analysis

Author (1)

Adi Wijaya

Section 2: Building 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 the practical knowledge to build efficient ETL data pipelines via GCP.

This section comprises the following chapters:

Chapter 3, Building a Data Warehouse in BigQuery
Chapter 4, Building Orchestration 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 for Making Data-Driven Decisions with Data Studio
Chapter 8, Building Machine Learning Solutions on Google Cloud Platform

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Data Engineering with Google Cloud Platform

Published in: Mar 2022Publisher: PacktISBN-13: 9781800561328

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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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