Data Engineering with Google Cloud Platform

Data Engineering with Google Cloud Platform

eBook Details:

  • Paperback: 440 pages
  • Publisher: WOW! eBook (March 31, 2022)
  • Language: English
  • ISBN-10: 1800561326
  • ISBN-13: 978-1800561328

eBook Description:

Data Engineering with Google Cloud Platform: 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

With this Data Engineering with Google Cloud Platform book, you’ll understand how the highly scalable Google Cloud Platform (GCP) enables data engineers to create end-to-end data pipelines right from storing and processing data and workflow orchestration to presenting data through visualization dashboards.

Starting with a quick overview of the fundamental concepts of data engineering, you’ll learn the various responsibilities of a data engineer and how GCP plays a vital role in fulfilling those responsibilities. As you progress through the chapters, you’ll be able to leverage GCP products to build a sample data warehouse using Cloud Storage and BigQuery and a data lake using Dataproc. The book gradually takes you through operations such as data ingestion, data cleansing, transformation, and integrating data with other sources. You’ll learn how to design IAM for data governance, deploy ML pipelines with the Vertex AI, leverage pre-built GCP models as a service, and visualize data with Google Data Studio to build compelling reports. Finally, you’ll find tips on how to boost your career as a data engineer, take the Professional Data Engineer certification exam, and get ready to become an expert in data engineering with GCP.

  • 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

By the end of this Data Engineering with Google Cloud Platform book, you’ll have developed the skills to perform core data engineering tasks and build efficient ETL data pipelines with GCP.

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