Обкладинка - м"яка

Рік видання - 2024

Кількість сторінок - 476

Папір - білий, офсет

Become a successful data engineer by building and deploying your own data pipelines on Google Cloud, including making key architectural decisions

Key Features

Get up to speed with data governance on Google Cloud

Learn how to use various Google Cloud products like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream

Boost your confidence by getting Google Cloud data engineering certification guidance from real exam experiences

Book Description

The second edition of Data Engineering with Google Cloud builds upon the success of the first edition by offering enhanced clarity and depth to data professionals navigating the intricate landscape of data engineering.

Beyond its foundational lessons, this new edition delves into the essential realm of data governance within Google Cloud, providing you with invaluable insights into managing and optimizing data resources effectively. Written by a Data Strategic Cloud Engineer at Google, this book helps you stay ahead of the curve by guiding you through the latest technological advancements in the Google Cloud ecosystem. You’ll cover essential aspects, from exploring Cloud Composer 2 to the evolution of Airflow 2.5. Additionally, you’ll explore how to work with cutting-edge tools like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream to perform data governance on datasets.

By the end of this book, you'll be equipped to navigate the ever-evolving world of data engineering on Google Cloud, from foundational principles to cutting-edge practices.

What you will learn

Load data into BigQuery and materialize its output

Focus on data pipeline orchestration using Cloud Composer

Formulate Airflow jobs to orchestrate and automate a data warehouse

Establish a Hadoop data lake, generate ephemeral clusters, and execute jobs on the Dataproc cluster

Harness Pub/Sub for messaging and ingestion for event-driven systems

Apply Dataflow to conduct ETL on streaming data

Implement data governance services on Google Cloud

Who this book is for

Data analysts, IT practitioners, software engineers, or any data enthusiasts looking to have a successful data engineering career will find this book invaluable. Additionally, experienced data professionals who want to start using Google Cloud to build data platforms will get clear insights on how to navigate the path. Whether you're a beginner who wants to explore the fundamentals or a seasoned professional seeking to learn the latest data engineering concepts, this book is for you.

Table of Contents

Fundamentals of Data engineering with GCP

Big Data Capabilities on GCP

Building a data warehouse in BigQuery

Build Orchestration for Batch Data Loading Using Cloud Composer

Building a Data Lake using Dataproc

Process Streaming Data with Datastream, Pub/Sub and Dataflow

Visualizing Data for Making Data-Driven Decisions with Looker Studio

Build machine learning solutions on GCP

User and Project Management on GCP

Data Governance in GCP

Cost Strategy in GCP

CI/CD on Google Cloud Platform for Data Engineers

Boost your confidence as a Data Engineer

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