Data Engineering with Google Cloud Platform - Second Edition: A guide to leveling up as a data engineer by building a scalable data platform with Goog
商品資訊
商品簡介
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
- Purchase of the print or Kindle book includes a free PDF eBook
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 invaluable insights into managing and optimizing data resources effectively. Furthermore, 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
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
主題書展
更多書展本週66折
您曾經瀏覽過的商品
購物須知
外文書商品之書封,為出版社提供之樣本。實際出貨商品,以出版社所提供之現有版本為主。部份書籍,因出版社供應狀況特殊,匯率將依實際狀況做調整。
無庫存之商品,在您完成訂單程序之後,將以空運的方式為你下單調貨。為了縮短等待的時間,建議您將外文書與其他商品分開下單,以獲得最快的取貨速度,平均調貨時間為1~2個月。
為了保護您的權益,「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨,請在商品鑑賞期內寄回,且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。