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Data Engineering with Google Cloud Platform: A guide to leveling up as a data en

Description: Data Engineering with Google Cloud Platform by Adi Wijaya, António Vilares Estimated delivery 3-12 business days Format Paperback Condition Brand New Description This book will help you delve into data governance on Google Cloud. Moreover, youll also cover the latest technological advancements in the domain and be able to build and deploy data pipelines confidently. Publisher Description Become a successful data engineer by building and deploying your own data pipelines on Google Cloud, including making key architectural decisionsKey FeaturesGet up to speed with data governance on Google CloudLearn how to use various Google Cloud products like Dataform, DLP, Dataplex, Dataproc Serverless, and DatastreamBoost your confidence by getting Google Cloud data engineering certification guidance from real exam experiencesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe 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. Youll cover essential aspects, from exploring Cloud Composer 2 to the evolution of Airflow 2.5. Additionally, youll 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, youll be equipped to navigate the ever-evolving world of data engineering on Google Cloud, from foundational principles to cutting-edge practices.What you will learnLoad data into BigQuery and materialize its outputFocus on data pipeline orchestration using Cloud ComposerFormulate Airflow jobs to orchestrate and automate a data warehouseEstablish a Hadoop data lake, generate ephemeral clusters, and execute jobs on the Dataproc clusterHarness Pub/Sub for messaging and ingestion for event-driven systemsApply Dataflow to conduct ETL on streaming dataImplement data governance services on Google CloudWho this book is forData 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 youre 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. Author Biography Adi Wijaya thrives in the dynamic environment of Indonesia, where he enjoys music, art, sports, technology, and analytics. His inquisitive mind is fueled by a passion for data and human nature which he sees as valuable lenses to understand the world. This curiosity naturally led him to the field of data science, where he co-founded DataLabs Indonesia and now leverages his expertise as a Data Strategic Cloud Engineer at Google.Adi is driven by a dual mission: empowering organizations to build robust analytics ecosystems and fostering the growth of talented data practitioners. Hes deeply committed to the potential of Big Data and Analytics, believing it can revolutionize not just businesses, but also improve government efficiency, and environmental sustainability, and ultimately, enhance human lives. Details ISBN 1835080111 ISBN-13 9781835080115 Title Data Engineering with Google Cloud Platform Author Adi Wijaya, António Vilares Format Paperback Year 2024 Pages 476 Edition 2nd Publisher Packt Publishing Limited GE_Item_ID:160056164; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 49.54 USD

Location: Fairfield, Ohio

End Time: 2024-11-18T04:18:22.000Z

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Data Engineering with Google Cloud Platform: A guide to leveling up as a data en

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9781835080115

Book Title: Data Engineering with Google Cloud Platform

Publication Name: Data Engineering with Google Cloud Platform : A Guide to Leveling up As a Data Engineer by Building a Scalable Data Platform with Google Cloud

Language: English

Publisher: Packt Publishing, The Limited

Publication Year: 2024

Subject: General, Data Processing

Type: Textbook

Item Length: 92.5 in

Author: Adi Wijaya

Subject Area: Mathematics, Computers

Item Width: 75 in

Format: Trade Paperback

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