97 Things Every Data Engineer Should Know : Collective Wisdom from the Experts by Tobias Macey (2021, Trade Paperback)

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Product Identifiers

PublisherO'reilly Media, Incorporated
ISBN-101492062413
ISBN-139781492062417
eBay Product ID (ePID)7050100980

Product Key Features

Number of Pages250 Pages
Publication Name97 Things Every Data Engineer Should Know : Collective Wisdom from the Experts
LanguageEnglish
SubjectGeneral, Data Processing, Databases / Data Warehousing, Databases / Data Mining
Publication Year2021
TypeTextbook
AuthorTobias Macey
Subject AreaMathematics, Computers
FormatTrade Paperback

Dimensions

Item Height0.7 in
Item Weight13.2 Oz
Item Length9 in
Item Width6 in

Additional Product Features

Intended AudienceScholarly & Professional
LCCN2022-439040
Dewey Edition23
IllustratedYes
Dewey Decimal005.7
SynopsisTake advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers. Topics include: The Importance of Data Lineage - Julien Le Dem Data Security for Data Engineers - Katharine Jarmul The Two Types of Data Engineering and Data Engineers - Jesse Anderson Six Dimensions for Picking an Analytical Data Warehouse - Gleb Mezhanskiy The End of ETL as We Know It - Paul Singman Building a Career as a Data Engineer - Vijay Kiran Modern Metadata for the Modern Data Stack - Prukalpa Sankar Your Data Tests Failed! Now What? - Sam Bail
LC Classification NumberQA76.9.D343

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