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Tobias Macey 97 Things Every Data Engineer Should Know (Paperback)
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- Sofort-KaufenTobias Macey 97 Things Every Data Engineer Should Know (Paperback)
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Standort: Fort Lauderdale, Florida, USA
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eBay-Artikelnr.:285357337828
Artikelmerkmale
- Artikelzustand
- Country of Origin
- US
- Subtitle
- Collective Wisdom from the Experts
- EAN
- 9781492062417
- ISBN
- 9781492062417
- Release Year
- 2021
- Book Title
- 97 Things Every Data Engineer Should Know
- Title
- 97 Things Every Data Engineer Should Know
- Genre
- Computing & Internet
- Release Date
- 30/06/2021
Über dieses Produkt
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1492062413
ISBN-13
9781492062417
eBay Product ID (ePID)
7050100980
Product Key Features
Number of Pages
262 Pages
Language
English
Publication Name
97 Things Every Data Engineer Should Know : Collective Wisdom from the Experts
Subject
General, Databases / Data Warehousing, Data Processing, Databases / Data Mining
Publication Year
2021
Type
Textbook
Subject Area
Mathematics, Computers
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
13.2 Oz
Item Length
9 in
Item Width
6 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2022-439040
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.7
Synopsis
Take 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 Number
QA76.9.D343
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