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O'Reilly Things Every Data Engineer Should Know: 2021 Wisdom From Experts

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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Pages
262
Series
1
Publication Date
2021-07-20
Book Title
97 Things Every Data Engineer Should Know: Collective Wisdom from
Educational Level
Adult & Further Education, Vocational School
Features
Collection
Level
Beginner, Intermediate, Business, Technical
ISBN
9781492062417
Subject Area
Mathematics, Computers
Publication Name
97 Things Every Data Engineer Should Know : Collective Wisdom from the Experts
Publisher
O'reilly Media, Incorporated
Item Length
9 in
Subject
General, Data Processing, Databases / Data Warehousing, Databases / Data Mining
Publication Year
2021
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.7 in
Author
Tobias Macey
Item Weight
13.8 Oz
Item Width
6 in
Number of Pages
262 Pages

About this product

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, Data Processing, Databases / Data Warehousing, Databases / Data Mining
Publication Year
2021
Type
Textbook
Author
Tobias Macey
Subject Area
Mathematics, Computers
Format
Trade Paperback

Dimensions

Item Height
0.7 in
Item Weight
13.8 Oz
Item Length
9 in
Item Width
6 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2022-439040
Dewey Edition
23
CLASSIFICATION_METADATA
{"IsNonfiction":["No"],"IsOther":["No"],"IsAdult":["No"],"MuzeFormatDesc":["Trade Paperback"],"IsChildren":["No"],"Genre":["MATHEMATICS","COMPUTERS"],"Topic":["General","Data Processing","Databases / Data Mining","Databases / Data Warehousing"],"IsTextBook":["Yes"],"IsFiction":["No"]}
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
ebay_catalog_id
4

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