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Digital Audiobook
97 Things Every Data Engineer Should Know by Emily Beresford

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97 Things Every Data Engineer Should Know

Publisher
Ascent Audio
Publish Date
28 November 2023
Run Time
5 hours 40 minutes
Format
Audiobook
$13.95

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What to expect

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 ninety-seven 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

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Details

Author
Emily Beresford
Narrator
Emily Beresford
Duration
5 hours 40 minutes
Release Date
28 November 2023
ISBN
9781663732323
Format
Audiobook
Publisher
Ascent Audio
Genre
Data warehousing, Software testing and verification, Data mining

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 ninety-seven 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

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