97 things every data engineer should know

• Titel: 97 things every data engineer should know
• Mitwirkende: Macey, Tobias [HerausgeberIn]
• Mitwirkende: Beresford, Emily [ErzählerIn]
• Verf.angabe: Tobias Macey
• Ausgabe: [First edition].
• Verlagsort: [Place of publication not identified]
• Verlag: Ascent Audio
• Jahr: 2023
• Umfang: 1 online resource (1 sound file (5 hr., 41 min.))
• Fussnoten: Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
• ISBN: 978-1-6637-3233-0
• ISBN: 1-6637-3233-7
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Audiobooks
• K10plus-PPN: 1871286174
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4418429948
• Lokale URL Inst.: Zum Volltext

Abstract

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.