97 Things Every Data Engineer Should Know
Seiten
2020
O'Reilly Media (Verlag)
978-1-0981-1504-3 (ISBN)
O'Reilly Media (Verlag)
978-1-0981-1504-3 (ISBN)
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With this in-depth book, data engineers will learn powerful, real-world best practices for managing data--both big and small. Contributors from companies including Google, Microsoft, IBM, Facebook, Databricks, and GitHub share their experiences and lessons learned on cleaning, prepping, wrangling, and storing data.
You'll learn best practices for:
Building pipelines
Stream processing
Data privacy and security
Data governance and lineage
Data storage and architecture
Ecosystem of modern tools
Career advice
Data team makeup and culture
You'll learn best practices for:
Building pipelines
Stream processing
Data privacy and security
Data governance and lineage
Data storage and architecture
Ecosystem of modern tools
Career advice
Data team makeup and culture
Known as a "player/coach", with core expertise in data science, natural language processing, machine learning, cloud computing; 35+ years tech industry experience, ranging from Bell Labs to early-stage start-ups. Co-chair Rev. Advisor for Amplify Partners, Recognai, Primer, Data Spartan. Recent roles: Director, Learning Group @ O'Reilly Media; Director, Community Evangelism @ Databricks and Apache Spark. Cited in 2015 as one of the Top 30 People in Big Data and Analytics by Innovation Enterprise.
| Erscheint lt. Verlag | 26.5.2020 |
|---|---|
| Verlagsort | Sebastopol |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| ISBN-10 | 1-0981-1504-X / 109811504X |
| ISBN-13 | 978-1-0981-1504-3 / 9781098115043 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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