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- Title: The Evolving Role of the Data Engineer: Change and Continuity in Data Practices
- Author(s) Andy Oram
- Publisher: O’Reilly Media; eBook (Compliments of Qubole)
- Permission: Free eBook Complimented by Qubole
- Hardcover/Paperback: N/A
- eBook: PDF
- Language: English
- ISBN-10/ASIN: N/A
- ISBN-13: 978-1-492-05248-7
- Share This:
If you're pursuing a career in data engineering or looking for ways to adapt your enterprise to the world of big data, this report shares the knowledge you need to find your way forward.
About the Author- N/A
- Data Science and Data Engineering
- Data Analysis and Data Mining
- Big Data
- Machine Learning
- Unix/Linux Shell Scripting
- The Evolving Role of the Data Engineer (Andy Oram)
- The Mirror Site (1) - PDF
- The Mirror Site (1) - PDF
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97 Things Every Data Engineer Should Know (Tobias Macey)
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Data Engineering Cookbook: The Plumbing of Data Science
This is a practical and comprehensive guide. You will learn the basics of data engineering. Then you will learn the technologies and frameworks required to build data pipelines to work with large datasets.
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Data Science at the Command Line, 2nd Ed. (Jeroen Janssens)
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The Data Engineer's Guide to Apache Spark (Databricks)
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The Ultimate Guide to Effective Data Cleaning
With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Experts share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.
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Building the Data Lakehouse (Bill Inmon, et al.)
Learn about the features and architecture of the data lakehouse, along with its powerful analytical infrastructure. The data lakehouse is the next generation of the data warehouse and data lake.
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97 Things Every Cloud Engineer Should Know: from the Experts
With this book, professionals from around the world provide valuable insight into today's cloud engineering role. It explore the entire cloud computing experience, including fundamentals, architecture, and migration.
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