Fundamentals of Data Engineering
Plan and Build Robust Data Systems
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Narrated by:
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Adam Verner
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By:
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Joe Reis
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Matt Housley
About this listen
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.
This book will help you: get a concise overview of the entire data engineering landscape; assess data engineering problems using an end-to-end framework of best practices; cut through marketing hype when choosing data technologies, architecture, and processes; use the data engineering lifecycle to design and build a robust architecture; and incorporate data governance and security across the data engineering lifecycle.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2022 Joseph Reis and Matthew Housley (P)2023 Ascent AudioListeners also enjoyed...
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Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.
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Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.
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Run a Google search for “black girls” - what will you find? “Big Booty” and other sexually explicit terms are likely to come up as top search terms. But, if you type in “white girls”, the results are radically different. The suggested porn sites and un-moderated discussions about “why black women are so sassy” or “why black women are so angry” presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities.
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Read this book. Tell everyone you know about it.
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Best Read in Print Format
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A detailed examination of Tesla's work
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WOW!
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What listeners say about Fundamentals of Data Engineering
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- JUAN CARLOS MARTINEZ LOERA
- 07-09-24
Great overview
Great overview of Data Engineering, as long as you are familiar with data concepts, this will be much
easier to understand.
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- Alexey
- 01-30-24
Great book and narrator
I liked this book, I think it gives a good high level view on the data engineering domain. Also it is one of the few audio books that cover this topic
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- Anonymous User
- 12-30-23
The original book was quite well converted to audio form.
Please fix the chapter names, since they currently don't correspond to chapter names in the printed book.
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- Amazon Customer
- 07-29-24
technical yet consumable data engineering introduction
Well written and organized; excellent technical reference with current technology stack frameworks used. I would highly recommend this to anyone who is already in IT and interested to learnore about this specialization.
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- Anonymous User
- 08-27-24
Great overview of the fundamentals of data engineering!!
The book "Fundamentals of Data Engineering" is giving a very good intro to the very big area it covers. It is defining Data Engineering based on the very lifecycle it serves, as well as the surroundings knowledge of data management.
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- LmL
- 08-14-24
Great for Hands on Business owners
While technical and exact. The book focuses on fundamentals, therefore usable even for non-computer programmers.
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- Tre
- 12-25-23
Like reading a dictionary
I wish there had been more personality or storytelling. It reads like a textbook or dictionary. In the last chapter it mentions that they hoped they conveyed their passion and that really surprised me because the text was so detached that I didn't get any impression of the authors or their passion.
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- Amazon Customer
- 09-29-24
Good info, awful recording,
Book does a decent job laying out the landscape of this discipline that underpins modern society. Digital supplement won’t load to mobile. The reading sounds robotic. Just buy the book online
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