Top Data Engineering books curated by experts

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Top Data Engineering books recommended by experts
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Fundamentals of Data Engineering

Understanding the concepts of Data Engineering starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, strea…

Recommended by the experts and mentors at MentorCruise.

The Data Warehouse Toolkit

The Data Warehouse Toolkit

One of the most dramatic new developments in database design, the dimensional data warehouse is a powerful database model that.significantly enhances managers' ability to quickly analyze large, multidimensional data sets. Written by the leading proponent of this revolutionary new approach, this …

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Fundamentals of Data Analytics: Learn Essential Skills, Embrace the Future, and Catapult Your Career in the Data-Driven World—A Comprehensive Guide to Data Literacy for Beginners

Fundamentals of Data Analytics: Learn Essential Skills, Embrace the Future, and Catapult Your Career in the Data-Driven World—A Comprehensive Guide to Data Literacy for Beginners

Did you know that every minute, people around the world make 5.9 million searches on Google, share 1.7 million posts on Facebook, and watch 1 million hours of videos?

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Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street

Ace the Data Science Interview: 201 Real Interview Questions Asked By FAANG, Tech Startups, & Wall Street

Kevin Huo is currently a Data Scientist at a Hedge Fund, and previously was a Data Scientist at Facebook working on Facebook Groups. He holds a degree in Computer Science from the University of Pennsylvania and a degree in Business from Wharton. In college he interned at Facebook, Bloomberg, and…

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Big Data

Big Data

Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by …

Recommended by the experts and mentors at MentorCruise.

The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling

The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling

The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling,and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehe…

Recommended by the experts and mentors at MentorCruise.

Additional Data Engineering Reading

These books are not required for you to learn Data Engineering, but they are highly recommended for you to deepen your knowledge.

Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL

Data Engineering with dbt: A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL

dbt Cloud helps professional analytics engineers automate the application of powerful and proven patterns to transform data from ingestion to delivery, enabling real DataOps.
This book begins by introducing you to dbt and its role in the data stack, along with how it uses simple SQL to build …

Recommended by the experts and mentors at MentorCruise.

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

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 e…

Recommended by the experts and mentors at MentorCruise.

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientis…

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Specializations and Deeper Data Engineering Knowledge

You've got your basics in order – time to move on to some advanced and specialized concepts. Data Engineering is evolving every day, these books can help you master it.

Database and Expert Systems Applications

Database and Expert Systems Applications

The Database and Expert Systems Application -DEXA - conferences are mainly oriented to establish a state-of-the art forum on Database and Expert System applications. But Practice without Theory has no sense, as Leonardo said five centuries ago. In this Conference we try a comprornise between the…

Recommended by the experts and mentors at MentorCruise.

Advanced Topics in Database Research

Advanced Topics in Database Research

Advanced Topics in Database Research is a series of books on the fields of database, software engineering, and systems analysis and design. They feature the latest research ideas and topics on how to enhance current database systems, improve information storage, refine existing database models, …

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