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You're reading from  Cracking the Data Engineering Interview

Product typeBook
Published inNov 2023
PublisherPackt
ISBN-139781837630776
Edition1st Edition
Concepts
Data Engineering
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Authors (2):
Kedeisha Bryan
Kedeisha Bryan
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Kedeisha Bryan

Kedeisha Bryan is a data professional with experience in data analytics, science, and engineering. She has prior experience combining both Six Sigma and analytics to provide data solutions that have impacted policy changes and leadership decisions. She is fluent in tools such as SQL, Python, and Tableau. She is the founder and leader at the Data in Motion Academy, providing personalized skill development, resources, and training at scale to aspiring data professionals across the globe. Her other works include another Packt book in the works and an SQL course for LinkedIn Learning.
Read more about Kedeisha Bryan

Taamir Ransome
Taamir Ransome
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Taamir Ransome

Taamir Ransome is a Data Scientist and Software Engineer. He has experience in building machine learning and artificial intelligence solutions for the US Army. He is also the founder of the Vet Dev Institute, where he currently provides cloud-based data solutions for clients. He holds a master's degree in Analytics from Western Governors University.
Read more about Taamir Ransome

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Technical interview questions

Now that we have explored essential concepts of data warehouses and data lakes, it’s time to put your knowledge to the test with technical interview questions. This section will cover a range of interview questions that assess your understanding of data warehouse and data lake principles. As we dive into these questions, prepare to showcase your expertise and problem-solving skills:

  • Question 1: What is the primary purpose of a data warehouse?

    Answer: The primary purpose of a data warehouse is to store, organize, and consolidate large volumes of structured and historical data to support BI and data analytics.

  • Question 2: How does a data lake differ from a data warehouse?

    Answer: Unlike a data warehouse, a data lake stores data in its raw format without the need for predefined schemas. It accommodates various data types and allows more flexible data exploration and analysis.

  • Question 3: What is the role of ETL processes in a data warehouse...
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Cracking the Data Engineering Interview
Published in: Nov 2023Publisher: PacktISBN-13: 9781837630776
© 2023 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Kedeisha Bryan

Kedeisha Bryan is a data professional with experience in data analytics, science, and engineering. She has prior experience combining both Six Sigma and analytics to provide data solutions that have impacted policy changes and leadership decisions. She is fluent in tools such as SQL, Python, and Tableau. She is the founder and leader at the Data in Motion Academy, providing personalized skill development, resources, and training at scale to aspiring data professionals across the globe. Her other works include another Packt book in the works and an SQL course for LinkedIn Learning.
Read more about Kedeisha Bryan

author image
Taamir Ransome

Taamir Ransome is a Data Scientist and Software Engineer. He has experience in building machine learning and artificial intelligence solutions for the US Army. He is also the founder of the Vet Dev Institute, where he currently provides cloud-based data solutions for clients. He holds a master's degree in Analytics from Western Governors University.
Read more about Taamir Ransome

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