May 1, 2024
4 minute read
Why Learn Google Cloud Bigtable?
wo8xfi|
Find a path to becoming a Google Cloud Bigtable. Learn more at:
OpenCourser.com/topic/wo8xfi/google
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Google Cloud Bigtable.
A comprehensive overview of designing data-intensive distributed systems and the patterns that allow them to scale in a performant manner, essential reading for anyone aiming to build scalable real-world data-driven applications.
This technical guide offers an overview of NoSQL databases, a genre of database systems to which Bigtable belongs, and is perfect for understanding the key principles and concepts common to such databases.
Offers an introduction to analytics using Bigtable, and provides a thorough overview of the technical and architectural aspects of Bigtable along with an introduction to Apache Beam for data processing.
Covers the broader topic of data management in the cloud, with a significant portion dedicated to Bigtable, and provides practical guidance for designing and implementing data platforms using Google Cloud services.
While not directly covering Google Cloud Bigtable, this book provides a comprehensive overview of Apache Hadoop, a popular open-source framework for distributed data processing, and great resource for understanding the fundamentals of big data analytics.
Similar to the previous book, this book offers a comprehensive overview of Apache Spark, a popular open-source framework for large-scale data processing, and is helpful for understanding the principles and techniques of big data analytics in general.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/wo8xfi/google
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