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Find a path to becoming a Elastic MapReduce (EMR). Learn more at:
OpenCourser.com/topic/fzclar/elastic
Reading list
We've selected nine 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
Elastic MapReduce (EMR).
Hadoop in Practice practical guide for developers and system administrators who want to use Hadoop to process and analyze large datasets. The book covers all aspects of Hadoop, from setup and configuration to job submission and monitoring.
MapReduce Design Patterns practical guide for developers who want to use Hadoop to process and analyze large datasets. The book covers common MapReduce patterns, as well as advanced topics such as data warehousing and machine learning.
Hadoop Operations practical guide for system administrators who want to deploy and manage Hadoop clusters. The book covers all aspects of Hadoop operations, from setup and configuration to security and monitoring.
Hadoop Security technical overview of Hadoop security. The book covers all aspects of Hadoop security, from authentication and authorization to encryption and auditing.
Hadoop Administration practical guide for system administrators who want to deploy and manage Hadoop clusters. The book covers all aspects of Hadoop administration, from setup and configuration to security and monitoring.
Hadoop for Dummies beginner's guide to Hadoop, the open-source framework for distributed computing. The book covers all aspects of Hadoop, from setup and configuration to job submission and monitoring.
Hadoop: The Complete Reference comprehensive reference for Hadoop, the open-source framework for distributed computing. The book covers all aspects of Hadoop, from architecture and programming models to security and administration.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/fzclar/elastic
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