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In-Memory OLTP

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May 11, 2024 2 minute read

In-Memory OLTP (Online Transaction Processing) is a database management technique that stores data in the computer's main memory (RAM) instead of on disk. This can significantly improve performance for applications that require fast access to frequently used data, such as e-commerce websites or financial trading systems.

Why Learn In-Memory OLTP?

There are several reasons why someone might want to learn about In-Memory OLTP:

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Reading list

We've selected seven 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 In-Memory OLTP.
Provides a deep dive into the architectural considerations for In-Memory OLTP systems. It is written by two of the leading researchers in the field, and it must-read for anyone who wants to design and implement high-performance In-Memory OLTP systems.
Provides a practical guide to optimizing MySQL for In-Memory OLTP workloads. It covers a wide range of topics, including indexing, query optimization, and replication.
Provides a comprehensive overview of Redis, a popular open-source In-Memory OLTP database. It is written by a Redis expert, and it valuable resource for anyone who wants to learn more about this database.
Provides a comprehensive overview of HBase, a popular open-source In-Memory OLTP database. It is written by two HBase experts, and it valuable resource for anyone who wants to learn more about this database.
Provides a comprehensive overview of Cassandra, a popular open-source In-Memory OLTP database. It is written by two Cassandra experts, and it valuable resource for anyone who wants to learn more about this database.
Provides a comprehensive overview of Oracle Database 12c, including its In-Memory OLTP capabilities. It is written by two Oracle experts, and it valuable resource for anyone who wants to learn more about this commercial database.
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