PostgreSQL with In-Memory Computing: Faster Transactions and Analytics
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Learn how to boost performance 10x and scale to over million transactions per second with in-memory computing.
It will be shown how to add speed and scale to your PostgresQL-based applications, APIs and analytics for different use cases. We will discuss when each option makes sense, as well as how to evolve your architecture over time to add the speed, scale, agility and new technologies needed for digital transformation and other initiatives.
By the end of this session, you will understand: - How to adopt in-memory computing technologies such as Apache Ignite and GridGain to add speed, scale and agility.
How to set up PostgreSQL with Apache Ignite including connecting, creating the in-memory schema, importing the data, and handling SQL requests directly without changing your application
Handling PL/SQL and other PostgreSQL features with advanced in-memory computing alternatives.
- 2019 September 19 12:00
- 50 min
- Winchester (1)
- Silicon Valley 2019