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Distributed In Memory Processing And Streaming With Hazelcast
Distributed In Memory Processing And Streaming With Hazelcast
ratings:
Length:
44 minutes
Released:
Sep 15, 2020
Format:
Podcast episode
Description
In memory computing provides significant performance benefits, but brings along challenges for managing failures and scaling up. Hazelcast is a platform for managing stateful in-memory storage and computation across a distributed cluster of commodity hardware. On top of this foundation, the Hazelcast team has also built a streaming platform for reliable high throughput data transmission. In this episode Dale Kim shares how Hazelcast is implemented, the use cases that it enables, and how it complements on-disk data management systems.
Released:
Sep 15, 2020
Format:
Podcast episode
Titles in the series (100)
Introducing The Show - Episode 0 by Data Engineering Podcast