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A Look at The Implications of Real Time Data
When building systems to handle Real-Time or Streaming Data, we need to look at some architectural elements differently. We cannot rely on the patterns of the past, but we can learn from the mistakes and successes of others! In this episode we explore some of the key considerations when designing software to handle real-time data.
Shownotes:
CAP Theorem: https://en.wikipedia.org/wiki/CAP_theorem
Spring Cloud Data Flow: http://cloud.spring.io/spring-cloud-dataflow/
Redis: http://redis.io
GemFire: http://gemfire.docs.pivotal.io/index.html