Simplifying The Lambda Architecture

Combining Kafka + Spark Streaming + a Scale-out RDBMS

Many companies are struggling to support multi-workload environments where both batch and real-time streaming data pipelines are required to fuel their applications.

A common way to address this is the Lambda Architecture, a scalable and fault-tolerant data processing architecture which takes advantage of both batch and real-time stream processing methods in a single framework.

Find out how to simplify the implementation of the Lambda Architecture and address the concerns around operational complexity, skills, tools and the best practices of integrating applications into the framework.

In this webinar, Chiny Driscoll, CEO of Metistream, and Krishnan Parasuraman, Vice President of Splice Machine, describe options for implementing the Lambda Architecture and use cases where these can be implemented effectively. They will discuss how leveraging key solutions such as Kafka + Spark Streaming + a Scale-out RDBMS can optimally support the capabilities of the Lambda Architecture.


View the Webinar