Apache Cassandra can serve as both the real-time data store for online transactional applications, as well as the read-intensive database for data warehousing operations. In order to combine these two use cases into a single database, Apache Cassandra required lots of innovation.
In today’s episode of Software Engineering Daily, we discuss the internals of Cassandra. Tim Berglund takes us through how Cassandra performs reads and writes, how Cassandra offers tunable consistency, and what inspirations Cassandra took from the Amazon Dynamo paper as well as the Google BigTable paper. Tim will also be presenting at Strata + Hadoop World in San Jose. We’re partnering with O’Reilly to support this conference – if you want to go to Strata, you can save 20% off a ticket with our code PCSED.
