The DataStax Evangelist team talks about the big tech trends of 2017 for large scale distributed systems including containers, orchestration, and graph databases.

DuyHai Doan and Patrick McFadin explain the primary two ways of distributing data used in computer science: hash-based partitioning and range-based partitioning, and the implications of each of these on operations (hint: rebalancing!).

DuyHai Doan and Patrick McFadin explain the primary two ways of distributing data used in computer science: hash-based partitioning and range-based partitioning, and the implications of each of these on operations (hint: rebalancing!).

Patrick McFadin talks with David Gilardi about the new recommendation engine recently added to the KillrVideo reference application using DSE Graph and Java DSL’s (Domain Specific Language).

Patrick McFadin talks with David Gilardi about the new recommendation engine recently added to the KillrVideo reference application using DSE Graph and Java DSL’s (Domain Specific Language).

Luke Tillman and DuyHai Doan talk about why pre-aggregation is difficult on an eventually consistent database like Apache Cassandra, and debate whether the storage engine in Cassandra should be made pluggable.

Luke Tillman and DuyHai Doan talk about why pre-aggregation is difficult on an eventually consistent database like Apache Cassandra, and debate whether the storage engine in Cassandra should be made pluggable.

David Gilardi talks with Kiyu Gabriel and Darla Baker about the DataStax Managed Cloud and gets some details on the advantages of using a managed service for your distributed database.

David Gilardi talks with Kiyu Gabriel and Darla Baker about the DataStax Managed Cloud and gets some details on the advantages of using a managed service for your distributed database.

Kat Erickson announces the availability of official Docker images of DataStax Enterprise and why you should use them.