Blog

At OpenCredo, we have been working with Cassandra for years and we have a good understanding of its pros and cons. In this blog post, we look at AWS Keyspaces - how it differs from open source Cassandra and what use cases it might be suitable for

In light of the recent demise of Basho, we put together a blog exploring Riak alternatives and discussing whether these are appropriate solutions or not.

How to test a Spark cluster integrated with Cassandra, including unit testing, integration testing, and acceptance testing.

In my recent post I explored some use-cases for Spark and Cassandra. This article describes how to deploy Spark together with an Apache Cassandra cluster

Learn from our experience in dealing with Spark, in our three part blog series and webinar that explores how to address common data processing challenges.

Distributed data technologies are great, but have many challenges. This is an introduction to using Cassandra and Spark together as a powerful data platform

One of the default Cassandra strategies to deal with more sophisticated queries is to create CQL tables that contain the data in a structure that matches the query itself (denormalization). Cassandra 3.0 introduces a new CQL feature, Materialized Views which captures this concept as a first-class construct.

One of the simplest and best-understood models of computation is the Finite State Machine (FSM). An FSM has fixed range of states it can be in, and is always in one of these states. When an input arrives, this triggers a transition in the FSM from its current state to the next state. There may be several possible transitions to several different states, and which transition is chosen depends on the input.

OpenCredo experts present the common design and implementation issues that they have come across in real world Apache Cassandra deployments.