David Callaghan – Senior Solutions Architect

Cryptocurrencies such as Bitcoin and smart contract platforms like Ethereum are recent examples of the evolution of consensus algorithms blockchain represents. Consensus, getting distributed processes to agree on a single value, is a fundamental problem in computer science. Distributed processing is difficult. In fact, there are logical proofs that show pretty conclusively that there won’t […]

Cryptocurrencies such as Bitcoin and smart contract platforms like Ethereum are recent examples of the evolution of consensus algorithms blockchain represents. Consensus, getting distributed processes to agree on a single value, is a fundamental problem in computer science. Distributed processing is difficult. In fact, there are logical proofs that show pretty conclusively that there won’t […]

I see companies start down their Big Data/NoSQL journey with a Proof of Concept mindset and they almost always end up funding a science project by confusing early wins on established products with progress. Cassandra is ten years old and DataStax has 500 customers in 50 countries. This stuff works; what you need is a […]

I implement distributed persistence solutions for enterprises. For use cases involving highly-available, low latency processing, I typically use DataStax Enterprise. Apache Cassandra provides great persistence characteristics for a real-time, distributed transactional store. For real-time stream processing, I’m a Spark fan. Throw in Solr and graph, add in operational support, and I have all of my […]

I implement distributed persistence solutions for enterprises. For use cases involving highly-available, low latency processing, I typically use DataStax Enterprise. Apache Cassandra provides great persistence characteristics for a real-time, distributed transactional store. For real-time stream processing, I’m a Spark fan. Throw in Solr and graph, add in operational support, and I have all of my […]