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 […]
Blogs from this Author
Consensus Algorithms in Blockchain and Beyond – 3 of 5
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 […]
Consensus Algorithms in Blockchain and Beyond – 2 of 5
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 […]
Consensus Algorithms in Blockchain and Beyond – 1 of 5
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 […]
DataStax Advanced Security : Eat your vegetables first
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 […]
DataStax Advanced Turbo Under the Covers – Part 2
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 […]
DataStax Advanced Turbo Under the Covers – Part 1
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 […]