June 2, 2019 InfluxDB cluster: Setup & Installation In any good IT platform, main features must be prepared in front, by-design. Scalability and high availability are two must-have capabilities in any big… Share this:TweetWhatsAppPrintEmail
June 1, 2019 Battle of ML/DL framework on stand-alone vs. distributed platform Will steep improvement of algorithm + decrease on hardware cost (CPU, memory, disk) drag the distributed approach irrelevant? IMHO, at this time, the winner… Share this:TweetWhatsAppPrintEmail
June 1, 2019 Flexibility vs. Speed Data science tools such as Rapidminer, Dataiku, and KNIME offer so much flexibility and provide easy-to-understand building blocks that abstract data processing functions. It… Share this:TweetWhatsAppPrintEmail
June 1, 2019 CPU vs. GPU Inspired by the benchmark from Matt Dowle (https://h2oai.github.io/db-benchmark/), I compared his benchmark with GPU (Detail: https://lnkd.in/e7iHg7N). For processing big data, GPU K20 2 GB… Share this:TweetWhatsAppPrintEmail
June 1, 2019 GPU Database I think one of the promising technology in the next couple of years is the use of GPU for accelerating any kinds of job…. Share this:TweetWhatsAppPrintEmail
June 1, 2019 Syncsort DMX-h & IBM SPSS Modeler Two other popular data processing platform in the IT world are explored, i.e., DMX-h and SPSS Modeler. 1) DMX-h I was an extensive user… Share this:TweetWhatsAppPrintEmail