Waterline Data, The Smart Data Catalog Company, continues to clear the hurdles impeding Hadoop adoption in the enterprise by announcing the immediate availability of Smart Data Catalog 3.0.
In this contributed article, Dan Turchin, BigPanda’s VP of Growth Strategy, provides some insights into Big Data’s growth around the transportation industry.
WANdisco (LSE: WAND), a leader in Active Transactional Data Replication™ enabling global enterprises to meet today’s data challenges of secure storage, scalability and availability both on-premise and in the cloud, announced the release of WANdisco Fusion™ 2.9.
Redis Labs, home of Redis, and Intel announced that they have collaboratively benchmarked a throughput of 3 million database operations/second at under 1 millisecond of latency, while generating over 1GB NVMe throughput, on a single server with Redis on Flash and Intel NVMe-based SSDs.
In the video presentation below, Jenn Webb, Managing Editor at Radar, interviews John Carnahan who serves as Executive Vice President of Data Science at Ticketmaster.
Paxata, the enterprise-grade self-service data preparation platform provider, announced native push/pull seamless connectivity options to and from Amazon Web Services (AWS) offerings including Amazon Redshift data warehouse and Amazon Simple Storage Service (Amazon S3).
Percona, the company that delivers enterprise-class MySQL® and MongoDB® solutions and services, announced the availability of Percona Memory Engine for MongoDB®, a 100 percent in-memory storage engine for Percona Server for MongoDB.
Informatica, the provider of data management solutions, announced five new Informatica Cloud offerings at an affordable hourly price, as well as by annual subscription, available in Amazon Web Services Marketplace (AWS Marketplace).
Kimera Systems announced the birth of Nigel™ – the world’s first commercial human-like intelligence technology for connected devices. Nigel was delivered at a birthday party held last Friday in downtown Portland by its creator, Kimera co-founder and CEO Mounir Shita.
In this special guest feature, Rob Farber from TechEnablement writes that the Intel Scalable Systems Framework is pushing the boundaries of Machine Learning performance. “machine learning and other data-intensive HPC workloads cannot scale unless the storage filesystem can scale to meet the increased demands for data.”