We are pleased to announce MapD Immerse Enterprise as part of the MapD 3.4 release. MapD Immerse Enterprise is generally available as part of MapD Enterprise edition and includes three important features: multisource dashboards, multilayer geo charts, and dashboard auto-refresh.
H2O World 2017 was held in the beginning of December at the Computer History Museum in Mountain View, CA. The sold-out conference featured more than fifty speakers from across industries, who presented on a wide variety of topics. Data scientists, data engineers, and business analysts all gathered to learn how deep learning, data science, and artificial intelligence are transforming businesses today
At MapD, we've long been big fans of the PyData stack, and are constantly working on ways for our open source GPU-accelerated analytic SQL engine to play nicely with the terrific tools in the most popular stack that supports open data science.
In May 2017, MapD along with H2O.ai and Continuum Analytics announced the GPU Open Analytics Initiative (GOAI), with the goal of accelerating end-to-end analytics and machine learning on GPUs. Adoption of GPUs for general purpose computing is a computing revolution driven by NVIDIA’s hardware innovations.
I recently came across Big Data Ball, an NBA stats distributor. They offered a dataset called: “NBA Play-By-Play Stats – 2004 to 2017”. It includes all events that occur in a game including: active lineups, shot distances, shot locations in X, Y coordinates, assists, time remaining, and tons of other interesting data points. Game on!
Today we are pleased to announce the release of 3.2.2 version of MapD. This release brings some key capabilities and performance improvements to both our interactive visual analytics client, MapD Immerse, and our GPU-accelerated SQL engine, MapD Core.
