We’re happy to announce the public availability of MapD version 3.5. While the primary work in this release focused on stability and bug fixes, we also have some key new features in both MapD Core and MapD Immerse that we are excited to make available to our users.
In just a few weeks, over 3,000 people will gather for the Gartner Data & Analytics Summit 2018 in Grapevine, Texas. Schedule a Meeting With Us!
Every day, people tell us that they love MapD. And we love all of those people. We’re proud to consider all of them part of our community.
Today, we are excited to launch our new positioning for MapD - the Extreme Analytics Platform™, along with a brand new website. This has been a fun, challenging and detailed project.
I asked the audience a pressing question at the Quandl Alternative Data Conference last week: "How many of you know you can do more with GPUs than just play Doom or Quake?" The crowd laughed as they raised their hands. The word is getting out. GPUs aren't just for video games anymore. They've already revolutionized AI. Now they're transforming analytics.
On behalf of all of us here at MapD, I invite you to help us help you, by completing our first survey on the needs of community members.
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.
