Tableau Software (NYSE: DATA) announced that Tableau Online, the company’s fastest growing product with over 5,000 customer accounts, is now available on the Amazon Web Services (AWS) cloud. Tableau Online is Tableau’s fully managed SaaS cloud analytics platform that delivers complete data analytics to everyone in the organization. It lets organizations of any size deploy enterprise class analytics at the speed of thought, on any device, with no infrastructure to manage.
News, reviews and feature articles on companies that are changing how organizations leverage massive volumes of data
- Adaptive Computing
- Bright Computing
Last week saw two compelling local big data events here in So Cal, both sponsored by MapR. I thought I’d provide a short recap of the events for those who were unable to attend. I was on a panel for the first event, “Digital Transformation in Big Data” and the discussion revolved around MapR’s unique vision for the “3 Keys to Digital Transformation.” For a detailed discussion, these points are well described in a recent blog post.
In this video from SC16, Intel demonstrates how Altera FPGAs can accelerate Machine Learning applications with greater power efficiency. “The demo was put together using OpenCL design tools and then compiled to FPGA. From an end-user perspective, they tied it together using Intel MKL-DNN with CAFFE on top of that. This week, Intel announced the DLIA Deep Learning Inference Accelerator that brings the whole solution together in a box.”
MapR Technologies, Inc., provider of the industry’s Converged Data Platform, announced the next major release of the MapR Ecosystem Pack program, a broad set of open source ecosystem projects that enable big data applications running on the MapR Converged Data Platform while ensuring inter-project compatibility. These latest enhancements also add flexible access and provide new capabilities for streaming applications.
In the talk below, Michael Armbrust, gives an overview of some of the exciting new API’s available in Spark 2.0, namely Datasets and Structured Streaming. Together, these APIs are bringing the power of Catalyst, Spark SQL’s query optimizer, to all users of Spark.
MapR, the company behind the Converged Data Platform, is hosting two very timely upcoming big data events in Southern California. If you find yourself in Los Angeles, specifically Newport Beach in Orange County, and/or Santa Monica, please consider registering now.
IBM (NYSE:IBM) announced IBM Watson Data Platform to help companies gain more valuable insights from data. The platform delivers the world’s fastest data ingestion engine and cognitive-powered decision-making to data professionals, allowing them to collaborate in the IBM Cloud, with the services they prefer. IBM is also making IBM Watson Machine Learning Service available – making machine learning simple with an intuitive, self-service interface.
In this special technology white paper, The GridGain In-Memory Data Grid, you’ll learn that with the cost of system memory dropping 30% every 12 months, in-memory computing has become the first choice for a variety of workloads across all industries. In-memory computing can provide a lower TCO for data processing systems while providing an unparalleled performance advantage.
In this video from the Intel HPC Developer Conference, Noah Rosenberg and Karl Stiefvater from Pikazo describe the company’s innovative Pikazo App for smartphones. “Pikazo was developed in 2015 using neural style transfer algorithms. It is a collaboration between human, machine, and our concept of art. It is a universal art machine that paints any image in the style of any other, producing sometimes-beautiful, sometimes-disturbing, always-surprising artworks. Pikazo allows novice artists to create impressive imagery via a technique known as neural style transfer.”
Databricks®, the company founded by the the team that created the popular Apache® Spark™ project, announced that in collaboration with industry partners, it has broken the world record in the CloudSort Benchmark, a third-party industry benchmarking competition for processing large datasets.