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.
MemSQL, provider of the database platform for real-time analytics, revealed that Manage, a leader in programmatic mobile marketing and advertising, has deployed MemSQL to power real-time analytics. Manage helps enterprises like Uber, Wish, and Amazon manage global mobile marketing campaigns by buying real-time programmatic inventory to drive the most engaging users to mobile applications.
I recently caught up with Gwen Shapira, System Architect at Confluent, to talk about the market dynamics of new “fast data” technologies and what is driving its rapid adoption across large companies.
Midwest Anesthesia Consultants is an association of over 100 healthcare providers who rely on the organization’s commitment to quality and comprehensive and compassionate care in the areas of anesthesia, critical care, and pain management. The organization’s extensive team of board certified anesthesiologists is fully integrated into the medical staff at every hospital campus location as members of care teams and governing boards.
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 this special guest feature, Alex Bordei, head of product management at Bigstep, offers 5 examples of how Apache Spark has maximized its user experience – its feel.
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.
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.