Hortonworks, Inc. ® (NASDAQ: HDP), a leading innovator of open and connected data platforms, announced the availability of Hortonworks Data Cloud on the Amazon Web Services (AWS) Cloud. Hortonworks Data Cloud for AWS enables users to harness the agility and elasticity of Apache® Hadoop™ and Apache® Spark™ in the cloud for powering new workloads and analytic applications. The new cloud service, powered by open source, delivers the most popular enterprise-grade capabilities of Hortonworks Data Platform (HDP®) with both hourly and annual billing options available on the AWS Marketplace.
Hortonworks Advances Cloud Strategy with Availability of Hortonworks Data Cloud for Amazon Web Services
AtScale, the company to provide enterprises with a fast and secure self-service BI platform for Big Data, announced a significant expansion of its services, from BI on Hadoop to BI on Big Data. With this announcement, the company introduces a Modern BI Platform that enables businesses to work seamlessly across all of Big Data, on premise and in the Cloud. In addition to Hadoop, the AtScale platform now supports Teradata data warehouses and Google Dataproc and BigQuery. This expands on the company’s existing support for Microsoft Azure and HDInsight.
ODPi Publishes Operations Specification Providing Developers Consistency Across Application Management Tools
ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, announced the availability of ODPi 2.0, which includes the first release of the ODPi Operations Specification and the Runtime Specification 2.0, to standardize the development model for big data solution and application providers and help enterprises improve installation and management of Hadoop-based applications.
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.