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Hortonworks Advances Cloud Strategy with Availability of Hortonworks Data Cloud for Amazon Web Services

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.

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.

MapR Event Recap: It’s All About Digital Transformation

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.

New Business Intelligence Performance Benchmark Reveals Strong Innovation Amongst Open-Source projects

AtScale, the company providing business users with speed, security and simplicity for BI on Hadoop, released the results of its reference performance study: The Business Intelligence Benchmark for SQL-on-Hadoop engines.

3 Reasons In-Cluster Analytics is a Big Deal

In this special technology white paper, 3 Reasons In-Cluster Analytics is a Big Deal, you’ll learn about how recent technology advances within the Apache Hadoop ecosystem have provided a big boost to Hadoop’s viability as an analytics environment—above and beyond just being a good place to store data.

Distributed System Architectures for Healthcare and Life Sciences

The insideBIGDATA Guide to Healthcare & Life Sciences is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. This segment focuses on the use of distributed system architectures – Hadoop and Spark.

Looker for Hadoop – Interactive Analytics, Visualizations and Data Modeling on large Hadoop Data Sets

In this special technology white paper, Looker for Hadoop – Interactive Analytics, Visualizations and Data Modeling on large Hadoop Data Sets, you’ll learn how the vision of Hadoop as more than a data store is finally a reality.

Cask Releases Preview of First Unified Integration Platform for Big Data

Cask, the company that makes building and running big data solutions easy, announced a public preview release of CDAP 4, the first unified integration platform for big data.

Independent Study Confirms RedPoint Global Delivers Optimum Precision for Big Data Management

RedPoint Global, a leading provider of data management and customer engagement technology, announced findings from a new benchmark study conducted by information management leader MCG Global Services, which revealed leading performance from RedPoint Global’s Data Management™ application.

Interactive Analytics, Visualization and Data Modeling on large Hadoop Data Sets

The vision of Hadoop as more than a data store is finally a reality. Thanks to advances from SQL query engines like Spark SQL, Impala, Presto and Hive on Tez, big data technologies are now accessible for business analytics. With Looker, analysts can build a data model across all their data in Hadoop – easily transforming raw data into meaningful metrics and finally allowing business teams to access and explore years of stored data in Hadoop data sets.

Overcome analytic challenges on Hadoop data:

Get more from your Hadoop cluster by analyzing the data where it sits
No need to move or transform the data prior to performing analysis
Interact with your data through a familiar language – SQL on Hadoop
Create a single source of truth for your enterprise that’s governed by a data model
To learn more download this white paper.