In this contributed article, tech writer Linda Gimmeson discusses how big data technology isn’t just for large enterprises, but rather with a bit of ingenuity, there are feasible ways for small businesses to leverage big data as well.
BlueData, provider of a leading Big-Data-as-a-Service (BDaaS) software platform, announced the general availability of its BlueData EPIC software on Amazon Web Services (AWS). BlueData EPIC on AWS delivers ultimate flexibility and choice for Big Data environments, enterprise-class security and cost controls for multi-tenant deployments, as well as the ability to tap into both Amazon S3 and on-premises storage.
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.
Industry’s Most Comprehensive Big Data Maturity Survey Reveals Surprising State of Hadoop, Dramatic Rise of Big Data in the Cloud
AtScale, the company that provides enterprises with a fast and secure self-service analytics platform for Big Data, announced the results of the 2016 Big Data Maturity Survey. Based on 2,550+ responses from big data professionals at 1,400 companies across 77 countries, the report reveals new & unexpected insights about Cloud, Big Data, Business Intelligence, Hadoop and Spark.
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.
Striim Highlights Commitment to Big Data Integration and Support for Hybrid Cloud Infrastructures with New Release
Striim, Inc., announced that it has launched a new version of its end-to-end real-time data integration and streaming analytics platform. On the heels of Striim’s mega release of version 3.6, Striim further underscores its commitment to seamless integration with Big Data and Cloud environments with this release.
Couchbase, Inc., a leader in database solutions for the Digital Economy, announced a range of new capabilities including full text search and real-time analytics that will dramatically simplify the way developers and architects build Digital Economy applications. With a single platform delivering operational, search and real-time analytical functionality, digital businesses can now create a range of intelligent and data-intensive applications without the complexity of mapping and moving data between disparate systems or the difficulty of managing multiple technologies.
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.