This is the fifth entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, as well realizing a scalable data lake. The fifth entry in the series is focused on the HPE Workload and Density Optimized System.
Cloudera to Accelerate Data Science and Machine Learning for the Enterprise with New Data Science Workbench
Cloudera, the provider of a leading platform for machine learning and advanced analytics built on the latest open source technologies, today unveiled Cloudera Data Science Workbench, a new self-service tool for data science on Cloudera Enterprise which is currently in beta.
Arcadia Data, the visual analytics software that solves the most complex big data problems, announced new native integration features for Arcadia Enterprise and Cloudera Enterprise to deliver a comprehensive real-time, Hadoop-native analytics platform. Directly integrated with Cloudera Manager and with new support for Apache Kudu and Cloudera Search, users will now have access to data-native architecture that enables both real-time dashboards and rich data visualization for large-scale, big data uses cases such as IoT data, spanning cloud, on-premises, and hybrid deployments.
Research Firm Advises Analytics Stakeholders and Security Professionals to Build Plans for Securing Hadoop-based Assets
Dataguise, a technology leader in secure business execution, announced inclusion in a report by Gartner titled, “Rethink and Extend Data Security Policies to Include Hadoop.” The report provides best practices for addressing data security concerns related to Apache Hadoop deployments and highlights several leading vendors in the category to support these endeavors.
Splice Machine’s New OLAP Engine Adds Columnar Storage and In-Memory Caching to its Hybrid Relational Data Platform
Splice Machine, provider of the open-source SQL RDBMS powered by Apache Hadoop® and Apache Spark™, announced the release of version 2.5 of its industry-leading data platform for intelligent applications. The new version strengthens its ability to concurrently run enterprise-scale transactional and analytical workloads, frequently referred to as HTAP (Hybrid Transactional and Analytical Processing).
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.
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.
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.
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.