MongoDB today announced the general availability of major enhancements to MongoDB Management Service (MMS), its popular cloud service for managing the world’s fastest growing database ecosystem. MMS dramatically simplifies operations for MongoDB deployments of any size, reducing operational overhead by 95 percent for many operations.
MapR Technologies, Inc., provider of a leading distribution for Apache™ Hadoop®, today announced an initiative to integrate Apache Drill, which provides instant, self-service data exploration across multiple data sources, with Apache Spark, the in-memory processing framework that provides speed, programming ease and real-time processing advantages.
This article is the fourth in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.
Interana announces a new, fast and scalable event-based analytics solution to answer critical business questions about how customers behave and products are used. Interana allows users to analyze and explore the key business metrics that matter most in a data-driven world – such as growth, retention, conversion and engagement – in seconds, rather than the hours or days it often takes with existing solutions.
Pioneering predictive analytics leader RapidMiner has announced the general availability of RapidMiner Cloud.
In this installment we’ll set the stage for in-memory computing technology in terms of its current state as well as its next stage of evolution. We’ll begin with a discussion of the capabilities of in-memory databases (IMDBs) and in-memory data grids (IMDGs), and show how they differ. We’ll finish up the section by demonstrating how neither one is sufficient for a company’s strategic move to IMC; instead, we will explain why a comprehensive in-memory data platform is needed.
Splunk Inc. (NASDAQ:SPLK), provider of a leading software platform for real-time Operational Intelligence, has announced Splunk® Enterprise 6.2, the latest version of the award-winning platform for machine data. Splunk Enterprise 6.2 delivers simplified analysis and powerful pattern detection that enables more users across IT and the business to discover relationships in their data and build advanced analytics.
The panel discussion video below comes from the Los Angeles Spark Users Group. The talk fosters a lively discussion on Spark’s initial goals, where it came from and what the future holds for Spark. Many leading Big Data vendors are responding by introducing Spark’s capabilities into their architectures. The panel discussion is between the top Hadoop distribution vendors – Cloudera, MapR, and Pivotal.