“Kiuwan does automatic code review based on static analysis in the cloud. It is SaaS model, as opposed to other software quality solutions based in code analysis that are on-premise and very expensive to implement, Kiuwan is an affordable solution in the cloud. We are the Salesforce.com of software quality.”
MapR Technologies, Inc., the leader in Apache™ Hadoop® technology for Big Data deployments, recently announced the early access release of the new HP Vertica Analytics Platform on MapR. This high-performance, interactive SQL-on-Hadoop solution tightly integrates HP Vertica’s high-performance analytic platform directly on MapR’s enterprise-grade distribution for Hadoop.
Looker, a business analytics software company, today announced its enhanced Looker Datafold Engine, with support for persistent derived tables to deliver faster, more meaningful business insights. Persistent derived tables rely on Looker’s in-database architecture to empower data analysts and reduce their workloads.
DataStax today announced DataStax Enterprise 4.0, the latest version of its always-on database platform based on Apache Cassandra. DataStax Enterprise 4.0 introduces a powerful new in-memory option and enterprise search enhancements for significantly faster performance in use cases where companies must process data at the speed of business.
The analytics software category is 30 years old and about $15 billion in size. So why is it that information technology research and advisory firm Gartner has not published a standalone Magic Quadrant on the sector until this year? The answer: Gartner has meshed business intelligence with analytics for the past decade, and viewed them […]
We sat down with Cristian Borcea, PhD from the New Jersey Institute of Technology to discuss the IoT and Big Data applications. “New machine learning techniques could help us extract knowledge from these data – this happens especially for knowledge that we don’t expect and we don’t even know exists – we cannot search for something that we don’t know exists.”
OneFold believes that the expertise of a data scientist should be used for solving the most complex of analysis and not for the more day-to-day aspects of data extraction. The company uses a plug and play DHQL platform for automated data extraction, transformation, querying and reporting. Navneet Aron and Uday Sandhar, co-founders of OneFold, teamed up to answer our questions about this intriguing technology.