Splice Machine can already boast of having the only real-time SQL-on-Hadoop database for Big Data and now they have additional funding to further expand the company’s offerings.
Leading researchers in data science and genomics are recommending strategies to help genomic scientists better manage, share, analyze and archive massive research and clinical data sets in an effort to ensure that the big data explosion results in better health outcomes and faster research discoveries.
“SAS In-Memory Statistics for Hadoop software enables multiple users to concurrently manage and prepare data stored in Hadoop, explore and visualize this data, develop accurate statistical and machine learning models quickly, as well as access, deploy and execute these models in their Hadoop ecosystem.”
The video below comes to us from the Strata Conference 2014: How Companies are Using Spark, and Where the Edge in Big Data Will Be. While the first big data systems made a new class of applications possible, organizations must now compete on the speed and sophistication with which they can draw value from data. […]
Last week saw evidence for the big data industry steamroller effect as the Strata Conference 2014 in Santa Clara came and went. With thousands of attendees, an abundance of informative presentations, and a very healthy exhibitor ecosystem, the show defined the current state-of-the-art for all that is big data. If you missed the big event, O’Reilly Media has graciously made available the slides and videos for some of the presentations.
H2O, the open source in-memory machine learning and predictive analytics company for big data, announced a partnership with Cloudera, a leader in enterprise data management powered by Apache™ Hadoop.
Guavus, the provider of big data analytics solutions, today announced a platform update that extends the power of real-time analytics applications throughout a virtual infrastructure. The Guavus Reflex™ Platform is an operational intelligence technology that can be deployed in virtualized service infrastructures to provide Communication Service Providers (CSPs) with critical customer information in real-time.
In this slidecast, Dev Patel and Poulomi Damany from BitYota describe the company’s Data Warehouse Service. “We are a Data Warehouse Service (DWS) available on major cloud providers like Rackspace and Amazon. We are designed from the ground up for high performance analytics on JSON data from fast-changing applications including web & mobile analytics and NoSQL stores like MongoDB. We don’t impact your operational store or app and best of all, as a fully managed service, we take the headache out of having to set up and manage another data platform.”