“We are continuing to align GridBank with the growing demands of the information economy to deliver a future proof data centric solution for organizations. “
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.”
“A Big Workflow approach to big data not only delivers business intelligence more rapidly, accurately and cost effectively, but also provides a distinct competitive advantage. We are confident that Big Workflow will enable enterprises across all industries to leverage big data that inspires game-changing, data-driven decisions.”
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.
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.”
We caught up with Mike Boros, Hadoop Product Manager at Cray, to learn about the company’s Big Data solutions. “I think you’ll see Cray continue to focus on Big & Fast, vs. just Big Data. Technologies like Hadoop make hosting large data sets easy. The challenge of getting value from that data set, after it’s large, is what we’re interested in.”