“Our thought process was that Big Data + a better Workflow = Big Workflow. We coined it as an industry term to denote a faster, more accurate and more cost-effective big data analysis process. It is not a product or trademarked name of Adaptive’s, and we hope it becomes a common term in the industry that is synonymous with a more efficient big data analysis process.”
I’ve been monitoring an interesting discussion on the Big Data and Analytics group over on LinkedIn – “Is there a difference between big data and small data?” It is an interesting question, one that I’ve heard before during my travels down in the trenches as I explore our industry.
“Tableau Desktop is based on breakthrough technology from Stanford University that lets you drag & drop to analyze data. You can connect to data in a few clicks, then visualize and create interactive dashboards with a few more. We’ve done years of research to build a system that supports people’s natural ability to think visually. Shift fluidly between views, following your natural train of thought. You’re not stuck in wizards or bogged down writing scripts. You just create beautiful, rich data visualizations.”
Jaspersoft, the Intelligence Inside applications and business processes, recently announced a partnership with MapR Technologies, Inc., a leader in Hadoop technology for Big Data deployments, whereby Jaspersoft’s business intelligence (BI) offering is now integrated with the MapR Distribution for Apache Hadoop.
Guavus, a leading provider of big data analytics solutions, recently unveiled CareReflex, an application to improve the ability to identify the root causes of complex customer issues.
“Our main differentiator from other machine-learning companies is that we’re focused not just on high-performance algorithms, but on delivering an end-to-end application for business users. While we continue to push boundaries of cutting-edge machine learning technology, we made an early decision not to get sucked into the “algorithms arms race.” We hold a fundamental belief that the best analytics technologies will fail unless they can be implemented in a timeframe relevant to the business and interpreted by the ultimate decision makers.”
Alteryx, Inc., a leader in data blending and advanced analytics, and DataSift, a leading enterprise social data platform, recently announced a global partnership to provide an intuitive way for the millions of analysts in departments such as marketing, merchandising and supply chain to blend social data with other data sources for advanced analytics that deliver deeper business insights.
“This industry has been racing for latency, and no one has really won except hardware vendors. It’s been three years of pain and probably more to come for many. Now, the industry needs technology to be safer, more reliable, and more focused on performance. Lucera is acutely focused on each of these, while finally adding democratization to the world of infrastructure. We allow firms to focus on what really matters – what adds value to their business – while we uncover their operational alpha and decrease latency across the board.”
Last night I attended the Los Angeles Hadoop users Group (LA-HUG) meeting hosted by Shopzilla. The topic for the evening was “An Overview of Hulu’s Data Platform” presented by Prasan Samtani and Tristan Reid of Hulu. From all indications, Hulu is a significant player in the Hadoop user community and this talk documented the team’s command of big data technology.