In this special guest feature, Ashley Stirrup of Talend provides 7 key reasons why organizations need to prioritize unifying Application and Data integration. Ashley Stirrup joined Talend in 2014 as Chief Marketing Officer.
With the Internet of Things driving the availability of – and need for – real time data, an increasing number of organizations are looking to capture and process fast data to create interactive and engaging applications. To respond to this growing demand, VoltDB today announced Version 5.0 of its in-memory, scale-out operational database.
The next installment of insideBIGDATA’s Data Science 101 series comes from our friends over at LinkedIn.
Lavastorm Analytics, a leading agile data management and analytics software company, and TIBCO Software Inc., a global leader in infrastructure and business intelligence software, announced extended predictive analytics functionality, powered by the TIBCO® Enterprise Runtime for R (TERR) engine embedded within Lavastorm Analytics’ market-leading Data Management and Analytics platform.
More than 95 percent of companies have a formal data and analytics strategy in place with many favoring product development, IT and marketing over corporate real estate—until now. A new, independent study conducted by Forrester Consulting, commissioned by JLL, says that 75 percent of firms see corporate real estate information as a core part of a wider corporate data and analytics strategy.
The Random forests machine learning algorithm is a popular ensemble method used by many data scientists to achieve good predictive performance in the classification regime. Fully understanding the nuances of this statistical learning technique is paramount to getting the most out of this algorithm – unfortunately, this means math. The presentation below is from machine learning course CPSC 540 at The University of British Columbia,