Big Data

Enterprise Analytics Enterprise analytics should deliver unambiguous models, avoid duplicated effort, provide ample mechanisms for monitoring model performance and resulting business performance, promote transparency, and support the discovery of opportunities and risks buried in data. We can state fairly categorically that this will not happen unless the analytical environment is integrated.…

Syncsort, a leader in Big Data software, announced it will work with Dell to help businesses improve operational efficiency, lower costs and take advantage of advanced analytics by shifting expensive workloads and associated data from overloaded enterprise data warehouses (EDW) to Hadoop. The Dell | Syncsort reference architecture will bring together…

Big data analytics is concerned with the creation of value from the wide variety and high volume of data associated with big data, and often at a speed that traditional data management infrastructures cannot handle. Until value is extracted from big data it is a pure infrastructure cost. New types…

Research and Markets has announced the addition of SNS Research’s new report “The Big Data Market: 2015 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals and Forecasts” to their offering. This report indicates that global spending on Big Data technology is expected to reach nearly $40 Billion by the end of…

Click on image above to download full 10 page report. Excerpt Big data is driven by the rapidly falling cost of acquiring, managing and processing ever increasing amounts of data. Clearly we shouldn’t be accumulating more data simply because it is possible to do so, and the whole big data…

For people with short attention spans – Big data is real, but short term it will cause more problems than it solves. The money people are investing in everything with the label big data attached to it and will create an investment bubble. Just as with the dot com boom,…

Actian knows a thing or two about big data, and for over thirty years has provided database management systems that consistently outperform most of the competitors. And so when big data became fashionable Actian already had a head start, and has become the bedrock of big data analytics in many…

Machine learning can be viewed as a sophisticated form of search – searching through billions of combinations of variables, variable values, algorithm parameters and data selections to find useful patterns. Now many of the patterns a machine learning algorithm will identify are simply ‘accidents’ of the data, with no counterpart…

Big analytics is the design, development, monitoring, management and modification of analytical models, where the volume of models, their variety, and the speed with which they need to be deployed, cannot be accommodated by traditional analytical methods. To be successful, big analytics needs to take place within the context of…