What is "Big Data?"
Big data is a popular term for massive data sets that contain potentially valuable patterns, trends, and associations. These can be high volume, high velocity, and/or high variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization. Such data sets are typically so large or complex that traditional data processing applications are too inadequate to deal with them. The size of these data sets alone can be beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time.
Mining big data effectively – locating or teasing out the hidden patterns that can be lurking within - requires a huge amount of processing power, which Infrastructure as a Service (IaaS) can economically provide. The challenges requiring such processing power include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy. Effective big data analysis uses inductive statistics and concepts from nonlinear system identification to infer laws (regressions, nonlinear relationships, and causal effects) from large sets of data with low information density to reveal relationships and dependencies, or to perform predictions of outcomes and behaviors.
Let us help you decide on whether to go on premise, in the cloud, or a mixture of both and get help with implementation and maintenance to give your company a head start.