Top 10 Categories for Big Data Sources and Mining Technologies

Good information, and I think helpful to the small business venturing into Big Data — sources and how to make use of data gathered.  Not all available is useable for all companies.   Information technology and data management.  Good read

Excerpt: Most discussions on organizing Big Data center on repository frameworks – specifically Hadoop clusters and MapReduce frameworks. This technology-focused view often overlooks the most important question, “What are you planning to do with the data you’re collecting?”

Since every answer will be different, this means there’s no one-size-fits-all solution. Success lies in recognizing the different types of Big Data sources, using the proper mining technologies to find the treasure within each type, and then integrating and presenting those new insights appropriately according to your unique goals, to enable your organization to make more effective steering decisions.

Read full article via Top 10 categories for Big Data sources and mining technologies | ZDNet.  via Jeff Morris


1 Comment

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One response to “Top 10 Categories for Big Data Sources and Mining Technologies

  1. The process of data mining is quite involving. This is so because of the technology used, complexity of the data and the cost. And Advanced Knowledge of Steps of Data Mining and many more good ideas So very helpful to you..
    Thanks a lot…