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The Top 10 Big Data Analytics Technologies
March 18, 2016 News

Gil Press recently wrote in Forbes, “As the big data analytics market rapidly expands to include mainstream customers, which technologies are most in demand and promise the most growth potential? The answers can be found in TechRadar: Big Data, Q1 2016, a new Forrester Research report evaluating the maturity and trajectory of 22 technologies across the entire data life cycle. The winners all contribute to real-time, predictive, and integrated insights, what big data customers want now. Here is my take on the 10 hottest big data technologies based on Forrester’s analysis.”

Press continues, “(1) Predictive analytics: software and/or hardware solutions that allow firms to discover, evaluate, optimize, and deploy predictive models by analyzing big data sources to improve business performance or mitigate risk. (2) NoSQL databases: key-value, document, and graph databases. (3) Search and knowledge discovery: tools and technologies to support self-service extraction of information and new insights from large repositories of unstructured and structured data that resides in multiple sources such as file systems, databases, streams, APIs, and other platforms and applications. (4) Stream analytics: software that can filter, aggregate, enrich, and analyze a high throughput of data from multiple disparate live data sources and in any data format.”

 

This article was originally published on dataversity.net and can be viewed in full here

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