10 Important Features for Big Data Analytics Tools


Traditional BI tools can’t deal with big, fast data.

Most business intelligence tools were not designed to handle petabytes and terabytes of big data, nor are they equipped to handle real-time data.

And because businesses can’t analyze or visualize such data — such as from the internet, social media sites, server farms, mobile devices, and the Internet of Things — that means lost revenue.

New tools and approaches in fact are required to handle batch and streaming data; self-service analytics; and big data visualization – all without the assistance of the IT department. In this report from the Eckerson Group, you will learn:

  • Types of data sources big data analytics platforms should support.
  • Programming language compatibility.
  • Query performance considerations and support for high-velocity data
  • The importance of data integration, security, and embedded analytics.

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