Big Data Analytic Tools Checklist
Written by Wayne Eckerson and Phil Bowermaster from Eckerson Group, this report defines the 10 most important characteristics of a big data analytics tool. Companies should evaluate their current or proposed reporting and analysis solutions against these 10 characteristics to ensure they are getting a product designed from the ground up to handle big data at speed that emanates from a variety of systems and sources, including the internet of things.
Most traditional business intelligence (BI) tools were not designed for big data.
So how do you find a self-service tool that enables a wide range of business users to query, prepare, visualize, and analyze data without assistance from IT? This report from the Eckerson group:
- Explains why most BI tools can’t handle big data
- Defines the 10 most important characteristics of a big data analytics tool
- Helps companies find a product designed to handle the volume and velocity of big data