Big data has a big problem: How to support real-time analytics

I’m stating the obvious when I say big data, business analytics platforms and the IoT have IT and business development teams scrambling to see what benefits stand to be gained by analyzing the massive amounts of data their systems generate.

But with organizations generating terabytes of data every day, the time required to upload, categorize, clean, and analyze that data to gain any insight from it can be significant. Most organizations implement batch data processing schedules in which new data from client devices is uploaded to the datacenter for analysis at scheduled intervals, not continuously.

Author: Arjuna Chala


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