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              September 6, 2016

              “Real-time” is getting real

              I’ve been an analyst for 35 years, and debates about “real-time” technology have run through my whole career. Some of those debates are by now pretty much settled. In particular:

              A big issue that does remain open is: How fresh does data need to be? My preferred summary answer is: As fresh as is needed to support the best decision-making. I think that formulation starts with several advantages:

              Straightforward applications of this principle include:

              E-commerce and other internet interaction scenarios can be more complicated, but it seems safe to say:

              In meeting freshness requirements, multiple technical challenges can come into play.

              Based on all that, what technology investments should you be making, in order to meet “real-time” needs? My answers start:

              So yes — I think “real-time” has finally become pretty real.

              Comments

              5 Responses to ““Real-time” is getting real”

              1. Notes on anomaly management | DBMS?2 : DataBase Management System Services – Cloud Data Architect on October 11th, 2016 1:24 am

                […] Different anomaly management users need very different kinds of UI. Less technical ones may want clear, simple alerts, with a minimum of false positives. Others may use anomaly management as a jumping-off point for investigative analytics and/or human real-time operational control. […]

              2. Rapid analytics | DBMS?2 : DataBase Management System Services on October 21st, 2016 10:17 am

                […] I recently posted that “real-time” is getting real. But there are multiple technology challenges involved, […]

              3. Rapid analytics | DBMS?2 : DataBase Management System Services – Cloud Data Architect on October 22nd, 2016 1:25 am

                […] I recently posted that “real-time” is getting real. But there are multiple technology challenges involved, […]

              4. Analyzing the right data | DBMS?2 : DataBase Management System Services – Iot Portal on April 13th, 2017 10:01 am

                […] remain central to BI. If your BI doesn’t support robust drilldown, you’re doing it wrong. “Real-time” use cases are not exceptions to this […]

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