Comments on: What Does Real-time Really Mean In Data Analytics? https://insideainews.com/2023/08/25/what-does-real-time-really-mean-in-data-analytics/ Illuminating AI's Frontiers: Your Go-To News Destination. Mon, 06 Nov 2023 13:21:46 +0000 hourly 1 https://wordpress.org/?v=6.6.1 By: Aniket Dubey https://insideainews.com/2023/08/25/what-does-real-time-really-mean-in-data-analytics/#comment-543745 Mon, 06 Nov 2023 13:21:46 +0000 https://insidebigdata.com/?p=33217#comment-543745 As someone working in the data analytics field, I found this to be an insightful article that clearly defines the nuances of real-time data analysis. Paige Roberts, you have done an excellent job of delineating the different categories, from sub-second response times to interactive speeds, as well as streaming versus event-driven end-to-end processing. I appreciate how the article stresses the importance of aligning infrastructure and pipelines to meet modern real-time requirements.

In my experience, achieving true real-time analytics requires rethinking assumptions and processes built for batch paradigms. It’s not just about bolting on new technologies but re-architecting the entire data flow. Steps like focusing on in-database processing and automating streaming ETL accelerate time-to-insight. My view is that organizations must make real-time analytics a first-class initiative – with executive sponsorship, dedicated teams, and persistence through the multi-phase journey. When done right, real-time data can be transformative, enabling intelligent alerting, dynamic optimization, and instantaneous decision-making. However it requires an upfront strategy and sustained commitment. I believe this article provides excellent guidance for organizations looking to embark on the path toward unlocking the full value of real-time data.

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