This post is the fourth in a series on real-time analytics. It is an excerpt from Real-time analytics, a definitive guide which can be read in full...
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Thank you for the sharing this. Great write-up. Indeed, building real-time analytics is a challenging task that requires a deep understanding of data streams, analytics processing, and system architecture. Getting the right requirements early on is crucial to the success of the project as it allows for proper scoping and planning. It is also essential to have a clear understanding of the data sources and formats, as well as the desired outcomes of the analytics. A well-defined architecture that can scale horizontally and handle data spikes is also critical. Finally, selecting the right tools and technologies that fit the project's specific needs and requirements is crucial for achieving success.
100% - thanks for the comment!