Stream Processing and Streamsheets explained in 2 minutes

This blog gives a quick but highly informative introduction to stream processing and why agile companies should already be adopting stream processing in their operations and processes.

To explain how you can use stream processing and streamsheets, let’s first, look at the meaning of a stream. A Stream consists of records that arrive continuously in real-time. Streams are applicable everywhere, from ERP systems to production and what have you.

Before Stream processing, companies used batch processing. In batch processing, data is being collected in a file and analyzed after stoping or pausing data collection. Afterward, you would have to import the data into an analysis tool. As companies become more agile due to technology, batch processing becomes more and more unreliable.

Stream processing, on the other hand, updates data aggregations immediately. Data is being analyzed and processed in real-time. Reaction time to issues or problems is faster to prevent any major setback.

Streamsheets enables you to implement stream processing without coding. You simply drag and drop data into the sheet. You can get started with Streamsheets for free here.

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