Thanks to development of technologies, in particular the IoT, organizations receive real-time data: e.g., stock market reports, transaction data, website link clicks, and environmental changes. Such data is of particular value as it allows to identify patterns, determine public sentiment, track threats in a timely manner, and form and develop hypotheses.
However, many organizations face a problem: data generated by the IoT and other sources accumulates very quickly, much faster than specialists can sort and analyze it. Therefore, instead of facilitating effective decision-making, streaming data often takes time and makes the business inflexible.
Organizations can only gain maximum benefit if they can analyze data in real time. This is where Data Engineering Streaming helps – a scalable solution that enables to quickly process streaming data from the IoT and other sources and extract business-relevant information from it.