Streaming analytics is key to leveraging value from M2M and IoT data

The constant and relentless nature of ‘always-on’ data generation also makes real time analytics even more important. Much of this data is only relevant now, in the moment, and once it is historical it no longer has worth. It must be analysed immediately and then deleted, otherwise no value can be gained.

5 critical success factors for streaming data pipelines

Earlier this year, our partner, Syncsort published the results of their 2019 Data Trends survey. A key finding; IT is grappling with data delivery and value Only nine percent of respondents called their organisation very effective at getting value from data, with many struggling to make data accessible to users. What is Data Streaming? Data…