Big data is notoriously hard to work with, but it doesn't have to be.
Datanami said, "As far as we’ve come with machine learning and AI, we still have yet to fully master all aspects of managing big data. The scale and the complexity of today’s data and analytics applications don’t lend themselves to easy solutions."
Most of the problem isn't collecting the data, the problem is turning those numbers into actionable insights.
That's why our real-time analytics dashboards are so important! They can show you immediately what you need to know and understand in order to make decisions about your machines.
But companies that were hoping the cloud would solve their data management challenges will be disappointed to find that things aren’t any easier on the cloud than they are on-premise, says Buno Pati, the CEO of Infoworks, a provider of data orchestration tools.Cloudera and AWS, as the leading representative of the two camps, have both promised to address this challenge with hybrid data management solutions and tools that work seamlessly across both cloud and on-premise systems, but those promises have not yet been fulfilled.Read More