Data is being generated from a myriad of sources. That data is being crunched by analytics, machine learning (ML), and artificial intelligence (AI) models to detect behavior from patterns and gather insights.

Developing and maintaining an on-premises data lake, to make sense of the ingested data, is a complex undertaking. To maximize the value of data and use it as the basis for critical decisions, the data platform must be flexible and cost-effective.

Source: DZone