You would be forgiven if you thought you knew Cloudera. The company is best known as the premier Apache Hadoop distribution and found early success as Big Data, data lakes, and Hadoop all rose to prominence in the minds of enterprise leaders over the last decade. More recently, however, the company has repositioned itself as a “modern [data] platform for machine learning and analytics optimized for the cloud.”
The company realized that as data became essential to business and digital transformation, it could enable organizations to discover insights in their data and do things with that data that had not been possible in the past. In response, it has developed and optimized its platform for performing machine learning and analytics, both on-prem and in the cloud. Its mission is to provide a common construct for management and compliance of an organization’s data — regardless of where that data may exist.
The company’s core product is what it calls the Enterprise Data Hub, which combines an analytics database, an operational database, and a data science and engineering component to manage the process of developing and serving predictive models. The ultimate goal, the company explains, is to provide enterprises with the ability to harness the power of their data across the spectrum from data management, through analytics, and ultimately to machine learning derived business insights.
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