Data Engineering with Cloudera Altus

With modern businesses dealing with an ever-increasing volume of data, and an expanding set of data sources, the data engineering process that enables analysis, visualization, and reporting only becomes more important. When considering running data engineering workloads in the public cloud, there are capabilities which enable different operational models from on-premises deployments. The key factors here are the presence of a distinct storage layer within the cloud environment, and the ability to provision compute resources on-demand (e.g.: with Amazon's S3 and EC2 respectively). Read more The post Data Engineering with Cloudera Altus appeared first on Cloudera Engineering Blog.

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