Data engineering made easy
Altus Data Engineering is a managed service that makes it easier than ever to execute data pipelines. Launch your cluster in minutes on AWS, and start exploring and extracting value from all your data. Over time, Cloudera plans to expand Altus to support other leading public clouds besides Microsoft Azure.
Spark on demand
Run your data processing jobs on Altus Data Engineering with Apache Spark, the open standard for flexible in-memory processing that enables batch, real-time, and advanced analytics. Submit, run, clone, troubleshoot, and terminate jobs, or filter by jobs that are running. Altus Data Engineering makes it easy to focus on your work.
Cluster management with workload analytics
Altus Data Engineering makes it easy to launch and run transient data engineering clusters on AWS. No cluster management or operations necessary. And if a job fails or appears to lag, our embedded workload troubleshooting service can identify and diagnose the root cause issue. All this so that you can make anything possible with data.
With Talend and Cloudera Altus Data Engineering, you can design a data integration pipeline that seamlessly spins up a transient Hadoop and Spark cluster. No need to worry about DevOps or provisioning, the entire server management is done by Cloudera Altus Data Engineering.
Build your next pipeline with Altus Data Engineering
Talend and Cloudera simplify management of big data projects and lower the risk to move to the cloud so that you can achieve the processing power of Hadoop and Spark more easily. Point and click your way to big data and machine learning in the cloud.