“DataOps applies rigor to developing, testing, and deploying code that manages data flows and creates analytic solutions.” - Eckerson Group
DataOps borrows concepts from agile development to streamline the process of building, deploying and operating dataflow pipelines at scale. Putting DataOps into action requires not only the right technology, but more broadly a thoughtful approach to align the people and the process behind such an initiative.
This Eckerson Group research report covers all aspects of adopting a DataOps approach to dataflow pipelines. Download the report to learn:
- Principles and benefits of DataOps
- Common DataOps use cases
- How StreamSets can help on a DataOps journey
Big data doesn't need to be hard. Whether using Apache Hadoop, Spark or Kafka, leading companies are leveraging StreamSets to streamline their big data journey and deliver success. StreamSets focuses on simplifying the process of building, executing and operating dataflow pipelines. The StreamSets platform combines award-winning open source software for the development of any-to-any dataflows that uniquely handle data drift with a cloud-native control plane that centralizes building, executing and operating dataflow topologies at enterprise scale. Whether you're just starting with big data, or consider yourself an expert, StreamSets can help extend the value of your deployment to deliver greater results for your business.