DataOps For Future Complexity And Change
Data Movement is a Constant Process DataOps is “DevOps for data”, a set of technologies and practices that combine the development and operation of data movement architectures into the constant process, independent of underlying processing systems and data sources. In a world demanding quick consumable data, there is a struggle due to constant change, data drift, traditional strategy of designing, deploying and operating data pipelines. Everything in the process can be risky and expensive. DataOps is one of the test environment management tool which do not disappoint. DataOps : Collaborative, Cross-platform and Flexible DataOps allows these key improvements over traditional methodologies. More benefits; Collaborative improvements and implementation of data movement can be used to speed up time to value, maximise reuse, reduce pipeline defects and implement best practice. A cross-platform data transfer layer is used for comprehensive operational visibility and perfo