To win with data, companies must enable modern analytics, empowering every corner of their business to analyze and act on all available data, on-demand. But the “data supply chain” has exploded, with a growing and shifting variety of data sources and storage/compute platforms being put to use for general-purpose data science as well as specific initiatives such as cybersecurity, IoT and customer 360.

This dynamic sprawl of technology makes it resource-intensive to design reliable data integration architectures. Moreover, the exploding supply chain creates data drift, unexpected flux in data formats and semantics that break pipelines and pollute data integrity.

To master the modern data supply chain, enterprises need to adopt DataOps, an agile and iterative process for managing data integration and management. In the same way that DevOps enables continuous delivery of applications, DataOps allows enterprises to operate data integration architectures that frequently iterate in response to changing infrastructure, data sources and analytics requirements.

To make it easier to be agile, StreamSets built the industry’s first DataOps platform. With it, enterprises can develop and operate data movement architectures that span edge devices, data center platforms and multiple clouds to bring about the vision of pervasive intelligence.

The platform enables companies to:

• Build dataflows 10 times faster with 1/10 the resource
• Move data continuously with end-to-end visibility and control
• Enforce dataflow performance through Data SLAs
• Iterate pipelines and topologies through a central hub

The platform is architected with Intelligent Pipelines that inspect and learn from the data as it passes. This provides numerous benefits, such as the automatic handling of data drift, and the detection and securing of sensitive data in-stream for improved regulatory compliance.