Creating a Modern DataOps Environment to Drive Analytics

Presented by

Mark Ramsey, [PHD] (Former Chief Data & Analytics Officer, GSK)

About this talk

The application of AI and machine learning to tackle tasks such as drug discovery, customer insight or clinical trial optimization are popular media topics. An area of much less coverage is the application of these technologies in the creation of a modern DataOps environment. This session will highlight how a Top 10 pharmaceutical company implemented a large scale, production class, big data & analytics platform in less than a year leveraging bots, machine learning and real-time pipelines. Learn how the technology mix was applied to the data sources, ingestion and rationalization processes to accelerate the delivery of analytics ready data to the business.

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The StreamSets DataOps platform enables companies to build, execute, operate and protect batch and streaming dataflows. It is powered by StreamSets Data Collector, award-winning open source software with approximately 2,000,000 downloads to date from thousands of companies. The commercial StreamSets Control Hub is the platform's cloud-native control plane through which enterprises design, monitor and manage complex data movement that is executed by multiple Data Collectors. Unique Intelligent Pipeline technology automatically inspects the data in motion, detecting unexpected changes, errors and sensitive data in-stream. Global 2000 customers use StreamSets for data lake ingestion, Apache Kafka enablement, cybersecurity, IoT, customer 360, GDPR compliance and more. In 2017, the company tripled its customer count and quadrupled revenues.