Building Data-Driven Data Pipelines Using a Streaming Approach

Presented by

David Kjerrumgaard, Director of Solution Architecture, Streamlio

About this talk

Traditional batch-driven data pipelines were designed for a world where data was slow-moving and processing that data overnight was considered state-of-the-art. That’s a far cry from today’s environments, where enterprises are dealing with a growing number of data sources that generate data in an ongoing stream, and where applications and users expect to have immediate access to current data. Trying to take the same technologies and approaches that were used for batch data pipelines and just running them faster is not the answer. But stream processing has often required complicated, unfamiliar approaches and technologies and as a result created problems and headaches of its own. Join us for an educational webinar about practical ways to evolve your data pipelines to handle fast-moving and streaming data. You’ll learn: * Key considerations you need to know when planning for fast-moving data. * How modern streaming technologies can be applied in modern data pipelines. * How Apache Pulsar can be used as a key technology to support streaming data pipelines.

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Streamlio enables enterprises to respond and react to fast-moving data in real-time. Built from technology proven in production at scale, the Streamlio solution uses best-in-class messaging, processing, and stream storage technology to help enterprises build data pipelines and deploy data analytics that are dramatically faster, more scalable, and more reliable, at a fraction of the cost and complexity.