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Realize the Promise of Streaming with the Databricks Lakehouse Platform

On Demand

Type

  • Session

Format

  • Hybrid

Track

  • Data Engineering

Room

  • Moscone South | Level 3 | 306

Duration

  • 35 min
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Vue d'ensemble

Streaming is the future of all data pipelines and applications. It enables businesses to make data-driven decisions sooner and react faster, develop data-driven applications considered previously impossible, and deliver new and differentiated experiences to customers. However, many organizations have not realized the promise of streaming to its full potential because it requires them to completely redevelop their data pipelines and applications on new, complex, proprietary, and disjointed technology stacks.

The Databricks Lakehouse Platform is a simple, unified, and open platform that supports all streaming workloads ranging from ingestion, ETL to event processing, event-driven application, and ML inference. In this session, we will discuss the streaming capabilities of the Lakehouse Platform and demonstrate how easy it is to build end-to-end, scalable streaming pipelines and applications, to fulfill the promise of streaming for your business. You will also hear from Erica Lee, VP of ML at Upwork, the world's largest Work Marketplace, share how the Upwork team uses Databricks to enable real-time predictions by computing ML features in a continuous streaming manner.

Session Speakers

Steven Yu

Principal Solutions Architect

Databricks

Erica Lee

VP, ML

Upwork

Ray Zhu

Sr. Staff Product Manager

Databricks

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