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Apache Spark and Sights at Speed: Streaming, Feature Management, and ExecutionTed Malaska Capital On

Опубликовано: 28 Сентябрь 2024
на канале: Databricks
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Ever sense data became cool in the early 2000's the dream was to have a company that collected, learned, and reacted to data in NRT and with the flexibility to grow. We are now at that time, and Spark can be a major part of that solution. In this session we will walk through the common data architecture patterns and show how you may be steps away from a world class implementation of streams and spark to reach world first class levels with your data understanding, learning, and response. In this session we will be digging deep into spark patterns for training, model execution, and streaming feature state management.

About: Databricks provides a unified data analytics platform, powered by Apache Spark™, that accelerates innovation by unifying data science, engineering and business.
Read more here: https://databricks.com/product/unifie...

Connect with us:
Website: https://databricks.com
Facebook:   / databricksinc  
Twitter:   / databricks  
LinkedIn:   / databricks  
Instagram:   / databricksinc   Databricks is proud to announce that Gartner has named us a Leader in both the 2021 Magic Quadrant for Cloud Database Management Systems and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms. Download the reports here. https://databricks.com/databricks-nam...

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