Databricks
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NOV. 25 - NOV. 30, 2018
LAS VEGAS, NV

ML and Data Science at AWS re:Invent

Databricks is proud to be a Platinum sponsor at AWS re:Invent. As the original creators of Apache SparkTM, Databricks will demonstrate the latest in machine learning and AI at booth #416. Stop by the booth and grab some cool schwag, and get a demonstration of MLflow, TensorFlow, Apache Spark, and many other cool technologies that are accelerating innovation at companies like HP, Shell, NBC Universal, Viacom and Overstock.com.

MLflow - TensorFlow - Apache Spark

Demos you can see at the Booth:

  • AWS SageMaker and MLflow – simplifying end -to-end ML lifecycle
  • XGBoost and Databricks ML Runtime – delivering loan risk analytics
  • Keras and TensorFlow on Databricks ML Runtime – simplifying deep learning
  • AWS Kinesis and Databricks Delta – delivering real-time analytics and batch queries
  • Solving the small file problem – OPTIMIZE your big data transactions queries with Databricks Delta

Check out this session

MLflow (currently in beta) is an open source platform to manage the ML lifecycle, including experimentation, reproducibility and deployment. It currently offers three components:

MLflow Tracking – Record and query experiments: code, data, config, and results
MLflow Projects – Packaging format for reproducible runs on any platform
MLflow Models – General format for sending models to diverse deployment tools

To learn more about MLflow, make sure to attend the session “MLflow: Infrastructure for a complete Machine Learning Life Cycle” Thursday, Nov 29, 1:00 PM-2:00 PM – Aria West, Level 3, Juniper 1

Pre:Invent Webinar

View the Pre:Invent Webinar to help you get prepared for re:Invent. Learn tips and tricks on how to navigate the event and special learning opportunities.

Competencies and Certifications

Databricks has achieved the following AWS competencies and certifications:


Visit the Databricks booth to learn more

For More Information

Visit our AWS page for case studies on how customers are using AWS and Databricks to accelerate innovation
.

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