ApacheSpark

AI Big Data Data

Data + AI Summit 2021 – Call for Presentations

The Data + AI Summit 2021 Call for Presentations is closing soon. Submit your full-length session ideas, lightning talk ideas, and more for the world’s largest gathering of Data + AI practitioners. The conference is at the end of May, but the CFP is due on Sunday, February 28. Data engineering, data analytics, AI, data […]

Read More
Databricks

Introduction to Databricks Unified Data Platform

Simplify your data lake. Simplify your data architecture. Simplify your data engineering. Powered by Delta Lake, Databricks combines the best of data warehouses and data lakes into a lakehouse architecture, giving you one platform to collaborate on all of your data, analytics and AI workloads.

Read More
Databricks

MLflow Model Serving in Databricks

Databricks MLflow Model Serving provides a turnkey solution to host machine learning (ML) models as REST endpoints that are updated automatically, enabling data science teams to own the end-to-end lifecycle of a real-time machine learning model from training to production. In this video from a Data + AI Summit Europe 2020 Meetup, Andre Mesarovic introduces […]

Read More
Databricks

Scaling Pandas with Apache Spark + Koalas for ML

Databricks recently held a webinar on how they worked with Virgin Hyperloop One engineers. They discuss the goals, implementation, and outcome of moving from Pandas code to Koalas code and using MLflow. Lots of code, notebooks, demos, etc. Come hear Patryk Oleniuk, Software Engineer at Virgin Hyperloop (VHO) discuss how VHO has dramatically reduced processing […]

Read More