Databricks at GoDataFest 2019
summary
Databricks users describe running over a million retrainings daily of supervised models and using the platform to scale deployment to customers, backed by concrete operational numbers and workflows. Delta Lake gets explained with Delta Lake bronze/silver/gold layers as the schema for handling large offline on‑prem data and enabling aggregate analysis. Demos and meetups show Koalas on Databricks and practical migration patterns, tooling used, and whether those pipelines actually work in production.
AI-written summary · about
related talks
34mOverview of the Databricks Platform
57mScaling Databricks to Run Data & AI Workloads on Millions of VMs
22mReliable data engineering made easy
52mElevate your data and AI governance with Databricks Data Intelligence Platform
01mDatabricks Customers
58mBuild reliable data lakes with Delta Lake & Databricks
36mData Lakes with Azure Databricks
43mAnalyzing Big Data in Azure cloud using Spark and Databricks
