Bryan Cafferky introduces the awesomeness that is Databricks on Azure: A PaaS data science collaborative platform available as PaaS
The term Data Estate cropped up a little over a year ago, but what exactly does it mean?
Is it marketing-speak or something more profound?
In this DataPoint, I elaborate on the term “Data Estate” in front of an actual estate in Potomac, MD.
Press the play button below to listen here or visit the show page at DataDriven.tv
In this DataPoint, Frank talks about the term “Data Estate” in front of an actual estate.
Siraj Raval explores the use of AI in classifying diseases in medical imagining.
Today’s business managers depend heavily on reliable data integration systems that run complex ETL/ELT workflows (extract, transform/load and load/transform data).
Gaurav Malhotra joins Scott Hanselman to discuss how you can iteratively build, debug, deploy, and monitor your data integration workflows (including analytics workloads in Azure Databricks) using Azure Data Factory pipelines.
For more information:
- Ingest, prepare, and transform using Azure Databricks and Data Factory (blog)
- Run a Databricks notebook with the Databricks Notebook Activity in Azure Data Factory (docs)
- Create a free account (Azure)