Using Machine Learning at Scale: A Gaming Industry Experience

Using Machine Learning at Scale: A Gaming Industry Experience

Databricks Games earn more money than movies and music combined. Games also generate a lot of data. How can that data best be used. This... Details
MLOps Using MLflow

MLOps Using MLflow

MLflow is an MLOps tool that enables data scientist to quickly productionize their Machine Learning projects. To achieve this, MLFlow has four major components which... Details
eBay’s Work on Dynamic Partition Pruning & Runtime Filter

eBay’s Work on Dynamic Partition Pruning & Runtime Filter

Databricks highlights the problems eBay faced in making sure they could handle customers’ interactive SQL queries. Details
Data Time Travel by Delta Time Machine

Data Time Travel by Delta Time Machine

No need for a DeLorean, you can time travel with Databricks. While you can use the features of Delta Lake, what is actually happening underneath... Details
Exploring the Databricks CLI – Secrets

Exploring the Databricks CLI – Secrets

Jon Wood shows us how to use the Databricks CLI to add secrets to an Azure Databricks Workspace. Details
Revealing the Power of Legacy Machine Data

Revealing the Power of Legacy Machine Data

ENGEL, which was founded in 1945, now is the leading manufacturer for injection moulding machines on the global market. Since then, the amount of data... Details
Add Historical Analysis with Easy Configurations in Fivetran Automated Data Integration

Add Historical Analysis with Easy Configurations in Fivetran Automated Data Integration

Databricks shared this video from the Data & AI Summit Europe on adding historical analysis on Salesforce data. Fivetran makes it easy to automate data... Details
Achieving Lakehouse Models with Spark 3.0

Achieving Lakehouse Models with Spark 3.0

It’s very easy to be distracted by the latest and greatest approaches with technology, but sometimes there’s a reason old approaches stand the test of... Details
Scale and Optimize Data Engineering Pipelines with Best Practices

Scale and Optimize Data Engineering Pipelines with Best Practices

Amidst rapidly changing conditions, many companies build ETL pipelines using ad-hoc strategy. However, this approach makes automated testing for data reliability almost impossible and leads... Details
The Future of Financial Services with Data + AI

The Future of Financial Services with Data + AI

In today’s economy, financial services firms are forced to contend with heightened regulatory environments and a variety of market, economic and regulatory uncertainties. Coupled with... Details