Databricks and University of Rochester
At Databricks, we strongly believe ("know" you could say) that data and AI are mission-critical for solving the biggest problems our world faces...
Identifying Financial Fraud With Geospatial Clustering
Check out the solution accelerator for the accompanying notebooks For most financial service institutions (FSI), fraud prevention often implies a complex ecosystem made...
Efficiently Building ML Models for Predictive Maintenance in the Oil and Gas Industry With Databricks
Guest authored post by Halliburton’s Varun Tyagi , Data Scientist, and Daili Zhang , Principal Data Scientist, as part of the Databricks Guest...
Benchmark: Koalas (PySpark) and Dask
Koalas is a data science library that implements the pandas APIs on top of Apache Spark so data scientists can use their favorite...
Fine-Grained Time Series Forecasting at Scale With Facebook Prophet and Apache Spark: Updated for Spark 3
Advances in time series forecasting are enabling retailers to generate more reliable demand forecasts. The challenge now is to produce these forecasts in...
Data + AI Summit Is Back
Data + AI Summit , the global event for the data community, returns May 24-28. We are thrilled to announce that registration for...
Data Democratization: A Key to Building a Healthy Data Culture
Building a thriving data culture is a strategic priority for many organizations, but only 24% of enterprises have managed to forge a data...
Introducing Delta Time Travel for Future Data Sets
We are thrilled to introduce enhanced time travel capabilities in Databricks Delta Lake , the next-gen unified analytics engine built on top of...
Top Questions from Customers About Data Management
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. Last week, we hosted...
Databricks Notebook Dark Theme
This became the most-requested feature in Databricks' history, and now it's here: a dark theme for the Databricks notebook! We're excited for you...