Introducing the Databricks Community: Online Discussions for Data + AI Practitioners
At Databricks, we know that impactful data transformation in any organization starts with empowered individuals. This is why we are excited to launch...
Infrastructure Design for Real-time Machine Learning Inference
This is a guest authored post by Yu Chen, Senior Software Engineer, Headspace. Headspace's core products are iOS, Android and web-based apps that...
Mastering the Next Level: Leveraging Data and AI in the Gaming Sector
How do you take 10k events per second from 30M users to create a better gamer experience? How can a small data team...
Getting to Know Databricks India
India is a vast country with extreme variations. A one-size-fits-all workplace does not do it justice. Although continued urbanization, transportation, and infrastructure are...
How Building Apache Zeppelin Led Me to Databricks
Today, I am excited to announce that I have officially joined Databricks as an Engineer on the Data Science team. This move comes...
Announcing the Databricks Beacons Program
With roots in academia and open source, we know much of Databricks’ success is due to the community- the data scientists, data engineers...
Databricks Lecture Series at UC Berkeley School of Information
This is a collaborative post from Databricks and UC Berkeley. We thank Tia Foss, Director of Philanthropy, UC Berkeley School of Information, for...
Improving Patient Insights With Textual ETL in the Lakehouse Paradigm
This is a collaborative post from Databricks and Forest Rim Technology . We thank Bill Inmon, Founder and CEO, and Mary Levins, Chief...
Driving Transformation at Northwestern Mutual (Insights Platform) by Moving Towards a Scalable, Open Lakehouse Architecture
This is a guest authored post by Madhu Kotian, Vice President of Engineering (Investment Products Data, CRM, Apps and Reporting) at Northwestern Mutual...
Using Your Data to Stop Credit Card Fraud: Capital One and Other Best Practices
Fraud is a costly and growing problem – research estimates that $1 of fraud costs companies 3.36x in chargeback, replacement and operational cost...