Your feedback is crucial to us and directly influences how we innovate and improve our customer experience. To share your success and feedback with Databricks, please visit this link. The first 20 people to submit a completed survey response will ...
Thursday, September 12, 2024 | 9:00 AM-10:35 AM PT Effective governance is essential to democratizing data and AI in the age of LLMs and generative AI. Enterprises face challenges with fragmented governance across databases, warehouses, and lakes, c...
Explore data and AI in 4 short videos In just one hour, you can get the free training you need to start using AI throughout your data processes. Find out how the Databricks Data Intelligence Platform democratizes data and AI for everyone in your orga...
You're invited to join the Databricks Generative AI World Cup Virtual Hackathon, starting this week! Teams from all over the world, including Asia-Pacific & Japan, will tackle real-world challenges with cutting-edge Generative AI applications. Why J...
A Journey in Space With Apache Kafka and the Databricks Data Intelligence Platform This blog post is a follow-up to the session From Supernovas to LLMs at Data + AI Summit 2024, where I demonstrated how anyone can consume and process publicly availab...
While there have been many incredible advancements in AI and Large Language models, there are many techniques that can be applied to make tailor these models and improve performance within a specific domain or task. This talk will guide users along ...
Over 12,000 companies have adopted data intelligence. Join a tour stop near you to discover how Databricks can unlock your data and AI too. Find your city now! Explore technologies Explore the latest advancements in the Databricks Data Intellige...
When running distributed training or batch inference on multi-node GPU clusters with Spark, the GPUs on the Driver node often remain underutilized, resulting in unnecessary waste of GPU resources. The...
Introduction Enterprise Data Warehouse (EDW) Migration use cases are always complex in nature. Data architects and Data engineers spend the majority of time in analyzing the source data, identifying t...
In the halcyon days of data science’s youth, version control was an oft-overlooked aspect of the work of data science teams, a “nice-to-have” that was perhaps the domain of hobbyists and enthusiasts. ...
So imagine, you are a Data Engineer using Databricks Auto Loader to ingest data from cloud storage, when you suddenly realize that recently ingested data has some problem and you’d like to simply dele...