Want to talk AI research and best practices with the people working on it? The @DbrxMosaicAI research team is running meetups worldwide in May.
https://t.co/ycVpnl10js
Our #DBRX open source #LLM is now available on https://t.co/KbU0cIWZd1! Sign in (or sign up), select custom models, and start chatting with our DBRX-Instruct model. Get started: https://t.co/vtYlYeSj39
This is a big addition to the Databricks platform, letting software vendors reach our 10,000+ customers much more easily! Thanks to our early dev partners @retool, @posit_pbc, @Kumo_ai_team and @LaminiAI!
Awesome to see Oracle adopt #DeltaSharing (from @DeltaLakeOSS)! This means you can share data between Oracle, Databricks, Apache Spark, pandas, PowerBI, Excel and any system that supports the open protocol. Open makes sense for a sharing solution.
https://t.co/6yFkhZR4Lr
Predictive I/O for #DBSQL is now GA! 🎉
This # ML-powered feature makes your point lookups faster 🚀 and cheaper 🤑, giving you all the benefits of indexes and optimization services without the maintenance pain points.
Learn more ⬇️
https://t.co/q0uyPMJxja
The delta-rs project is helping bring the power of #DeltaLake outside of the Spark ecosystem. By providing a foundational Delta Lake library in Rust, delta-rs can enable native bindings in Python, Ruby, Golang, and more.
Visit GitHub 👉 https://t.co/BfC3DIyYt7
#linuxfoundation
DataBeans decided to run the TPC-DS benchmark on Delta 2.0 and Iceberg 0.14.0 and found that #DeltaLake was 1.4X faster than Iceberg in overall performance and 1.1X faster than Iceberg in load performance.
Benchmark results: https://t.co/neertuFHpj
#linuxfoundation#opensource
🌟 Databricks Photon, our optimized SQL engine, is now GA! 🌟
Customers report up to 80% lower costs and 5x lower latencies, making data analysis directly on #lakehouse the fastest solution in their company. Try it out on AWS, Azure or GCP. https://t.co/gVzuNl8keO
Did you miss today's Community Office Hours? Don't worry! The full recording can be found on the #DeltaLake YouTube channel here: https://t.co/60b9x7vyAq
#ai#data#DataEngineering
Databricks Feature Store is now GA! It was great working with the team to have a simple built-in feature store integrated with @MLflow and @DeltaLakeOSS. https://t.co/Xpqiw4cSNH
#DeltaLake 1.2 includes support for compacting small files into larger files in a Delta Lake table. OPTIMIZE reduces number of data files to improve read latency
https://t.co/00KUiKlQro
Join us this weekend for a two day, 6-hour workshop on architecting reliable scalable solutions with @ApacheSpark and @DeltaLakeOSS, lead by the Databricks Beacon @jaceklaskowski
Link to register: https://t.co/VefTNA8QzR
Databricks #AutoML just launched support for forecasting, all using the same glass-box interface that generates a notebook you can fully inspect and edit after it's done! https://t.co/cVgm0P6fy0