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Databricks Ventures Launches New Fund to Extend our Ecosystem Leadership We launched Databricks Ventures in December 2021 as our strategic investment arm for funding innovative startups across the data, analytics and AI landscape — companies that sha...
Out-of-the-box, self-tuning data layout that scales with your data We’re excited to announce the General Availability of Delta Lake Liquid Clustering in the Databricks Data Intelligence Platform. Liquid Clustering is an innovative data management tec...
We are excited to introduce Databricks Assistant Autocomplete now in Public Preview. This feature brings the AI-powered assistant to you in real-time, providing personalized code suggestions as you type. Directly integrated into the notebook and SQL ...
Great features, help to write code much faster
TetraScience and Databricks Join Forces To Transform Scientific Research, Development, Manufacturing, and Quality Control in Life Sciences BOSTON & SAN FRANCISCO, May 20th, 2024 - TetraScience and Databricks today announced a strategic partnership de...
The ability for organizations to adopt machine learning, AI, and large language models (LLMs) has accelerated in recent years thanks to the popularization of model zoos – public repositories like Hugging Face and TensorFlow Hub that are populated wit...
In the realm of AI, achieving accuracy is paramount. The publication delves into techniques for refining models to ensure they reliably deliver precise outcomes in real-world scenarios. It covers methodologies such as continuous monitoring, data augm...
Get started with Databricks Asset Bundles (DABs) today! Simplify project management, versioning, testing, and deployment for your data and AI projects on the Databricks Platform. Embrace software engineering best practices with DABs—source control, c...
This was most awaited features.I am already using Bundle for workflow CICD.
Run Scala, Python and SQL workloads on shared, cost-efficient multi-user compute. We are thrilled to announce Unity Catalog Lakeguard, which allows you to run Apache Spark™ workloads in SQL, Python, and Scala with full data governance on the Databric...
Hello Sujitha - Will this be extended to R? And by when? R continues to be used quite heavily in the industry. Would be good to know when the limitations of R and shared cluster usage will be taken away.
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Hi everyone! Thank you all so much for the amazing response to this post! We are so grateful to hear your feedback. This post is now closed, but stay tuned for similar opportunities in the future. Thanks again!
