DYK you can upgrade your #ML process with synthetic #data? Learn how you can leverage AI to generate synthetic data to tackle regression problems for better models and safer data sharing https://
bit.ly/3mEcWzY
@databricks
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Leverage Synthetic Data to Enhance ML Regression Models
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Master LLMs ETL and Data Lake Querying at DataAISummit
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Take advantage of getting trained IRL at #DataAISummit! Trainings include: Leveraging the latest developments in #LLMs How to productionalize ETL pipelines Querying directly on your organization’s #data lake And many more. Register now https://
bit.ly/40bHaZr -
Structured Streaming Delta Sharing Now GA for Real-Time
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#StructuredStreaming with #DeltaSharing is now GA! Data recipients will be able to build real-time applications using Delta Tables shared through Unity Catalog. For data providers, this means better data quality, real-time data delivery & more
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Databricks Marketplace Public Preview Launches Data Sharing
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ICYMI: #DatabricksMarketplace is now in public preview This open marketplace brings together an ecosystem of data consumers & providers to share & collaborate across data assets – without platform dependencies, complicated ETL or expensive replication! https://
bit.ly/3HvApdK -
Hugging Face Partnership Supports Next Generation AI Development
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“We think it will take a village to raise the next generation of AI, and we see Hugging Face as a fantastic supporter of these same ideals.” Senior Dir. of Product Management Craig Wiley shared with @VentureBeat details on our new @huggingface feature
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Apache Spark to Lakehouse ML: MLOps Community Podcast
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From the origins of #ApacheSpark to the concept of #Lakehouse ML, there are tons of great pieces of knowledge in this episode of the @mlopscommunity podcast! Check out the full convo between @matei_zaharia and @Dpbrinkm
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Master Databricks Lakehouse with Free Fundamentals Training
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Become a #Lakehouse master in just short videos with our Databricks Lakehouse Fundamentals free training! From security fundamentals to support workloads, we’ll get you up to speed on all things Lakehouse. Start now
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ydata-profiling Now Supports Spark DataFrames at Scale
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Now supporting Spark DataFrames, ydata-profiling (previously pandas-profiling) helps tackle data profiling needs at scale! Learn how to incorporate it into your Databricks Notebooks & data flows to leverage data profiling w/ just a few lines of code
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Hugging Face and Apache Spark Integration Accelerates LLM Training
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You asked, we delivered It’s now easier than ever to create a #HuggingFace dataset with the cost-effectiveness and performance of #ApacheSpark. Leverage up to 40% faster training and tuning of #LLMs! Learn how to easily get started https://
bit.ly/3NiqFaz -
Databricks Cluster Policies Now Generally Available for All Users
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Exciting news: cluster policies are now generally available on Databricks! We're also providing preconfigured cluster policies for three popular use cases: personal use, shared use, and jobs! See how to get started