Analytics8 | Data & Analytics Consultancy’s Post

Delta Sharing lets you share tables where liquid clustering is enabled as well as the objects metadata including comments and primary constraints and AI Models. 🔥 Model comments and model version comments have been included in Databricks-to-Databricks shares for some time, but not announced. 🔥Table comments, column comments, primary key constraints, and volume comments are now included in Databricks-to-Databricks shares that were shared with the recipient 🔥Delta Sharing now lets you share tables that are enabled for liquid clustering, and recipients can run batch queries against them. #Databricks #DeltaSharing

🌉 SF HERE WE GO! This June, don't just attend DAIS, harness the power of Databricks! Join us at booth #64 where our team will show you why and how Databricks offers the most promising, comprehensive data platform to exceed your business goals. Learn how to leverage data, machine learning, and embed AI into your business processes. This year is all about data intelligence for all. See you in San Francisco! 🌟 #SunnyData at #DataAISummit #Databricks #UnityCatalog #DBRX #MosaicAI

𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐌𝐋𝐎𝐩𝐬 𝐰𝐢𝐭𝐡 𝐝𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬 🚀 Building on your MLOps pipeline enhancements, leveraging databricks can take your workflow to the next level: 1. Unified Analytic Platform: Seamlessly integrate data engineering, data science, and ML workflows in one platform. 2. Delta Lake: Ensure data reliability and consistency with ACID transactions. 3. AutoML: Speed up model development with automated machine learning capabilities. 4. Collaborative Notebooks: Enhance team productivity with real-time collaborative notebooks. How has databricks revolutionized your MLOps approach? Share your thoughts! 💡 #MLOps #Databricks #MachineLearning #AI #DataScience

Celebrating my accurate ML model with only 5691% error 😎 In case your model’s prediction is too good to be realistic, don't hesitate to reach out 🤝🏼😊 #machinelearning #artificialintelligence #datascience

Data scientists, ever feel like your machine learning models are missing the "bigger picture"? 🌍 Graph databases let you capture relationships between data points in a way that traditional databases just can’t. Think of it like connecting the dots, but with a network of meaningful insights! The best part? By using graph structures, you can unlock predictive power that’s tough to achieve with other models. Curious to learn how graphs fit into your ML workflow? Let’s chat! #GraphDatabases #MachineLearning #DataScience #tigergraphspeed

Just woke up from a dream where pipelines were the rockstars of the machine learning world! 🎸✨ Inspired by their awesomeness, I decided to pen down my thoughts. Check out my latest blog, where I dive into the magic of pipelines and how they make our ML projects smoother, smarter, and simply fabulous. 🚀💡 Ready to meet the superstar design pattern that's taking the ML stage by storm? Read on! 🌟 #MachineLearning #DataScience #Pipelines #TechBlog

🌟 Excited for DAIS! 💡 I’m eager to connect, learn, and share insights with fellow enthusiasts. Let's spark innovation and drive impactful change together! Drop a comment if you'll be attending too – I'd love to connect — see you at SunnyData’s booth! #DataAI #Databricks #InnovationJourney #SunnyData

Quickly Deploy Machine Learning Models..... #datascience #FutureofAI #machinelearning #deeplearning #Artificiallntelligence #innovationtimeline #neuralnetworks

AtScale & Databricks bringing focus onto the Semantic Layer on 11th Dec…only interesting if you care about delivering accurate GenAI outcomes and governable self-serve BI https://lnkd.in/eeXnppZA

End to end lifecycle of Machine Learning models.