Databricks

Migrating data warehouse workloads is a challenging but essential task for any organization. At Databricks, our Professional Services team works directly with customers across industries on migration projects - and they’ve gathered insights along the way. Here are 5 best practices any data professional should consider, drawn from our customers’ own migration stories. https://dbricks.co/3YE1TFT

“The key challenges we hear about from customers are governance, compliance, security, fine tuning, and doing those things on your data. #DataIntelligence is a game changer.” At Battery Ventures’ #OpenCloudSummit, Databricks CRO Ron Gabrisko discussed the current state of enterprise #GenAI — including the biggest use cases, solving adoption bottlenecks, and more. A big thank you to Battery Ventures and Nasdaq for helping us kick off the event with a guest appearance in Times Square!

We examined usage data from 10,000+ global Databricks customers to understand how enterprises are approaching GenAI and how trends—like the rapid adoption of vector databases—reflect their broader strategies. Databricks experts Kobie Crawford and Kunal Marwah break down these insights and other findings from the State of Data + AI report with Ravit Jain. Watch the full conversation: https://dbricks.co/3UGizeZ

Join us at #AWSreInvent to explore the latest advancements in data intelligence with live demos and real-world GenAI success stories! We'll also be showcasing innovative solutions in our technical sessions, including a joint talk with Mastercard on building and deploying GenAI apps.  https://dbricks.co/40yE1nS

Are you solving real-world problems with data and AI? #DataAISummit Call For Presentations is now open! Share your practical insights + solutions and show how your work is pushing the limits of AI, analytics and data engineering. This is a great opportunity to gain valuable speaking experience and inspire your peers. Submit your idea: https://dbricks.co/3YE1HGJ

Now GA: materialized views and streaming tables on Databricks SQL. Create efficient and scalable data pipelines – from ingestion to transformation – using just Databricks SQL. Available on AWS and Azure. Learn how these tools empower analysts and analytics engineers to deliver data and applications more effectively within the DBSQL warehouse. https://dbricks.co/3UFClXX

Tired of struggling with unstructured text data across millions of documents? Databricks makes it easy to scale and automate #LLM inference. With batch inference on #MosaicAI Model Serving: - Run large-scale inference on governed data without manual exports or complex -infrastructure. - Process millions of rows using familiar SQL queries. - Easily integrate preprocessing, inference, and post-processing into a unified workflow. Learn more: https://dbricks.co/48pltdx

#DatabricksAssistant is your context-aware AI assistant that lets you query data through a conversational interface. For Data Engineers, Databricks Assistant helps eliminate tedium, increase productivity and immersion, and accelerate time to value. How can you get the most out of AI-assisted data engineering? Read these tips & tricks: https://lnkd.in/gaTg-nAV

We recently introduced two new features in AI/BI Genie to help build confidence in the accuracy of provided insights: - Benchmarks: Genie authors create test questions to track accuracy as they update their Genie space’s instructions and settings. - Request Review: End users request Genie authors verify or correct responses, and then receive confirmation. See for yourself: https://dbricks.co/3YIMCoK

Join us to examine how real-world AI is helping data engineers build stronger, more reliable data pipelines faster. We’re thrilled to feature a lineup of expert speakers from Databricks, Informatica, Lexmark, and Mahindra Group as they explore how data intelligence is revolutionizing data engineering. Topics we’ll cover include AI-generated code, how to unify ingestion, transformation and orchestration, and more. Register here👇 https://dbricks.co/3AaaM1Z