Hi Everyone, Hope everything is well. My name is Eimis Pacheco, and I am going to the Databricks Data + AI summit of this year in San Francisco. I wanted to ask who from Austin will go to the event too, in case you guys would like to hang out.   This is my email eimispacheco@gmail.com in case someone wants to reach out.   Have a great evening all of you ... View more

Hey Data Engineers! 👋 How are you all doing? Hope you're having a great time working with data! Let me share a quick story. A while ago, my team had a problem—our data pipeline was taking 4+ hours to run. We tried different things, but nothing worked. Then, we sat together, shared ideas, and found a simple solution—better partitioning and Z-Ordering. Guess what? We reduced the time to just 45 minutes!  This showed me that data engineering is not a solo job. We grow when we collaborate, share knowledge, and solve problems together. With new trends like Lakehouse, Data Mesh, AI-powered automation, and real-time streaming, teamwork is more important than ever! Let’s keep learning and building together! When did teamwork help you solve a big data problem? Share your story below! Regards, Brahma ... View more

Hello Austin Databricks Community, Hope this article finds you well. Ever spent hours tweaking partitions, only to find out your queries are still slow? Yeah, we’ve all been there. But guess what? Liquid Clustering in Delta Lake 3.0 makes all that manual partition tuning a thing of the past! Instead of manually deciding how to split your data, Liquid Clustering automatically organizes it based on how you use it. That means: Faster queries – Less data scanning, more speed! No manual partition tuning – No need to pick the “right” partition key. Smarter storage management – Keeps your files tidy and optimized. Works in the background – You set it up, and Databricks takes care of the rest! Whether you're running big data analytics, dashboards, or ML pipelines, Liquid Clustering makes everything run smoother. If you're using Databricks and Delta Lake, this is a must-try feature! Anyone tried Liquid Clustering yet? Drop your thoughts below! ... View more

Hello Austin Databricks Community, I hope this message finds you well. Just wanted to share some new updates happening in Data + AI world right now. Nowadays, companies are making use of  Data Mesh and Data Fabric to decentralize data ownership, making access faster and easier. AI is stepping up by automating tasks like query optimization and real-time data organization, saving time and effort. Real-time analytics is booming in industries like finance and healthcare, powered by tools like Delta Live Tables. Meanwhile, Generative AI is simplifying data analysis with features like automatic report and query generation. The Lakehouse architecture is cutting costs by merging data lakes and warehouses into one scalable solution. Businesses are also using tools like MLFlow to make smarter decisions with predictive analytics. Lastly, data governance and collaboration tools like Unity Catalog are helping teams share data securely and efficiently. These trends are shaping the future of Data + AI, and Databricks is leading the way. What trends are you seeing? Let’s share and learn together! 🚀 ... View more

What's Your Databricks Aha! Moment? 🌟 Whether you’re new to Databricks or a seasoned pro, there’s always that one moment when everything just clicked. Maybe it was when you nailed a tricky notebook, optimized a query, solved a big data challenge, or realized how collaboration can change the game. We’d love to hear your Databricks Aha Moment! Share your story in the comments below and inspire others! Let’s celebrate those breakthroughs together. 🚀 ... View more