We’re excited to invite you to our MONTHLY Databricks Get Started Days, a half-day virtual learning experience designed to jumpstart your journey with Databricks. This global event is tailored to equip you with essential data engineering and analysi...
Join us for the return of the Virtual Learning Festival! Mark your calendars from 9 April - 30 April 2025! Upskill across data engineering, data analysis, machine learning, and generative AI. Join the thousands who have elevated their career with...
Date & Time:8 April (Tuesday), 11 AM – 3 PM SGT Registration Page:Register Here: https://events.databricks.com/FY260408-SD-AIBIforSelf-ServiceAnalytics What You'll Learn:In this training session, you will learn how to self-serve business insights ...
Learn the foundational principles of the lakehouse architecture with three short self-paced videos The architecture of your data platform directly affects the reliability, performance and scalability of your data and AI initiatives. The lakehouse arc...
Be part of a global movement! Connect with 22,000 data enthusiasts at 700+ sessions, keynotes, and hands-on training at this year’s Data + AI Summit. Whether you’re into data intelligence, governance, AI, or data warehousing, this is your chance to l...
Meet Takuya Omi (尾美拓哉), a passionate Data Engineer at NS Solutions and a valuable member of the Databricks Community. Takuya's career journey began in the marketing division of a financial institution, where his early work with SQL and machine learni...
Over the years, I have collaborated closely with ML engineering leaders across various industries, guiding them on how to make the right chunking strategy decisions for their Retrieval-Augmented Gener...
As machine learning (ML) workloads continue to grow in complexity and scale, organizations are looking for efficient and scalable solutions to manage their ML lifecycle. Databricks offers a powerful p...
Introduction Building a reliable data pipeline goes beyond setting up a functional workflow — it requires meticulous testing to ensure data accuracy, integrity, and quality across every stage of the p...
Introduction When should I test my data? How should it be done? Which tools and testing methods are most effective? Who holds responsibility for data quality?” These are common questions that arise in...