Events
Learn more about Databricks events and the Data + AI Summit
Led by Databricks instructors, these sessions will use real-world data sets as we go under the hood to demonstrate how to use robust technologies such as Delta Lake, Databricks SQL and MLflow. This in-person program offers two days of content, and you are welcome to attend both days or just the session most relevant to your priorities. Free to attend, in these technical hands-on workshops you will gain a better understanding of how Databricks Lakehouse supports data and AI initiatives plus allows practitioners to work more collaboratively and innovate faster. No immediate knowledge of Databricks is required.
Easily ingest and transform batch and streaming data with reliable production workflows on a single data platform. The Databricks Lakehouse Platform is the best place to build and run modern data pipelines to support real-time analytics, ML and applications. Find out how in this live webinar.
Customers & Microsoft Partners who are planning on building out a use case in Azure get an introduction to the Lakehouse (on Azure). The output of this day will be the base understanding on how to setup, use and collaborate on Azure Databricks so that steps can be made to implement a use case.
Today’s organizations have access to unprecedented volumes of marketing data — data that can vastly improve customer experiences and unlock greater levels of efficiency. However, only 53% of marketing decisions are influenced by analytics. To make data-driven decisions, organizations need a modern data stack that captures, stores and processes heterogenous customer data efficiently.
Lakehouse is fast emerging as the new standard for data architecture. Still, every region has its own unique stories and challenges. Join hundreds of data, analytics and AI experts, industry visionaries, and local Databricks customers at this conference to explore the technical and business value of the lakehouse. Through curated practical use cases and real customer scenarios, discover how top enterprises optimize cost and drive the next era of innovation with data and AI, as well as how high-growth tech startups leverage open-source technologies to drive business value and breakthrough.
Join us in Munich to find out how the lakehouse architecture unifies your data, analytics and AI, combining the best of data warehouses and data lakes on one simple platform. Built on an open and reliable data foundation that efficiently handles all data types, the lakehouse applies one common security and governance approach across all your data and cloud platforms.
Join Databricks and Microsoft to learn how to leverage best practices for implementing a complete data analytics, data engineering and data science lifecycle on the lakehouse with Azure Databricks.
We’re excited to be sponsoring #mdscon 2023 hosted by @fivetran in San Francisco on April 4-5! Come together with other data visionaries and tech execs to discuss the power and promise of #data and #datainfrastructure. Drop by the booth to meet the team, chat with our experts, and grab some swag 😎. Use promo code MDSCON-DATABRICKS for 15% off your ticket! https://www.moderndatastackconference.com/
Organizations are looking to reduce costs while accelerating innovation with a single unified platform for all data, analytics, and AI workloads. We often field questions on how to best migrate away from platforms like Hadoop, SAS, Snowflake, Synapse, and Redshift. This series aims to address these questions and provide an open discussion on best practices + success stories shared by Databricks, our Customers, and our trusted Canadian Partners.
Learn why successful organizations are switching to modern, cloud-based platforms like Databricks to drive innovation, productivity and business outcomes. Leave with a best practice framework for safely and securely migrating data and workloads to Databricks.
