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Events
Learn more about Databricks events and the Data + AI Summit
Databricks Government Symposium
EMEA Lakehouse Days
Learn how the Databricks Lakehouse Platform can transform your data, analytics and AI, by joining us on our EMEA Lakehouse Days Roadshow.
DAIS 2021 - Register Now
Data + AI Summit
Choose your experience — San Francisco or virtual
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Lakehouse Day I Stockholm

Meetup

Stockholm

Discover the power of the Databricks Lakehouse at our Lakehouse Day in Stockholm. Join us 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.

Lakehouse Day I Frankfurt

Meetup

Frankfurt

Join us in Frankfurt 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.

Lakehouse Day

Meetup

London

Discover the power of the Databricks Lakehouse at our live Lakehouse Day in London at Code Node Join us 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.

Build a Modern Data Stack With dbt and Databricks

Partner Event

Virtual

In this live hands-on workshop, you’ll follow a step-by-step guide to achieving production-grade data transformation using dbt Cloud with Databricks. You’ll build a scalable transformation pipeline for analytics, BI, and ML – entirely from scratch.

The Best Data Engineering Platform is a Lakehouse

Virtual Event

Virtual Event

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.

Intro to a Modern Marketing Analytics Stack

Webinar

Virtual

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 Days I Munich

Meetup

Munich

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.

Azure Databricks Lakehouse Labs | Virtual

Partner Event

Virtual

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.

Fivetran MDSCon 2023 – Diamond Sponsor

Partner Event

San Francisco, CA

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/

Databricks Lakehouse Migration Series, Best Practices and Lessons Learned

Regional Event

Toronto, Canada

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.