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.
When you’re running complex, multistage data pipelines in production, a lot can go wrong. Avoid common pitfalls by following battle-tested best practices for building production-ready pipelines with built-in reliability and easy troubleshooting on the Databricks Lakehouse Platform. Advanced capabilities such as Delta Live Tables and Databricks Workflows can help you introduce deep observability and simple orchestration into every stage of your pipelines.
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.
Accelerate your fan engagement with the Microsoft and Databricks team in this live webinar and bring your questions. We will cover the benefits of Azure Databricks and the Lakehouse architecture, how users can easily deploy Azure Databricks, and how we powered the Indiana Pacers with the help of Anthony Brock, Sr. Director, Business Analytics at Pacers Sports & Entertainment.
Join Databricks for our Women in Data event at the Databricks office. Start off the evening with a panel led by Chengyin Eng, Senior Data Science Consultant at Databricks, and Sue Ann Hong, Software Engineer at Databricks. They will be discussing their experience as women in data, the challenges and rewards of working in this field and more. Following the panel session, stick around to network with other data peers while enjoying drinks and small bites.
As banks and insurers collect vast amounts of data on their customers, data governance has become more complex than ever. Keep tight control of your data — and run all your workloads in one place — with the lakehouse architecture.
Join Databricks and AWS to learn how to leverage best practices for implementing a complete data analytics, data engineering and data science lifecycle on the lakehouse with Databricks on AWS.
Talk directly to our data and AI experts at our booth to discuss your data challenges and learn how the Databricks Lakehouse for Healthcare and Life Sciences empowers you to reimagine the future of healthcare. Discover how the Databricks Lakehouse is the only enterprise data platform that allows you to leverage all your data in real time — from any source, on any workload — to reduce TCO and increase innovation (with the best performance and at the lowest cost).
Join us in Zurich 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.