AI has changed everything — including the role of the data engineer. Register now for Data Engineering in the Age of AI as we explore better ways to build real-time pipelines and retool your existing data architecture to support AI use cases. Covering everything from streaming data and serverless to orchestration, governance and data sharing, this event hits on everything that's front and center for data engineers today. Here's what you'...

Data engineering has gotten messy. Your analytics teams must overcome data silos, disjointed architectures and inconsistent governance as they modernize their data stack. Find out how Databricks and dbt simplify accessing and managing data for faster time to insights by enabling teams to build production-grade data transformation pipelines on the lakehouse. Join Databricks and dbt to: Learn best practices to build a modern data stack Explore r...

The journey from training a simple model to creating a production machine learning pipeline is often seen as challenging. Typically, you have to overcome hurdles such as siloed data, inconsistent tooling and overly complex infrastructure. The key to productionizing ML is finding a solution that’s scalable, serverless and automated at every step. Join us on March 14 to learn how the Databricks Lakehouse Platform simplifies your journey by...

Organizations must embrace the cloud to harness all their data and leverage AI. But many still have data trapped in on-premises data lakes and data warehouses — in environments like Hadoop. Join us to learn how enterprises are unleashing the power of highly scalable big data with cloud-based alternatives like the Databricks Lakehouse — a simple, open and collaborative platform for all your data, analytics and AI needs. At this even...

Geospatial analytics has evolved beyond analyzing static maps. Today, enterprises have access to diverse geospatial data like high-res images, streaming video, and GPS data. By applying advanced analytics to these geospatial datasets, organizations can deliver on a broad range of use cases across all industries. Unfortunately, most organizations lack the proper data architecture to prepare these large, complex datasets for downstream analytics...

As organizations continue to develop their machine learning (ML) practice, there’s a growing need for robust and reliable platforms capable of handling the entire ML lifecycle. The emergence of MLOps is promising, but many challenges remain. Join our interactive event to hear about the latest developments from Databricks geared toward automating MLOps — including new Git and CI/CD integrations, autologging of experiments, model exp...

Come hear how digital native companies are leveraging a new data architecture — the data lakehouse — which delivers data warehouse performance at data lake economics, all powered by open source technologies. The data lakehouse architecture combines the best of data warehouses and data lakes into a single, unified architecture that can serve all data use cases, including BI, streaming analytics, data science and machine learning. At...

Real-world evidence is playing an increasingly important role in healthcare decision-making. One area of notable impact is clinical trials where data from observational studies and advanced analytics techniques have helped accelerate drug approvals. However, transforming real-world data into novel insights requires a modern, scalable analytics platform that can handle diverse health data. Join this virtual workshop to learn how to bring togeth...

A data lakehouse combines the best of data warehouses and data lakes into a single, unified architecture that can serve all data use cases — including BI, streaming analytics, data science and machine learning. In this workshop, you’ll get an overview of how Databricks enables you to build a lakehouse architecture that delivers data warehouse performance with data lake economics, all powered by open source technologies. Join us at...

Enhance public services and citizen experiences with Data + AI Innovations in data and AI are changing the way public services are delivered — from optimizing supply chains to mitigating threats and fraud. Entity analytics offers the most promising use of big data, empowering teams to connect the dots between various entities to uncover insights that deliver transformative outcomes. However, the challenge of disambiguating people, things...