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...

Data engineers are the core of every data-driven organization — and their job has never been more challenging. Today’s data engineers are under pressure to ensure a growing supply of clean, reliable data, maintain governance and security as the organization scales, and allow data teams to access the data they need for analysis. Join us to hear from customers who are achieving success by modernizing their tech stack with cloud data...

The future is open Data + AI Summit is the global event for the data community, where 100,000 practitioners, leaders and visionaries come together to shape the future of data and AI. Highly technical content, presented by leading experts, plus a full slate of hands-on training workshops for everyone from data engineers to data scientists and business leaders. Breakout sessions Data scientists, data engineers, analysts, developers, researchers...

In today’s digital world, data is created at a staggering rate. The more robust your government data architecture, the more rapidly you can collect, analyze and make effective decisions. Add the power of predictive analytics and the possibilities to drive value are endless. Despite increased investments, many agencies are struggling to modernize their data architecture. Join this session to learn how Databricks, the leader in data and AI...

Live free training on December 10 and 15 from 10:00 AM to 12:00 PM PT In this two-part free training webinar, we’ll explore the evolution of data management and look at Lakehouse, a new architecture that combines the best elements of data warehouses and data lakes. We’ll explain how this model enables teams to work in a unified system that provides highly performant streaming, data science, machine learning and BI capabilities powe...

Live free training on December 10 and 15 from 10:00 AM to 12:00 PM PT In this two-part free training webinar, we’ll explore the evolution of data management and look at Lakehouse, a new architecture that combines the best elements of data warehouses and data lakes. We’ll explain how this model enables teams to work in a unified system that provides highly performant streaming, data science, machine learning and BI capabilities powe...

The Federal Data Strategy and other recent IT modernization initiatives require government agencies to prioritize data analytics and artificial intelligence (AI). Unfortunately, many are still struggling to build a modern and secure analytics architecture. Azure Databricks, the leading data and analytics service from Microsoft and Databricks, was recently awarded FedRAMP High authorization. With Azure Databricks, government agencies can now un...

Enterprises today struggle with the complexity of maintaining both data lakes and data warehouses. They grapple with data silos that prevent a single source of truth, the expense of maintaining complicated data pipelines, and reduced decision-making speed. The answer to this complexity is the lakehouse, a platform architecture that implements similar data structures and data management features to those in a data warehouse directly on the low-...