Data sharing is crucial to drive business value in today’s digital economy. Organizations are looking to securely share data with their partners/vendors, internal line of business, and generate revenue streams with data monetization. Databricks Delta Sharing empowers organizations to seamlessly and securely share and consume live data without the limitations enforced by vendor-specific sharing networks or constraints of legacy delivery s...

Organizations must embrace the cloud to harness all their data and leverage AI. But many still have their 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 Platform — a simple, open and collaborative platform for all your data, analytics and AI need...

Whether it’s enhancing homeland security or building smarter civilian programs, data analytics is the primary driver for digital transformation within the government. A recent McKinsey study estimates data could create value worth $1.2 trillion a year in the Public Sector. However, federal agencies and local governments alike continue to struggle with data silos, the expense of maintaining complicated data architectures, reduced time-to-...

In this workshop, we’ll cover best practices to help organizations use powerful open source technologies so you can build and extend your Azure investments and make your data lake analytics-ready. You’ll learn about the advantages of cloud-based data lakes in terms of security and cost. And finally, you’ll learn how data professionals are having a huge impact – lowering costs, changing time to market — and even re...

Machine learning enables organizations to make more informed decisions and predictions at record speed. Cloud computing enables you to tap into a wider variety of data sources to improve the accuracy and speed of these predictions. Join Databricks and Microsoft to learn how to leverage Azure best practices for implementing a complete data science lifecycle, enabling data teams to scale effectively using Azure Databricks, MLflow and other Azure...

The world has changed. Every industry — from retail to healthcare — has felt the impact of the global pandemic. The time to transform is now — and data is the key. Join our second annual Industry Leadership Forum to hear from industry analysts, data leaders and their teams across six major industries. You’ll hear how they’re tapping into the power of data, analytics and machine learning to drive the next era of in...

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...

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...