In this live workshop, we’ll cover best practices that bring reliability, performance and security to your data lake and provide the perfect foundation for a cost-effective, highly scalable lakehouse architecture. You’ll learn about the advantages of cloud-based data lakes in terms of security and cost, and how to enable SQL analysts to easily access data in your data lake for reporting and visualization. You will also hear from ou...

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...

Data teams want to work with data as soon as it’s available — whether it’s batch, real-time or streaming. But much of this data comes at high velocity in a cloud data lake and needs cleaning up. And this cleanup often happens outside of data warehouses that are used for reporting and analysis. Working in this siloed architecture hinders analysts and SQL users in accessing valuable insights for business reporting. Watch to lea...

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...

Building the modern cloud data stack on the data lakehouse The world’s largest data and AI conference returns live, June 27-30 in San Francisco and virtually in our new hybrid format. Four days packed with keynotes by industry visionaries, technical sessions, hands-on training and networking opportunities. Highly technical content, presented by leading experts, plus a full slate of hands-on training workshops for everyone from data engin...

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...

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...

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-...