Discover how your organization can unleash the potential of data and AI today. Join your peers at our Healthcare & Life Sciences Symposium to learn how leading organizations are delivering innovative use cases with a modern data lakehouse in the cloud. You’ll have the opportunity to hear interactive customer presentations and discussions on a wide range of topics including population health management, precision health, and administr...

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...

AI adoption has more than doubled in the last year, with 92% of Fortune 1000s planning to increase their investments in 2022. AI is no longer an experimental curiosity—it’s table stakes for modern organizations. But Gartner reports that across industries, AI maturity isn’t keeping up with interest. How do you take full advantage of AI—and ensure you’re doing it responsibly? We’re going on tour with AWS, Data...

The Fortune 1000 are planning to increase their AI and Machine Learning investments in 2022 and beyond across all industries and sectors. Rapid AI advances are enabling supply chain efficiency, capital markets agility, energy resilience, marketing performance, reshaping the pharmaceutical value chain, and triggering advances in medical treatments. AI predictive analytics and decision-making support will transform entire industries and generate...

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...

Confluent, AWS, Databricks, and MongoDB are coming to New York. Today’s customers expect real-time data from businesses. To rise to these expectations, modern organizations are deploying data streaming technology, the most popular of which is Apache Kafka. Join us to talk through what “a day in the life” of data professionals who work with Kafka looks like now, and what Confluent’s cloud-native, Kafka-based platform can...