What if you could eliminate hours of dashboard work and manual ad hoc analysis by seamlessly integrating AI and predictive technologies? Join the upcoming webinar “Automating BI: Breaking Down Bottlenecks with Artificial Intelligence”, to learn how the combined technologies work together to: Accelerate time-to-value Uncover data insights in record time Answer questions with data-backed answers at the speed of business Join Peter Ma...

Join Databricks for this informative session about leveraging large language models (LLMs) across your engineering and service operations in manufacturing, high tech, transportation and energy. We will discuss their applications in natural language processing, machine translation, text summarization, sentiment analysis and more. By attending this webinar, you will: Gain a deep understanding of LLMs and their capabilities in handling large-scal...

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...

Use new capabilities in Databricks Notebooks to speed up innovation. This webinar will walk you through the features that are designed to take the manual effort and delays out of building and deploying data and AI projects. You’ll find out how you can: Explore data faster with LLM-powered Databricks Assistant Develop productively with new editor features and debugging tools Share your work easily with Git and Unity Catalog

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...

Join our technical workshop on building a 360-degree view of your customers, products and partners — the second of a two-part series on customer 360. During this event, we will dive into the intricacies of establishing customer identity and matching customer-identifying information between data sources. We will then take a look at how Amperity, a leader in customer identity resolution, tackles this problem as part of the Databricks Custo...

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...

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...