Events
Learn more about Databricks events and the Data+AI Summit
The data lakehouse is the future for modern data teams seeking to innovate with a data architecture that simplifies data workloads, eases collaboration, and maintains the flexibility and openness to stay agile as a company scales. The Databricks Lakehouse Platform realizes this idea by unifying analytics, data engineering, machine learning and streaming workloads across clouds on one simple, open data platform. In this session, learn how the Databricks Lakehouse Platform can meet your needs for every data and analytics workload, with examples of real-customer applications, reference architectures and demos to showcase how you can create modern data solutions of your own.
The first ever North East Databricks meet-up held at the National Innovation Center for Data and hosted by Thor List, Senior Manager, Field Engineering. This event is open to Databricks experts, people who are totally new to the platform, or anyone who is enthusiastic about data.
Join us in this 45 minute session to hear from Asia's largest insurance company on their data transformation. We will also be discussing key trends shaping the data and analytics landscape and providing examples of best data practices specific to maximizing your data, BI and AI investments.
Are you eager to gain insights from industry leaders in data and AI within the Financial Services and Insurance sector? Join us for a joint webinar with our partner, DataSentics, an Atos company, for an upcoming webinar on Hyper-Personalization in FSI. Discover real-world examples of how to enhance customer engagement and drive business outcomes. Don't miss this opportunity to learn from the best!
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.
On March 7, Databricks is hosting a Government Symposium in Washington, DC, focused on the critical role of data, analytics and AI within the public sector. We hope you’ll join us. In addition to networking with industry peers, you’ll hear from data leaders and innovators from agencies across the public sector speaking to the big data challenges they’re solving and the government-specific use cases they’re investing in across their data estate.
In this session, you will learn how to build and deploy a declarative streaming ETL pipeline at scale with DLT, how DTL automates complex and time-consuming tasks like task orchestration, error handling, recovery and auto-scaling with performance optimizations. Finally, we will show you how DLT enables data teams to deliver fresh, up-to-date data with built-in quality controls and monitoring ensuring accurate and useful BI, Data Science and ML.
Join us to find out how the lakehouse architecture unifies your data, analytics, and AI, combining the best of data warehouses and data lakes on one simple platform. Built on an open and reliable data foundation that efficiently handles all data types, the lakehouse applies one common security and governance approach across all your data and cloud platforms. We’re coming to a city near you. Find out more about your local event.
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.
Personalization at scale is the next frontier for customer-driven organizations. See how leaders across industries are leveraging Lakehouse to create better relationships, build trust and increase engagement at massive scale.
