Databricks Lakehouse is defining the future by introducing higher collaboration between data teams, simplicity in data workflows, and flexibility in the overall data architecture. Join Databricks and Royal Cyber for an in-person event to learn how you can use open-source technologies like Apache Spark™ and Delta Lake to build a high-functioning data lakehouse.
In this seminar, you will learn about the changing trends in SaaS businesses and their customers’ buying patterns in a consumption-based world. Hear from Databricks experts on lessons learned in building a technology company and how to provide data-driven customer experiences, and gain deeper insights to forecast and accelerate sales. We will also explore use cases such as leveraging DS/ML on your single source of truth to predict and avoid customer churn and to build greater visibility into prospects’ buying propensity with architecture guidance.
The data lakehouse is a simple, open and efficient data architecture that combines the best of data warehouses and data lakes on one platform. The lakehouse brings analytics, business intelligence, data science and machine learning together to enable faster decisions and predictions at scale. Join Databricks and AWS to learn how to leverage best practices for implementing a complete data analytics, data engineering and data science lifecycle on the lakehouse with Databricks on AWS.
Join this interactive hands-on workshop to learn how Databricks SQL allows you to operate a multicloud lakehouse architecture that delivers data warehouse performance at data lake economics — with up to 12x better price/performance than traditional cloud data warehouses. Now data analysts and scientists can work with the freshest and most complete data and quickly derive new insights for accurate decision making.
Learn how to support all your real-time streaming use cases to ingest data from various sources. Databricks and Confluent together can help you land data directly into the lakehouse with a simplified architecture to accelerate your business operations and customer experiences.
Databricks and Fivetran bring you an automated data integration solution on the data lakehouse, unifying all your data on a single platform so you can do analytics, BI, and AI instead of worrying about data pipeline management. Join us at a live, hands-on workshop for a step-by-step guide to build automated data pipelines on the lakehouse with Fivetran and Databricks.
NRF is the retail industry's largest gathering of leaders, visionaries, and industry experts. This in-person event features 50+ keynotes, educational programming, an enormous Expo featuring the latest retail solutions, and after-hours events to make this 3 days to never forget. Visit Databricks at booth 5339 on Level 3 and request a meeting with a Databricks expert at NRF today!
The data lakehouse is a simple, open and efficient data architecture that combines the best of data warehouses and data lakes on one platform. The lakehouse brings analytics, business intelligence, data science and machine learning together to enable faster decisions and predictions at scale. Join Databricks and Microsoft to learn how to leverage best practices for implementing a complete data analytics, data engineering and data science lifecycle on the lakehouse with Azure Databricks.
Building your lakehouse with Photon will fuel extremely fast performance while optimizing costs. This next-gen vectorized query execution engine outperforms existing data warehouses in SQL workloads and implements a more general execution framework for efficient data processing with support of the Apache Spark™ API. During this session we will deep dive into Photon, covering how it works and sharing use case guidance. You’ll also have an opportunity to get hands-on, to better understand how to improve performance with Photon, monitor performance and reduce cost.