In the rapidly evolving landscape of data management, data warehousing continues to be a cornerstone for businesses seeking to harness the power of their data assets.
As organizations increasingly rely on data-driven insights to guide strategic decisions, the latest trends in data warehousing reflect a shift toward more sophisticated, scalable, and secure solutions.
At the recent Data + AI Summit, data and AI leaders came together to discuss trends shaping the future of data and new technologies that are enabling organizations to improve the efficiency and accessibility of data. Here are a few of the top sessions:
Top 5 Data Warehousing Sessions from Data + AI Summit 2024
Introduction to AI/BI Genie- A New Conversational Analytics Experience for Business Users
Speakers: Hanlin Sun, Chao Cai
As a busy data professional, you're probably getting far more requests to answer questions and build visualizations than you have time to actually handle. Databricks AI/BI Genie mitigates this problem through a new conversational analytics experience for business teams to self-serve by asking ad hoc questions directly on their data. In this talk we will cover what AI/BI Genie is, how it can help, and explore some best practices to set up a Genie for your business users. Watch on-demand.
Data Warehousing Performance, Scale and Security with Databricks SQL
Speakers: Alex Esibov, Jeremy Lewallen
Data warehousing in enterprise and mission-critical environments needs special consideration for price/performance and security. In this session, we will show how Databricks SQL addresses the most challenging requirements for high-concurrency, low-latency performance and managing user identity, access and governance at scale. We will also cover the latest advancements in resource-based scheduling, autoscaling, and caching enhancements that allow for seamless performance and workload management. Watch: Data Warehousing Performance, Scale and Security
Deeper BI Integrations with Databricks SQL
Speakers: Jade Wang, Can Efeoglu
BI integrations with Databricks SQL and tools like Power BI and Tableau have evolved to offer a seamless integration experience without leaving Databricks. You can now directly connect your Databricks workspace with Fabric and Power BI workspaces or Tableau to publish and sync data models, with defined primary and foreign keys, between the two platforms. Join this session to learn more about these advanced features along with the latest updates on drivers, connectors and the rich partner ecosystem around Databricks SQL. Watch: Deeper BI Integrations with Databricks SQL
What's New in Databricks SQL with Live Demos
Kent Marten, Patrick Yang
Check out live demos on Databricks SQL for data warehousing on Databricks. Learn how the simple streamlined interfaces are making it easier for analysts, developers, admins and business users to get their jobs done and questions answered. We'll show how easy it is to create a warehouse, get data, transform it and build queries and dashboards. We'll also show the latest features including the new AI assistants for coding and dashboards, performance optimizations with serverless infrastructure, and observability with our new system tables. Watch: What's New in Databricks SQL with Live Demos
Using Databricks SQL for Data Warehousing and Analytics
Pearl Ubaru, Mohan Mathews
An introductory workshop that has been designed for administrators, data consumers (data analysts, SQL users) to provide a foundational understanding on what and how to leverage Databricks SQL. In this follow-along deep dive, we will cover how to:
- Setup Databricks SQL serverless warehouse
- Ingest your data into the lakehouse
- Explore and transform your data using standard SQL
- Create rich visualizations for dashboards
- Use AI functions like LLMs on your warehouse
- Govern your data warehouse with Unity Catalog
Watch: Using Databricks SQL for Data Warehousing and Analytics
Explore the catalog of breakouts, deep dives, lightning talks and paid training now. https://www.databricks.com/dataaisummit/agenda?track=data-warehousing-analytics-and-bi&page=1