Databricks SQL has added significant features in the last year at a fast pace. This session will share the most impactful features and the customer use cases that inspired them. We will highlight the new SQL editor, SQL coding features, streaming tables and materialized views, BI integrations, cost management features, system tables and observability features, and more. We will also share AI-powered performance optimizations.

Join this session to learn how Databricks SQL Serverless warehouses use ML to make large improvements in price-performance for both ETL and BI workloads. We will demonstrate how they can cater to an organization’s peak concurrency needs for BI and showcase the latest advancements in resource-based scheduling, autoscaling, and caching enhancements that allow for seamless performance and workload management. We will deep dive into new features such as Predictive I/O and Intelligent Workload Management, and show new price/performance benchmarks.

Talk by: Gaurav Saraf, Mostafa Mokhtar, and Jeremy Lewallen

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksin

Supplying users with the most relevant data is a time-consuming challenge. By combining the power of dbt with machine learning (ML) analysis, companies are able to focus on the most relevant segments in the data that have the greatest impact on key metrics and how they change over time. Leveraging the Sisu Decision Intelligence Engine, dbt users, analysts, and data scientists focus their efforts where they have the greatest impact. Sisu's AI/ML-powered automated analytics identifies relevant data and predicts changes, helping focus data exploration, speed insights, and drive successful outcomes.

Check Notion document here: https://www.notion.so/6382db82046f41599e9ec39afb035bdb

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.