AI has the power to address today's data management’s biggest challenges — performance, governance and usability — by offering a deeper understanding of your data and how it’s used. This is data intelligence and it’s transforming the way you query, manage, govern and visualize your data.
In this three-part series, explore how Databricks is revolutionizing data management and analytics. Through AI-powered data warehousing, cloud modernization, and streamlined ETL pipelines, learn how Databricks can help your organization scale cost-effectively and accelerate innovation.
Part 1: AI-Powered Data Warehousing
[Completed] 8 August, 8:30 IST | 11:00 SGT | 14:00 AEDT (90min)
Modern business requires agile decision-making with real-time data analytics. Innovation hinges on predictive insights generated from machine learning and AI. Discover how AI optimizes your data warehouse, enhancing query efficiency, governance practices, and user experience. Shape the future of your data warehousing as you scale to meet business growth and drive innovation on a unified data platform – Up to 12x better price/performance
Key Takeaways
- Optimize data warehouse performance with AI
- Enhance governance and usability
- Achieve better price/performance compared to other cloud solutions
Part 2: Cloud Modernization for AI-Ready Infrastructure
19 September, 8:30 IST | 11:00 SGT | 13:00 AEST (90min)
Discover how migrating to the Databricks Data Intelligence Platform can revolutionize your data infrastructure and address the challenges of legacy systems and cloud data warehouses. This advanced, cloud-based analytics solution integrates the benefits of data lakes and data warehouses, offering superior performance, governance, and machine learning support. With a focus on modernizing data infrastructure to support Generative AI and improve productivity, organizations can overcome the limitations of traditional SQL-first designs and experience over a 25% increase in efficiency. Learn about effective migration strategies, automation tools, and real-world case studies to guide your transition
Key Takeaways
- Streamline data management and reduce costs
- Boost performance, analytical capabilities and governance
- Effective migration tips and success stories
Part 3: Simplify ETL Pipelines with Data Intelligence
24 October, 8:30 IST | 11:00 SGT | 13:00 AEST (90min)
Intelligent data processing of the vast amounts of data generated by businesses is crucial for analytics and AI. Explore how you can implement a single solution for all your ETL use cases that automatically adapts to help ensure data quality with unified governance. Accelerate innovation by increasing your team’s productivity with a built-in, AI-powered intelligence engine that understands your data and your pipelines – reducing ETL pipeline SLAs from hours to minutes.
Key Takeaways
- Streamline ETL pipelines with a unified platform
- Support real-time analytics and machine learning
- Achieve significant reductions in ETL pipeline SLAs