Unlocking the Value of Data Sharing in Financial Services with Lakehouse
Description
The emergence of secure data sharing is already having a tremendous economic impact, in large part due to the increasing ease and safety of sharing financial data. McKinsey predicts that the impact of open financial data will be 1-4.5% of GDP globally by 2030. This indicates there is a narrowing window on a massive opportunity for financial institutions and it is critical that they prioritize data sharing. This session will first address the ways in which Delta Sharing and Unity Catalog on a Databricks Lakehouse architecture provides a simple and open framework for building a Secure Data Sharing platform in the financial services industry. Next we will use a Databricks environment to walk through different use cases for open banking data and secure data sharing, demonstrating how they will be implemented using Delta Sharing, Unity Catalog, and other parts of the Lakehouse platform. The use cases will include examples of new product features such as Databricks to Databricks sharing, change data feed and streaming on Delta Sharing, table/column lineage, and the Delta Sharing Excel plugin to demonstrate state of the art sharing capabilities. In this session, we will discuss secure da…
Description from YouTube. Full content on the video page.
More from Databricks
ReleasesDatabricks launches across the Data + AI stack in 90 seconds
Databricks announced LTAP to unify lakebased and lakehouse data, eliminating ETL and enabling a single copy of data for analytical and operational needs. They also introduced Unity AI Gateway for governance, Genie Ontology for enterprise knowledge graphs, and open-sourced Omniant for managing multiple coding agents.
ReleasesIntroducing Omnigent: The Ultimate Meta-Harness for AI Agents
Omnigent is a new open-source meta-harness for AI agents that provides a unified interface for composition, control, and collaboration across multiple models and agent workflows. It enables stateful, data-centric policies for guardrails and allows real-time sharing and steering of live agent sessions with teammates.
NewsHow DEFRA and Natural England Accelerate Peatland Restoration with AI and Databricks
DEFRA and Natural England utilize AI and Databricks to accelerate peatland restoration by automating the mapping of peatland features and peat dams across England. This technology significantly reduces the time required for mapping, enabling faster identification and restoration of these crucial carbon-storing habitats.
NewsAI Stack Explained in 3 Layers (LLM, Agent Harness, Omnigent)
The AI stack now includes a third layer, the meta harness, which sits above individual agent harnesses. This meta harness, exemplified by Databricks' open-sourced Omnigent, allows for routing queries to appropriate agents and orchestrating tasks across multiple agents, enabling seamless interaction and context sharing between them.
NewsWhat’s coming next to Free Edition
Databricks announces the availability of Genie, GPUs, Agent Hooks, Lakehouse, and Lake Flow Designer on its Free Edition. This update provides virtually all of Databricks' production platform features for free, enabling users to learn and build data and AI projects.
