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Watch On-Demand: Building data applications faster in financial services with a universal semantic layer

  • Ensemble AI

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Cube's VP of Strategy & Alliances, Brian Bickell, Ensemble AI's Co-Founder & CEO, Benjamin Wootton, and Cube's Partner Solutions Architect, Tony Kau recently led an insightful webinar on strategies for building data applications swiftly within financial services through a universal semantic layer, specifically discussing Cube's role. Here are the key points from the session:

1. The Growing Need for Data and the Challenges

Brian Bickell acknowledged the expanding necessity for data within organizations and its challenges. He highlighted the role of Cube, a universal semantic layer that helps manage data and enables rapid access to it. He reinforced the value of data applications, also mentioning solutions provided by Cube Cloud.

2. Using Cube to Solve Industry Challenges

The financial industry faces certain issues like hurdles in accessing valuable data, complex technology stacks, inconsistent business definitions of data, and legacy systems without clear APIs. Benjamin Wootton emphasized the role of Cube here. Strategic applications of Cube, such as providing GraphQL and REST APIs, centralizing API management, offering integrated caching layers, and providing access control features, can help financial companies navigate these challenges effectively.

3. The Art of Building Real-Time Data Applications with CUBE

Benjamin Wootton expanded on how real-time data applications could be built using Cube. This includes data modeling, constructing semantic layers, and utilizing component-based frameworks. He also demonstrated how Cube simplifies processes using technologies like Kafka, websocket transportations, and streaming, eliminating the need for regular page refreshes.

4. Focus on Security and Compliance

The feature of controlled data access and having a governed API are security aspects that Benjamin highlighted during the discussion about Cube. Tony Kau reinforced Cube's ability to serve as a single source of truth for access control and discussed the flexibility in implementing security protocols like row-level security, column-level security, data masking, and switching data sources.

5. Cube in Real-Time Use Cases and Its Compatibility with Other Products

Benjamin explained how Cube technology enables innovation with data while upholding security compliance, making it suitable for financial services. Cube’s compatibility with other data-centric products was touched upon, with Brian Bickell mentioning its integrations with solutions like Dremio and Starburst, enabling a multi-data engine scenario.

This webinar illustrated the significance of data applications in the financial industry. Brian, Benjamin, and Tony's compelling insights promise to guide financial services professionals to better optimize performance, enable real-time data applications, and provide a consistent data experience across various use cases.

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