Databricks Solution Accelerators
Service · Implementation & integration · Finance & accounting by Databricks
Purpose-built guides and pre-built code to move from idea to proof of concept in weeks.
It is ideal for enterprises looking to rapidly deploy industry-specific data and AI solutions using proven frameworks and partner expertise.
- Languages
- English
Category: IT Consulting
- Duration
- As little as two weeks for a proof of concept
- Typical PoC Duration
- 2 weeks
- Content Format
- Functional Notebooks, Modular Frameworks, Guides
- Platform Compatibility
- Databricks Data + AI Platform
- Cloud Environments
- AWS, Azure, Google Cloud
- Partner Network Size
- Thousands of partners worldwide
- Access fully functional notebooks and purpose-built guides
- Leverage pre-built code and modular frameworks from leading partners
- Purpose-built for industries including Financial Services, Retail, and Public Sector
Overview
Databricks Solution Accelerators are implementation services and resources designed to fast-track the deployment of data, analytics, and AI use cases on the Databricks Data + AI Platform. These accelerators consist of purpose-built guides, fully functional notebooks, and best practices that help organizations bypass lengthy discovery and design phases. By leveraging pre-built frameworks developed by Databricks and its global network of consulting partners, customers can often move from a concept to a proof of concept (PoC) in as little as two weeks. The service covers a wide range of industry-specific needs, including financial crime defense, promotion price optimization, and legacy system migrations. It is delivered through a combination of Databricks' technical resources and Brickbuilder Solutions from partners like Accenture, Deloitte, and Capgemini. This approach allows technical teams to focus on extracting value from data rather than building infrastructure from scratch.
Implementation Acceleration
- Purpose-built guides: The accelerators provide purpose-built guides and fully functional notebooks to speed up results for data and AI projects.
- Rapid PoC delivery: Databricks customers can move from an initial idea to a proof of concept in as little as two weeks.
- Development efficiency: The service helps organizations save hours of discovery, design, development, and testing.
- Best practices integration: Accelerators include best practices to help customers unlock the full potential of the Databricks Data + AI Platform.
Partner Solutions and Frameworks
- Partner-developed frameworks: The program packages the experience and knowledge of leading consulting partners into modular frameworks and custom services.
- Proven deployments: Solutions are based on a foundation of proven customer deployments to ensure reliability and productivity.
Industry-Specific Use Cases
- Public Sector solutions: The Child Universal Success Platform and Dark Light Cyber + AI Solution are available for government and public sector needs.
- Financial Services tools: Specialized accelerators for financial services include The Lakehouse Optimizer and tools for migrating legacy cards and core banking portfolios.
- Retail optimization: Retail and consumer goods companies can utilize the Promotion Price Optimization accelerator.
- Communications accelerators: The AI Factory and other communications-specific guides help telecom companies scale their data initiatives.
Deliverables
- Fully functional notebooks, purpose-built guides, pre-built code, modular frameworks
How it works
- Discovery, design, development, and testing using pre-built frameworks and partner expertise
Published results
- Idea to proof of concept in as little as two weeks
Use cases
- Financial institutions use the Lakehouse Optimizer to improve data performance and reduce operational costs.
- Retailers implement Promotion Price Optimization accelerators to quickly develop data-driven pricing strategies.
- Public sector organizations deploy the Child Universal Success Platform to manage social service data more effectively.
- Data engineering teams use Lakehouse Onboarding Accelerators to speed up the migration of legacy data workloads.
- Security teams leverage the Dark Light Cyber + AI Solution to automate threat detection and response.
Specifications
- Duration
- As little as two weeks for a proof of concept
- Industries served
- Public Sector, Financial Services, Retail and Consumer Goods, Communications, Healthcare and Life Sciences, Manufacturing, Media & Entertainment, Technology and Software, Energy, Travel and Hospitality
- Typical PoC Duration
- 2 weeks
- Content Format
- Functional Notebooks, Modular Frameworks, Guides
- Platform Compatibility
- Databricks Data + AI Platform
- Cloud Environments
- AWS, Azure, Google Cloud
- Partner Network Size
- Thousands of partners worldwide
- Solution Types
- Brickbuilder Solutions, Brickbuilder Accelerators
How it works
- Select a Solution: Select an accelerator or solution that aligns with your specific industry use case or technical methodology.
- Deploy Frameworks: Utilize the purpose-built guides and fully functional notebooks to bypass lengthy discovery and design phases.
- Implement and Test: Work with Databricks or a certified consulting partner to implement the pre-built code and modular frameworks.
- Achieve Proof of Concept: Transition from the initial concept to a functional proof of concept (PoC) within a typical two-week timeframe.
FAQ
How long does it take to build a proof of concept?
Many Databricks customers are able to go from an initial idea to a proof of concept (PoC) in as little as two weeks using these accelerators.
What is the difference between Brickbuilder Solutions and Accelerators?
Brickbuilder Solutions are end-to-end lakehouse solutions for migrations and industry use cases, while Brickbuilder Accelerators are pre-built code and frameworks for implementing specific methodologies or Databricks capabilities.
Who develops these partner solutions?
Databricks collaborates with leading consulting and system integrator partners, including Accenture, Deloitte, Capgemini, and KPMG, to develop these solutions.
Added by AntSpace from public sources (databricks.com).