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Neudesic's
Databricks Lakehouse Accelerator

Built in partnership with:
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Level up your business insights with
pre-configured cloud analytics solutions
deployed end-to-end in less than 30 days.

Request a Demo

Take the Next Steps Toward
End-to-End Enterprise Data Modernization

Neudesic's Databricks Lakehouse Accelerator makes it faster and simpler for organizations to use real-time data. Using a special framework based on Azure Databricks Lakehouse, it addresses tough data challenges to help customers process a lot of data quickly and safely, leading to better, faster decisions.

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Data Governance with Unity Catalog
Provides cataloging and lineage capabilities throughout the metadata-driven data process

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60% Faster Time to Business Value
Accelerate proof of concepts

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50% Faster Initial Deployment
Pre-built configurations with CI/CD-enabled deployment framework

Delivery Process

In Discovery and Design, we meticulously define project objectives, data sources, and implementation plans. During the Develop phase, our expert team transforms these plans into reality, while the Deliver phase’s rigorous testing, performance assessment, and comprehensive documentation ensures a seamless project handoff.

diagram, data lakehouse delivery process. 1. Discovery and Design 2. Development 3. Deliver

Discovery and Design

  • Identify use cases and data sources
  • Define success criteria and measurable objectives
  • Create implementation plan
  • Set up environment

Develop

  • Implement architecture
  • Transform data and validate quality
  • Gather stakeholder and user feedback
  • Test proof of concept

Deliver

  • Assess operational dashboards
  • Review performance and scalability
  • Provide written outcomes, lessons, and improvements
  • Provide documentation and training
icon-discovery

Discovery and Design

  • Identify use cases and data sources
  • Define success criteria and measurable objectives
  • Create implementation plan
  • Set up environment
icon-design-black

Develop

  • Implement architecture
  • Transform data and validate quality
  • Gather stakeholder and user feedback
  • Test proof of concept
icon-develop-black

Deliver

  • Assess operational dashboards
  • Review performance and scalability
  • Provide written outcomes, lessons, and improvements
  • Provide documentation and training

Key Benefits

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Enterprise Grade Solution

  • Pipeline automation
  • Logging capabilities across resources
  • Built-in monitoring, alerts, and notifications
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Automation and Efficiency

  • Metadata-driven platform deployment
  • Infrastructure-as-Code- related pipeline automation
icon-data-governance

Security and Compliance

  • Databricks Unity Catalog
  • Central repository to control access to data

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