Databricks Lakehouse Platform in 45 Days - Accelerated MVP Platform Fundamentals

Spyglass MTG's Databricks Lakehouse Platform DBXi45 delivers a streamlined 6-week implementation, swiftly establishing a secure, modern medallion Lakehouse platform in Azure. The approach integrates Azure Well-Architected principles and the Cloud Adoption Framework to ensure efficiency and scalability.

The solution includes dozens of prebuilt templates, an Infrastructure-as-Code (IaC) framework, code bases, toolkits, and other assets to ensure rapid deployment and integration.

Weeks 1 & 2: Design and Deliver

Design the medallion data process model and initial Lakehouse data product.

Define key metrics and success criteria to ensure the solution meets business needs

Weeks 3 & 4: Automate and Transform

Automate data ingestion and transformation activities in Azure Databricks via lakeflow connect and federation.

Utilize code repositories and a medallion data processing framework to streamline operations

Weeks 5 & 6: Monitor and Optimize

Monitor and optimize the performance, reliability, and scalability of the data pipeline and service.

Provide education and deliverables to ensure the client's team can maintain and extend the solution

Deliverables

The key deliverables of the project include:

Data Lakehouse Platform & Integration Landing Zone Deployment: A secure and scalable environment for data management.

IaC Source Code & Documentation: Comprehensive documentation and source code for future reference and scalability.

End-to-End Pipeline: Design and delivery of one Lakehouse end-to-end pipeline, including raw ingestion, cleaning, augmentation, and business-level aggregates