Self Service Reporting using Databricks

As an AWS Premium Tier Partner, zeb is excited to present our Data Lakehouse Jumpstart program on the AWS Marketplace. This solution provides an opportunity to assess your existing data platforms and transition them to a cloud-based data solution on AWS and Databricks, rapidly demonstrating value and laying out a roadmap for future initiatives.

• Our tailored AI solution for ad hoc reporting leverages Databricks' AI/BI Genie and Databricks Apps to enable users to generate instant insights using semantic and natural language queries.

• Deploy the solution on Teams or Slack for seamless collaboration and easy interaction with the AI system.
• Effortlessly transfer data from Slack to Databricks for analytics and reporting, automating tasks and reducing manual intervention.

• Implement a robust Medallion Architecture (Bronze/Silver/Gold layers) on an AWS S3-based Delta Lake.
• Improve data structure, foundation, semantic models, quality assurance, and performance optimization post-migration.

• The Data Foundation Layer in the Databricks Delta Lakehouse efficiently organizes and manages raw data.
• Ensures reliable ingestion from legacy systems (SQL Server, Oracle) into Delta Lake, supporting schema enforcement and evolution.
• Provides a scalable, unified platform to enable seamless ETL pipelines and future-ready AI/ML use cases.

• Quickly build interactive dashboards leveraging Databricks dashboards using drag-and-drop user interfaces.
• Enable teams to explore and share data insights across various teams.

• AI/BI Genie continuously learns from user interactions, improving its understanding of organizational data semantics.
• Leverages Databricks' RAG (Retrieval-Augmented Generation) capabilities from the Data Foundation and other data sources.

• Outlines the planned technological framework and AWS components envisioned for implementation.

• Unity Catalog provides centralized governance with fine-grained access controls, ensuring security and compliance across all data assets.
• AI/BI Genie enables users to interact with data conversationally, democratizing analytics and simplifying reporting.
• Enhances usability and governance within the Delta Lakehouse environment.

• Utilize our pre-configured AWS Pricing Calculator for precise operational expense projections related to AWS and Databricks.

• Forms the base for organizing and managing raw data efficiently.
• Ensures reliable ingestion from legacy systems (SQL Server, Oracle) into Delta Lake.
• Supports schema enforcement and evolution, enabling scalable ETL pipelines and future-ready AI/ML use cases.

The Databricks Self-Service Reporting Program is expected to last approximately 4-5 weeks, subject to the availability of your project sponsors and technical teams.

Our typical next steps include:

1. Showcasing previously implemented solutions.
2. Submitting a proposal for implementation services, including:
   • Future-state architecture recommendations
   • Technical design and implementation
   • Testing and production cut-over

Get started today and unlock the full potential of your data with AWS and Databricks! Democratize Data and Insights to the Rest of the Organization: Reduce reliance on IT teams by enabling self-service capabilities for non-technical users via semantic and natural language queries ensuring reduced operational overhead creating redundant reports, with efforts being directed to more meaningful reporting initiatives.