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Migrating to Databricks on AWS from On-Premises or Other Cloud Vendors

Our Databricks On-Premises to Cloud Migration solution enables organizations to seamlessly transition from legacy on-premises systems like SQL Server and Oracle to the Databricks Lakehouse Platform built on AWS. Redesign your data model with a robust cloud based and infrastructure solution with minimal downtime while setting the foundation for future-ready data and AI use cases.

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About

Data Lakehouse Jumpstart Program on AWS Marketplace

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 providing a roadmap for future initiatives.

Key Features

Leverage zeb’s Migration Accelerators

Utilize zeb's suite of prebuilt AI-powered accelerators to automate:

Schema replication

Data mapping

Data ingestion

Data transformation and validation

Gain efficiency during migration through automated code generation.

AI and ML Foundation

The Databricks Lakehouse solution on AWS provides a unified platform for AI and analytics.

Combines the scalability of data lakes with the performance of data warehouses.

Supports end-to-end workflows for ETL, machine learning, and BI using Delta Lake and MLflow.

Enables seamless integration of AI workloads with analytics, unlocking deeper insights and fostering innovation.

Data Security & Governance

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.

Data Foundation on AWS and Databricks

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.

Deliverables

Tailored Migration Strategy

A customized migration strategy tailored to your existing on-premises or other cloud-based systems (SQL Server, Oracle).

Ensures compatibility with Databricks' Delta Lake architecture.

Includes automated schema mapping, data validation, and performance optimization.

Implements a new data model for a seamless transition.

Redesign Data Model

As part of the migration, we analyze bottlenecks and pain points in your current data model.

Design a new data model that aligns with your business goals and objectives.

Enables better data management, access, and reporting.

Future-State Architecture Diagram

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

Genie and Unity Catalog 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 their data conversationally, democratizing analytics and simplifying reporting use cases.

Enhances usability and governance within the Delta Lakehouse environment.

Estimating Total Cost of Ownership (TCO)

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

Established Data Foundation Using 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.

Timeline

The Databricks Migration Program is expected to last approximately 4-12 weeks, depending on:

The volume of data

The availability of your project sponsors and technical teams

Next Steps

Our typical next steps include:

Showcasing previously implemented solutions.

Submitting a proposal for implementation services, including:

Future-state architecture recommendations

Technical design and implementation

Testing and production cut-over

Get started today and accelerate your data migration journey with AWS and Databricks!

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