Oracle Data Warehouse to Databricks Migration: 4-Week MVP

Oracle's Data Warehouses on-premises or on-OCI, Exadata Database Service, and Autonomous Databases have long been a cornerstone for meeting enterprise business requirements with their high performance, reliability, and robust transactional processing capabilities. However, for complex enterprise workloads they can present challenges such as high licensing costs, limited scalability, limited support for deriving insights from unstructured data, and constraints in integrating with advanced AI/ML use-cases and agents.

Azure-Databricks overcomes these challenges by providing a scalable, unified, AI-infused Data Intelligence Platform that seamlessly integrates data engineering, BI-analytics, and AI-ML, while ensuring enterprise-grade security, governance, and cost efficiency within the Azure ecosystem.

WinWire MVP Solution

WinWire collaborates with enterprises from envisioning to realization of Databricks’ transformative analytics platform, leveraging the Lakehouse architecture, data integration, real-time analytics, AI-ML, GenAI, unlocking the potential of AI for data-driven decision-making – all the while meeting stringent and unified governance needs. For driving efficiency and accelerating time-to-value for our clients, we are offering this MVP where in just 4 weeks, we set up the Azure-Databricks environment with access control, ingest two targeted datasets, load historical data into the Lakehouse, build out two meaningful dashboards with their semantic models, and lay the blueprint for future growth.

WinWire Accelerators

WinWire’s Migration-as-a-Service (MaaS) framework and metadata driven automation of Data Ingestion and Data Quality (DIDQ) tools are leveraged to modernize and migrate Oracle data and analytics landscape to Azure-Databricks efficiently by bringing together well-defined processes and toolsets leading to a significant saving of up to 30% cost and 25% faster migration.

Deliverables

Assessment Report: Analysis of current Oracle Data Warehouse landscape including workload inventory, dependencies, sizing, prioritization and risks

Architecture Blueprint: Guidance on storage, computing, network, security, and governance.

MVP Data Platform: Medallion Lakehouse/Databricks SQL, LakeFlow/DLT/Workflows, industry leading visualization tools like Power BI/Tableau, self-serving readiness with Databricks AIBI.

Infrastructure Setup: Azure-Databricks workspace, services and access control setup for the MVP.

MVP Migration: UAT and production ready data pipeline and report-dashboard.

Demonstration and Training: Usage guidance and unlocking doors to AI agents.

Enterprise Rollout Plan: Roadmap and scaled execution plan to Azure-Databricks

Business Value Summary: TCO and ROI

Benefits

Governance-first Foundation: Natively integrated security and governance with Azure ecosystem and Databricks Unity Catalog

Tailored to Business: The MVP caters to your specific data, KPIs, and business goals

Platform Readiness: Get a working cloud-native Azure-Databricks environment in only 4 weeks with actionable insights

Scalable Solution: Establish a scalable, high-performance solution to handle growing data volumes

Lower Risk of Migration: With fact-based automated assessment of Oracle estate and dashboard-based tracking

Leverage our rapid 4-Week MVP solution and experience the value of rapid insights while migrating from Oracle Data Warehouse to Azure-Databricks.