Azure Data Lakehouse & Analytics

Requirements for Implementation Service

Include a detailed agenda for implementation projects that are longer than a day and describe what engineering changes, technical artifacts, or other artifacts a customer can expect as outcomes of the engagement.

Project Timeline: 2 months

Scope or Work (optional, depends on your real needs)

1. Data Lake Foundation on Azure

• Architecture and deployment of Azure Data Lake Storage Gen2
• Design of raw, curated, and semantic zones (multi-layered architecture)
• Support for Delta Lake or open table formats (Apache Iceberg, Parquet)

2. Data Ingestion & Orchestration

• Batch and real-time data ingestion using Azure Data Factory and Event Hub
• Metadata-driven pipelines for automation and scalability
• Source system connectors: SQL Server, SAP, APIs, IoT streams, etc.

3. Analytical Processing with Azure Synapse

• Synapse workspace setup and data integration
• SQL on-demand vs. dedicated pool optimization
• Materialized views, partitioning, and performance tuning
• Data modeling (Star Schema, Data Vault, or hybrid approaches)

4. Business Intelligence with Power BI

• Dataflows and semantic model design
• Interactive reports and executive dashboards
• Row-level security and workspace governance
• Integration with Microsoft Teams and Excel

5. Governance & Security

• Implementation of Microsoft Purview for cataloging and lineage
• Data masking, RBAC, and Key Vault integration
• Compliance frameworks (GDPR, ISO 27001, HIPAA- ready)

6. Optimization & Enablement

• Cost control with tiered storage, workload sizing, and monitoring
• CI/CD automation via Azure DevOps
• Users training

Why Work With Us?

• Certified architects, engineers, and Power BI professionals
• From architecture to visualization and user adoption
• Get started faster with reusable frameworks
• Finance, Manufacturing, Retail, Healthcare, and more

Sample Engagement Outcomes

• Migration of legacy DWH to scalable Azure Synapse + ADLS (Azure Data Lake Storage) solution: Pay-As-You-Go model
• Company-wide KPI dash-boarding in Power BI with role-based access
• Near real-time analytics for operational decision-making
• Modern data governance setup with full lineage and classification’