White paper

Data Modernization: Unifying Oracle, PostgreSQL and SQL Server Data with Qlik, Snowflake and Power BI

Critical data is often spread across Oracle, PostgreSQL and SQL Server systems, each with its own reports and definitions. This paper outlines a modern architecture that combines real-time integration, a governed cloud data platform and self-service visualization.

Data & Analytics10 min read Published May 20, 2025HNR Solutions

1Challenge

  • Scattered data: ERP on Oracle, operational apps on PostgreSQL and finance on SQL Server, with no single view of the business.
  • Conflicting numbers: each department builds its own extracts and spreadsheets, so meetings argue about whose data is right.
  • Stale reporting: overnight batch jobs leave dashboards a day behind and put load on production systems.
  • Limited scalability: on-premises reporting databases can't handle growing data volumes or support advanced analytics.

2Solution

We recommend a three-part modern data stack, chosen through a structured evaluation of integration, platform and visualization options:

Integrate: Qlik

Qlik Replicate captures changes from Oracle, PostgreSQL and SQL Server logs in near real time with very little load on the sources. Qlik's data-pipeline tooling automates warehouse modelling.

Store: Snowflake

Snowflake is the governed data lake and warehouse: separate storage and compute, elastic scaling, secure data sharing, and support for semi-structured data.

Visualize: Power BI

Certified Power BI semantic models connect to Snowflake, with row-level security and self-service reporting for business users.

Reference architecture

  1. Raw / landing layer

    CDC streams land source data in Snowflake unchanged, with full history for audit and replay.

  2. Curated layer

    Data is cleansed, conformed and integrated into business entities (customer, product, order) with data-quality rules.

  3. Consumption layer

    Dimensional marts and metrics with agreed definitions feed Power BI, data science and data sharing.

  4. Governance across all layers

    Role-based access, masking of sensitive fields, lineage, cost monitoring and a business glossary.

3Results

One version of the truth

Shared definitions and certified datasets end the arguments over whose numbers are right.

Near real-time insight

CDC replaces nightly extracts, so dashboards reflect the business as it is now.

Less load on production

Log-based capture removes heavy reporting queries from transactional systems.

Ready for AI

A governed, scalable platform is the base for advanced analytics and machine learning.

This white paper is general, educational guidance. Results depend on each organization's environment, contracts and scope. Product names are trademarks of their respective owners and are used for identification only.

Want to apply this to your environment?

We'll review your situation and outline a tailored plan, with no obligation.

Start a conversation