Perspectives on data engineering, BI & transformation

• Data Engineering2 min read

  Modern Data Engineering: What Actually Matters for Enterprises

  The principles behind data platforms that stay reliable as an organization grows, and why tools come second.

  7 Nov 2026Read

• Data Warehousing2 min read

  Enterprise Data Warehouse Architecture for Multi-Site Organizations

  How to design an EDW that consolidates several plants, branches or business units without losing local detail.

  2 Nov 2026Read

• Data Engineering2 min read

  Medallion Architecture Explained: Bronze, Silver and Gold

  A practical explanation of the Medallion pattern and how to apply it outside of a single vendor's platform.

  28 Oct 2026Read

• Databases2 min read

  ClickHouse for Enterprise Analytics: Lessons from Production

  Why ClickHouse works well as an analytical warehouse engine, and the query patterns that keep it within memory limits.

  20 Oct 2026Read

• Cloud Platforms2 min read

  Microsoft Fabric: Where It Fits in an Analytics Strategy

  A practitioner's overview of Microsoft Fabric and the questions to ask before adopting it.

  12 Oct 2026Read

• Business Intelligence2 min read

  Power BI at Enterprise Scale: Practices That Hold Up

  Modeling, DAX, security and deployment practices for Power BI estates serving hundreds of users.

  5 Oct 2026Read

• Business Intelligence2 min read

  Apache Superset for Enterprise Dashboards

  Using open-source Apache Superset as a governed BI layer, covering datasets, RBAC, design consistency and adoption tracking.

  27 Sep 2026Read

• Data Engineering1 min read

  dbt: Bringing Software Engineering to Data Transformation

  How dbt makes SQL transformations modular, testable and documented, with a structure that scales.

  18 Sep 2026Read

• Digital Transformation2 min read

  Digital Transformation Starts with Reporting

  Why modernizing management reporting is often the most practical first step in a digital transformation programme.

  9 Sep 2026Read

• ERP Integration2 min read

  Integrating ERP Data for Analytics: A Field Guide

  Practical guidance for extracting and modeling data from ERPNext, SAP, Sage 300 and similar systems.

  30 Aug 2026Read

• Data Governance1 min read

  Data Governance in BI: Security, Quality and Trust

  Practical governance for analytics teams, covering RLS/RBAC, validation, reconciliation and usage monitoring.

  21 Aug 2026Read

• AI & Analytics2 min read

  AI in Business Intelligence: Practical, Not Magical

  Where forecasting and LLMs genuinely add value to BI, and why the data foundation still comes first.

  12 Aug 2026Read

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