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17 resultsGraph Databases — When to Use Neo4j Over Relational
Nodes, edges, Cypher queries, and use cases where graph beats SQL.
Data Governance — Principles and Practical Implementation
Ownership, cataloguing, lineage tracking, and access control at scale.
Building a Data Quality Framework
Dimensions of data quality, validation layers, and monitoring in production pipelines.
Privacy-First Data Design — PII Handling Patterns
Tokenisation, pseudonymisation, encryption at rest, and right-to-deletion workflows.
Introduction to Data Pipelines
What a data pipeline is, the core stages, and when to build vs buy.
Data Warehouse Modelling — Star Schema and Dimensional Design
Facts, dimensions, slowly changing dimensions, and why modelling choices matter for query performance.
Data Lake vs Data Warehouse vs Lakehouse
Practical comparison of the three architectures and how to choose.
Getting Started with dbt (data build tool)
Models, tests, documentation, and the dbt workflow for transforming warehouse data.
ETL vs ELT — Which Pattern Should You Use?
Understand the difference between Extract-Transform-Load and Extract-Load-Transform and when each fits.
Trino (formerly PrestoSQL) — Federated SQL Across Data Sources
Architecture, connectors, query federation, and performance tuning.
Snowflake Best Practices for Cost and Performance
Virtual warehouses, clustering, query optimization, and controlling spend.
DuckDB — Blazing Fast Local Analytics
When to reach for DuckDB instead of Spark, and how to use it effectively.
Materialised Views — When and How to Use Them
Incremental refresh, use cases, and implementation across Postgres, Snowflake, and dbt.
Fix Webcam Not Working in Windows
Get your built-in or USB webcam detected and working in Teams, Zoom, and browsers.
Change Data Capture (CDC) — Debezium and Log-Based CDC
How CDC works, why it beats polling, and how to implement it with Debezium.
Feature Stores — Bridging Data Engineering and ML
What a feature store is, online vs offline stores, and when to build vs buy.
Data Platform Cost Optimization Strategies
Reducing Snowflake, S3, Spark, and Kafka spend without sacrificing performance.