Practical writing on data engineering, analytics and building data solutions like real software.
Practical lessons from building a Go ETL pipeline that ingests solar telemetry from 15 inverter vendor APIs across 24,350 plants: rate limits, data quality, idempotency.
Read moreMost businesses told they need a data lake or lakehouse don't. When Parquet + DuckDB or MotherDuck covers your analytics, and when Postgres alone is enough.
Read moreA practical comparison of Metabase, Superset, Grafana, Looker Studio and Power BI for South African businesses: self-hosted vs per-seat costs, embedding, governance and a plain decision framework.
Read moreHow Go, HTMX and Templ let you build server-rendered internal data tools (tables, filters, live updates) as one static binary with no SPA overhead.
Read moreWhen Phoenix LiveView renders charts server-side as SVG with Contex, you skip the JS bundle and state-sync tax. When client-side charting still wins.
Read moreA practical decision framework for picking a JavaScript charting library (ECharts, D3, Recharts, Plotly, Chart.js and deck.gl) by control, rendering performance and maintenance cost.
Read moreDiscover how predictive analytics is revolutionizing decision-making across industries and learn the key strategies for successful implementation.
Read moreDiscover how vision language models are revolutionizing the South African horticulture sector and learn the key features for their successful implementation.
Read moreExplore how AI-driven inventory planning is transforming supply chain management, offering unprecedented accuracy and efficiency in an increasingly complex market.
Read more