Stream CSV, API, CDC, and visitor-pixel events through Kafka into DuckDB — fueling RetailX certified analytics, dbt quality gates, and a 13-chart operational dashboard on Kryptur infrastructure.
Recognised among leading self-service data-engineering platforms, Kryptur advances smarter retail intelligence through Kafka streaming, DuckDB lakehouse queries, dbt star-schema models, and live Hetzner VPS API infrastructure.
Thirteen Chart.js panels replace static reports with live revenue, forecast, visitor, and quality KPIs.
Four ingestion paths — CSV upload, REST API, CDC stream, and visitor tracking pixel — unified in KRaft mode.
Seventeen automated tests enforce unique, not-null, and referential integrity after every pipeline run.
Authenticated JSON payload powers dashboard KPIs, trends, forecasts, and product rankings.
Per-client schema isolation in analytics_* namespaces prevents cross-tenant data leakage.
Partner with data-engineering experts across lakehouse design, wizard UX, and tier-1 reporting.
Twenty-five wizard jobs cover ingestion, quality, lineage, ML forecasting, and offline HTML reports.
Star-schema models stg_retail_events, dim_product, and fact_sales pass 17 tests every Airflow cycle.
Job 24 self-contained HTML report and Job 25 live dashboard share build_analytics_overview logic.
retailx_full_pipeline DAG completes in under two seconds on 16 vCPU AMD EPYC commodity hardware.
FastAPI tier-1 backend serves /analytics_overview with X-API-Key multi-tenant authentication.
Optimize retail analytics outcomes from Kafka streaming and DuckDB lakehouse investments.
Same-origin proxy at /api/retailx/analytics-overview forwards authenticated requests to the Hetzner RetailX tier-1 backend with your x-api-key header. Query param: client_id (e.g. synthetics, demo_retail). Response includes KPIs, revenue trends, forecasts, product rankings, and visitor pageviews.
What's New at Kryptur — RetailX API releases, ELT pipeline research, and data-engineering news.