Weekly Data Engineering Workflow Aug 2026 architecture diagram

About This Architecture

Weekly data engineering workflow orchestrating parallel scraping, transformation, and storage of BKPM and BI data sources from August 18-21, 2026. Raw data flows through scraping tasks, preparation, cleaning, standardization, and matching stages before landing in MinIO object storage as Parquet files. This pipeline demonstrates incremental progress tracking with completed and in-progress task states, enabling teams to monitor ETL health and identify bottlenecks. Fork this diagram on Diagrams.so to customize data sources, add scheduling logic, or integrate additional transformation stages. The architecture supports both batch and streaming validation patterns through the data matching and verification stage.

People also ask

How do I design a weekly data engineering workflow that scrapes multiple data sources, cleans and standardizes data, and stores results in MinIO?

This diagram shows a complete weekly ETL pipeline where BKPM and BI data sources feed into parallel scraping tasks, flow through raw data preparation, cleaning, standardization, and matching stages, then land in MinIO object storage as Parquet files. The workflow tracks task progress with completed and in-progress states, helping teams monitor pipeline health and identify transformation bottleneck

Weekly Data Engineering Workflow Aug 2026

Autointermediatedata-engineeringETLMinIOParquetdata-pipelineworkflow-orchestration
Domain: Data EngineeringAudience: Data engineers managing ETL pipelines and weekly data workflows
3 views0 favoritesPublic

Created by

August 22, 2026

Updated

September 10, 2026 at 1:00 PM

Type

architecture

Need a custom architecture diagram?

Describe your architecture in plain English and get a production-ready Draw.io diagram in seconds. Works for AWS, Azure, GCP, Kubernetes, and more.

Generate with AI

AI-generated. Verify before production use. Learn more

Report this diagram