Data Pipelines: From Ingestion to Insight
Data Pipelines: From Ingestion to Insight Data pipelines connect sources to decisions. They move raw data through stages like ingestion, processing, storage, and access. A well designed pipeline reduces delays and helps teams trust the numbers. They must handle volume, velocity, and variety in real world data. Ingestion Source systems include databases, logs, SaaS apps, and sensors. Ingestion can be push or pull. Techniques like change data capture keep databases up to date, while log shippers bring streams of events. Data arrives in formats such as JSON, Parquet, or CSV. Build reliable connectors, implement retries, and record timestamps consistently. ...