Remove Data Consolidation Remove ETL Tools Remove Raw Data Remove Unstructured Data
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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

A pipeline may include filtering, normalizing, and data consolidation to provide desired data. It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. In most cases, data is synchronized in real-time at scheduled intervals.

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Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

A company’s production data, third-party ads data, click stream data, CRM data, and other data are hosted on various systems. An ETL tool or API-based batch processing/streaming is used to pump all of this data into a data warehouse. Can a data warehouse store unstructured data?