Data Consolidation, ETL Tools and Unstructured Data

Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

DECEMBER 7, 2021

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. Step 2- Internal Data transformation at LakeHouse.

Data Pipeline

Data Pipeline Architecture Kafka AWS

Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

FEBRUARY 15, 2023

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?

Data Warehouse

Data Warehouse Unstructured Data AWS Business Intelligence

Data Engineering Digest

Data Pipeline- Definition, Architecture, Examples, and Use Cases

Data Warehousing Guide: Fundamentals & Key Concepts

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