Aggregated Data, Data Consolidation and Raw Data

Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

FEBRUARY 15, 2023

Cleaning Bad data can derail an entire company, and the foundation of bad data is unclean data. Therefore it’s of immense importance that the data that enters a data warehouse needs to be cleaned. Finally, where and how the data pipeline broke isn’t always obvious. They need to be transformed.

Data Warehouse

Data Warehouse Unstructured Data AWS Business Intelligence

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

ProjectPro

DECEMBER 7, 2021

To understand the working of a data pipeline, one can consider a pipe that receives input from a source that is carried to give output at the destination. A pipeline may include filtering, normalizing, and data consolidation to provide desired data. In most cases, data is synchronized in real-time at scheduled intervals.

Data Pipeline

Data Pipeline Architecture Kafka AWS

Data Engineering Digest

Data Warehousing Guide: Fundamentals & Key Concepts

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

Webinars

Stay Connected