Remove Business Intelligence Remove Data Consolidation Remove Data Warehouse Remove ETL Tools
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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

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. And based on the business use cases, what happens inside the pipeline is decided. A pipeline may include filtering, normalizing, and data consolidation to provide desired data.

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Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

Cloud data warehouses solve these problems. Belonging to the category of OLAP (online analytical processing) databases, popular data warehouses like Snowflake, Redshift and Big Query can query one billion rows in less than a minute. What is a data warehouse?

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Data Integration: Approaches, Techniques, Tools, and Best Practices for Implementation

AltexSoft

Data integration is the process of taking data from multiple disparate internal and external sources and putting it in a single location (e.g., data warehouse ) to achieve a unified view of collected data. So, why does anyone need to integrate data in the first place? Key types of data integration.