Business Intelligence, Data Consolidation, Data Lake and ETL Tools

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. 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.

Data Pipeline

Data Pipeline Architecture Kafka AWS

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

AltexSoft

SEPTEMBER 10, 2021

So, why does anyone need to integrate data in the first place? Today, companies want their business decisions to be driven by data. But here’s the thing — information required for business intelligence (BI) and analytics processes often lives in a breadth of databases and applications. Data consolidation.

Data Integration

Data Integration Data Consolidation Data Warehouse BI

Data Engineering Digest

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

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

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