Data Consolidation, MongoDB and Relational Database

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 Virtualization: Process, Components, Benefits, and Available Tools

AltexSoft

NOVEMBER 23, 2021

In simple terms, data remains in original sources while users can access and analyze it virtually via special middleware. Before we get into more detail, let’s determine how data virtualization is different from another, more common data integration technique — data consolidation.

Process

Process Data Lake Metadata Data Warehouse

Data Engineering Digest

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

Data Virtualization: Process, Components, Benefits, and Available Tools

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