Data Analytics, Data Consolidation 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. In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline. In other words, Data Pipelines mold the incoming data according to the business requirements.

Data Pipeline

Data Pipeline Architecture Kafka AWS

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

AltexSoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. Connection layer.

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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