Data Analytics, Data Consolidation and MongoDB

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.

Process

Process Data Lake Metadata Data Warehouse

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. Step 2- Internal Data transformation at LakeHouse.

Data Pipeline

Data Pipeline Architecture Kafka AWS

Data Engineering Digest

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

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

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