Aggregated Data, Data Consolidation, ETL Tools and SQL

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 3- Ensuring the accuracy and reliability of data within Lakehouse.

Data Pipeline

Data Pipeline Architecture Kafka AWS

Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

FEBRUARY 15, 2023

On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. A company’s production data, third-party ads data, click stream data, CRM data, and other data are hosted on various systems.

Data Warehouse

Data Warehouse Unstructured Data AWS Business Intelligence

Data Engineering Digest

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

Data Warehousing Guide: Fundamentals & Key Concepts

Webinars

Stay Connected