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. Monitoring: It is a component that ensures data integrity.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

AltexSoft

SEPTEMBER 10, 2021

To get a single unified view of all information, companies opt for data integration. In this article, you will learn what data integration is in general, key approaches and strategies to integrate siloed data, tools to consider, and more. What is data integration and why is it important?

Data Integration 52

Data Integration Data Consolidation Data Warehouse BI 52

Ascend.io

DECEMBER 21, 2022

After, they leverage the power of the cloud warehouse to perform deep analysis, build predictive models, and feed BI tools and dashboards. However, data warehouses are only accessible to technical users who know how to write SQL. With the advent of cloud-based infrastructure, ETL changed towards ELT.

ETL Tools 52

ETL Tools ETL System Data Warehouse Data Consolidation 52