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 52

Data Pipeline Architecture Kafka AWS 52

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 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

AltexSoft

SEPTEMBER 10, 2021

With it, data is retrieved from its sources, migrated to a staging data repository where it undergoes cleaning and conversion to be further loaded into a target source (commonly data warehouses or data marts ). A newer way to integrate data into a centralized location is ELT. Data consolidation.

Data Integration 52

Data Integration Data Consolidation Data Warehouse BI 52