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.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Cloudera

FEBRUARY 3, 2021

Capacity on planes and with ground transportation has been booked, and, of course, this was all done in the absence of the vaccine itself. Leveraging all data sources and breaking down the silos that prevent data consolidation allows advanced predictive analytics. Supply Chain 4.0 But that’s not the whole story.

Manufacturing 102

Manufacturing Transportation Pharmaceutical Data Consolidation 102

Monte Carlo

FEBRUARY 15, 2023

Finally, where and how the data pipeline broke isn’t always obvious. Monte Carlo solves these problems with our our data observability platform that uses machine learning to help detect, resolve and prevent bad data.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

Grouparoo

NOVEMBER 5, 2021

The implementation of data integration can employ various techniques, including: Data replication techniques manage the transfer of data between storage repositories to maintain synchronization. The use of this method applies to situations where no transformation of the data is necessary.

Data Integration 40

Data Integration Datasets Data Warehouse Data Consolidation 40