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. And based on the business use cases, what happens inside the pipeline is decided. A pipeline may include filtering, normalizing, and data consolidation to provide desired data.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

JANUARY 19, 2024

Business Intelligence Transforming raw data into actionable insights for informed business decisions. This subject equips you with skills in handling various BI (Business Intelligence) methods and tools. Importance: Efficient organization and retrieval of data.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

AltexSoft

SEPTEMBER 10, 2021

So, why does anyone need to integrate data in the first place? Today, companies want their business decisions to be driven by data. But here’s the thing — information required for business intelligence (BI) and analytics processes often lives in a breadth of databases and applications. Data consolidation.

Data Integration 52

Data Integration Data Consolidation Data Warehouse BI 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