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

AltexSoft

SEPTEMBER 10, 2021

For this reason, there are various types of data integration. The key ones are data consolidation, data virtualization, and data replication. These types define the underlying principles of integrating data. Data consolidation. How data consolidation works.

Data Integration 52

Data Integration Data Consolidation Data Warehouse BI 52

AltexSoft

NOVEMBER 23, 2021

In simple terms, data remains in original sources while users can access and analyze it virtually via special middleware. Before we get into more detail, let’s determine how data virtualization is different from another, more common data integration technique — data consolidation.

Process 69

Process Data Lake Metadata Data Warehouse 69

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