Understanding Data Integration

In this section, let us dive deeper into and understand the underlying concepts of Data Integration.

Introduction to Data Integration

In the previous chapter, we saw that the data in the Intake Tier is in its native format with no operations performed on the data to check for its validity.

To make real use of this newly acquired data in its native format, it has to be combined or integrated with the historical data assets residing within the Enterprise Data Centre to improve the success of gathering analytical insights.

The practical goal of Data Integration is to provide a unified view through a single access point to all the data that is residing or that can be accessed by the Data Lake. Without this capability, there would be chaos, due to the multiple access points of the data; without this capability, organizations cannot integrate multiple sources, enrich it, and deliver it to data consumers rapidly to maximize its competitive advantage.

Data Lake's...