WEBSITE DESIGN AND DEVELOPMENT
Activity 8
What is database integration?
Database integration is the process of combining data from several sources, such as social
media, IoT sensor data, data warehouses, consumer transactions, and more, and sharing a
current, clean version across an organization. Consider a case where you need to mix data from
multiple Excel spreadsheets with data from an Access database; this is a straightforward data
integration assignment. Data integration's ultimate purpose is to provide important and usable
information that can be used to solve problems and obtain new insights.
What are the challenges of data integration?
Keeping up with the data volumes
The largest data integration difficulty, according to Mitch Gibbs, a cloud consultant at Atlanta-
based Candid Partners, is the exponential rise of data from many various sources. This poses
issues with data retention capacity and, more importantly, efforts to turn all of the data gathered
and collected into meaningful information.
Your data isn’t formatted correctly
Anomalous data that is incomprehensible or in the incorrect format is useless, and its value is
lost. However, manually formatting, validating, and correcting data is tedious and time-
consuming for your developers.
Data transformation technologies solve this challenge by analyzing the original base language,
deciding the proper format, and making the necessary changes automatically. This method
alleviates the stress of data integration and reduces the amount of errors, especially since your
data team may flag and inspect code at any stage in the transformation pipeline.
