Introduction to Combining Data from Multiple Sources
Combining data from different sources helps organisations create a more complete picture of their information. By bringing together data from spreadsheets, databases and other systems, it is possible to improve accuracy, identify trends and generate more reliable insights to support better decision-making.
Technique Overview
Introduction to Combining Data from Multiple Sources Definition
Combining data is the process of bringing together information from two or more sources into a single dataset for analysis. The process may involve matching related records, merging datasets, or standardising data into a consistent format so it can be analysed more effectively. The aim is to create a more complete and reliable view of the available information (Stonebraker & Ilyas, 2018; Christen, 2012).
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Further Reading
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Introduction to Combining Data from Multiple Sources references (4 of up to 20) *
- Christen, P., 2012. The data matching process. In Data matching: concepts and techniques for record linkage, entity resolution, and duplicate detection (pp. 23-35). Berlin, Heidelberg: Springer Berlin Heidelberg.
- Elmasri, R. and Navathe, S.B., 2016. Fundamentals of database systems seventh edition
- Kimball, R. & Ross, M. (2013). The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling (3rd ed.). Wiley.
- Kolade Olusola Ogunsola, Balogun, E.D. and Adebanji Samuel Ogunmokun (2022). Developing an Automated ETL Pipeline Model for Enhanced Data Quality and Governance in Analytics. International Journal of Multidisciplinary Research and Growth Evaluation, 3(1), pp.791–796. doi:https://doi.org/10.54660/.ij
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