Web Intelligence and Big Data Unit 3 & 4 PYQ
Web Intelligence and Big Data Unit 3 & 4 PYQ 1 (a) How the data from different universe/ sources and projects can be combined in a single reports. Explain. (6) In order to combine data from different universes, sources, or projects into a single report, several techniques can be employed. Here's an explanation of how this can be done: Data Integration: Data integration involves gathering data from various sources and unifying it into a consistent format. This can be achieved through Extract, Transform, Load (ETL) processes, where data is extracted from different sources, transformed to a standardized format, and loaded into a central repository or data warehouse. Data Mapping: Data mapping is the process of matching and aligning data elements from different sources to ensure compatibility. It involves identifying common fields or attributes in the datasets and establishing relationships between them. This allows for a coherent merging of data into a single report. Data Cleans