Question

 Explain the importance of indexes in analytical databases. Differentiate between primary index,
secondary index, and clustering index with suitable examples.
Question 2: Data Normalization, Dependencies, and SQL for Analytics

05 Aug 2026
Answer :
Word Count : 810
Indexes are important data structures in analytical databases because they improve the speed and efficiency of data retrieval. Analytical databases are designed to handle large volumes of historical and aggregated data for reporting, business intelligence, decision-making, and data analysis. Queries in such databases often involve searching, filtering, sorting, grouping, and joining millions or even billions of records. Without suitable indexes, the database may need to scan the entire table to find the required records, resulting in high input/output operations and longer query execution time. An index provides an organized access path to the data, allowing the database management system to locate required records more quickly. An index generally consists of search-key values and pointers to the corresponding records. When a query contains a condition on an indexed attribute, the database can use the index instead ____ _________ ______ _________ _______ _______ _____ _________.
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