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Program to find second most frequent element in a list in O(n) time complexity.
Create a dictionary to store the frequency of each element in the list.
Iterate through the list to populate the dictionary.
Find the second highest frequency in the dictionary and return the corresponding element.
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Teradata architecture and performance tuning techniques
Teradata architecture consists of parsing engine, BYNET, access module processors, and storage
Performance tuning techniques include indexing, partitioning, and query optimization
Indexing involves creating indexes on frequently accessed columns
Partitioning involves dividing large tables into smaller ones for faster access
Query optimization involves rewriting queries
Primary and secondary indexes in Teradata and their importance
Primary index is used for data distribution and is defined at table creation
Secondary index is used for faster access to data and can be added after table creation
Indexes improve query performance by reducing data retrieval time
Indexes can also improve data loading time by reducing the need for full table scans
Choosing the right index type and columns is imp
Teradata has various types of tables including SET, MULTISET, VOLATILE, GLOBAL TEMPORARY, QUEUE, and NO PRIMARY INDEX tables.
SET tables enforce uniqueness of primary index values.
MULTISET tables allow duplicate primary index values.
VOLATILE tables are temporary and are automatically deleted at the end of a session.
GLOBAL TEMPORARY tables are temporary and can be accessed by multiple sessions.
QUEUE tables are used for m...
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