Understanding of relational database concepts, entities, attributes, keys, relationships, and normalization.
See NotesProficiency in writing SQL queries for data retrieval, manipulation, and management.
See NotesKnowledge of database design principles, entity-relationship modeling, and schema normalization.
See NotesTechniques for optimizing database performance, including indexing strategies and query optimization methods.
See NotesUnderstanding of ACID properties, transaction isolation levels, and concurrency control mechanisms (e.g., locking, timestamps).
See NotesConcepts like access control, encryption, authentication, and data integrity constraints (e.g., primary keys, foreign keys).
Strategies for database backup, restore, and recovery to ensure data reliability and availability.
See NotesKnowledge of distributed database architectures, replication, fragmentation, and distributed query processing.
See NotesUnderstanding of data warehousing concepts, OLAP (Online Analytical Processing), and data mining techniques for extracting meaningful insights from data.
See NotesFamiliarity with non-relational databases like document-oriented, key-value, column-family, and graph databases.
Knowledge of big data concepts, platforms (e.g., Hadoop, Spark), and distributed file systems (e.g., HDFS).
See NotesSkills in database installation, configuration, monitoring, performance tuning, and capacity planning.
See NotesUnderstanding of database connectivity methods, APIs (e.g., JDBC, ODBC), and middleware technologies.
See NotesKnowledge of DBMS components, including storage management, query processing, and transaction management.
See Notes