Undergraduate Certificate in Data Redundancy Techniques
-- ViewingNowThe Undergraduate Certificate in Data Redundancy Techniques is a comprehensive course designed to tackle data redundancy, a common challenge in data management. This certification equips learners with the skills to identify, analyze, and solve data redundancy issues, thereby optimizing data storage and enhancing data integrity.
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โข Introduction to Data Redundancy
โข Types of Data Redundancy: Physical and Logical
โข Data Redundancy Techniques: Normalization and De-duplication
โข Normalization: First Normal Form (1NF), Second Normal Form (2NF), Third Normal Form (3NF)
โข Advanced Normalization Techniques: Boyce-Codd Normal Form (BCNF), Fourth Normal Form (4NF), Fifth Normal Form (5NF)
โข Data De-duplication Techniques: Hash-based De-duplication, Rule-based De-duplication
โข Data Redundancy Risks and Prevention Techniques
โข Data Redundancy in Big Data and Cloud Computing
โข Data Redundancy Best Practices and Real-world Use Cases
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