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Top Institutes for RDBMS training in Warje Malwadi, Pune.

Listings of 1+ RDBMS training institutes located near Warje Malwadi in Pune as on May 15, 2021. Get access to training curriculum, placement training, course fees, contact phone numbers and students reviews.



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NIIT KOTHRUD CENTER at Kothrud - computer lab photo_15778 NIIT KOTHRUD CENTER at Kothrud - computer lab photo_15777 NIIT KOTHRUD CENTER at Kothrud - computer lab photo_15776 

Established in 1981, NIIT Limited, a global leader in Skills and Talent Development, offers multi-disciplinary learning management and training delivery solutions to corporations, institutions. Located at 2nd Floor 147/148 Payko TowerNear Karve Putala Kothrud 411038
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RDBMS course Content / syllabus at warje-malwadi.

We gathered most widely used RDBMS course content used by training institutes in warje-malwadi. The RDBMS course syllabus covers basic to advanced level and it may vary based on RDBMS training classes offered in warje-malwadi.


I.Introduction to the Course Database Systems:
1.Differences between data and information.
2.Types of databases and their value for decision making.
3.Importance of database design.
4.Database roots in file systems.
5.Problems with file system data management.
6.Differences between databases and file systems.
II.Data Models:
1.The importance of data models.
2.The basic building blocks of data models.
3.The relationship between data models and business rules.
4.The evolution of data models.
5.Classifying data models by degree of abstraction
III.The Relational Database Model (RDBMS):
1.A Logical View of Data.
3.Integrity Rules.
4.Relational Set Operators.
5.The Data Dictionary and the System Catalog.
6.Relationships within the Relational Database.
7.Data Redundancy Revisited.
IV.Entity Relationship (ER) Modeling:
1.The Entity Relationship (ER) model
2.Developing an ER Diagram.
V.Normalization of Database Tables:
1.Database Tables and Normalization.
2.The Need for Normalization.
3.The Normalization Process (1NF, 2NF, 3NF).
4.Improving the Design.
5.Surrogate Key Considerations.
6.Higher-Level Normal Forms.
7.Normalization and Database Design.


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