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Top Institutes for RDBMS training in White Field, Bangalore.

Listings of 7+ RDBMS training institutes located near White Field in Bangalore as on November 28, 2020. Get access to training curriculum, placement training, course fees, contact phone numbers and students reviews.

 

 

training institutes Adept Skills
White Field
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training institutes DIT
Indira Nagar
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DIT at Indira Nagar - computer lab photo_15379 DIT at Indira Nagar - center entrance photo_15378 

DIT , an ISO 9001:2008 certified company, based at Bangalore India, has beenproviding services in software consulting, application development, outsourcing services, recruitment
and training. Located at 30/11st Floor R.K.Plaza C.M.H Road Indiranagar 560038
 
training institutes HBGS dataware House Training
White Field
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training institutes Techiezone
Marathahalli
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Techiezone at Marathahalli - center entrance photo_15541 Techiezone at Marathahalli - class room photo_15540 Techiezone at Marathahalli - class room photo_15539 

MNP Technologies is a Premier IT Training Institute in Bangaore that provides High quality, Job Oriented Training programs.We are focused to improve your IT skills via organised approach. Located at D no 11mkb square2nd floor marathalli bridge Marathalli 560037
 
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training institute

Located at Marathahalli 560037
 
training institutes Bits n Bytes Academy
Marathahalli
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Located at Marathahalli Main Rd Anand Nagar Aswath Nagar Marathahalli Bengaluru Karnataka 560037
 
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RDBMS course Content / syllabus at white-field.

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

 

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.
2.Keys.
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.
8.Indexes.
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.

 

JetKing Bangalore

 

Balc BangaloreHybritic Informatics

 

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