Course Brief

    Introduction to DBMS, What is a Database, What is Management System, Different views of data, Advantages and disadvantages of RDBMS,Introduction to SQL,Sub language of SQL (DDL, DML, DQL/DRL, TCL & DCL).

    Learning Outcomes:

    • Understand the RDBMS concepts and to get an understanding of SQL at high level

    What is a database table?, How do we create tables?, How do we insert Data?, How to retrieve/select data?, How do we delete data?, How do we update data?

    Learning Outcomes:

    • Basic SQL related to creating, inserting, deleting and updating data

    Logical operators, Between operators, In operator, Pattern matching operators.

    Learning Outcomes:

    • Different SQL operators and their usage

    Detailed coverage of DDL (Data definition language):CREATE, ALTER, DROP, TRUNCATE, RENAME.

    Learning Outcomes:

    • Understand the different DDL statements

    MySql Functions, Aggregate functions,Scalar functions (String functions, date related, numeric related, conversion function, null related functions.),Group by, order by, having clause.

    Learning Outcomes:

    • Understand the aggregate functions and group by/order by and having clause as part of SQL

    Inner Join, Left Join, Right join and full join.

    Learning Outcomes:

    • Understanding Joins in SQL

    Triggers, Procedures, Functions, Views and ACID properties.

    Learning Outcomes:

    • Understand how to create stored procedures, triggers, functions, views and ACID properties

    Normalization (1NF, 2NF, 3NF & BCNF).

    Learning Outcomes:

    • Role of Normalization for good RDBMS design

Ms. Jyothi SanjeevaMani

Ms. Jyothi SanjeevaMani has over 15 years of satisfying teaching and technical training experience. She is a Research Scholar of Big Data Analytics from a reputed university. As a technical trainer she trained many students in industry oriented subjects like C, C++, Java, MySQL, Oracle (SQL, PL/SQL), Python, Linux, Openstack, BigData - Hadoop(MapReduce, Pig, Hive, Sqoop, Flume), Data Science with both Python and R.

She is an Asst.Professor with the Department of IT at The Keshav Memorial Institute of Technology (KMIT).

She is a dedicated, resourceful and a result oriented instructor, who strives to help students change marginal grades into good grades.

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