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Experiment #1: Perform the following DB operations using Cassandra.
1. Create a keyspace by name Employee
2. Create a column family by name Employee-Info with attributes
Emp_Id Primary Key, Emp_Name, Designation, Date_of_Joining, Salary,
Dept_Name
3. Insert the values into the table in batch
4. Update Employee name and Department of Emp-Id 121
5. Sort the details of Employee records based on salary
6. Alter the schema of the table Employee_Info to add a column Projects which stores a set of Projects done by the corresponding Employee.
7. Update the altered table to add project names.
8. Create a TTL of 15 seconds to display the values of Employees.
Experiment #2: Perform the following DB operations using Cassandra.
1. Create a keyspace by name Library
2. Create a column family by name Library-Info with attributes
Stud_Id Primary Key,
Counter_value of type Counter,
Stud_Name, Book-Name, Book-Id, Date_of_issue
3. Insert the values into the table in batch
4. Display the details of the table created and increase the value of the counter
5. Write a query to show that a student with id 112 has taken a book “BDA” 2 times.
6. Export the created column to a csv file
7. Import a given csv dataset from local file system into Cassandra column family
Experiment #3: Perform the following DB operations using MongoDB.
Create a database “Student” with the following attributes Rollno, Age, ContactNo, Email-Id.2.
Insert appropriate values3.
Write query to update Email-Id of a student with rollno 10.4.
Replace the student name from “ABC” to “FEM” of rollno 11.5.
Export the created table into local file system6.
Drop the table7.
Import a given csv dataset from local file system into mongodb collection.