The students are able to:
1. Differentiate between Name Node, Secondary Name Node, Data
Node.
2. Compare MapReduce-1 and MapReduce-2 frameworks for solving
Big data problems
3. Differentiate Hive and RDBMS.
4. Experiment pig queries and examine the performance.
5. Test Sorting, Aggregate functions in HiveQL.
6. Analyze Query execution performance with in-memory databases
like Apache Spark.
1. Differentiate between Name Node, Secondary Name Node, Data
Node.
2. Compare MapReduce-1 and MapReduce-2 frameworks for solving
Big data problems
3. Differentiate Hive and RDBMS.
4. Experiment pig queries and examine the performance.
5. Test Sorting, Aggregate functions in HiveQL.
6. Analyze Query execution performance with in-memory databases
like Apache Spark.
Catalogue Code: T07366
Course Type: Generic Core Course
Total Credit: 3
Credits (Theory): 3
No. of Hours: 45
Internal Marks: 30
External Marks : 45
Total Marks: 75
Experiential Learning: No
Primary Purpose of Course: SKill Development
Primary Orientation of the Course: Other
Course Code: _0701240626
Catalogue Code: VF
Course Type: Generic Core Course
Total Credit: 3
No. of Hours: 90
Internal Marks: 25
External Marks : 30
Total Marks: 75
Experiential Learning: No
Primary Orientation of the Course: Other
Course Code: _0701240622
Catalogue Code: VF
Course Type: Generic Core Course
Total Credit: 2
No. of Hours: 30
Internal Marks: 50
External Marks : 0
Total Marks: 50
Experiential Learning: No
Primary Orientation of the Course: Other
Course Code: _0701240704