How to study Big Data Technologies — Electives, Pokhara University BECE
What it covers
Storing and processing large-scale data: big data concepts, Hadoop and HDFS, MapReduce, Spark, NoSQL databases, and data processing pipelines.
Topics worth extra time
- Characteristics of big data and its challenges
- Hadoop ecosystem: HDFS and MapReduce
- Spark and in-memory processing
- NoSQL databases
- Stream processing and big data analytics
How to study it
Write MapReduce or Spark jobs for classic problems like word count. Running a small local cluster or a notebook environment makes the concepts concrete.
In the exam
Use architecture diagrams and walk through a MapReduce example step by step.