This course provides an in-depth understanding of big data concepts, the Hadoop ecosystem, and Spark with Scala. Students will learn to process and analyze large datasets using Hadoop and Spark.
Prerequisites:
- Basic knowledge of programming (preferably in Java or Python)
- Understanding of data structures and algorithms
- Basic knowledge of SQL
Course Duration:
12 weeks (3 hours per week)
Course Objectives:
- Understand big data concepts and the Hadoop ecosystem
- Learn to use HDFS for distributed storage
- Implement MapReduce programs
- Understand and use the Hadoop ecosystem components like Hive and HBase
- Learn Apache Spark for large-scale data processing
- Use Scala for Spark programming
- Explore advanced Spark features and machine learning with Spark MLlib
Modules Covered in this course:
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