Course Chapters and Description
- 1. Introduction to Big Data and Hadoop
- 2. Hive, HBASE and Hadoop Ecosystem Components
- 3. Big Data via Python and R
- Characteristics of Big Data Technology
- Introduction to Hadoop
- Hadoop Configuration
- Hadoop Core Components – HDFS and MapReduce
- HDFS Architecture
- Data Types in Hadoop
- Hadoop MapReduce – Features and Processes
- Advanced MapReduce and HDFS
- Introduction to PIG
- Introduction to HIVE
- HIVE – Characteristics
- Hive Query Language
- Data Models and Data Types in HIVE
- Introduction to HBASE
- Characteristics and Architecture of HBASE
- Cloudera – Introduction
- Cloudera Distribution and Manager
- Comparison of PIG, HIVE and MapReduce
- Introduction to Zoo Keeper, Sqoop and Oozie
- PySpark: Spark with Python
- Loading Data in PySpark shell
- Python Functional programming using filter() and map()
- Programming in PySpark RDD’s
- PySpark SQL and Dataframes
- Machine Learning with PySpark MLlib
- Introduction to Spark in R using sparklyr
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