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In this course, you will learn:-
- The fundamentals of big data
- Hadoop's origins
- What is the difference between a relational database management system (RDBMS) and Hadoop?
- Hadoop Cluster Modes
- Mapreduce daemons and HDFS daemons
- ARCHITECTURE OF THE HADOOP CLUSTER
- Commands for the HDFS file system
- Partitioner & Combiner
- Mapreduce
Syllabus:-
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1.1 What is Big data
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1.2 Facts about Big Data
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1.3 Big Data Scenarios
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1.4 Apache Hadoop framework
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1.5 Hadoop Users
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1.6 Hadoop History
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1.7 Difference between RDBMS and Hadoop
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1.8 Cluster Modes in Hadoop
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1.9 Hadoop Ecosystem
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1.10 HDFS Daemons and Mapreduce daemons
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1.11 Hadoop Cluster Architecture
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1.12 Learning Hadoop
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1.13 Hadoop Distributions and Compatibilities
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1.14 Hadoop Ecosystem in detail
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2.1 Hadoop Distributed File System
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2.2 HDFS Files and Blocks
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2.3 HDFS Components and Architecture
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2.4 HDFS File Read-Write
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2.5 Installation of Apache Hadoop
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3.1 Mapreduce
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3.2 Map-Reduce Operation
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3.3 Map-reduce Example
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3.4 HDFS Input Splits
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3.5 Mapreduce Architecture
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3.6 Combiners
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3.7 Partitioner
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3.8 Shuffling and Sorting in Hadoop
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4.1 cdh 5.2 Installation
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4.2 HDFS Commands part-1
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4.3 HDFS Commands part-2
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4.4 HDFS Commands part-3
