Hadoop Development Training & Certification

Hadoop Develoment Course Contents :
Big Data Concepts:
1. What is Big Data
2. How it differs from traditional data
3. Characteristics of big data
Hadoop :
1. Overview
2. Components of Hadoop
3. Performance and scalability
4. Hadoop in the context of other data stores
5. Differences between noSQL and Hadoop
Unix:
1. installation
2. Basic commands
3. Users and groups
Hadoop installations:
1. Standalone mode
2. Pseudo distributed mode
HDFS :
1. Architecture
2. Configuring HDFS
3. Blocks, name node and data nodes
4. Job tracker and task tracker
5. Hadoop fs command line interace
6. Basic file system operations & file system api
7. Executing default map reduce examples in hadoop
MapReduce :
1. What is MapReduse and how it works
2. Configuring eclipse with Hadoop
3. Mapper, reducer and driver
4. Serialization
5. Custom writable implementation examples in java
6. Input formats
7. Output formats
8. Counters
9. Writing custom counters in java
10. Streaming
11. Sorting ( partial, total and secondary )
12. Joins ( map side and reduce side joins )
13. No reducer programs
14. Programs in map reduce
Hive
1. What is Hive
2. How is data organizes in Hive
3. Data units
4. Data types
5. Operators and functions
6. Creation of tables and partitions
7. Loading the data into HDFS
8. Partition based query
9. Joins
10. Aggregations
11. Multi Tables file inserts
12. Arrays, maps, union all
13. Altering and dropping tables
14. Custom map reduce scripts
HBase
1. Zookeeper
2. Data organization in hbase
3. Creating, altering, dropping, inserting the data
4. Joins, Aggregations
5. Custom map reduce scripts
6. Integration of HBase, hive and Hadoop

Hadoop Adminstration :
The following are common from the above course
BigData concepts, Hadoop, unix, Hadoop installations, HDFS. Mapreduce ( introduction only)

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