Hadoop Comprehensive Training

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Hadoop Comprehensive Training


 (4.8) | 450 Ratings


Introduction


Hadoop Comprehensive Training Details
Track Regular Track Weekend Track Fast Track
Course Duration 30 Hrs 8 Weekends 5 Days
Hours 1hr/day 2 Hours a day 6 Hours a day
Training Mode Online Classroom Online Classroom Online Classroom
Delivery Instructor Led-Live Instructor Led-Live Instructor Led-Live


Course Curriculum

Module 1 : Introduction to Hadoop

Topics : What is Big Data?Source of Data, Characteristics of Big Data, Benefits of Big Data analysis, Challenges of Big Data processing, Why Hadoop for Big Data?, An introduction to Hadoop, What is Hadoop not good for?, Hadoop Ecosystem

Module 2 : Hadoop Installation

Topics : Pre-requisites, Hadoop Installation, Checking Installation

Module 3 : MapReduce Framework

Topics: What is MapReduce?How does MapReduce work?MapReduce Program, MapReduce program execution, MapReduce program Unit Testing, Deploying MapReduce on a cluster, Hadoop streaming, Combiner, Partitioner, Counters

Module 4 : HDFS – Hadoop Distributed File System

 Topics : What is HDFS?HDFS Architecture, Data Flow – anatomy of File Read and File Write, What is HDFS Block?Types of Nodes in HDFS, What is HDFS Federation?HDFS High Availability, HDFS Commands – also Parallel Copy, Hadoop Archives

Module 5 : Hive

Topics: What is Hive? Hive Architecture, Hive Language, What is Hive Metastore?HiveQL, Hive Tables, How to Query Hive Tables?User-Defined Functions

Module 6 : HBase

Topics: HBase Introduction, HBase Architecture, HBase Data Model, HBase Schema Design, HBase and MapReduce, HBase Configuration, HBase Performance, HBase Troubleshooting & Debugging

Module 7 : Common MapReduce Algorithms and Examples

Topics : Sorting and Searching Large Data Sets, Indexing Data, Computing Term Frequency – Inverse, Document Frequency, Calculating Word Co-Occurrence, Performing Secondary Sort

Hadoop Comprehensive Project

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Course Curriculum

Module 1 : Introduction to Hadoop

Topics : What is Big Data?Source of Data, Characteristics of Big Data, Benefits of Big Data analysis, Challenges of Big Data processing, Why Hadoop for Big Data?, An introduction to Hadoop, What is Hadoop not good for?, Hadoop Ecosystem

Module 2 : Hadoop Installation

Topics : Pre-requisites, Hadoop Installation, Checking Installation

Module 3 : MapReduce Framework

Topics: What is MapReduce?How does MapReduce work?MapReduce Program, MapReduce program execution, MapReduce program Unit Testing, Deploying MapReduce on a cluster, Hadoop streaming, Combiner, Partitioner, Counters

Module 4 : HDFS – Hadoop Distributed File System

 Topics : What is HDFS?HDFS Architecture, Data Flow – anatomy of File Read and File Write, What is HDFS Block?Types of Nodes in HDFS, What is HDFS Federation?HDFS High Availability, HDFS Commands – also Parallel Copy, Hadoop Archives

Module 5 : Hive

Topics: What is Hive? Hive Architecture, Hive Language, What is Hive Metastore?HiveQL, Hive Tables, How to Query Hive Tables?User-Defined Functions

Module 6 : HBase

Topics: HBase Introduction, HBase Architecture, HBase Data Model, HBase Schema Design, HBase and MapReduce, HBase Configuration, HBase Performance, HBase Troubleshooting & Debugging

Module 7 : Common MapReduce Algorithms and Examples

Topics : Sorting and Searching Large Data Sets, Indexing Data, Computing Term Frequency – Inverse, Document Frequency, Calculating Word Co-Occurrence, Performing Secondary Sort

Hadoop Comprehensive Project

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