- Our hadoop certification training is an instructor-led live online class.
- Our online course covers everything from Introduction to Big Data and Hadoop to advanced topics to help you become proficient in Big Data/Hadoop.
- A detailed explanation and practical examples with special emphasis on HDFS and MapReduce.
- What is Apache Spark, and understanding its Architecture.
- Introduction to Spark-core, understanding the Basic component of Spark -RDD
- Creating RDDs, Operations in RDD
- Creating functions in Spark and passing parameters
- Understanding RDD Transformations and Actions, Understanding RDD Persistence and Caching
- Examples for RDDs
- Examples of Spark SQL
- Work on Pig, Apache Hive, Apache HBase, and various other Big Data Hadoop related topics in an easy to understand manner.
- Hands on assignments for thorough understanding of concepts.
- Real-time Proof of Concept.
- Included in our training are free Core Java class videos.
- Practice on software tools to gain hands-on experience.
- Work on real time project related scenarios and examples to give you the feel of real work environment.
- Group discussions, Mock interview sessions, and Interview questions to prepare you to attend interviews confidently.
- Access to Instructor through email to address any questions.
- Lifetime access to the Big Data Hadoop Online Training to help you get comfortable with all the concepts and information.
- Training Material and Recorded Videos for a complete learning experience.
- Guidance on Interview and Resume Preparation.
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Introduction to Hadoop and Big Data
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HDFS: Hadoop Distributed File System
- Significance of HDFS in Hadoop
- Features of HDFS
- 5 daemons of Hadoop
- Name Node and its functionality
- Data Node and its functionality
- Secondary Name Node and its functionality
- Job Tracker and its functionality
- Task Tracker and its functionality
- Data Storage in HDFS
- Introduction about Blocks
- Data replication
- Accessing HDFS
- CLI (Command Line Interface) and admin commands
- Java Based Approach
- Fault tolerance
- Download Hadoop
- Installation and set-up of Hadoop
- Start-up & Shut down process
- HDFS Federation
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MapReduce
- Map Reduce Story
- Map Reduce Architecture
- How Map Reduce works
- Developing Map Reduce
- Map Reduce Programming Model
- Different phases of Map Reduce Algorithm
- Different Data types in Map Reduce
- how Write a basic Map Reduce Program
- Driver Code
- Mapper
- Reducer
- Creating Input and Output Formats in Map Reduce Jobs
- Text Input Format
- Key Value Input Format
- Sequence File Input Format
- Data localization in Map Reduce
- Combiner (Mini Reducer) and Partitioner
- Hadoop I/O
- Distributed cache
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PIG
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HIVE
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HBASE
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SQOOP
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Flume
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SPARK WITH SCALA
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Interview Preparation
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