Big Data Hadoop Developer Certification Training
4.3 /5- Offered byIntellipaat
Big Data Hadoop Developer Certification Training at Intellipaat Overview
Duration | 70 hours |
Total fee | ₹17,100 |
Mode of learning | Online |
Difficulty level | Intermediate |
Credential | Certificate |
Future job roles | CRUD, .Net, CSR, Credit risk, Senior Software Developer |
Big Data Hadoop Developer Certification Training at Intellipaat Highlights
- Earn a Certificate after completing the course
- 30 Hrs Instructor Led Training
- 30 Hrs Self-paced Videos
- 60 Hrs Project & Exercises
- Lifetime Free Upgrade
Big Data Hadoop Developer Certification Training at Intellipaat Course details
- Project managers
- Data scientists
- Analytics professionals
- Business intelligence professionals
- Senior IT professionals
- Testing professionals
- 70 hours of High-Quality in-depth Video E-Learning Sessions
- 90 hours of Lab Exercises
- Proprietary Virtual Machine for Lifetime and free cloud access for 180 days for performing exercises
- Hands-on exercises , Project Work , Assignments and Quizzes
- The training will prepare you for Cloudera Big Data Hadoop Certification: CCA Spark and Hadoop Developer, CCAH
- Learn how to work with Horton works and Map R Distributions
- 24*7 Lifetime Support with Rapid Problem Resolution Guaranteed
- Lifetime Access to Videos, Tutorials and Course Material
- Guidance to Resume Preparation and Job Assistance
- Step -by- step Installation of Software
- Course Completion Certificate.
- In this Big Data Hadoop developer online course learner will work on 4 real life projects and prepare for Cloudera Spark and Hadoop Developer Certification (CCA175) Exam
- This Apache Hadoop Developer Certification Training will help learner get a detailed idea about Big Data and Hadoop
Big Data Hadoop Developer Certification Training at Intellipaat Curriculum
Introduction to Big Data & Hadoop and its Ecosystem, Map Reduce and HDFS
What is Big Data
Where does Hadoop fit in
Hadoop Distributed File System ? Replications
Block Size
Secondary Namenode
High Availability
Understanding YARN ? ResourceManager
NodeManager
Difference between 1.x and 2.x
Hadoop Installation & setup
Hadoop 2.x Cluster Architecture
Federation and High Availability
A Typical Production Cluster setup
Hadoop Cluster Modes
Common Hadoop Shell Commands
Hadoop 2.x Configuration Files
Cloudera Single node cluster
Deep Dive in Mapreduce
How Mapreduce Works
How Reducer works
How Driver works
Combiners
Partitioners
Input Formats
Output Formats
Shuffle and Sort
Mapside Joins
Reduce Side Joins
MRUnit
Distributed Cache
Lab exercises :
Working with HDFS
Writing WordCount Program
Writing custom partitioner
Mapreduce with Combiner
Map Side Join
Reduce Side Joins
Unit Testing Mapreduce
Running Mapreduce in Local Job Runner Mode
Graph Problem Solving
What is Graph
Graph Representation
Breadth first Search Algorithm
Graph Representation of Map Reduce
How to do the Graph Algorithm
Example of Graph Map Reduce
Detailed understanding of Pig
Introduction to Pig
Deploying Pig for data analysis
Pig for complex data processing
Performing multi-dataset operations
Extending Pig
Pig Jobs
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