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Detailed Product Description
About Course:
This course is a combo course on Hadoop to provide 360 degree view knowledge on Hadoop and Hadoop eco-system. This course include 4 courses - Hadoop Developer, Administration, Analyst and Testing along with this we provide free Java tutorials required for MapReduce programming.
Key Features:
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Video Tutorial Duration: 85 HRS
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Lab & Project Hrs: 90 HRS
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Access Duration: Lifetime
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Intellipaat Course Completion Certificate
Course Pre- Requisites
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Some prior experience any Programming Language
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Basic commands knowledge of unix , sql scripting
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Prior knowledge of Apache Hadoop is not required
About Intellipaat:
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200,000+ Users Base across the globe.
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In-depth high quality interactive e-learning sessions.
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Multiple assignment, project work and lab exercises for practice.
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24/7 Lifetime access to video tutorials with on-demand training support.
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Job assistance in US, UK, and India.
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Sample resumes preparation along with mock up interview session.
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Intellipaat Course Completion Certificate at the end of the course.
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Professional faculty with more than 18 years of experience in the industry.
Course Content:
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Programming in YARN (MRv2) latest version of Hadoop Release 2.0
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Implementation of HBase, MapReduce Integration, Advanced Usage and Advanced Indexing.
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Advance Map Reduce exercises – examples of Facebook sentiment analysis , LinkedIn shortest path algorithm, Inverted indexing.
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Derive an insight into the field of Data Science
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Understand the Apache Hadoop framework
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Learn to work with Hadoop Distributed File System (HDFS)
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Implement Multi node cluster using 3-4 instances of Amazon ec2.
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Ability to design and develop applications involving large data using Hadoop eco system.
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Differentiate between new as well as old APIs for Hadoop
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Understand how YARN engages in managing compute resources into clusters
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Setting up Hadoop infrastructure with single and multi node cluster on amazon ec2(CDH4).
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Know best practices of using Hadoop in enterprise world
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ETL tool connectivity with Hadoop, real time case studies etc.
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Detailed hands on with Impala for real time queries on Hadoop.
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Writing Hive and Pig Scripts and working with Sqoop.
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Implementation of HBase, MapReduce Integration, Advanced Usage and Advanced Indexing.
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Work on a Real Life Project on Big Data Analytics and gain Hands on Project Experience.
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Implement linked-in algorithms – Identification of Shortest path for 1st level or 2nd level connection using Map Reduce.
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Play with Datasets – Twitter data set for sentiment analysis, Whether dataset, Loan Data set.
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Guidance and Quiz to prepare for Professional Certification exams like – Cloudera, etc.
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Ability to design and develop applications involving large data using Hadoop eco system.
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Optimize Hadoop cluster for the best performance based on specific job requirements
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Monitor a Hadoop cluster and execute routine administration procedures
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Deal with Hadoop component failures and recoveries
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Get familiar with related Hadoop projects: Hbase, Hive and Pig
To get more information, you may want to watch the video below
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