BIG DATA & HADOOP TRAINING IN PUNE WITH 100% PLACEMENT
BEST BIG DATA & HADOOP TRAINING IN PUNE
Hadoop is an open-source data management software framework for storage and large-scale processing of data-sets on clusters of commodity hardware. A Hadoop cluster is a special type of computational cluster designed specifically for storing and analyzing huge amounts of redundant data structure in a distributed computing environment.
Why to prefer Training Institute Pune?
Training Institute Pune is leading institute offering Big Data classes & Hadoop classes in Kothrud, Pune. Training course is designed to provide you basic & advance knowledge to become a successful Big Data & Hadoop Developer, data analysts and administrators. Fresher’s & Experienced professionals can to make a career in Big Data Analytics using Hadoop Framework. We offer a comprehensive course which contains most commonly used Hadoop methodologies so that candidate will be completely equipped to enter the industry & get complete knowledge of Hadoop.
Our Other Branches in Pune
- Kothrud
- Hadapsar
- Shivaji Nagar
- Wakad
- Pimpri Chinchwad
Key Features
- There are 3 training centers where you can appear as per your convenience in Kothrud, Shivajinagar and Wakad.
- Learn Big Data Hadoop the most needed technology for IT Professionals from industrial experienced trainer
- Weekend batches as per your suitability of individuals.
- Live Projects to follow up and get hands-on to solidify your understanding
- Give a personalized attention to each & every candidate during the training sessions.
- We have limited our batch sizes to a maximum of 10.
- We have qualified & certified trainers who are working hands-on Big Data Hadoop.
- Interactive sessions with industry experts
- We provide 100% Job Assistance after completion of training program
- There are 3 training centers where you can appear as per your convenience in Kothrud, Shivajinagar and Wakad.
- If you are located in Kothrud or nearby areas like Karve Nagar, Warje-Malwadi, Bhusari Colony etc. then our branch in located a short distance away from you i.e. Vanaz Corner, Kothrud.
- If you are located in Pimpri Chinchwad or nearby areas like Pimple Saudagar, Wakad, Chinchwad, Balewadi, Sangvi, Dapodi etc. then you can visit our branch in Wakad near Kalewadi Phata.
- If you are located in Shivajinagar or nearby areas then you can visit our branch in Fergusson College Road, Shivajinagar.
Key Features
Job Assistance
We provide 100% Job Assistance after completion of training program
Experienced Trainers
Learn from experienced digital marketing professional
Live Projects
Live Projects in practical sessions.
Suitable Batches
Weekdays & Weekend batches as per your suitability.
Internship Programs
Conduct Internship Programs beneficial for fresher level candidate.
Personalized Attention
Batches with limited seats so that we can give a personalized attention to each & every candidate during the training sessions.
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WHO SHOULD ATTEND?
- Analytics Professionals
- IT Professionals
- Software Testing Professionals
- Mainframe Professionals
- Software Developers & Architects
- Graduates who are willing to build a career in Big Data
TOPICS COVERED
- The Motivation for Hadoop
- Problems with traditional large-scale systems
- Requirements for a new approach
- Hadoop: Basic Concepts
- What is Hadoop?
- The Hadoop Distributed File System
- Hadoop Map Reduce Works
- Anatomy of a Hadoop Cluster
- Hadoop demons
- Master Daemons
- Name node
- Job Tracker
- Secondary name node
- Slave Daemons
- Job tracker
- Task tracker
HDFS (Hadoop Distributed File System)
- Blocks and Splits
- Input Splits
- HDFS Splits
- Data Replication
Hadoop Administration:
- Setup Hadoop cluster (Apache & Cloudera)
- Pseudo-distributed Mode
- Make a fully distributed Hadoop cluster on a single laptop/desktop
- Install and configure Apache Hadoop on a multi node cluster in lab
- Install and configure Cloudera Hadoop distribution in fully distributed mode
- Monitoring the cluster
- Getting used to management console of Cloudera
- Name Node in Safe mode
- Meta Data Backup
- Ganglia and Nagios – Cluster monitoring
Hadoop Development: Writing a MapReduce Program
- Examining a Sample MapReduce Program
- With several examples
- Basic API Concepts
- The Driver Code
- The Mapper
- The Reducer
- Hadoop’s Streaming API
Debugging MapReduce Programs
- Testing with MRUnit
- Logging
- Other Debugging Strategies.
Advanced MapReduce Programming
- The Secondary Sort
- Customized Input Formats and Output Formats
- Joins in MapReduce
Performing several Hadoop jobs
- The configure and close Methods
- Sequence Files
- Record Reader
- Record Writer
- Role of Reporter
- Output Collector
- Counters
- Directly Accessing HDFS
- ToolRunner
- Using The Distributed Cache
Hadoop Analyst Hive
- Hive concepts
- Hive architecture
- Install and configure hive on cluster
- Different type of tables in hive
- Hive library functions
- Buckets
- Partitions
- Joins in hive
- Inner joins & Outer Joins
- Hive UDF
PIG
- Pig basics
- Install and configure PIG on a cluster
- PIG Library functions
- Pig Vs Hive
- Write sample Pig Latin scripts
- Modes of running PIG
- Running in Grunt shell
- Running as Java program
- PIG UDFs
- Pig Macros
- Debugging PIG
HBase
- HBase concepts
- HBase architecture
- HBase basics
- Region server architecture
- File storage architecture
- Column access
- Scans
- Install and configure HBase on a multi node cluster
- Create database, Develop and run sample applications
- Access data stored in HBase using clients like Java, Python and Pearl
- Map Reduce client to access the HBase data
- HBase admin tasks
Sqoop
- Install and configure Sqoop on cluster
- Connecting to RDBMS
- Installing MySQL
- Import data from Oracle/MySQL to hive
- Export data to Oracle/MySQL
- Internal mechanism of import/export
Oozie
- Oozie architecture
- XML file specifications
- Install and configuring Oozie and Apache
- Specifying Work flow
- Action nodes
- Control nodes
- Oozie job coordinator
Zookeeper CDH4 Enhancements:
- Name Node High – Availability
- Name Node federation
- Fencing
MapReduce Version –2
TIP's Hadoop Training Pune BATCHES & WORKSHOPS
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FAQ
Hadoop is open source framework which provides unlimited storage for distributed file system for big data. Big data means really a big data; it is a collection of large datasets that cannot be processed using traditional computing techniques.
Anyone who has knowledge on Java, basic UNIX and basic SQL can opt for the Big Data and Hadoop training program.
8 Weekends | 2-3 Hrs. (Sat-Sun)
Knowledge of core java concepts is the pre-requisite for this course. Anyone who has knowledge on Java, basic UNIX and basic SQL can opt for the Big Data and Hadoop training course.
Yes! You will be offered 100% Job Assistance after completion of course.
- Classes are limited to 10 students to provide personalized training instead of huge batch system.
- Learn latest techniques
- Provide hands-on training on live projects.
- Offer Internship programs mostly beneficial for job seekers.
- We provide training and consulting services.
- Weekend batches best suited for students or working professionals.
- 100% JOB Assistance
After completing inquiry for Big Data & Hadoop course you can enroll yourself by registering online OR manually. Our consultant will guide you for enrolling process.
Yes! We organize a weekend batches with flexible timing for big data training sessions as per requirement of candidate.
Yes! We have another Big Data Hadoop training center located at Wakad near Kalewadi Phata in Pune. You can check out address on our Contact Us Page.
