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Best Hadoop Training in Noida & Best Hadoop Training Institute in Noida
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Join Best Hadoop Training in Noida, Hadoop Course in Noida, Hadoop Institute in Noida
APTRON Noida provides Best Hadoop training in noida based on current industry standards that helps attendees to secure placements in their dream jobs at MNCs. APTRON Provides Best Hadoop Training in Noida. APTRON is one of the most credible Hadoop training institutes in Noida offering hands on practical knowledge and full job assistance with basic as well as advanced level Hadoop training courses. At APTRON Hadoop training in noida is conducted by subject specialist corporate professionals with 7+ years of experience in managing real-time Hadoop projects. APTRON implements a blend of aHadoopemic learning and practical sessions to give the student optimum exposure that aids in the transformation of naïve students into thorough professionals that are easily recruited within the industry.
At APTRON’s well-equipped Hadoop training center in Noida aspirants learn the skills for Hadoop Basic Concepts/Fundamentals, Hadoop Architecture & Building Blocks, HDFS and MapReduce, Job Monitoring, Scheduling, Sorting, Exercise, HBase Architecture Training on real time projects along with Hadoop placement training. Hadoop Training in Noida has been designed as per latest industry trends and keeping in mind the advanced Hadoop course content and syllabus based on the professional requirement of the student; helping them to get placement in Multinational companies and achieve their career goals.
APTRON is the biggest Hadoop training center in Noida with high tech infrastructure and lab facilities and the options of opting for multiple courses at Noida Location. APTRON in Noida prepares thousands of aspirants for Hadoop at reasonable fees that is customized keeping in mind training and course content requirement of each attendee.
Hadoop training course involves "Learning by Doing" using state-of-the-art infrastructure for performing hands-on exercises and real-world simulations. This extensive hands-on experience in Hadoop training ensures that you absorb the knowledge and skills that you will need to apply at work after your placement in an MNC.
APTRON Noida is one of the best Hadoop training institute in Noida with 100% placement support. APTRON has well defined course modules and training sessions for students. At APTRON Hadoop training is conducted during day time classes, weekend classes, evening batch classes and fast track training classes.
Hadoop Course Fee and Duration
Track |
Regular Track |
Weekend Track |
Fast Track |
Course Duration |
45 - 60 Days |
8 Weekends |
5 Days |
Hours |
2 hours a day |
3 hours a day |
6+ hours a day |
Training Mode |
Live Classroom |
Live Classroom |
Live Classroom |
This is an approximate course fee and duration for Hadoop. Please contact our team for current Hadoop course fee and duration.
Schedule does not suit you, call us now! or Want to take one-on-one training, call us now!
Course Content and Syllabus for Hadoop Training in Noida
Hadoop Course Content
- Hadoop Overview, Architecture Considerations, Infrastructure, Platforms and Automation
Use case walkthrough
- ETL
- Log Analytics
- Real Time Analytics
Hbase for Developers :
NoSQL Introduction
- Traditional RDBMS approach
- NoSQL introduction
- Hadoop & Hbase positioning
Hbase Introduction
- What it is, what it is not, its history and common use-cases
- Hbase Client – Shell, exercise
Hbase Architecture
- Building Components
- Storage, B+ tree, Log Structured Merge Trees
- Region Lifecycle
- Read/Write Path
Hbase Schema Design
- Introduction to hbase schema
- Column Family, Rows, Cells, Cell timestamp
- Deletes
- Exercise - build a schema, load data, query data
Hbase Java API – Exercises
- Connection
- CRUD API
- Scan API
- Filters
- Counters
- Hbase MapReduce
- Hbase Bulk load
Hbase Operations, cluster management
- Performance Tuning
- Advanced Features
- Exercise
- Recap and Q&A
MapReduce for Developers
Introduction
- Traditional Systems / Why Big Data / Why Hadoop
- Hadoop Basic Concepts/Fundamentals
Hadoop in the Enterprise
- Where Hadoop Fits in the Enterprise
- Review Use Cases
Architecture
- Hadoop Architecture & Building Blocks
- HDFS and MapReduce
Hadoop CLI
MapReduce Programming
- Fundamentals
- Anatomy of MapReduce Job Run
- Job Monitoring, Scheduling
- Sample Code Walk Through
- Hadoop API Walk Through
- Exercise
MapReduce Formats
- Input Formats, Exercise
- Output Formats, Exercise
Hadoop File Formats
MapReduce Design Considerations
Hadoop File Formats
MapReduce Algorithms
- Walkthrough of 2-3 Algorithms
MapReduce Features
- Counters, Exercise>
- Map Side Join, Exercise
- Reduce Side Join, Exercise
- Sorting, Exercise
Use Case A (Long Exercise)
- Input Formats, Exercise
- Output Formats, Exercise
MapReduce Testing
Hadoop Ecosystem
- Oozie
- Flume
- Sqoop
- Exercise 1 (Sqoop)
- Streaming API
- Exercise 2 (Streaming API)
- Hcatalog
- Zookeeper
HBase Introduction
- Introduction
- HBase Architecture
VIEW Types
- Default Views
- Overriden Views
- Normal Views
MapReduce Performance Tuning
Development Best Practice and Debugging
Apache Hadoop for Administrators
Hadoop Fundamentals and Architecture
- Why Hadoop, Hadoop Basics and Hadoop Architecture
- HDFS and Map Reduce
Hadoop Ecosystems Overview
- Hive
- Hbase
- ZooKeeper
- Pig
- Mahout
- Flume
- Sqoop
- Oozie
Hardware and Software requirements
- Hardware, Operating System and Other Software
- Management Console
Deploy Hadoop ecosystem services
- Hive
- ZooKeeper
- HBase
- Administration
- Pig
- Mahout
- Mysql
- Setup Security
Enable Security – Configure Users, Groups, Secure HDFS, MapReduce, HBase and Hive
- Configuring User and Groups
- Configuring Secure HDFS
- Configuring Secure MapReduce
- Configuring Secure HBase and Hive
Manage and Monitor your cluster
Command Line Interface
Troubleshooting your cluster
Introduction to Big Data and Hadoop
Hadoop Overview
- Why Hadoop
- Hadoop Basic Concepts
- Hadoop Ecosystem – MapReduce, Hadoop Streaming, Hive, Pig, Flume, Sqoop, Hbase, Oozie, Mahout
- Where Hadoop fits in the Enterprise
- Review use cases
Apache Hive & Pig for Developers
Overview of Hadoop
- Why Hadoop
- Hadoop Basic Concepts
- Hadoop Ecosystem – MapReduce, Hadoop Streaming, Hive, Pig, Flume, Sqoop, Hbase, Oozie, Mahout
- Where Hadoop fits in the Enterprise
- Review use cases
Overview of Hadoop
- Big Data and the Distributed File System
- MapReduce
Hive Introduction
- Why Hive?
- Compare vs SQL
- Use Cases
Hive Architecture – Building Blocks
- Hive CLI and Language (Exercise)
- HDFS Shell
- Hive CLI
- Data Types
- Hive Cheat-Sheet
- Data Definition Statements
- Data Manipulation Statements
- Select, Views, GroupBy, SortBy/DistributeBy/ClusterBy/OrderBy, Joins
- Built-in Functions
- Union, Sub Queries, Sampling, Explain
Hive Architecture – Building Blocks
- Hive CLI and Language (Exercise)
- HDFS Shell
- Hive CLI
- Data Types
- Hive Cheat-Sheet
- Data Definition Statements
- Data Manipulation Statements
- Select, Views, GroupBy, SortBy/DistributeBy/ClusterBy/OrderBy, Joins
- Built-in Functions
- Union, Sub Queries, Sampling, Explain
Hive Architecture – Building Blocks
- Hive CLI and Language (Exercise)
- HDFS Shell
- Hive CLI
- Data Types
- Hive Cheat-Sheet
- Data Definition Statements
- Data Manipulation Statements
- Select, Views, GroupBy, SortBy/DistributeBy/ClusterBy/OrderBy, Joins
- Built-in Functions
- Union, Sub Queries, Sampling, Explain
Hive Usecase implementation -(Exercise)
- Use Case 1
- Use Case 2
- Best Practices
Advance Features
- Transform and Map-Reduce Scripts
- Custom UDF
- UDTF
- SerDe
- Recap and Q&A
Pig Introduction
- Position Pig in Hadoop ecosystem
- Why Pig and not MapReduce
- Simple example (slides) comparing Pig and MapReduce
- Who is using Pig now and what are the main use cases
- Pig Architecture
- Discuss high level components of Pig
- Pig Grunt - How to Start and Use
Pig Latin Programming
- Data Types
- Cheat sheet
- Schema
- Expressions
- Commands and Exercise
- Load, Store, Dump, Relational Operations,Foreach, Filter, Group, Order By, Distinct, Join, Cogroup,Union, Cross, Limit, Sample, Parallel
Use Cases (working exercise)
- Use Case 1
- Use Case 2
- Use Case 3 (compare pig and hive)
Advanced Features, UDFs
Best Practices and common pitfalls
Mahout & Machine Learning
- Mahout Overview
- Mahout Installation
- Introduction to the Math Library
- Vector implementation and Operations (Hands-on exercise)
- Matrix Implementation and Operations (Hands-on exercise)
- Anatomy of a Machine Learning Application
Classification
- Introduction to Classification
- Classification Workflow
- Feature Extraction
- Classification Techniques (Hands-on exercise)
Evaluation (Hands-on exercise)
- Clustering
- Use Cases
- Clustering algorithms in Mahout
- K-means clustering (Hands-on exercise)
- Canopy clustering (Hands-on exercise)
Clustering
- Mixture Models
- Probabilistic Clustering – Dirichlet (Hands-on exercise)
- Latent Dirichlet Model (Hands-on exercise)
- Evaluating and Improving Clustering quality (Hands-on exercise)
- Distance Measures (Hands-on exercise)
Recommendation Systems
- Overview of Recommendation Systems
- Use cases
- Types of Recommendation Systems
- Collaborative Filtering (Hands-on exercise)
- Recommendation System Evaluation (Hands-on exercise)
- Similarity Measures
- Architecture of Recommendation Systems
- Wrap Up
Top 20 Reasons to Choose APTRON for Hadoop Training in Noida
- Hadoop training in noida is designed according to current IT market.
- Offer the best Hadoop training and placement in noida with well defined training modules and course sessions.
- Facilitate regular, weekend and customized Hadoop training in noida..
- One of the biggest team of certified expert trainers with 5 to 15 years of real industry experience.
- Mentors of Hadoop training in noida helps in major project training, minor project training, live project preparation, interview preparation and job placement support.
- Smart labs with real latest equipments.
- 24x7 lab facilities. Students are free to access the labs for unlimited number of hours as per their own preferred timings.
- Smart classrooms fully equipped with projectors, live racks, Wi-Fi connectivity, digital pads.
- Silent and discussion zone areas in labs to enhance self study and group discussions.
- Free of cost personality development sessions including spoken english, group discussions, mock interviews, presentation skills.
- Free of cost seminars for personality development & personal presentation.
- Varity of Study Material: Books, PDF's, Video Lectures, Sample questions, Interview Questions (Technical and HR), and Projects.
- Hostel facilities available at Rs.4,500/- per month for Hadoop training in noida.
- Free Study Material, PDFs, Video Trainings, Sample Questions, Exam Preparation, Interview Questions, Lab Guides.
- Globally recognized course completion certificate.
- Extra Time Slots (E.T.S.) for Practical's (Unlimited), Absolutely Free.
- The ability to retake the class at no-charge as often as desired.
- One-on-One attention by instructors.
- Helps students to take knowledge of complex technical concepts.
- Payment options: Cheque, Cash, Credit Card, Debit card, Net Banking.
APTRON Trainer's Profile for Hadoop Training in Noida
APTRON'S Hadoop Trainers are:
- Are truly expert and fully up-to-date in the subjects they teach because they continue to spend time working on real-world industry applications.
- Have received awards and recognition from our partners and various recognized IT Organizations.
- Are working professionals working in multinational companies such as HCL Technologies, Birlasoft, TCS, IBM, Sapient, Agilent Technologies etc.
- Are certified Professionals with 7+ years of experience.
- Are Well connected with Hiring HRs in multinational companies.
Placement Assistance after Hadoop Training in Noida
APTRON'S Placement Assistance
- APTRON is the leader in offering placement to the students, as it has a dedicated placement wing which caters to the needs of the students during placements.
- APTRON helps the students in the development of their RESUME as per current industry standards.
- APTRON conducts Personality Development sessions including Spoken English, Group Discussions, Mock Interviews, Presentation skills to prepare students to face challenging interview situation with ease.
- APTRON has prepared its students to get placed in top IT FIRMS like HCL, TCS, Infosys, Wipro, Accenture and many more.