HADOOP Training in Noida & HADOOP Training Institute in Noida

TECHAVERA Noida offers the best Hadoop training in Noida. With experienced Hadoop professionals/trainers, who will help students to learn Hadoop by making it a lightweight to the corporate standards that will help students to be prepare for the goal. We at TECHAVERA, the best institute for Hadoop Training in Noida help students to learn Hadoop with the help of live base projects. It is one of the most credible Hadoop Training Institute in Noida offering hands on practical knowledge and full time job assistance with both basic and advanced training courses in the top most MNCs.

At TECHAVERA, we help students to understand the fundamental and advanced concept of Hadoop, we prepare them for a successful career. We have successfully trained thousands of students in Noida and have been able to turn ourselves into an institute for the best Hadoop Training Institute for Hadoop . At TECHAVERA Hadoop Training in Noida is conducted by professionals with years of experience in managing real time Hadoop projects. TECHAVERA offers Hadoop Training in various different modes i.e. Hadoop Online Training, Classroom Training, Hadoop Corporate Training, Fast Track Training and one-to-one training. Our experiences professions have designed our Hadoop Training syllabus to match with the real world requirements and leading Industry norms.

TECHAVERA implements a sweet blend of a Hadoop learning program and practical sessions to give our students optimum exposure that aids in transformation of students into a professionals. With world-class infrastructure and latest facilities, we are the best institute in Noida for Hadoop . We prepare thousands of students for the Hadoop Classes in Noida at reasonable fees that is designed as per the student needs.

Our Hadoop Training syllabus basics of the Overview of Hadoop, 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, Hadoop training in Noida on real time projects along with Hadoop Placement Training in Noida.

Begin your career by taking Hadoop classes in Noida with certified professional with 10+ years of experience in real industry. Our Professionals are subject specialists and are up-to-date in the subject they have the ability to deliver the best knowledge as they have continued to spend time in the Industry so far. They are well connected with MNCs by hiring Human Resource managers for providing the placement as soon as possible. Our professionals will help student/ understudies to develop the ability of current industry norms and standards to get the success for their dream job.

While there are a number of institutes offering Hadoop Training in Noida, TECHAVERA is one of the best Hadoop training institute in Noida with 100% placement support. We have a decent record for placing our students and have been placed in many IT firms and progressive start-up organizations. Our course is designed for beginners and give hands on practice where students can focus on solving Hadoop concepts easily. We have managed to stay in the top position. Our motto is to focus on creating a learning environment with comparatively less fees, tough well-defined course structures, well equipped Training labs, world-class infrastructure that overall helps students for a better learning. TECHAVERA is the leader in placing students in the top MNCs.

What are you waiting for? Get in touch with us today to book your seat and know more about the available courses!

HERE IS THE HADOOP COURSE CONTENT AT THE TECHVERA INSTITUTE:

Hadoop Course Content

1. Overview Hadoop, Architecture Considerations, Infrastructure, Platforms and Automation

Use case walkthrough

1. ETL
2. Log Analytics
3. Real Time Analytics

HBase for Developers:

NoSQL Introduction

1. Traditional RDBMS approach
2. NoSQL introduction
3. Hadoop & HBase positioning

HBase Introduction

1. What it is, history and common use-cases
2. HBase Client – Shell, exercise

HBase Architecture

1. Building Components
2. Storage, B+ tree, Log Structured Merge Trees
3. Region Lifecycle
4. Read/Write Path

HBase Schema Design

1. Introduction to HBase schema
2. Column Family, Rows, Cells, Cell timestamp
3. Deletes
4. Exercise - schema, data-load , query data

HBase Java API – Exercises

1. Connection
2. CRUD API
3. Scan API
4. Filters
5. Counters
6. HBase MapReduce
7. HBase Bulk load

HBase Operations, cluster management

1. Performance Tuning
2. Advanced Features
3. Exercise
4. Recap and Q&A

MapReduce for Developers

Introduction

1. Traditional Systems / Why Big Data / Why Hadoop
2. Hadoop Basic Concepts/Fundamentals

Hadoop in the Enterprise

1. Where Hadoop Fits in the Enterprise
2. Review Use Cases

Architecture

1. Hadoop Architecture & Building Blocks
2. HDFS and MapReduce

Hadoop CLI

1. Walkthrough
2. Exercise

MapReduce Programming

1. Fundamentals
2. Anatomy of MapReduce Job Run
3. Job Monitoring, Scheduling
4. Sample Code Walk Through
5. Hadoop API Walk Through
6. Exercise

MapReduce Formats

1. Input Formats, Exercise
2. Output Formats, Exercise

Hadoop File Formats

MapReduce Design Considerations

Hadoop File Formats

MapReduce Algorithms

1. Walkthrough of 2-3 Algorithms

MapReduce Features

1. Counters, Exercise
2. Map Side Join, Exercise
3. Reduce Side Join, Exercise
4. Sorting, Exercise

Use Case A (Long Exercise)

1. Input Formats, Exercise
2. Output Formats, Exercise

MapReduce Testing

Hadoop Ecosystem

1. Oozie
2. Flume
3. Sqoop
4. Exercise 1 (Sqoop)
5. Streaming API
6. Exercise 2 (Streaming API)
7. Hcatalog
8. Zookeeper

HBase Introduction

1. Introduction
2. HBase Architecture

VIEW Types

1. Default Views
2. Overridden Views
3. Normal Views

MapReduce Performance Tuning

Development Best Practice and Debugging

Apache Hadoop for Administrators

Hadoop Fundamentals and Architecture

1. Why Hadoop, Hadoop Basics and Hadoop Architecture
2. HDFS and Map Reduce

Hadoop Ecosystems Overview

1. Hive
2. Hbase
3. ZooKeeper
4. Pig
5. Mahout
6. Flume
7. Sqoop
8. Oozie

Hardware and Software requirements

1. Hardware, Operating System and Other Software
2. Management Console

Deploy Hadoop ecosystem services

1. Hive
2. ZooKeeper
3. HBase
4. Administration
5. Pig
6. Mahout
7. MySQL
8. Setup Security

Enable Security – Configure Users, Groups, Secure HDFS, MapReduce, HBase and Hive

1. Configuring User and Groups
2. Configuring Secure HDFS
3. Configuring Secure MapReduce
4. Configuring Secure HBase and Hive

Manage and Monitor your cluster

Command Line Interface

Troubleshooting your cluster

Introduction to Big Data and Hadoop

Hadoop Overview

1. Why Hadoop
2. Hadoop Basic Concepts
3. Hadoop Ecosystem – MapReduce, Hadoop Streaming, Hive, Pig, Flume, Sqoop, Hbase, Oozie, Mahout
4. Where Hadoop fits in the Enterprise
5. Review use cases

Apache Hive & Pig for Developers

Overview of Hadoop

1. Why Hadoop
2. Hadoop Basic Concepts
3. Hadoop Ecosystem – MapReduce, Hadoop Streaming, Hive, Pig, Flume, Sqoop, Hbase, Oozie, Mahout
4. Where Hadoop fits in the Enterprise
5. Review use cases

Overview of Hadoop

1. Big Data and the Distributed File System
2. MapReduce

Hive Introduction

1. Why Hive?
2. Compare vs SQL
3. Use Cases

Hive Architecture – Building Blocks

1. Hive CLI and Language (Exercise)
2. HDFS Shell
3. Hive CLI
4. Data Types
5. Hive Cheat-Sheet
6. Data Definition Statements
7. Data Manipulation Statements
8. Select, Views, Group By, Sort By/Distribute By/Cluster By/Order By, Joins
9. Built-in Functions
10. Union, Sub Queries, Sampling, Explain

Hive Architecture – Building Blocks

1. Hive CLI and Language (Exercise)
2. HDFS Shell
3. Hive CLI
4. Data Types
5. Hive Cheat-Sheet
6. Data Definition Statements
7. Data Manipulation Statements
8. Select, Views, Group By, Sort By/Distribute By/Cluster By/Order By, Joins
9. Built-in Functions
10. Union, Sub Queries, Sampling, Explain

Hive Architecture – Building Blocks

1. Hive CLI and Language (Exercise)
2. HDFS Shell
3. Hive CLI
4. Data Types
5. Hive Cheat-Sheet
6. Data Definition Statements
7. Data Manipulation Statements
8. Select, Views, Group By, Sort By/Distribute By/Cluster By/Order By, Joins
9. Built-in Functions
10. Union, Sub Queries, Sampling, Explain

Hive Usecase implementation -(Exercise)

1. Use Case 1
2. Use Case 2
3. Best Practices

Advance Features

1. Transform and Map-Reduce Scripts
2. Custom UDF
3. UDTF
4. SerDe
5. Recap and Q&A

Pig Introduction

1. Position Pig in Hadoop ecosystem
2. Why Pig and not MapReduce
3. Simple example (slides) comparing Pig and MapReduce
4. Who is using Pig now and what are the main use cases
5. Pig Architecture
6. Discuss high level components of Pig
7. Pig Grunt - How to Start and Use

Pig Latin Programming

1. Data Types
2. Cheat sheet
3. Schema
4. Expressions
5. Commands and Exercise
6. Load, Dump, Relational-Operations, Store, Foreach, Group, Order-By, Distinct, Filter, Join, Cogroup, Union, Cross, Limit, Sample, Parallel

Use Cases (working exercise)

1. Use Case 1
2. Use Case 2
3. Use Case 3 (compare pig and hive)

Advanced Features, UDFs

Best Practices and common pitfalls

Mahout & Machine Learning

1. Mahout Overview
2. Mahout Installation
3. Introduction to the Math Library
4. Vector implementation and Operations (Hands-on exercise)
5. Matrix Implementation and Operations (Hands-on exercise)
6. Anatomy of a Machine Learning Application

Classification

1. Introduction to Classification
2. Classification Workflow
3. Feature Extraction
4. Classification Techniques (Hands-on exercise)

Evaluation (Hands-on exercise)

1. Clustering
2. Use Cases
3. Clustering algorithms in Mahout
4. K-means clustering (Hands-on exercise)
5. Canopy clustering (Hands-on exercise)

Clustering

1. Mixture Models
2. Probabilistic Clustering – Dirichlet (Hands-on exercise)
3. Latent Dirichlet Model (Hands-on exercise)
4. Evaluating and Improving Clustering quality (Hands-on exercise)
5. Distance Measures (Hands-on exercise)

Recommendation Systems

1. Overview of Recommendation Systems
2. Use cases
3. Types of Recommendation Systems
4. Collaborative Filtering (Hands-on exercise)
5. Recommendation System Evaluation (Hands-on exercise)
6. Similarity Measures
7. Architecture of Recommendation Systems
8. Wrap Up

TOP 20 REASONS —WHY TO CHOOSE THE TECHAVERA INSTITUTE FOR THE HADOOP  TRAINING

1. HADOOP Training in Noida is especially aimed to aid the trainees so as to provide the best HADOOP  Training in Noida in no time in the comprehensive, concrete, and interactive manner.
2. The HADOOP training in Noida is exclusively designed to beat the current IT market.
3. The HADOOP trainers are well-equipped with the technical skills, knowledge, and expertise. 
4. Techavera’s HADOOP Training Institute in Noida offers the excellent services ranging from the IT training to development to the placement services.
5. The trainee would have the simplistic training modules so as to comprehend the concept in an effective manner.
6. Facilitator of the HADOOP Training Institute in Noida always tries to provide all kinds of technical requirements which need to be availed in order to fulfill all the real-time essentials
7. Highly conducive-cum-charging environment one can have in the ambience of the TECHAVERA.
8. The working professionals or corporate clientele can put up their queries to our corporate faculty.  
9. 24x7 lab facilities, the trainees are completely free to access the lab illimitably.
10. The smart HADOOP  classes in Noida are excitingly equipped with the digital pads, Wi-Fi connectivity, live racks, and projectors. The HADOOP  classes in Noida are customizable as per candidate’s desired timing. 
11. The smart labs are equipped with the hi-fi equipments, and high-end tools.
12. The trainees can opt for the major, minor, or online live projects as per their convenience and ease.
13. The HADOOP  Courses are an efficacious source of learning as these contain the well-defined number of course modules which are specially designed with the help of communicative, pictorial charts, graphs, and diagrams. The HADOOP  Courses’ content is combined, merged with the leading industry vendors.
14. A greater source of assistance in today’s cognitive era.
15. An ease of accessibility as the fastest the metro station conveyance is all-available in front of the techavera institute.
16. The training fee affordability.
17. HADOOP Training Noida, at techavera, is the most suitable spot to visit as the metro station is right in front of the techavera institute. For those who are living at the distant place will find the HADOOP  training Noida as the most suitable spot.    
18. Manageability as every single department such as HR, accounting, lab, training classes, management or lots more is anonymously systematized.  
19. The trainees can have the silent/discussion zone as per their desire and ease.
20. Extra time slots (E.T.S) for practicals are absolutely free.
21. There are a number of payment options that one can go for—cash, credit, cheque, debit card, and net banking.

THE PROFILE OF THE TECHVERA TRAINERS FOR HADOOP  TRAINING IS GIVEN BELOW:

1. The trainers, at Techavera’s HADOOP training institute in Noida, have the long-served and hands-on experience in the technical field.
2. Get the expert consultation at your finger tips.
3. The trainers are highly certified, qualified, and proficient experts who have 8+ experiences in the technical domain.
4. Get the smart consultation within a least possible time frame.
5. The trainers have worked in the well-known companies like IBM, HCL, Birla, sapient, Agilent technology, TCS.
6. They are quite connectible with the hiring HRs of the multinational companies.

PLACEMENT ASSISTANCE AFTER THE HADOOP  TRAINING 

1. Techavera is the Best HADOOP Training Center in Noida, and is providing a wide array of placement services in different part of the world in the shortest possible time.
2. Techavera assists the jobseekers to improvise/update their resume just to meet the current standard of the market in the best possible manner.
3. Placement trainers conduct the PDS (personality development sessions) to the jobseekers so as to get the desired job shortly.
4. Techavera has been dedicatedly placing its students in the reputed IT-firms like TCS, HCL, IBM, sapient, or Birla.

Testimonial