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HADOOP Training in Noida & HADOOP Training Institute in Noida

Getting a job based on hadoop skills set in today’s era means beating the huge crowd, being in a IT corporate world demands a lot from the IT aspirants. Techavera Noida always committed to rendering the Best HADOOP Training in Noida which is extensively based on the latest industry requirements, and standards. In such a dynamic digitized time, Techavera has become one of the Best Hadoop Training Institutes in Noida which is broadly offering a wide array of acquirable HADOOP training, development, and recruitment services in the compelling, required, concrete, and reliable manner. Apparently, this is how the techavera plays a vital role in transforming the naïve students into the well-versed professional which is workable at the workplace effortlessly.

Techavera was startlingly founded in the year of 2013 with a goal of empowering the IT world and producing the budding talents to the IT industry. Techavera aimed at rendering the world-class quality of teaching and recruitment to this world. Being a trusted education, technology partner, techavera has an unbreakable network of recruitment partners including IBM, HCL, WIPRO, MICROSOFT, SAPIENT, or other which collaboratively helps the candidates to get the desired job at the desired location. The Hadoop training course, at techvera, goes parallel with the latest official curriculum of the reputed vendors which include SAP, Red HAT, Microsoft, Cisco, or much more.

At Techavera’s ISO certified 9001:2008 HADOOP Training Center in Noida, here are the majority of the Hadoop aspirants frequently come with an aim to get the industrially acceptable HADOOP grooming, training, development, and recruitment services in the comprehensive, interactive, and consistent manner. On the whole, aspirants will be provided with a number of hadoop course modules, subject material, and real-time stimulations just visualize, realize, and engross the hadoop concepts in the more comprehensive, consistent, and qualitative manner. Hereon, the candidates will be availed with the customizable theoretical, practical, or project classes as per their choice, requirements, or convenience.

Hadoop specialists, at the Techavera, have their fingers on the pulse of the IT industry and are efficient enough to answer the quick questions and are tech-savvy enough in managing the real-time hadoop project. Hadoop specialists are well-equipped with the hadoop technical knowledge, soft- verbal skills, and hands-on practical expertise in the wholesome manner.

When it comes to the quick recruitable hadoop services, the techavera is well-known as the Best HADDOOP Institute in Noida as it is just not only providing a wide range of training, development services but it is also rendering the instantaneous recruitment services within the least possible time frame in the reliable, required, and comprehensive way. The Hadoop Training Course is smartly designed to make the hadoop concepts quite readable, efficacious, understandable, and simplistic. Moreover, Hadoop Course Pay is also quite cost economical as compared to the other hadoop training service provider in the market.

Techavera is the finest fructifying HADOOP Training Institute in Noida with the high-tech HADOOP laboratory and well-structured infrastructure. Herein a hadoop laboratory in the techavera which is well-configured with a number of software, hardware tools that trainees can use while implementing every single concept of Hadoop.

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

Embedded System Training in Noida Reviews

Embedded System Training in Noida
Reviewed by
Ankur Kumar
on
Hi is this Ankur Kumar I have also joined the Techavera solution for Embedded System Training Techavera is really best place for IT course Training student can have excellent knowledge from here

Rating:
5/5 5 Star Rating: Excellent

Embedded System Training in Noida
Reviewed by
Sobhit chouhan
on
My name is Sobhit chouhan I have completed my Embedded System Training from Techavera Noida I found that Techavera is the best place for Embedded System Training they have achieve the good placement record because of their dedicated service

Rating:
4.9/5 4 Star Rating: Very Good

Embedded System Training in Noida
Reviewed by
Rohit thakur
on
33- Hello I am Rohit thakur few day ago I joined the Techavera solution pvt.ltd Noida training center at Techavera I am learning for Embedded System Training I feel that Techavera is best place for my course as Techavera has truly subject expert trainers who make me understand every concept

Rating:
4.5/5 4 Star Rating: Very Good

Techavera solutions Pvt. Ltd. Techavera Solutions Pvt.Ltd.
Education
1 st Floor
Noida , Uttar Pradesh , 201301 India
8506888288
http: //www.techaveranoida.in

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