Best Hadoop & Big Data Training in Noida
COURSE CROWN Noida provides Best Hadoop training in Noida based on current industry standards that helps attendees to secure placements in their vision jobs at MNCs. COURSE CROWN Provides Best Hadoop Training in Noida. COURSE CROWN is one of the most believable Hadoop training institutes in Noida offering hands on sensible knowledge and full job assistance with essential as well as advanced level Hadoop training courses. At COURSE CROWN Hadoop Course in Noida is conduct by subject expert corporate professionals with 5+ years of experience in managing real-time Hadoop projects. COURSE CROWN implements a blend of a Hadoopemic learning and practical session to give the student best exposure that aids in the transformation of naïve students into methodical professionals that are simply recruited within the industry.
At COURSE CROWN’s well-equipped Hadoop training center in Noida aspirants learn the skills for Hadoop Basic Concepts/Fundamentals, HDFS and MapReduce, Hadoop Architecture & Building Blocks, Job Monitoring, Scheduling, Sorting, Exercise, HBase Architecture Training on real time projects along with Hadoop 100% placement training. Hadoop Training in Noida has been designed as per newest industry trends and keeping in mind the advanced Hadoop course content and syllabus base on the professional obligation of the student; helping them to find placement in Multinational companies and attain their career goals.
COURSE CROWN is the main Hadoop training center in Noida with best infrastructure and lab facilities and the options of opting for multiple courses at Noida Location. COURSE CROWN in Noida prepare thousands of aspirants for Hadoop at sensible fees that is customized keeping in mind training and course happy requirement of each attendee.
Hadoop training course involves “knowledge by Doing” using state-of-the-art infrastructure for drama hands-on exercises and real-world simulation. This extensive hands-on knowledge in Hadoop training ensure that you absorb the information and skills that you will require to apply at work behind your placement in an MNC.
COURSE CROWN Noida is one of the best Hadoop training institute in Noida with 100% placement support. COURSE CROWN has well distinct course modules and training session for students. At COURSE CROWN Hadoop training is conduct during day time classes, weekend classes, evening batch classes and fast track course and training classes.
Course Content and Syllabus for Hadoop Training in Noida
Hadoop Course Content
- Hadoop Overview, Architecture Considerations, Platforms, good Infrastructure and Automation
Use case walkthrough
- Real Time Analytics
- ETL
- Log Analytics
Hbase for Developers :
- Traditional RDBMS approach
- NoSQL introduction
- Hadoop & Hbase positioning
- NoSQL Introduction
Hbase Introduction
- What it is, what it is not, its history and common use-cases
- Hbase Client – Shell, exercise
Hbase Architecture
- Storage, B+ tree, Log Structured Merge Trees
- Building Components
- Read/Write Path
- Region Lifecycle
Hbase Schema Design
- Column Family, Rows, Cells, Cell timestamp
- Introduction to hbase schema
- Exercise – build a schema, load data, query data
- Deletes
Hbase Java API – Exercises
- CRUD API
- Hbase MapReduce
- Counters
- Hbase Bulk load
- Connection
- Scan API
- Filters
Hbase Operations, cluster management
- Performance Tuning
- Advanced Features
- Exercise
- Recap and Q&A
Introduction
- Hadoop Basic Concepts/Fundamentals
- Traditional Systems / Why Big Data / Why Hadoop
Hadoop in the Enterprise
- Review Use Cases
- Where Hadoop Fits in the Enterprise
Architecture
- Hadoop Architecture & Building Blocks
- HDFS and MapReduce
Hadoop CLI
- Exercise
- Walkthrough
MapReduce Programming
- Fundamentals
- Job Monitoring, Scheduling
- Hadoop API Walk Through
- Exercise
- Anatomy of MapReduce Job Run
- Sample Code Walk Through
MapReduce Formats
- Input Formats, Exercise
- Output Formats, Exercise
Hadoop File Formats
- Walkthrough of 2-3 Algorithms
MapReduce Features
- Counters, Exercise
- Sorting, Exercise
- Reduce Side Join, Exercise
- Map Side Join, Exercise
Use Case A (Long Exercise)
- Input Formats, Exercise
- Output Formats, Exercise
- MapReduce Testing
Hadoop Ecosystem
- Oozie
- Sqoop
- Exercise 1 (Sqoop)
- Flume
- Exercise 2 (Streaming API)
- Zookeeper
- Streaming API
- Hcatalog
VIEW Types
- Default Views
- Normal Views
- Overriden Views
MapReduce Performance Tuning
Apache Hadoop for Administrators
Development Best Practice and Debugging
Hadoop Fundamentals and Architecture
- Why Hadoop, Hadoop Basics and Hadoop Architecture
- HDFS and Map Reduce
Hadoop Ecosystems Overview
- Mahout
- ZooKeeper
- Flume
- Sqoop
- Hive
- Hbase
- Pig
- Oozie
Hardware and Software requirements
- Hardware, Operating System and Other Software
- Management Console
Deploy Hadoop ecosystem services
- Administration
- Mahout
- Setup Security
- Mysql
- Hive
- ZooKeeper
- HBase
- Pig
Enable Security – Configure Users, Groups, Secure HDFS, MapReduce, HBase and Hive
- Configuring User and Groups
- Configuring Secure MapReduce
- Configuring Secure HBase and Hive
- Configuring Secure HDFS
Command Line Interface
Troubleshooting your cluster
Introduction to Big Data and Hadoop
Manage and Monitor your cluster
Hadoop Overview
- Why Hadoop
- Hadoop Ecosystem – MapReduce, Hadoop Streaming, Hive, Pig, Flume, Sqoop, Hbase, Oozie, Mahout
- Hadoop Basic Concepts
- Review use cases
- Where Hadoop fits in the Enterprise
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?
- Use Cases
- Compare vs SQL
Hive Architecture – Building Blocks
- Hive CLI and Language (Exercise)
- HDFS Shell
- Hive CLI
- Union, Sub Queries, Sampling, Explain
- Data Types
- Hive Cheat-Sheet
- Data Manipulation Statements
- Data Definition Statements
- Built-in Functions
- Select, Views, GroupBy, SortBy/DistributeBy/ClusterBy/OrderBy, Joins
Hive Architecture – Building Blocks
- Hive CLI and Language (Exercise)
- HDFS Shell
- Built-in Functions
- Data Manipulation Statements
- Select, Views, GroupBy, SortBy/DistributeBy/ClusterBy/OrderBy, Joins
- Hive Cheat-Sheet
- Union, Sub Queries, Sampling, Explain
- Hive CLI
- Data Types
- Data Definition Statements
Hive Architecture – Building Blocks
- Hive CLI and Language (Exercise)
- HDFS Shell
- Data Definition Statements
- Data Manipulation Statements
Hive CLI
Data Types - Built-in Functions
- Union, Sub Queries, Sampling, Explain
- Hive Cheat-Sheet
- Select, Views, GroupBy, SortBy/DistributeBy/ClusterBy/OrderBy, Joins
Hive Usecase implementation -(Exercise)
- Use Case 1
- Best Practices
- Use Case 2
Advance Features
- Transform and Map-Reduce Scripts
- UDTF
- Custom UDF
- Recap and Q&A
- SerDe
Pig Introduction
- Position Pig in Hadoop ecosystem
- Why Pig and not MapReduce
- Pig Grunt – How to Start and Use
- Pig Architecture
- Who is using Pig now and what are the main use cases
- Simple example (slides) comparing Pig and MapReduce
- Discuss high level components of Pig
Pig Latin Programming
- Data Types
- Schema
- Cheat sheet
- Commands and Exercise
- Expressions
- 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)
Best Practices and common pitfalls
Advanced Features, UDFs
Mahout & Machine Learning
- Mahout Overview
- Mahout Installation
- Anatomy of a Machine Learning Application
- Introduction to the Math Library
- Matrix Implementation and Operations (Hands-on exercise)
- Vector implementation and Operations (Hands-on exercise)
Classification
- Introduction to Classification
- Classification Workflow
- Classification Techniques (Hands-on exercise)
- Feature Extraction
Evaluation (Hands-on exercise)
- Clustering
- Use Cases
- Canopy clustering (Hands-on exercise)
- K-means clustering (Hands-on exercise)
- Clustering algorithms in Mahout
Clustering
- Mixture Models
- Evaluating and Improving Clustering quality (Hands-on exercise)
- Probabilistic Clustering – Dirichlet (Hands-on exercise)
- Latent Dirichlet Model (Hands-on exercise)
- Distance Measures (Hands-on exercise)
Recommendation Systems
- Overview of Recommendation Systems
- Use cases
- Architecture of Recommendation Systems
- Collaborative Filtering (Hands-on exercise)
- Recommendation System Evaluation (Hands-on exercise)
- Similarity Measures
- Types of Recommendation Systems
- Wrap Up
Top 10 Reasons to Choose COURSE CROWN for Hadoop Training in Noida
- Hadoop training in Noida is designed according to current IT marketplace.
- Offer the best Hadoop training and 100% placement in Noida with well distinct training modules and course sessions.
- Weekend, Facilitate regular and customized Hadoop training in Noida..
- Real Latest Equipments WITH Smart Labs
- Smart classrooms fully equipped with projectors, Digital Pads, Wi-Fi connectivity.
- 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, Presentation skills, Mock Interviews.
- Varity of Study Material: Books, PDF’s, Sample questions, Video Lectures, Interview Questions (Technical and HR), and Projects.
- The ability to retake the class at no-charge as often as desired.
- Payment options: Cash, Cheque, Credit Card, Net Banking, Debit card
COURSE CROWN Trainer’s Profile for Hadoop Training in Noida
- COURSE CROWN’S Hadoop Trainers are:
- Are truthfully expert and fully up-to-date in the subjects they teach because they continue to spend time working on real-world business applications.
- Have received awards and recognition from our partners and a variety of recognized IT Organizations.
- Are working professional working in multinational companies such as HCL Technologies, Birlasoft, TCS, Sapient, IBM, Accenture etc.
- Are Well connected with Hiring HRs in multinational companies.
- Are certified Professionals with 7+ years of experience.
Placement Assistance after Hadoop Training in Noida
COURSE CROWN’S Placement Assistance
- COURSE CROWN is the head in offering placement to the students, as it has a devoted placement wing which cater to the needs of the students through placements.
- COURSE CROWN helps the students in the development of their RESUME as per present industry standards.
- COURSE CROWN conducts character Development sessions including Spoken English, Group Discussions, Mock Interviews, appearance skills to prepare students to face demanding interview situation with easiness.
- COURSE CROWN has prepared its students to find placed in top IT FIRMS like TCS, HCL, Infosys, Wipro, Accenture and much more.
COURSE CROWN Course duration for Hadoop Training in Noida
- Regular Classes (Morning, Day time & Evening)
- Fast Track Training Program (6+ hours daily)
- Weekend Training Classes (Saturday, Sunday & Holidays)
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