Best Hadoop architecture Training Institutes in Noida, Delhi- Fee Is 14000 Rs

Best Hadoop architecture Training Institute In Noida
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Webtrackker Training Centre


Best Hadoop architecture Training In Noida & Hadoop architecture Training Institute In Noida

Best Hadoop architecture training in Noida with 100% placement support - Fee Is 15000 Rs

Best Hadoop architecture training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 2.7, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.>

Best Hadoop architecture training in Noida- Hadoop architecture training by Webtrackker will master you in HDFS, MapReduce, Yarn, Hive, PIG, Oozie, Flume, etc. In this Hadoop architecture online course you will work on 4 real life projects and prepare yourself for Cloudera Spark and Hadoop Developer Certification (CCA175) Exam. You will get 6 months of Webtrackker Hadoop cloudlab access with this course.

Hadoop architecture training in Noida- This Apache Hadoop Developer Certification Training will help you get a detailed idea about Big Data and Hadoop. Some of the topics included are introduction to the Hadoop ecosystem, understanding of HDFS and MapReduce including MapReduce abstraction. Learn to install, implement various components of Hadoop like Pig, Hive, Flume, Sqoop and YARN.

Hadoop is a distributed computing system that works on commodity hardware on a scale and speed that is just not possible for other database processing systems to match. Due to this there is a huge demand for Hadoop Developers who can deploy Hadoop on a massive scale. This Hadoop Developer online training equips you with the right skill sets needed to take the Professional Hadoop Developer Cloudera Certification. This Hadoop Certification training is your passport to the most sought-after jobs in the Big Data world.

Big data is one of the fastest growing and most promising fields in technology for applying large volumes of data to meet business objectives. This Hadoop architecture training will help you kickstart your career by arming you with the most in-demand professional skills in big data and analytics.

Best Hadoop architecture training in Noida- CloudLab is a cloud-based Hadoop and Spark environment lab that Webtrackker offers with the Hadoop Training course to ensure a hassle-free execution of your hands-on projects. There is no need to install and maintain Hadoop or Spark on a virtual machine. Instead, you’ll be able to access a preconfigured environment on CloudLab via your browser. This environment is very similar to what companies are using today to optimize Hadoop installation scalability and availability.You’ll have access to CloudLab from the Webtrackker LMS (Learning Management System) for the duration of the course. You can learn more about CloudLab by viewing our CloudLab video.

How will Big Data Training help your career?


The field of big data and analytics is a dynamic one, adapting rapidly as technology evolves over time. Those professionals who take the initiative and excel in big data and analytics are well-positioned to keep pace with changes in the technology space and fill growing job opportunities.

Who should take this Hadoop architecture Training Course?

Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology in Big Data architecture. Big Data training is best suited for IT, data management, and analytics professionals looking to gain expertise in Big Data, including:


Software Developers and Architects

Analytics Professionals

Senior IT professionals

Testing and Mainframe Professionals

Data Management Professionals

Business Intelligence Professionals

Project Managers

Aspiring Data Scientists

Graduates looking to build a career in Big Data Analytics

Top 20 Reasons to Choose WEBTRACKKER 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 5,500/month for Hadoop Training in Noida students.
  • 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.

WEBTRACKKER Trainer's Profile for Hadoop Training in Noida

WEBTRACKKER'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

WEBTRACKKER'S Placement Assistance

  • WEBTRACKKER 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.
  • WEBTRACKKER helps the students in the development of their RESUME as per current industry standards.
  • WEBTRACKKER conducts Personality Development sessions including Spoken English, Group Discussions, Mock Interviews, Presentation skills to prepare students to face challenging interview situation with ease.
  • WEBTRACKKER has prepared its students to get placed in top IT FIRMS like HCL, TCS, Infosys, Wipro, Accenture and many more.

webtrackker Course duration for Hadoop Training in Noida

  • Fast Track Training Program (4+ hours Saturday And Sunday)
  • Demo Classes (Free Demo Class Time 1 pm Saturday And Sunday)
  • Weekend Training Classes (Saturday, Sunday & Holidays)
Webtrackker Projects

Webtrackker is IT based company in many countries. Webtrackker will provide you a real time projects based traning on big data

Modules About Modules
Hadoop Developer Course Content: Hadoop Overview, Architecture Considerations, Infrastructure, Platforms and Automation
Use case walkthrough ETL, Log Analytics, Real Time Analytics
Modules 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 Walkthrough, Exercise
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

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