Hadoop Training in Tiruchirappalli
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6,028 Reviews
174 Reviews
440 Reviews
4.8/5
6,028 Reviews
174 Reviews
440 Reviews
Big Data and Hadoop Administrator training provides Trainees with the necessary approaches to succeed in the Big Data Analytics sector. The Hadoop admin course enables you to work with the Apache Hadoop ecosystem’s flexible frameworks. Our Oracle training courses assist students in obtaining employment promptly upon completion of the course. Working on Oracle hadoop projects is made easier with our practical, real-time Oracle hadoop project framework training.
Course Duration
HrsLive Project
ProjectCertification Pass
GuaranteedTraining Format
Live Online (Expert Trainers)
Professionals Trained
Batches every month
Placed Students
Corporate Served
Hadoop Training Objectives
- Hadoop provides the power of distributed computing and assigned storage.
- In rough words, it is one of the programs to make a super-computer (In a cost-efficient practice).
- Hadoop framework permits you to use the area and computing ability of 100s of computers efficiently.
- The end-user can understand that he is communicating with 1 network and doing number/storage only on one method.
- One must possess both the power of Hadoop - Distributed Storage & Distributed Computing.
- You should practice it if you have an extensive amount of data that you’d firstly save on many servers (in a shared and replicated way) before eventually processing it.
- While Hadoop is the most useful you can do for scalable accommodation (unless you pay for a cloud) and massive parallel-group processing (Hadoop MapReduce)…
- You can on a different side switch on Spark or Wind if you have real-time/streaming investigation needs.
- Hadoop is not a database, it is software that is open-source to control a large number of structured and semi-structured data.
- It is originally designed for high data processes that direct all the individual records of the database.
- Hadoop is perfect for the slow and constant pace of work where fast appearance is not critical, for example reviewing daily transaction statements, scanning of historical data, and implementing analytics where a more moderate time-to-insight is adequate.
- Hadoop certainly secures over traditional databases in the features of normalization and scalability.
- Big companies like Facebook, Google uses Hadoop to collect, store, and manage colossal data sets.
- Hadoop is the guide platform that has caused the wave of Big Data.
- It has performed its role and now also powerful programs like- Spark, Flink, etc. have appeared on the technology roadmap.
- In the technology business, change is a constant feature.
- With an ever-growing market and better change, a technology like Hadoop became sidelined and relaxed way to more innovative solutions.
- It is a reasonable distance from Hadoop’s life cycle.
- Hadoop is an open-source software program that provides many software products to work on top of it like HDFS, MapReduce, HBase, and even Spark.
- So, Spark is a member of the Hadoop ecosystem although it can also operate separately and also on other data accommodations.
- While Spark is a batch computing framework in its right, it is mainly used for streaming data processing.
- The scope of Hadoop is growing in the future. Most of the big businesses are running in Hadoop for Data reviews such as Google, Facebook, Linkedin, and many more.
- But shortly Hadoop is not permanent, new technologies in this domain are coming day by day.
- Even Java needed time to get steady in the business and as we know now java is a constant language. In the coming years, Hadoop will also get permanent and will be the best technology for Data Analysis.
- Hadoop sucks for businesses that do not match the map-reduce programming model
- And this suggests that most machine knowledge responsibilities that have the iterative model of gathering towards an answer will make it unwell on it.
- The reason is that the picture phase communicates its results to the reduced phase using HDFS.
- This specific file-system warmth provides fault tolerance but it is high and very quiet
- It is worse for the iterative machine training tasks because an HDFS heat and following HDFS read by reducers for every repetition destroys performance.
- Yes. MapReduce is being/has been succeeded by Spark and, as a database, there is no singular reason for choosing Hadoop compared to the several other NoSQL choices.
- Indeed, the provider for multi-model capabilities submitted by various other NoSQL conditions provides a possibly richer environment than can be submitted by Hadoop.
- Further, with Cloudera practicing over HortonWorks and reports about the future of MapR, then financial support for Hadoop is looking short.
- I should add that I have reviewed this with various other investigators, from various firms, and this is a consent view, not just my own.
- Big Data Hadoop is an open-source software structure used for collecting and treating Big Data in a diffused manner on large batches of commodity devices.
- Hadoop was developed, based on the article written by Google on the MapReduce system and it employs concepts of functional programming.
- It is very challenging to master every device, technology, or programming language.
- So, when in knowledge mode, learners or professionals always choose to read the technology that has the potential for a high-paying job and has demonstrated value among many users.
- Hadoop is one such technology.
- Hadoop and SQL both are complex technology that we are practicing but there is no connection between these two.
- Hadoop is a framework that is utilized to collect and prepare a large amount of data i.e Big data.
- Hadoop presents a way that how we store a huge volume of data by working HDFS which is a Hadoop dispersed file system.
- Hadoop can quickly integrate with various technology or database similar to Pig, Hive, Hbase, and many more.
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Top Companies Placement
- Designation
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Annual SalaryHiring Companies
Top Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- HBase, Mahout
- Spark MLLib
- Solar, Lucene
- Zookeeper, Oozie
Online Classroom Batches Preferred
Weekdays (Mon - Fri)
03 - Nov - 2025
08:00 AM (IST)
Weekdays (Mon - Fri)
05 - Nov - 2025
08:00 AM (IST)
Weekend (Sat)
08 - Nov - 2025
11:00 AM (IST)
Weekend (Sun)
09 - Nov - 2025
11:00 AM (IST)
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₹18000
₹14500
10% OFF Expires in
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Hadoop Course Curriculam
Trainers Profile
LearnoVita trainers in available for Hadoop Online Course including 24/7 live support. The essence of the hadoop is affording recorded sessions, demos, and study materials. Our Instructors are working in Hadoop and with real time experienced for 10+ more years in MNC's . Our training will be focused on assisting in placements as well.
Pre-requisites
Basic prerequisites for learning Big Data Testing : Linux , Java , SQL.
Syllabus of Hadoop Course in Tiruchirappalli Download syllabus
- High Availability
- Scaling
- Advantages and Challenges
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- What is Big data
- Big Data opportunities,Challenges
- CharLearnoVitaristics of Big data
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- Hadoop Distributed File System
- Comparing Hadoop & SQL
- Industries using Hadoop
- Data Locality
- Hadoop Architecture
- Map Reduce & HDFS
- Using the Hadoop single node image (Clone)
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- HDFS Design & Concepts
- Blocks, Name nodes and Data nodes
- HDFS High-Availability and HDFS Federation
- Hadoop DFS The Command-Line Interface
- Basic File System Operations
- Anatomy of File Read,File Write
- Block Placement Policy and Modes
- More detailed explanation about Configuration files
- Metadata, FS image, Edit log, Secondary Name Node and Safe Mode
- How to add New Data Node dynamically,decommission a Data Node dynamically (Without stopping cluster)
- FSCK Utility. (Block report)
- How to override default configuration at system level and Programming level
- HDFS Federation
- ZOOKEEPER Leader Election Algorithm
- Exercise and small use case on HDFS
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- Map Reduce Functional Programming Basics
- Map and Reduce Basics
- How Map Reduce Works
- Anatomy of a Map Reduce Job Run
- Legacy Architecture ->Job Submission, Job Initialization, Task Assignment, Task Execution, Progress and Status Updates
- Job Completion, Failures
- Shuffling and Sorting
- Splits, Record reader, Partition, Types of partitions & Combiner
- Optimization Techniques -> Speculative Execution, JVM Reuse and No. Slots
- Types of Schedulers and Counters
- Comparisons between Old and New API at code and Architecture Level
- Getting the data from RDBMS into HDFS using Custom data types
- Distributed Cache and Hadoop Streaming (Python, Ruby and R)
- YARN
- Sequential Files and Map Files
- Enabling Compression Codec’s
- Map side Join with distributed Cache
- Types of I/O Formats: Multiple outputs, NLINEinputformat
- Handling small files using CombineFileInputFormat
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- Hands on “Word Count” in Map Reduce in standalone and Pseudo distribution Mode
- Sorting files using Hadoop Configuration API discussion
- Emulating “grep” for searching inside a file in Hadoop
- DBInput Format
- Job Dependency API discussion
- Input Format API discussion,Split API discussion
- Custom Data type creation in Hadoop
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- ACID in RDBMS and BASE in NoSQL
- CAP Theorem and Types of Consistency
- Types of NoSQL Databases in detail
- Columnar Databases in Detail (HBASE and CASSANDRA)
- TTL, Bloom Filters and Compensation
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- HBase Installation, Concepts
- HBase Data Model and Comparison between RDBMS and NOSQL
- Master & Region Servers
- HBase Operations (DDL and DML) through Shell and Programming and HBase Architecture
- Catalog Tables
- Block Cache and sharding
- SPLITS
- DATA Modeling (Sequential, Salted, Promoted and Random Keys)
- Java API’s and Rest Interface
- Client Side Buffering and Process 1 million records using Client side Buffering
- HBase Counters
- Enabling Replication and HBase RAW Scans
- HBase Filters
- Bulk Loading and Co processors (Endpoints and Observers with programs)
- Real world use case consisting of HDFS,MR and HBASE
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- Hive Installation, Introduction and Architecture
- Hive Services, Hive Shell, Hive Server and Hive Web Interface (HWI)
- Meta store, Hive QL
- OLTP vs. OLAP
- Working with Tables
- Primitive data types and complex data types
- Working with Partitions
- User Defined Functions
- Hive Bucketed Tables and Sampling
- External partitioned tables, Map the data to the partition in the table, Writing the output of one query to another table, Multiple inserts
- Dynamic Partition
- Differences between ORDER BY, DISTRIBUTE BY and SORT BY
- Bucketing and Sorted Bucketing with Dynamic partition
- RC File
- INDEXES and VIEWS
- MAPSIDE JOINS
- Compression on hive tables and Migrating Hive tables
- Dynamic substation of Hive and Different ways of running Hive
- How to enable Update in HIVE
- Log Analysis on Hive
- Access HBASE tables using Hive
- Hands on Exercises
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- Pig Installation
- Execution Types
- Grunt Shell
- Pig Latin
- Data Processing
- Schema on read
- Primitive data types and complex data types
- Tuple schema, BAG Schema and MAP Schema
- Loading and Storing
- Filtering, Grouping and Joining
- Debugging commands (Illustrate and Explain)
- Validations,Type casting in PIG
- Working with Functions
- User Defined Functions
- Types of JOINS in pig and Replicated Join in detail
- SPLITS and Multiquery execution
- Error Handling, FLATTEN and ORDER BY
- Parameter Substitution
- Nested For Each
- User Defined Functions, Dynamic Invokers and Macros
- How to access HBASE using PIG, Load and Write JSON DATA using PIG
- Piggy Bank
- Hands on Exercises
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- Sqoop Installation
- Import Data.(Full table, Only Subset, Target Directory, protecting Password, file format other than CSV, Compressing, Control Parallelism, All tables Import)
- Incremental Import(Import only New data, Last Imported data, storing Password in Metastore, Sharing Metastore between Sqoop Clients)
- Free Form Query Import
- Export data to RDBMS,HIVE and HBASE
- Hands on Exercises
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- HCatalog Installation
- Introduction to HCatalog
- About Hcatalog with PIG,HIVE and MR
- Hands on Exercises
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- Flume Installation
- Introduction to Flume
- Flume Agents: Sources, Channels and Sinks
- Log User information using Java program in to HDFS using LOG4J and Avro Source, Tail Source
- Log User information using Java program in to HBASE using LOG4J and Avro Source, Tail Source
- Flume Commands
- Use case of Flume: Flume the data from twitter in to HDFS and HBASE. Do some analysis using HIVE and PIG
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- HUE.(Hortonworks and Cloudera)
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- Workflow (Action, Start, Action, End, Kill, Join and Fork), Schedulers, Coordinators and Bundles.,to show how to schedule Sqoop Job, Hive, MR and PIG
- Real world Use case which will find the top websites used by users of certain ages and will be scheduled to run for every one hour
- Zoo Keeper
- HBASE Integration with HIVE and PIG
- Phoenix
- Proof of concept (POC)
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- Spark Overview
- Linking with Spark, Initializing Spark
- Using the Shell
- Resilient Distributed Datasets (RDDs)
- Parallelized Collections
- External Datasets
- RDD Operations
- Basics, Passing Functions to Spark
- Working with Key-Value Pairs
- Transformations
- Actions
- RDD Persistence
- Which Storage Level to Choose?
- Removing Data
- Shared Variables
- Broadcast Variables
- Accumulators
- Deploying to a Cluster
- Unit Testing
- Migrating from pre-1.0 Versions of Spark
- Where to Go from Here
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Exam & Certification
At LearnoVita, You Can Enroll in Either the instructor-led Hadoop Online Course, Classroom Training or Online Self-Paced Training.
Hadoop Online Training / Class Room:
- Participate and Complete One batch of Hadoop Training Course
- Successful completion and evaluation of any one of the given projects
Hadoop Online Self-learning:
- Complete 85% of the Hadoop Certification Training
- Successful completion and evaluation of any one of the given projects
Honestly Yes, LearnoVita Provide 1 Set of Practice test as part of Your Hadoop Certification Course in Tiruchirappalli. It helps you to prepare for the actual Hadoop Certification Training exam. You can try this free Hadoop Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
These are the Different Kinds of Certification levels that was Structured under the Cloudera Hadoop Certification Path.
- Cloudera Certified Professional - Data Scientist (CCP DS)
- Cloudera Certified Administrator for Hadoop (CCAH)
- Cloudera Certified Hadoop Developer (CCDH)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LernoVita Hadoop Certification Training in Tiruchirappalli That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Hadoop Developers.
Our Student Successful Story
Regular 1:1 Mentorship From Industry Experts
Live Classes
Career Support
Sandeep Kumar D
Software Engineer, Cisco Systems )
It was a great learning experience. LearnoVita Hadoop Training in Tiruchirappalli Trainers had provided relevant examples truly enjoyed the sessions, I wholeheartedly thank the Training & Placement Cell for the constant support
Vinoth P
UI Developer, TCS
I would like to appreciate the placement cell at LearnoVita for the efforts they made for providing a fair and ample amount of chances to me. boot-camps and extra classes for us to enhance our technical and interpersonal skills from this Hadoop Training.
Vijeyalakshme kannan
QA Engineer, Amazon Development Center
I feel great studying at LearnoVita and getting the great opportunity as well as support from faculties & placement officers from this Hadoop Course in Tiruchirappalli. It is dream come true, being an IT engineer
Pranav Srinivas
Software Testing, Capgemini
My sincere appreciation & gratitude to the Hadoop Training with Placement Department and all staff of LearnoVita for their efforts in imparting quality technical and aptitude training. I am very grateful to them for effectively and sincerely helping me to grab the first-ever opportunity that came into my life.
Prasanna
SAP Admin, HCL
I am very Thankful to the faculties of LearnoVita as they are very much supportive, helpful and the Placement Cell which is also doing great job by arranging excellent placements of MNCs & good corporate exposure is given to students.
Hadoop Course FAQ's
LearnoVita Offers a good discount percentage for you CALL at +91 93833 99991 and know the Exciting offers Available for you!!!
Yes, you can attend the demo session. Even though We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrolment is not possible.If you are unable to attend you can go through our Pre recorded session of the same trainer, it would give you a clear insight about how the classes are conducted, the quality of instructors, and the level of interaction in the class.
All Our instructors from Hadoop Classes in Tiruchirappalli are working professionals from the Industries, Working in leading Organizations and have Real-World Experience with Minimum 9-12 yrs of Relevant IT field Experience. All these experienced folks at LearnoVita Provide a Great learning experience.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course
- LearnoVita Best Hadoop Training in Tiruchirappalli will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
- On Successfully Completing a Career Course from LearnoVita Best Hadoop Course in Tiruchirappalli, you Could be Eligible for Job Placement Assistance.
- 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
- LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
- More than 5400+ students placed in last year in India & Globally.
- LearnoVita is the Best Hadoop Training Institute in Tiruchirappalli Offers mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
- 85% percent placement record
- Our Placement Cell support you till you get placed in better MNC
- Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
After Your Course Completion You will Receive
- LearnoVita Certification is Accredited by all major Global Companies around the World.
- LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS.
- Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
- LearnoVita is offering you the most updated Hadoop certification training in Tiruchirappalli, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
- You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
At LearnoVita you can enroll in either the instructor-led Hadoop Online Course, Self-Paced Training, Class Room, One to One Training, Fast Track, Customized Training & Online Training Mode. Apart from this, LearnoVita also offers Corporate Training for organizations to UPSKILL their workforce.
LearnoVita Assures You will Never lose any Topics and Modules. You can choose either of the Three options:
- We will reschedule the Hadoop classes in Tiruchirappalli as per your convenience within the stipulated course duration with all such possibilities.
- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.
Just give us a CALL at +91 9383399991 OR email at contact@learnovita.com
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question After Once You Have Enrolled.
We at LearnoVita believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics and Can Access more information and Richer Understanding through teacher and other students' body language and voice. Therefore, we restrict the size of each Hadoop batch to 5 or 6 members
Learning Hadoop can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in Hadoop. Mastering Hadoop can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
The Average salary of Hadoop Developer in India is ₹4,43,568 per annum.
You can contact our support number at +91 93800 99996 / Directly can do by LearnoVita E-commerce payment system Login or directly walk-in to one of the LearnoVita branches in India.
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