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Hadoop Training in Chennai

Rated #1 Recoginized as the No.1 Institute for Hadoop Training in Chennai

Take your career to the next level with Hadoop Training in Chennai, led by industry experts. Gain hands-on experience and unlock exciting opportunities in big data and analytics with expert-led courses.

Upon completing the Hadoop course in Chennai, you will master key concepts such as the Hadoop ecosystem, HDFS, MapReduce, Hive, Pig, HBase, and YARN. You’ll learn how to store, process, and analyze large datasets, design efficient big data solutions, and implement real-world projects to enhance your skills.

  • Master Apache Hadoop, Spark, and Hive to manage big data at scale.
  • Connect with leading companies and a network of trained professionals.
  • Gain practical experience with industry-leading strategies in big data analytics.
  • Unlock job opportunities with top companies seeking certified Hadoop professionals.
  • Benefit from affordable, recognized Hadoop Training with dedicated placement support.
  • Enroll in Hadoop Certification Training in Chennai and accelerate your big data career.

Job Assistance

1,200+ Enrolled

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65+ Hrs.

Duration

Online/Offline

Format

LMS

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10k+ Placed Students Download Curriculum Interview Questions
Quality Training With Affordable Fee

⭐ Fees Starts From

INR 38,000
INR 18,500
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      Our Hiring Partners

      Learn From Experts, Practice On Projects & Get Placed in IT Company

      • 100% Guaranteed Placement Support for Freshers & Working Professionals
      • You will not only gain knowledge of Hadoop Certification and advanced concepts, but also gain exposure to Industry best practices
      • Experienced Trainers and Lab Facility
      • Hadoop Professional Certification Guidance Support with Exam Dumps
      • Practical oriented / Job oriented Training. Practice on Real Time project scenarios.
      • We have designed an in-depth course so meet job requirements and criteria
      • Resume & Interviews Preparation Support
      • Concepts: High Availability, Big Data opportunities, Challenges, Hadoop Distributed File System (HDFS), Map Reduce, API discussion, Hive, Hive Services, Hive Shell, Hive Server and Hive Web Interface, SQOOP, H Catalogue, Flume, Oozie.
      • START YOUR CAREER WITH HANDOOP CERTIFICATION COURSE THAT GETS YOU A JOB OF UPTO 5 TO 12 LACS IN JUST 60 DAYS!

      Your IT Career Starts Here

      550+ Students Placed Every Month!

      Get inspired by their progress in the Career Growth Report.

      Other Categories Placements
      • Non-IT to IT (Career Transition) 2371+
      • Diploma Candidates3001+
      • Non-Engineering Students (Arts & Science)3419+
      • Engineering Students3571+
      • CTC Greater than 5 LPA4542+
      • Academic Percentage Less than 60%5583+
      • Career Break / Gap Students2588+
      Top Placement Record

      Upcoming Batches For Classroom and Online

      Weekdays
      08 - Dec - 2025
      08:00 AM & 10:00 AM
      Weekdays
      10 - Dec - 2025
      08:00 AM & 10:00 AM
      Weekends
      13 - Dec - 2025
      (10:00 AM - 01:30 PM)
      Weekends
      14 - Dec - 2025
      (09:00 AM - 02:00 PM)
      Can't find a batch you were looking for?
      INR 18,500
      INR 38,000

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      What’s included ?

      Convenient learning format

      📊 Free Aptitude and Technical Skills Training

      • Learn basic maths and logical thinking to solve problems easily.
      • Understand simple coding and technical concepts step by step.
      • Get ready for exams and interviews with regular practice.
      Dedicated career services

      🛠️ Hands-On Projects

      • Work on real-time projects to apply what you learn.
      • Build mini apps and tools daily to enhance your coding skills.
      • Gain practical experience just like in real jobs.
      Learn from the best

      🧠 AI Powered Self Interview Practice Portal

      • Practice interview questions with instant AI feedback.
      • Improve your answers by speaking and reviewing them.
      • Build confidence with real-time mock interview sessions.
      Learn from the best

      🎯 Interview Preparation For Freshers

      • Practice company-based interview questions.
      • Take online assessment tests to crack interviews
      • Practice confidently with real-world interview and project-based questions.
      Learn from the best

      🧪 LMS Online Learning Platform

      • Explore expert trainer videos and documents to boost your learning.
      • Study anytime with on-demand videos and detailed documents.
      • Quickly find topics with organized learning materials.
       

      Curriculum

      Syllabus of Hadoop Course in Chennai
      Module 1: Introduction to Hadoop
      • High Availability
      • Scaling
      • Advantages and Challenges
      Module 2: Introduction to Big Data
      • What is Big data
      • Big Data opportunities,Challenges
      • Characteristics of Big data
      Module 3: Introduction to Hadoop
      • Hadoop Distributed File System
      • Comparing Hadoop & SQL
      • Industries using Hadoop
      • Data Locality
      • Hadoop Architecture
      • Map Reduce & HDFS
      • Using the Hadoop single node image (Clone)
      Module 4: Hadoop Distributed File System (HDFS)
      • 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
      Module 5: Map Reduce
      • 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
      Module 6: Map Reduce Programming – Java Programming
      • 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
      Module 7: NOSQL
      • 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
      <strongclass="streight-line-text"> Module 8: HBase
      • 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
      Module 9: Hive
      • 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
      Module 10: Pig
      • 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
      Module 11: SQOOP
      • 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
      Module 12: HCatalog
      • HCatalog Installation
      • Introduction to HCatalog
      • About Hcatalog with PIG,HIVE and MR
      • Hands on Exercises
      Module 13: Flume
      • 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
      Module 14: More Ecosystems
      • HUE.(Hortonworks and Cloudera)
      Module 15: Oozie
      • 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)
      Module 16: SPARK
      • 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
      Show More
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      Course Objectives

        ASP.NET is a good learning choice for its much easier platform with a strong framework support that has got in-built libraries, better UI controls and debugging functionality.
        Hadoop is the supermodel of Big Data. If you are a Fresher there is a huge scope if you are skilled in Hadoop. The need for analytics professionals and Big Data architects is also increasing . Today many people are looking to pursue their big data career by grabbing big data jobs as freshers.
        Even as a fresher, you can get a job in Hadoop domain. It is definitely not impossible for anyone to land a job in the Hadoop domain if they invest their mind in preparing and putting their best effort in learning and understanding the Hadoop concepts.
      We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for Hadoop. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
        A Hadoop Cluster uses Master-Slave architecture. It consist of a Single Master (NameNode) and a Cluster of Slaves (DataNodes) to store and process data. Hadoop is designed to run on a large number of machines that do not share any memory or disks. These DataNodes are configured as Cluster using Hadoop Configuration files. Hadoop uses a concept of replication to ensure that at least one copy of data is available in the cluster all the time. Because there are multiple copy of data, data stored on a server that goes offline or dies can be automatically replicated from a known good copy.
      • To learn Hadoop and build an excellent career in Hadoop, having basic knowledge of Linux and knowing the basic programming principles of Java is a must. Thus, to incredibly excel in the entrenched technology of Apache Hadoop, it is recommended that you at least learn Java basics.
      • Learning Hadoop is not an easy task but it becomes hassle-free if students know about the hurdles overpowering it. One of the most frequently asked questions by prospective Hadoopers is- “How much java is required for hadoop”? Hadoop is an open source software built on Java thus making it necessary for every Hadooper to be well-versed with at least java essentials for hadoop. Having knowledge of advanced Java concepts for hadoop is a plus but definitely not compulsory to learn hadoop. Your search for the question “How much Java is required for Hadoop?” ends here as this article explains elaborately on java essentials for Hadoop.
        Apache Hadoop is an open source platform built on two technologies Linux operating system and Java programming language. Java is used for storing, analysing and processing large data sets. Hadoop is Java-based, so it typically requires professionals to learn Java for Hadoop. Yes, you can learn Hadoop, without any basic programming knowledge . The only one thing matters is your dedication towards your work. If you really want to learn something, then you can easily learn. It also depends upon on which profile you want to start your work like there are various fields in Hadoop.

      Will I Be Given Sufficient Practical Training In Hadoop?

        Our course ware is designed to give a hands-on approach to the students in Hadoop. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.

      Is it worth learning Hadoop?

        Yes It is worth , Future will be bright. Learning Hadoop will definitely give you a basic understanding about working of other options as well. Moreover, several organizations are using Hadoop for their workload. So there are lot of opportunities for good developers in this domain. Indeed it is!. No Learning Hadoop is not very difficult. Hadoop is a framework of java. Java is not a compulsory prerequisite for learning hadoop. Hadoop is an open source software platform for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware.

      How long would it take to learn Hadoop?

        Hadoop framework can be coded in any language, but still, Java is preferred. For Hadoop, the knowledge of Core Java is sufficient, and it will take approximately 5-9 months. Learning Linux operating system: - It is recommended to have a basic understanding and working of the Linux operating system.

      Top reasons to consider a career in Hadoop?

      • Hadoop brings in better career opportunities in 2015.
      • Learn Hadoop to pace up with the exponentially growing Big Data Market.
      • Increased Number of Hadoop Jobs.
      • Learn Hadoop to pace up with the increased adoption of Hadoop by Big data companies.
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      Overview of Hadoop Training in Chennai

      Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power, and the ability to handle virtually limitless concurrent tasks or jobs. ACTE Imparts Hadoop Class Room & Online Training Course Enroll Now!!!

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      Need customized curriculum?

      Hands-on Real Time Hadoop Projects

      Project 1
      Customer churn analysis –Telecom Industry

      The project involves tracking consumer complaints registered on various Platforms.

      Project 2
      UBER Projects

      Determine dynamic pricing based on traffic congestion, Spark Streaming and Cassandra.

      Our Top Hiring Partner for Placements

      ACTE Chennai offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

      • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
      • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
      • After completion of 70% Hadoop training course content, we will arrange the interview calls to students & prepare them to F2F interaction
      • Hadoop Trainers assist students in developing their resume matching the current industry needs
      • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
      • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

      Get a Industrial Recognized ACTE Hadoop Certificate in Chennai

      ACTE accreditation is authorized by so many world's largest corporations. Freshers, as well as institutional trainees, can take advantage of our services after completing the academic and practical programs. IBM Hadoop Certification includes Hadoop training and real-world industry projects that must be completed before certification may be obtained. Candidates must demonstrate high-level expertise, abilities, and a thorough understanding of Hadoop tools and concepts through a rigorous training procedure.

      Globally recognized, Acte's certification is recognized. As a byproduct of this certification, you can land top-level jobs at prominent multinational corporations throughout the world. Our training and practical projects must be completed before a certificate may be issued.

      Our ACTE Trainers will help candidates to get expertise on other familiar certifications which are available in the markets. Prominent Cerifications of Hadoop in the Market:

      • Hadoop Platform and Application Framework
      • IBM Data Engineering: IBM.
      • Big Data Essentials: HDFS, MapReduce and Spark RDDs
      • Modern Big Data Analysis with SQL

      Skills in Hadoop are in high demand - this is evident! Hadoop and Big Data technologies are in high demand, and IT workers must stay up with the latest developments. Apache Hadoop gives you the following advantages: Career progression that is more rapid.

      Our ACTE Instructors will help the students to grab the knowledge on Other Hadoop Course and trained them to get placement into a top most MNC's.

      • Tom White's Hadoop: The Definitive Guide book is an invaluable companion for you to clear the exam.
      • Study the other Apache projects in Hadoop ecosystem like Hive, Pig, Oozie, Flume, and HBase.
      • Understand how to use Sqoop.

        • Our ACTE Instructors will help the students to grab the knowledge on Other Hadoop Course and trained them to get certified.

      The hike which you get from the Hadoop certified:

      • BFS BigData Architect SM
      • Hadoop Developer
      • Hadoop Developer Spark/SQL/Hive
      • Hadoop Administrator
      • senior hadoop developer

      The Learners Can Adopt the Other Hadoop Certification:

      • Cloudera Certified Professional – Data Scientist (CCP DS) : $295
      • Cloudera Certified Administrator for Hadoop (CCAH) : $295
      • Cloudera Certified Hadoop Developer (CCDH) : $295

      Complete Your C ourse

      a downloadable Certificate in PDF format, immediately available to you when you complete your Course

      Get Certified

      a physical version of your officially branded and security-marked Certificate.

      Get Certified

      About Experienced Hadoop Trainer

      • Our Hadoop Training in Chennai. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
      • As all Trainers are Hadoop domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
      • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
      • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
      • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Hadoop training to the students.
      • We have received various prestigious awards for Hadoop Training in Chennai from recognized IT organizations.

      Authorized Partners

      ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS .

      Get Training Quote for Free

            Career Support

            Placement Assistance

            Exclusive access to ACTE Job portal

            Mock Interview Preparation

            1 on 1 Career Mentoring Sessions

            Career Oriented Sessions

            Resume & LinkedIn Profile Building

            We Offer High-Quality Training at The Lowest Prices.

            Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.

            What Makes ACTE Training Different?

            Feature

            ACTE Technologies

            Other Institutes

            Affordable Fees

            Competitive Pricing With Flexible Payment Options.

            Higher Fees With Limited Payment Options.

            Industry Experts

            Well Experienced Trainer From a Relevant Field With Practical Training

            Theoretical Class With Limited Practical

            Updated Syllabus

            Updated and Industry-relevant Course Curriculum With Hands-on Learning.

            Outdated Curriculum With Limited Practical Training.

            Hands-on projects

            Real-world Projects With Live Case Studies and Collaboration With Companies.

            Basic Projects With Limited Real-world Application.

            Certification

            Industry-recognized Certifications With Global Validity.

            Basic Certifications With Limited Recognition.

            Placement Support

            Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.

            Basic Placement Support

            Industry Partnerships

            Strong Ties With Top Tech Companies for Internships and Placements

            No Partnerships, Limited Opportunities

            Batch Size

            Small Batch Sizes for Personalized Attention.

            Large Batch Sizes With Limited Individual Focus.

            LMS Features

            Lifetime Access Course video Materials in LMS, Online Interview Practice, upload resumes in Placement Portal.

            No LMS Features or Perks.

            Training Support

            Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.

            Limited Mentor Support and No After-hours Assistance.

            Hadoop Course FAQs

            Looking for better Discount Price?

            Call now: +91-7669 100 251 and know the exciting offers available for you!
            • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
            • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
            • More than 3500+ students placed in last year in India & Globally
            • ACTE conducts development sessions including 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 Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
              ACTE Gives Certificate For Completing A Course
            • Certification is Accredited by all major Global Companies
            • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS
            • The entire Hadoop training has been built around Real Time Implementation
            • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
            • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
            All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
            No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
            We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

            Why Should I Learn Hadoop Course At ACTE?

            • Hadoop Course in ACTE is designed & conducted by Hadoop experts with 10+ years of experience in the Hadoop domain
            • Only institution in India with the right blend of theory & practical sessions
            • In-depth Course coverage for 60+ Hours
            • More than 50,000+ students trust ACTE
            • Affordable fees keeping students and IT working professionals in mind
            • Course timings designed to suit working professionals and students
            • Interview tips and training
            • Resume building support
            • Real-time projects and case studies
            Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
            You will receive ACTE globally recognized course completion certification Along with project experience, job support, and lifetime resources.
            We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
            We at ACTE 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. Therefore, we restrict the size of each Hadoop batch to 5 or 6 members
            Our courseware is designed to give a hands-on approach to the students in Hadoop. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
            You can contact our support number at +91 76691 00251 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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            Job Opportunities in Hadoop Developer

            Around 30% of Developers Express a Preference for Hadoop Developer, Solidifying Its Status as the Most Sought-after Platform in the Tech Industry.

            You can Work as a
            Hadoop Developer Big Data Engineer Data Engineer ETL Developer Data Analyst Hadoop Administrator
            Upcoming In-Demand Jobs
            Big Data Architect Data Scientist Machine Learning Engineer Cloud Engineer BI Developer
            Salary in Hadoop

            Reach Our Placement Officer

             

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