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Hadoop Training in India

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  • Learn Hadoop from the comfort of your home with Acte.
  • Real-World Projects and Industry-designed Course Curriculum.
  • Trainers with 12+ Yrs Experience | 13409+ Experts Trained with 4.9/5 Ratings.
  • Delivered by 9+ years of Hadoop Certified Expert.
  • Our Next Hadoop Batch to begin your tech week– Register Your Name Now!



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08:00 AM & 10:00 AM Batches

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Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session


Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session


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(Class 4:30Hr - 5:00Hrs) / Per Session

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Have Cracked Their Dream Job in Top MNC Companies

Experts who practice in projects and find themselves in IT companies

  • You will learn more than Hadoop in this course, such as Big Data. Our course will teach you how to handle big data, install, and configure it.
  • As well as describing how these technologies interact, the course will demonstrate how they can be applied to real-world business problems! Knowledge of UNIX and Java is the only prerequisite.
  • Taking this course will benefit your career by giving you the necessary knowledge and confidence. By the end of this course, you will be prepared to take on big data projects without delay. Learn HDFS, Apache Pig, and Apache MapReduce in this course.
  • You can create and configure EC2 instances and Hadoop instances. In this section, you will find examples, applications, and explanations Any student can understand all subjects.
  • A theory as well as practical course is beneficial to students. Graduates of our program are ready for jobs with a number of different companies after graduation.
  • The course demonstrates how Hadoop can be used to solve real world problems, as well as will teach you how to integrate Hadoop into your daily life. Additionally, you'll get a certificate of completion once you finish the course!
  • 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.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

Course Objectives

Industry professionals have created Big Data Hadoop Certification Training to help you become a Certified Big Data Practitioner. The Big Data Hadoop course includes the following topics:
  • Deep understanding of Hadoop and Big Data, including HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), and MapReduce.
  • Comprehensive understanding of Hadoop Ecosystem technologies such as Pig, Hive, Sqoop, Flume, Oozie, and HBase
  • The ability to use Sqoop and Flume to feed data into HDFS and analyze big datasets stored there.
  • The opportunity to work on a variety of real-world industry-based projects in CloudLab
  • Diverse projects include data sets from a variety of domains, including banking, telecommunications, social media, insurance, and e-commerce.
  • Throughout the Big Data Hadoop Training, a Hadoop specialist will be present to help you learn industry standards and best practices.
Considering all of the technologies accessible in the IT sector today, Big Data is one of the fastest-growing and most promising fields. To take advantage of these opportunities, you'll need structured training based on the most up-to-date curriculum and industry best practices. You'll need to work on a variety of real-world big data projects using various Big Data and Hadoop tools as part of your solution strategy, in addition to having a good theoretical grasp. You'll also need the help of a Hadoop expert who is currently working in the business on real-world Big Data projects and debugging problems as they arise.
  • Our skilled instructors will teach you how to master the principles of HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), and how to work with Hadoop storage and resource management during the Big Data & Hadoop course.
  • Understand the MapReduce Framework and use it to implement a sophisticated business solution.
  • Using Sqoop and Flume, learn data ingestion techniques.
  • Pig and Hive are used to do ETL operations and data analytics.
  • In Hive, Partitioning, Bucketing, and Indexing are implemented.
  • Understand HBase, a Hadoop-based NoSQL database, as well as its architecture and mechanisms.
  • HBase with Hive integration
  • Professionals and freshmen alike can benefit from our Big Data Hadoop Course. Software Developers and Project Managers are the best candidates.
  • Architects of software
  • Professionals in ETL and Data Warehousing
  • Engineers who work with data
  • Professionals in the fields of data analysis and business intelligence
  • DBAs and database administrators
  • IT Experts at the Senior Level
  • Professionals who conduct tests
  • professionals who work with mainframes
  • Graduates interested in pursuing a career in the Big Data field
The following predictions can assist you in comprehending Big Data's growth:
  • The Hadoop market is predicted to reach $99.31 billion this year, with a CAGR of 42.1 percent. According to Forbes McKinsey, there will be a need for 1.5 million data analysts.
  • Big Data Hadoop Developers earn an average of INR 97k per year.
  • Big Data is attracting organizations' attention, and Hadoop is being used to store and analyze data. As a result, the demand for Big Data and Hadoop jobs is fast increasing. If you want to work in this sector, now is the best time to start with Big Data Hadoop Training.
All of your Big Data Hadoop Course Assignments/Case Studies will be completed in your Cloud LAB environment, which will be accessible via your LMS. You'll use a browser to access your Cloud LAB environment. If you have any questions, the support teams are available 24 hours a day, 7 days a week to help you.
Because you'll be doing your practicals in a Cloud LAB environment, you won't have to worry about system requirements. This environment already has all of the software you'll need to complete your practicals.

Which projects will be a part of this Big Data Hadoop Training Course?

Multiple real-time, industry-based projects are included in the Big Data & Hadoop Training, which will refine your abilities to current industry standards and prepare you for prospective Big Data positions and Hadoop careers. TickStocks, a small stock trading firm, aspires to create a Stock Performance System. You've been given the responsibility of developing a system that can forecast which stocks are good and which are poorly based on their past performance. You'll also need to create a customized product to handle sophisticated questions like computing the monthly covariance between equities.

Will I Get Placement Assistance after finishing this Big Data and Hadoop Course?

More than 70% of Learners stated that their employment profile (promotion), work location (onsite), lateral transfers, and new job opportunities have changed. Certification is well-recognized in the IT business since it demonstrates your commitment to thorough and practical study as well as the completion of real-world projects. To enroll in a Big Data Hadoop course right now and get hired by some of India's best organizations.

What are the prerequisites to learning Big Data Hadoop Certification Course?

The Big Data and Hadoop Course do not have any prerequisites. Prior knowledge of Core Java and SQL will be beneficial, but it is not required. In addition, when you sign up for the Big Data and Hadoop course, we'll provide you a free self-paced course on "Java fundamentals for Hadoop" to help you brush up on your abilities.

Why learn Big Data and Hadoop? What are the advantages of learning Hadoop?

The training for Big Data Hadoop Certification is designed to assist you in learning and mastering the whole Hadoop environment. We ensure that the learning is in line with how technology is used in the market today with our industry-relevant course portfolio. We also have real-time projects for our students to work on to get more hands-on experience. We provide the ideal atmosphere for all learners to obtain as much practical experience as possible with our cloud lab implementation.

What is the future scope of Big data and Hadoop?

These days organizations want Hadoop directors to require care of large Hadoop clusters. High firms like Facebook, eBay, Twitter, etc are using Hadoop. The professionals with Hadoop skills are a unit in vast demand. In keeping with Payscale, the typical pay for Hadoop directors is Rs.1,21,000.
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Overview of Hadoop Training in India

Hadoop Training in India is provided by ACTE to assist students become proficient in Big Data and Hadoop. It also offers placement training and classroom instruction on Hadoop's fundamental and advanced principles. MapReduce and Hadoop ecosystems such as HBase, Pig, and Hive are included in the Hadoop placement-oriented training and live online training. Using the appropriate frameworks, students create a Hadoop application.


Additional Info

Career path in Bigdata and hadoop developer Bigdata and hadoop:

Hadoop Developer Careers-Inference:- A career in Hadoop may be pursued by people from any instructional background as most trade sector's area unit hiring huge information Hadoop professionals.

Hadoop Developer Careers –Analysis:- 60% of the professionals have solely 0-3years of expertise as Hadoopers.

Hadoop Developer Careers-Inference:- Companies don't have a bias against individuals with years of expertise once hiring for Hadoop job roles. This can be principally thanks to the shortage of Hadoop talent and magnified demand within the market. Newbies or professionals with even one or a pair of years of expertise will become Hadoop Developers. Employers choose candidates supported the information of Hadoop and temperament to work/learn.

Hadoop developer careers-Analysis:- 67% of Hadoop Developers area unit from Java programming background.

Certification Training and Exam and path:

Now that you just see that a certification could be a worthy career investment, your next step is selecting the sort of certification course and supplier that matches you best. Once it involves prime huge information certification, your selection's area unit virtually as various because the field’s areas of study. We've curated a listing of huge information certification courses offered by a number of the most important names within the business.

Associate huge information Analyst (ABDA):- Brought to you by DA SCA (Data Science Council of America), this program is good for graduate students United Nations agency wish to make a knowledge science career and have set to target a theme discipline like applied mathematics-economics, business, engineering, management, marketing, statistics, and more.

Industry Trends of Hadoop:

The number of Hadoop jobs has magnified at a pointy rate. It has doubled between the Gregorian calendar month 2016 to Gregorian calendar month 2019. 50,000 vacancies associated with a huge information area unit presently accessible in business sectors of the Republic of India. India contributes to a twelve-tone system of Hadoop Developer jobs within the worldwide market. The number of offshore jobs in the Republic of India is probably going to extend at a speedy pace thanks to outsourcing. Almost all huge MNCs in {India|India|Republic of India|Bharat|Asian country|Asian nation} area unit providing handsome salaries for Hadoop Developers in India. 80% of market employers area unit searching for huge information consultants from engineering and management domains.

Top framework or technologies and major tool in Bigdata and hadoop:

We will take a glance at five of the highest open supply huge processing frameworks getting used these days. Of course, these are not the sole ones in use, however hopefully they're thought of to be tiny low sample distribution of what's accessible, and a short summary of what will be accomplished with the chosen tools.

1. Hadoop:- First up is that the incomparable classic, and one among the highest frameworks in use these days. Thus, the current is that it's virtually become similar with huge knowledge. however, you already fathom Hadoop, and Produce, and its system of tools and technologies together with Pig, and Hive, and Flume, and HDFS. And every one the others. Hadoop was initial out of the gate, and enjoyed (and still will enjoy) widespread adoption in trade.

2. Spark:- Spark is that the heir to the large processing kingdom. Spark Associate in Nursing Hadoop as usually contrasted as an "either/or" selection, however that may not extremely the case. The Hadoop system will accommodate the Spark process engine in situ of MapReduce, resulting in all types of totally different setting make-ups that will embrace a combination of tools and technologies from each ecosystem. Mutually specific example of this interaction, huge knowledge powerhouse Cloud era is currently commutation MapReduce with Spark because the default process engine all told of its Hadoop implementations moving forward. As another example, Spark doesn't embrace its own distributed storage layer, and per se it's going to profit of Hadoop's distributed file system (HDFS), among alternative technologies unrelated to Hadoop (such as Mess).

3. Flink:- Apache Flink may be a streaming data flow engine, planning to offer facilities for distributed computation over streams of knowledge. Treating batch processes as a special case of streaming knowledge, Flink is effectively a batch and data processing framework, however one that clearly puts streaming initial.

4. Storm:- Apache Storm may be a distributed period of time computation system, whose applications a designed as directed acyclic graphs. Storm is intended for simply process limitless streams, and may be used with any programming language. It's been benchmarked at process over one thousand tuples per second per node, is very climbable, and provides process job guarantees. Distinctive for things on this list, Storm is written in Clojure, the Lisp-like functional-first programming language.

5. Samza:- Finally, Apache Samza is another distributed stream process framework. Samza is made on Apache author for electronic messaging and YARN for cluster resource management. Its website provides the subsequent summary of Samza: Simple API: not like most low-level electronic messaging system arthropod genus, Samza provides a really straightforward callback-based “process message” API akin to MapReduce.

Future in Bigdata and hadoop developer and trending:

Hadoop could be a technology of the long run, particularly in giant enterprises. The number of information is just progressing to increase and at the same time, the requirement for this package goes to rise solely. In the worldwide huge knowledge and business analytics market stood at US$ 169 billion and by 2022, it's foretold to grow to US$ 274 billion. Moreover, a PwC report predicts that by 2020, there'll be around a pair of.7 million job postings in knowledge Science and Analytics within the United States of America alone. And the engineers United Nations agency will fill that require square measure progressing to be only a few attributable to one crucial limitation: MapReduce could be a procedure model that's used for writing applications running in Hadoop. Raise one in every of your batch mates if they knowledge to jot down in MapReduce, and you'd draw a blank with regard to the name solely. Delicate engineers within the Analytics department would even be exhausting to return by. And yet, the market is just increasing because the graph below depicts: You can have one in every of the subsequent profiles. The wage figures square measure representative of the Indian subcontinent: Big Data: Must-Know Tools and Technologies Hadoop Developer The main task would be to develop Hadoop technologies victimization Java, HQL, and scripting languages. Offered wage is between government agency 5-10 LPA

Hadoop creator:- The one United Nations agency plans and styles the massive knowledge design. He/ she is the pinnacle of the project and manage development and readying across Hadoop applications. The wage vary is government agency 11th of September LPA.

Hadoop Tester:- Once the appliance is prepared, the tester tests it for any errors and fixes bugs, broken code snippets, etc. The proffered wage is between government agency 5-10 LPA.

Hadoop Administrator:- S/he installs and monitors the Hadoop clusters victimization watching tools like Nagios, Ganglia, etc. wage varies between government agency 10-15 LPA.

Data Scientist:- Using huge knowledge tools and applied mathematics techniques, a knowledge soul solves business-related issues and plays a vital role in deciding the direction of the organization. The wage vary is between government agency 10-15 LPA.

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Key Features

ACTE India offers Hadoop Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

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 and National Institute of Education (nie) Singapore.


Syllabus of Hadoop Course in India
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
  • 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
  • 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
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Hands-on Real Time Hadoop Projects

Project 1
Detecting Parkinson’s Disease

The Main Objectives of this project is to build a model to accurately detect the presence of Parkinson's disease in an individual.

Project 2
Color Detection with Python Project

In this color detection Python project, we are going to build an application through which you can automatically get the name of the color by clicking on them.

Project 3
Leaf Disease Detection Project

To detect unhealthy region of plant leaves. Classification of plant leaf diseases using texture features. Coding is used to analyze the leaf infection.

Project 4
Data migration Project

Regardless of the exact purpose of data migration, the goal is generally to enhance performance and competitiveness. But you have to get it right.

Our Engaging Placement Partners

ACTE India helps more than 1000+ understudies each year. Our restrictive situation cell will unmistakably  zeroing in on Understudies Positions. Our talented understudies acted in all meetings and they convey what the organizations are searching for and accomplish their vocation start without any problem.
  • Our enough push is apportioned in improving the show abilities/persuading power alongside other specialized contributions to make our learners solid competitors in any enlistment.
  • We furnish our understudies with one of a kind and drawing in content on an easy to use and vivid learning stage that helps them to go to the instructional meetings as well as perused learning materials, keep in touch with the employees, practice labs, 24x7 help from a solitary window that makes learning compelling.
  • We additionally furnish our learners with web based perusing and study materials so our applicants can get to them whenever from anyplace.
  • We have organizations with different tech monsters like Infosys, Aware, Google, IBM, TCS, Dell, HP, and some more
  • We offer a 100% assurance on Big Data and Hadoop training in India accreditation and industry applicable venture based preparing.
  • We evaluate understudies by giving them a scope of placement assessments and helping them in regions where they need to improve.

Get Certified By MapR Certified Hadoop Developer (MCHD) & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees. Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

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About Adequate Hadoop Mentor

  • Our Big Data and Hadoop Training in India have gifted coaches convey well, see how understudies , and incorporate an undeniable degree of energy and eagerness about the substance that they instruct.
  • Their mastery abilities help to recognize the need of members for successful mentors and are focused on the choicest nature of learning and advancement that guarantees a positive encounter.
  • Our ACTE India has been granted with different honors and acknowledgments for the quality preparing we give to our competitors here.
  • Instructors are mechanical specialists and have down to earth information as they show our learners as well as work in Firm like TCS, Infosys, Google, L&T and so on
  • So far, our instructors have finished more than 2500 hours of Big Data and Hadoop Training in India.
  • We help our mentors in remaining momentum with the freshest headways in instructing, examination, and innovation to furnish our learners with a top notch learning.

Hadoop Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 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
    • Gives
    • 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 and National Institute of Education (NIE) Singapore
  • 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 National Institute of Education (NIE), Singapore.
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 93800 99996 / Directly can do by'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 Big Data

      More than 35% of Data Professionals Prefer Big Data. Big Data Is Widely Recognized as the Most Popular and In-demand Data Technology in the Tech World.

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