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Big Data Hadoop Certification Training in Chennai

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  • Next Big Data Hadoop Certification Batch to Begin this week – Enroll Your Name Now!

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Upcoming Batches

28-Nov -2022

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

30-Nov -2022

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

03- Dec - 2022

Weekend Regular

(10:00 AM - 01:30 PM)

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

03- Dec - 2022

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(09:00 AM - 02:00 PM)

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Get Train Our with Big Data Hadoop Certification Course in Chennai

  • The Hadoop Training in Chennai at ACTE is an extensive training course that makes you familiar with Hadoop Distributed File System, Hadoop Clusters, Hadoop MapReduce, and its Ecosystem for Big Data Processing with hands-on training provided by our Expert Big Data Professionals.
  • This Big Data Training in Chennai aids you to get demonstrable knowledge on key tools such as PIG, HDFS, Pig, Apache Hive, Java, Apache Spark, Flume, and Sqoop that are highly sought after in the Big Data domain. any qualifications. We provide a certificate of completion for each path we provide.
  • Once you have accomplished all of the academic and real-world objectives, we will provide you with a course completion certificate.
  • Expertly designed Big Data Hadoop Course courses to fulfill the needs of the worldwide business.
  • ACTE strongly believes in the blended approach of learning, and we equip students with the correct mix of academic and practical understanding about Big Data Hadoop.
  • Our team of Big Data Trainers provides each student with the necessary personalized attention and intensive instruction with complete hands-on practice. Hadoop is used to process large amounts of data.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

  • Data processing in real-time.
  • Spark applications that use functional programming.
  • Processing in parallel.
  • Techniques for optimizing Spark RDD.
  • SQL Spark.
  • Develop skills that will allow you to advance in your career.
  • Innovative curriculum developed in collaboration with business and academia to improve job-readiness skills.
  • Learn from specialists who are effective in their field, not from out-of-touch teachers.
  • Directing practitioners with existing promising methods and case studies to sessions that fit your work schedule.
  • Work on real-world problems to learn.
A Hadoop Developer's salary in Seattle is fundamentally influenced by an individual's useful abilities, the extent of limitations, work comprehension, affiliation size and notoriety, and occupation region.Pay for senior-level Hadoop Developers is typically high, and the overall Hadoop Big Data market is expected to grow at a CAGR of 43 percent from $4.91 billion in 2015 to $40.69 billion in the following years.
The Massive Data Hadoop certification preparation online course is generally appropriate for IT, Data Management, and Analytics specialists hoping to gain authority in Big Data Hadoop, including Software Developers and Architects, Senior IT specialists, Testing and Mainframe specialists, Business Intelligence specialists, Project Managers, Aspiring Data Scientists, Graduates hoping to begin a career in Big Data Analytics.
  • Planning, creating, recording, and architecting Hadoop applications are all fundamental for the organization.
  • In charge of supervising and screening Hadoop log records.
  • Create MapReduce code that limits a lot of Hadoop gatherings.
  • Experience with SQL, NoSQL, information warehousing, and DBA is required.
  • Learn everything you can about the Hadoop environment and Hadoop Common.
  • Transform difficult-to-understand specific nuances into outstanding plans.
  • According to Robert Abate, Global Director, Kimberly-Clark Corporation, Big Data answers questions that many organizations did not even know they had.
  • Big Data assists organizations in identifying and exploring new opportunities.
  • Companies can gain a more comprehensive understanding of their business, products, customers, and competitors when Big Data is effectively gathered and efficiently analyzed.
  • Big Data technologies such as Hadoop and cloud-based analytics also help to reduce costs, improve business efficiency, and increase customer satisfaction through better understanding.
You can choose from a variety of course projects to work on to gain Hadoop skills. These are some examples:
  • MapReduce, Sqoop, and Hive project.
  • Using MovieLens data, create a project.
  • Project on Hadoop YARN and End-to-End Proof of Concept.
  • Hive Table Partitioning Project.
  • Pentaho-Hadoop Ecosystem Integration Project.
  • Setup of a multi-node cluster project.
  • MRUnit-based Hadoop Testing Project.
  • The maintenance of Hadoop is a project.
  • Hadoop web log analytics project.
The following topics are covered in the Big Data Hadoop Certification course:
  • Hadoop installation and configuration.
  • Introduction to Hadoop, a Big Data platform.
  • An in-depth look at MapReduce.
  • An overview of HIVE.
  • HIVE and Impala advanced training.
  • Pig's first appearance.
  • Learn more about PIG, including Flume, Sqoop, and HBase.
  • Scala is used to creating Spark applications.

These are the Big Data Hadoop available online Training in Chennai?

  • Hadoop Certification from Cloudera.
  • Hadoop Certification from Hortonworks.
  • MapR Hadoop Accreditation.
  • Certification by IBM for Hadoop.
  • SAS Hadoop Certification

What qualifications are required for Big Data Hadoop Certifications?

The following are the prerequisites for Big Data Hadoop Certifications:
  • The student must have relevant experience as a programming developer and system administrator.
  • The student should have a professional background, knowledge, skills, and experience as a project manager with relevant Big Data Hadoop experience.
  • As a developer, the student should be able to use Big Data Hadoop features such as testing, administration, and analytics.
  • The student should be a professional in analytics.
  • It is necessary to know about business intelligence and data warehousing.

Who can enrol in Project Management Professional Course in Chennai?

  • Those who have completed at least 4500 hours of project work and have a Graduation Certificate.
  • Those interested in learning more about PMI's project management principles - PMP Lead and direct cross-functional teams with the goal of completing projects on time, within budget, and with limited resources.
  • Project managers, team leaders, and anyone else interested in project management should read this. Professionals with prior experience looking to advance their careers.

Is it possible to make a good living as a Big Data Hadoop expert?

A Hadoop Developer's salary in Seattle is fundamentally influenced by an individual's useful abilities, the extent of limitations, work comprehension, affiliation size and notoriety, and occupation region. Pay for senior-level Hadoop Developers is typically high, and the overall Hadoop Big Data market is expected to grow at a CAGR of 43 percent from $4.91 billion in 2015 to $40.69 billion in the following years.

If there is anything essential in Big Data Hadoop Training?

Specialists preparing for Big Data Hadoop insistence should have a solid understanding of Core Java and SQL. If you want to assess your Core Java skills, Simplilearn includes a free independent course Java fundamentals for Hadoop as part of the course plan.
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Overview of Big Data Hadoop Certification Training in Chennai

Our comprehensive program focuses exclusively on big data engineer training in Chennai. Embark on your exciting new career in big data and data engineering through this top-rated program that was created in collaboration with IBM. For a big data engineer training in Chennai that helps its learners gain skills in Hadoop frameworks, Services on AWS, and others, you are at the right place. IBM is the 2nd largest ML and predictive analytics solutions provider, Simplilearn is delighted to announce this IBM collaboration, and consequently provide a globally in-demand big data engineer training in Chennai delivered by some of the top Instructors.

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Key Features

ACTE Chennai offers Big Data Hadoop Certification 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 Big Data Hadoop Certification Course in Chennai
Module 1: Introduction to Big Data Hadoop Certification
  • 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 Big Data Hadoop Certification
  • Big Data Hadoop Certification Distributed File System
  • Comparing Big Data Hadoop Certification & SQL
  • Industries using Big Data Hadoop Certification
  • Data Locality
  • Big Data Hadoop Certification Architecture
  • Map Reduce & HDFS
  • Using the Big Data Hadoop Certification single node image (Clone)
Module 4: Big Data Hadoop Certification Distributed File System (HDFS)
  • HDFS Design & Concepts
  • Blocks, Name nodes and Data nodes
  • HDFS High-Availability and HDFS Federation
  • Big Data Hadoop Certification 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 Big Data Hadoop Certification 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 Big Data Hadoop Certification Configuration API discussion
  • Emulating “grep” for searching inside a file in Big Data Hadoop Certification
  • DBInput Format
  • Job Dependency API discussion
  • Input Format API discussion,Split API discussion
  • Custom Data type creation in Big Data Hadoop Certification
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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Need customized curriculum?

Best Practising on Live Big Data Hadoop Certification Training Projects

Project 1
Airline Sentiment Analysis

Airline Sentiment analyzes the sentiments of the feedback and reviews provided by the passengers.

Project 2
Text Mining Project

This project performs the text analysis and visualization for the provided documents.

Project 3
Agricultural Data Analysis

This project aims at helping the farmers of the world to increase the productivity of their work.

Project 4
Analyze Crime Rates

It finds patterns in the crimes to help the agencies in predicting future events and helps them in mitigating.

Our Top Hiring Paretner for Placements

    ACTE offers placement opportunities as add-on to every student / professional who completed our classroom in Our Data Science. Some of our students are working in these companies listed below.
  • Our Big Data Hadoop training institutions in Chennai provide a welcoming atmosphere in which to learn all aspects of the Big Data Hadoop Certification. In addition, we offer the Best Big Data Hadoop Training with 100% Placement Support.
  • Our virtual live Big Data Hadoop program would be an amazing experience, providing you with knowledge and understanding of Big Data Hadoop Management tools as well as Continuous Expert Support.
  • We teach the official PMI-developed components in our Big Data Hadoop virtual live certification training event.
  • We have a Group Discussion on the Topic at the end of the Training Section.
  • Our alumni work for large multinational corporations in Chennai and throughout the world.
  • Our Live Online Placement service is available in real-time, giving you the same experiences as in-person training but with the extra convenience of remote access.

Get Certified By MapR Certified Big Data Hadoop Certification 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.

Complete Your Course

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 Big Data Hadoop Trainers

  • Our Trained Instructor will ensure that your learning objectives are reached throughout this tough training session.
  • Furthermore, our knowledgeable panel will assist you in preparing for and passing the PBig Data HadoopMP test.
  • The new corporate development framework will be presented by this Trainer.
  • Several honors have been bestowed upon our Institute, including Best Online Training (National/Regional), Best Corporate Training Program (National/Regional), Best Training Classes for Competitive Exams Entrance (National/Regional), and others.
  • In addition, ACTE provides live online education programs led by PMP-certified experts.
  • ACTE Instructors are institutional leaders with at least nine years of experience who are always learning and evolving as individuals.
  • You will follow the same timetable as the classroom course and will be able to interact with the trainer and other delegates.

Big Data Hadoop Certification Course Reviews

Our ACTE Chennai Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.



"I would like to recommend to the learners who wants to be an expert on Big Data just one place i.e.,ACTE institute at Anna nagar. After several research with several Training Institutes I ended up with ACTE. My Big Data Hadoop trainer was so helpful in replying, solving the issues and Explanations are clean, clear, easy to understand the concepts and it is one of the Best Training Institute for Hadoop Training"

Priya Dharshini

Software Engineer

Best faculty here for Big Data Hadoop training in ACTE. I joined in online and the training was smooth and very real time


Software Engineer

The training here is very well structured and is very much peculiar with the current industry standards. Working on real-time projects & case studies will help us build hands-on experience which we can avail at this institute. Also, the faculty here helps to build knowledge of interview questions & conducts repetitive mock interviews which will help in building immense confidence. Overall it was a very good experience in availing training in Tambaram at the ACTE Institute. I strongly recommend this institute to others for excelling in their career profession.



I had an outstanding experience in learning Hadoop from ACTE Institute. The trainer here was very much focused on enhancing knowledge of both theoretical & as well as practical concepts among the students. They had also focused on mock interviews & test assignments which helped me towards boosting my confidence.


Software Engineer

The Hadoop Training by sundhar sir Velachery branch was great. The course was detailed and covered all the required knowledge essential for Big Data Hadoop. The time mentioned was strictly met and without missing any milestone.Should be recommended who is looking Hadoop training course ACTE institute in Chennai.

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Big Data Hadoop Certification 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
    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 and National Institute of Education (NIE) Singapore
  • The entire Big Data Hadoop Certification 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 Big Data Hadoop Certification Course At ACTE?

  • Big Data Hadoop Certification Course in ACTE is designed & conducted by Big Data Hadoop Certification experts with 10+ years of experience in the Big Data Hadoop Certification 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 Big Data Hadoop Certification batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Big Data Hadoop Certification . 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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