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Hadoop Training in Kolkata

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  • In this course you will learn more than Hadoop, you will learn everything about Big Data as well. With our course, you will become a big data master expert, from installation to configuration to handling the data.
  • This tutorial will teach you not only what those systems are and how they work together, but also how to use them to solve real business problems!
  • The only pre-requisite is an understanding of UNIX and Java. At the end of this course, in collaboration with Big Data experts, you will not only have the theoretical knowledge, but also the confidence to put this knowledge into practice.
  • The course will prepare you to take on big data projects quickly. In this course, we will explore big data concepts, how to set up and configure Hadoop and EC2 instances, about HDFS, Map Reduce, and how to install and configure Apache Pig and Hive.
  • Students at all levels will understand all subjects through the use of simple examples, applications, and explanations.
  • There are both theory and practical sessions available to students for their benefit. Our training programs prepare students for placement in top companies.
  • You will learn Hadoop and its associated distributed systems in-depth, and you will be able to apply Hadoop to real-world problems. Furthermore, a valuable certificate of completion awaits you upon completion!
  • 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
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Course Objectives

Certification in data analytics can help you in the following ways:
  • It improves your chances of getting highly sought-after positions.
  • t qualifies you for many areas such as E-commerce, retail, healthcare, finance, entertainment, and so on.
  • It is less expensive than on-the-job training or obtaining a college diploma.
  • Self-motivation and enthusiasm for the subject are evident.
  • It establishes your authority in the field.
  • It enhances your chances of getting a raise.
  • It keeps you up to date on the most recent industry developments.
You will be able to comprehend the following after completing our course:
  • What is Big Data, why is it important, and how can it be used in business?
  • The methods for extracting value from Big Data
  • The fundamentals of Hadoop, including HDFs and MapReduce.
  • Getting a Glimpse of the Hadoop Ecosystem
  • Analyzing Big Data with a variety of tools and approaches
  • Using Pig and Hive to extract data
  • How can the organization's data sets be made more sustainable and flexible?
  • Creating Big Data strategies to promote business insight
There is a tremendous need for Big Data & Hadoop specialists as businesses recognize the benefits of Big Data Analytics. Companies want Big Data & Hadoop professionals who are familiar with the Hadoop Ecosystem and best practices for HDFS, MapReduce, Spark, HBase, Hive, Pig, Oozie, Sqoop, and Flume. The Big Data Hadoop Training is designed to help you become a certified Big Data practitioner by giving you extensive hands-on experience with the Hadoop Ecosystem. This Big Data Hadoop online training is the first step on your Big Data journey, and you'll get to work on a variety of Big Data projects.
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 import data into HDFS and analyze huge datasets stored there.
  • The opportunity to work on a variety of real-world industry-based projects CloudLab
Considering all of the technologies accessible in the IT sector today, Big Data is one of the fastest-growing and most promising disciplines. To take advantage of these opportunities, you'll need a structured training program that includes the most up-to-date material based on current industry needs and best practices. You must work on numerous real-world big data projects employing various Big Data and Hadoop tools as part of the solution approach, in addition to having a solid theoretical grasp. Furthermore, you will want the assistance of a Hadoop specialist who is presently working in the business on real-world Big Data projects and debugging day-to-day implementation difficulties.
  • Our professional teachers will teach you how to master the fundamentals of HDFS (Hadoop Distributed File System), YARN (Yet Another Resource Negotiator), and how to deal with Hadoop storage and resource management throughout the Big Data & Hadoop course.
  • Recognize the MapReduce Framework
  • Use MapReduce to implement a complicated business solution.
  • Using Sqoop and Flume, learn data ingestion strategies.
  • Pig and Hive are used to do ETL operations and data analytics.
  • In Hive, Partitioning, Bucketing, and Indexing are implemented.
  • Our Big Data Hadoop Course can be pursued by professionals as 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.

How will Big Data and Hadoop Training help your career?

The following forecasts can assist you in comprehending Big Data's growth:
    • By this year, the Hadoop market is anticipated to reach 99.31%, with a CAGR of 42.1 percent. According to Forbes McKinsey, there will be a need for 1.5 million data specialists.
    • Big Data Hadoop Developers earn an average of INR 97 per hour.

What are the prerequisites for a Big Data Hadoop Training 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 enroll in the Big Data and Hadoop Course, we will provide you a free self-paced course on "Java fundamentals for Hadoop" to help you brush up on your abilities.

What is the best way to learn Big Data and Hadoop?

The course for Big Data Hadoop Certification is designed to assist you in learning and mastering the complete 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 offer real-time projects for our students to work on to get more hands-on experience. We provide the ideal atmosphere for all learners to get as much practical experience as possible with our cloud lab implementation.

How much time and days does it take to learn Big Data and Hadoop?

In only one month, you will be able to grasp the principles and practical execution of the Big Data Hadoop certification course. In one month, you can master the technology with committed resources and a never-say-die mentality.

How should beginners start to learn Big Data and Hadoop?

The first step is often the most crucial and difficult to take. We realize that you need to learn more about the technology before you are serious about being certified. There are several lessons on the Hadoop environment on our YouTube channel and websites. These tutorials are all you need to get your basics cleared and get started with Hadoop. These courses will teach you all you need to know to get started with Hadoop.
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Overview of Hadoop Training in Kolkata

Our Big Data & Hadoop Course in Kolkata course enables you to learn the Hadoop conceptual framework and prepare for the Hadoop Certification Exam of Cloudera. Learn how different Hadoop ecosystem components fit into the life cycle of Big Data processing. Provides a large data Hadoop certification training in accordance with the clearing of the certification examination of Cloudera, established by the industry, career-oriented. This is a master's program that provides you with practical experience in developing, managing, analyzing, and testing roles in Hadoop. You will be awarded the IBM certification at the end of the training and after the successful completion of the IBM project.

In order to become an efficient developer of Hadoop technology, the course on Hadoop and Big data will provide expanded understanding and techniques. Besides learning, the virtual realization of live industry applications by employing the main concepts of the subject. Large data groups can be maintained in simpler versions for easy accessibility and management with simple programming modules. Hadoop training is handled by technology with the highest skills.

Additional Info

A massive amount of data may be brought together and analyzed using Big Data platforms to uncover patterns that will help the organization expand, enhance productivity, and add value to its products and services . Hadoop is the most widely used of these systems. Hadoop is capable of analyzing and extracting usable information from large amounts of data quickly.

Hadoop is a software tool that employs a network of several computers to solve problems involving enormous volumes of computation and data, both structured and unstructured, allowing for greater flexibility in data collecting, processing, analysis, and management. It has an open-source distributed framework for distributing Big data application storage, management, and processing over scalable clusters of computer systems.

Roles and responsibilities of a Big Data Administrator :

  • Construct, install, and configure a Hadoop cluster
  • Configure and install software
  • Manage the overall health and well-being of the Hadoop cluster
  • Access provided and managed
  • Assist with the design and implementation of physical and online security systems
  • Work with Hadoop Architect on storage and database structure design and configuration

Roles and responsibilities of a Big Data Architect :

  • Create a concept, a plan, and a design. Design functional and technological architectures for the Hadoop data system
  • Complete understanding of big data ecosystem technologies and their applications
  • Technology selection and analysis of the framework and technical requirements
  • On the Hadoop/big data platform, manage all databases, their objects, and data
  • Collaboration between Hadoop Administrators, Hadoop Architects, and Hadoop Developers is essential
  • Practical experience with Hadoop's core tools and technologies
  • Implement and manage big data solutions
  • Manage the entire Hadoop/big data solution

  • Job Duties and Responsibilities of a Big Data Analyst

  • Analyze data and place it in the context of company functions and demands
  • Data and business functions are well-understood
  • Adept at analyzing data on the fly
  • Serve as a link between IT and the business world

Job Duties and Responsibilities of a Big Data Developer :

  • Using open-source programming languages, create custom apps for the Hadoop platform
  • Stakeholders are informed about design concepts
  • Develop an ETL/ELT procedure to locate the correct data in a readable manner
  • Recognize data sources, data structures, and their relationships
  • Exceptional analytic and logical abilities

Job Roles and Responsibilities for Data Visualization Developers :

  • Develop a data visualization analysis to give decision-makers value-added analytics
  • Understand the data structure and data flow between systems to ensure that the appropriate data is available for reporting and analytics
  • To ensure data integrity and completeness, collaborate closely with data quality and analysts

Job Duties and Responsibilities of a Big Data Scientist :

  • Modeling and development for predictive analytics
  • Analyze complex and heterogeneous data to assist a company in making decisions
  • Software engineer with good math and statistics skills; applied scientist by nature

Job Roles and Responsibilities of a Big Data Steward :

  • Allow the company to spend less time looking for data and more time putting it to good use
  • Implement and ensure data quality with the support of the necessary people, procedures, and technologies, and foster an analytic culture throughout the organization
  • Define and implement data-related policies, auditing, and laws; collaborate with multiple IT and business departments to establish data provisioning and sharing procedures
  • Determine and implement the appropriate master data and metadata management policies
  • Ascertain that all security and operational measures are in place to protect the company's data platform

Roles and responsibilities of Hadoop :

Developer for Hadoop :

The actual coding or programming of Hadoop applications is the responsibility of a Hadoop Developer. This position is comparable to that of a Software Developer. The job functions are nearly identical. However, the former falls within the Big Data umbrella.

  • Development and implementation of Hadoop
  • Hive and Pig for pre-processing
  • Creating, constructing, installing, configuring, and maintaining Hadoop
  • Analyze large data sets to discover new information.
  • Create data tracking web services that are scalable and high-performing.
  • HBase administration and deployment
  • Prototypes are tested and handed over to operational teams.

Architect of Hadoop :

Big Data Architect creates high-performance, low-cost Big Data applications to assist clients in answering their business concerns. There is a lot of information. Being nimble is also advantageous, especially when dealing with modern technology. You choose tools carefully able to embrace open-source technologies in all of their positive and negative elementsYou should choose tools carefully and embrace open-source technologies in all of their benefits and drawbacks.

  • Take ownership of the Hadoop Life Cycle in the enterprise and serve as a liaison between data scientists, engineers, demands of the organization.
  • Perform a thorough analysis of the requirements and select the work platform solely for this purpose.
  • It required that you have a thorough understanding of Hadoop Architecture and HDFS.
  • MapReduce, HBase, Pig, Java, and Hive are all skills that are useful to have.
  • Assure that the Hadoop solution chosen deployed successfully.

Required Skills for Big Data and Hadoop :

  • Skills in Analyze
  • Ability to Visualize Data
  • Knowledge of the business domain and Big Data tools are required
  • Problem-solving skills are a necessary part of programming
  • Data mining skills using SQL (Structured Query Language)
  • Technology acquaintance
  • Knowledge of Public, Private, and Hybrid Clouds
  • The hands-on experience has taught me a lot of skills
  • Expertise in Hadoop HDFS, Hive, Pig, Flume, and Sqoop.
  • Working in HQL is a plus.
  • Pig Latin and Map Writing Experience
  • Reduce the number of jobs
  • Hadoop fundamentals are well-understood.
  • Understanding of data loading technologies such as Flume, Sqoop, and others Analytical and problem-solving skills; application of these talents in the Big Data area
  • Database principles, methods, architecture, and theories are well-understood.

Tools for Big Data :

  • Hadoop
  • Spark
  • Flink Apache
  • Storm Apache
  • Cassandra Apache
  • HDFS
  • HIVE
  • NoSQL
  • Mahout
  • Avro
  • GIS tools
  • Flume
  • Clouds
  • Spark
  • MapReduce
  • Impala

Integration Module :

The use of software, services, and business processes for extracting data from various sources to make coherent and meaningful information is data integration. Data integration makes data analysis faster and more efficient. Big data integration tools are essential because they become more accessible to sort via large amounts of structured or unstructured data. Software, hardware, service, and business practices may include data integration tools. Integration platforms contribute to a unified and centralized system and business unit data management across a company. Big data cloud tools and services link data, applications, APIs, things, and other sources over the device

Certifications :

  • Professional Cloudera Certified
  • Big Data certification Intellipaat Hadoop
  • MCSE of Microsoft : Analysis and Data Management
  • Certification of Hortonworks Hadoop
  • The Developer Exam certified by MongoDB
  • EMC data science and data analysis certification
  • Data Scientist SAS Certified
  • US Data Science Council Certification
  • Certification for Oracle Business Intelligence
  • Massive Data Sets Certificate for Mining
  • Certification for Hadoop MapR
  • Hadoop Certification from IBM
  • SAS Certification for Hadoop

Benefits of Big data :

Everybody heard of Big Data and the wave in the industry which created. After all, there is always news: companies from different industries use big data to promote decision-making on data. The popularity of Big Data is now widening beyond the technology sector to include, among others: health, training, government, retail, production, BFSI, and supply chain management and logistics. Nearly every company and business, large or small, already harnesses the advantages of big data.

"Big data are high-volume, high-speed, and diversified information assets that require new processing methods to enable enhanced decision-making," Gartner said, Rapid development and implementation of disruptive technology leading to the rapidly increasing mobile data transmission, cloud computing, and high smartphone penetration all contribute to the increasing volume and complexity of large data sets,Because the benefits of Big Data are numerous, companies are quick to take advantage of Big data technologies.

Lowering Costs :
  • Maintain and manage your internet reputation
  • Identify points that are hidden in large data sets to influence business decisions.
  • Risks are mitigated quickly through the optimization of complex decisions for unexpected events and potential threats.
  • Identify problems in real-time in systems and business processes.
  • Unlock the real marketing potential based on data.
  • Check the data of customers for custom products, services, offers, discounts, etc.
  • Assist in the timely delivery of products and services that meet and exceed client expectations.
  • Diversify revenue streams to increase revenues and return on investment.
  • Respond in real-time to client requests, complaints, and questions.
  • Encourage innovative company tactics, products, and services to emerge.

Benefits of Hadoop :

  • Excellent value for money
  • Excellent data consistency
  • Scalable to the max
  • Simple, quick, and adaptable
  • Authentication and security that is comprehensive

Payscale for BigData :

Companies pay Big data experts between 200K and 350K per hour on average. A Data Analyst earns an average of 614K a year. In India, a Hadoop developer earns an average of $965K a year.

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Key Features

ACTE Kolkata 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 Kolkata
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

After collecting large volumes of data from disparate sources, Yandex.Traffic analyses the data to map accurate results on a particular city’s map via Yandex.Maps.

Project 2
Fraud Detection

Modern Big Data projects means hackers are ever prepared for technological exploitation of text messages, emails, financial transactions, oral communications and more.

Project 3
Crime Prediction

In the process of ML, historical crime data, subjects, crime locations, descriptions of perpetrators and subjects, occurrence time, etc.

Project 4
E-commerce Site project

eCommerce drives profitable growth by expanding customer reach, reducing cost-to-serve, and creating differentiated customer experiences.

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ACTE Kolkata for affirmation and Guaranteed Situations. Our Work Situated classes are educated by experienced confirmed experts with broad certifiable experience. All our Best around down to earth than hypothesis model.
  • Analytical abilities require the utilization of rationale and thinking to investigate circumstances and make determinations from that examination. Understudies who have these abilities are bound to master rapidly and work on over the long run in a job, which is the reason scientific abilities are superior to different abilities at foreseeing long haul work achievement.
  • The most critical part to face a social event is to help the sureness of continuing till the end. different understudies lose openings taking into account their deficit of sureness. our the planning programs are organized in such a manner to forgo dread and feebleness among the understudies and lift their spirit. whenever they are equipped with the truly significant affirmation, they are a good thought to go to go.
  • Our training programs, the understudies are furnished with data about different fields and it empowers them to pick the one they are enthusiastic about. The shortage of data is a problematic issue and our strategy programs never neglects to introduce even the second subtleties on what's going in the world and which space has a pleasant future and more business choices.
  • Various preparing Exercises are worked with to set up the understudies in the space of wellbeing, quantitative thinking, sensible thinking and verbal through the alleged outside preparing center interests.
  • Training through Mock social events for understudies to perform well in the expert get-togethers according to the doubts for the corporate world.
  • Also near the culmination of the course ACTE will lead a test which is set up by our IT fit. whoever scores over 80% on the test he will end up being an ACTE affirmed progressional.

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About Adequate Hadoop Instructor

  • Our Big Data Hadoop Training in Kolkata takes into account the various classes of understudies. Consequently, the educational plan is organized with the end goal that they cover the most recent patterns and needs of understudies. Subsequently, understudies are talented in hypothetical information and consolidate those into genuine undertakings. Also, they refine their correspondence and language abilities at the Best Big Data Hadoop Training.
  • ACTE is outfitted with top of study material just as quality employees, those are having decade of involvement with corporate trainings. The organizations can take part in various training programs in monetary market portions.
  • Trainers well control hardware will give you a chance to investigate your profession yearnings and foster the specialized information and individual abilities you'll require for an effective and remunerating vocation. The experience will incorporate visiting gear yard and workshop.
  • Throughout your experience with us you'll get unstinting help from our group. mentor will work with learner to set learner goals toward the start of learner residency, screen learner advance and propose upgrades, just as guarantee learner have the help and strategy learner need to succeed.
  • Mentor who will impart to learner the information and knowledge they have acquired from their hands on encounters and long periods of administration. Also, guides aren't only for systems administration and information sharing they regularly become long lasting companions.
  • All of our instructors have worked for businesses like Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, and HCL Technologies.

Hadoop Course Reviews

Our ACTE Kolkata 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"


Software Engineer

ACTE is the best online training institute as per my knowledge.i have taken Hadoop training in Kolkata.Trainer gave explanation in detailed manner with live examples.i will strongly recommend ACTE. Thanks ACTE


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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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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