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Hadoop Training in Ahmedabad

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Live Instructor LED Online Training

Learn from Certified Experts

  • Beginner & Advanced level Classes.
  • Hands-On Learning in Hadoop.
  • Best Practice for interview Preparation Techniques in Hadoop.
  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Affordable Fees with Best curriculum Designed by Industrial Hadoop Expert.
  • Delivered by 9+ years of Hadoop Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
  • Next Hadoop Batch to Begin this week – Enroll Your Name Now!

Price

INR 18000

INR 14000

Price

INR 20000

INR 16000

Have Queries? Ask our Experts

+91 93833 99991

Available 24x7 for your queries

Upcoming Batches

21- JUN- 2021
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

23- JUN- 2021
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

26- JUN- 2021
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

26- JUN- 2021
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

LEARNER CAREER OUTCOMES
62%
Started a new career after completing this course.
40%
Got a pay increase or promotion.

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Learn at Home with ACTE

Online Courses by Certified Experts

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

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

This is How ACTE Students Prepare for Better Jobs

PLACED IMAGE ACTE

Course Objectives

Experts entering into the Big Data Hadoop training course in Ahmedabad should have a fundamental understanding of Core Java and SQL. If you want to clean up on your Core Java skills, ACTE allows a complimentary self-paced course Java essentials for Hadoop when you enroll for this course.

    Hadoop and SQL both control data, but in various styles. Hadoop is a framework of software elements, while SQL is a programming language. For big data, both tools have advantages and disadvantages. Hadoop manages more open data sets but only reports data once.

    You need to code to conduct numerical and applied mathematics analysis with Big Data Hadoop. A number of the languages you must invest time and cash in learning are Python, R, Java, and C++ among others. Finally, having the ability to assume sort of an engineer can assist you to become a decent big data analyst.

    If you are trying to learn Hadoop on your own, it will get a lot of time. It will depend on the level of your knowledge and training skills. Still, you can assume it will take at least 4-6 months to understand Hadoop certification and begin your big data training.

  • Software Developers, Project Managers.
  • Software Architects.
  • ETL and knowledge reposition Professionals.
  • Data Engineers.
  • Data Analysts & Business Intelligence Professionals.
  • DBAs and decibel professionals.
  • Senior IT Professionals.
  • Testing professionals.
  • Mainframe professionals.

    Companies are showing interest in Big Data and are using Hadoop to store & analyze it. Hence, the demand for jobs in Big Data and Hadoop is additionally rising chop-chop. If you're inquisitive about following a career in this field, now could be the proper time to start with big data of Hadoop training.

  • Analytical Skills.
  • Data visualization skills.
  • Familiarity with Business Domain and Big Data Tools.
  • Skills of Programming.
  • Problem-finding Skills.
  • SQL – Structured command language.
  • Skills of Data Mining.
  • Familiarity with Technologies.

What are the benefits of the Big Data Hadoop Certification Training Course?

    Although industry-domain experience is important, a Big Data Hadoop certification course can make you for multiple job opportunities across various industries. You'll be able to get further training for different connected concepts and additionally try your hands at industry-niche comes to bring in higher job opportunities.

What are the tools needed for the Big Data Hadoop Certification Training Course?

Hadoop Distributed File System. The Hadoop Distributed filing system (HDFS) is meant to store giant knowledge sets faithfully, and to stream those knowledge sets at high information to user applications:
  • Hbase.
  • HIVE.
  • Sqoop.
  • ZooKeeper.
  • NOSQL.
  • Mahout.

What are different job roles available for Big Data Hadoop Certification Training Course?

  • Data analyst.
  • Data scientist.
  • Big Data testing engineer.
  • Big Data Engineer.
  • Data Architect.

What are the purposes of our Big Data Hadoop Certification Training Course?

  • In-depth data of Big Data and Hadoop together with HDFS (Hadoop Distributed filing system), YARN (Yet Another Resource Negotiator) & MapReduce.
  • Comprehensive data of assorted tools that fall in Hadoop schemes like Pig, Hive, Sqoop, Flume, Oozie, and HBase.
  • The capability to ingest knowledge in HDFS using Sqoop & Flume, and analyze those giant datasets hold on within the HDFS.
  • The exposure to several universe industry-based comes which can be dead in Projects that are various cover modified data sets from multiple domains like banking, telecommunication, social media, insurance, and e-commerce.
  • Rigorous involvement of a Hadoop professional throughout the Big Data Hadoop training to learn trade standards and best practices.

Why do I have to choose Big Data for Hadoop Certification Training Course?

    Big Data is one of every of the fast and most promising fields, considering all the technologies obtainable within the IT market these days. to require advantage of these opportunities, you wish structured training with the newest program as per current trade needs and best practices. Besides sturdy theoretical understanding, if you wish to figure out a varied universe, Big Data projects from the using of completely different Big Data And Hadoop tools as a locality of resolution strategy. Additionally, you wish the guidance of a Hadoop professional who is presently operating within the trade on universe Big Data projects and troubleshooting day-to-day challenges whereas implementing them.

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About Hadoop Training Course in Ahmedabad

Training in Big Data and Hadoop by ACTE has certain organizational benefits as well. Hadoop enables organizations to run applications on thousands of nodes. Given the ease with which it allows you to make sense of huge volumes of data and leverage frameworks to transform the same into actionable insights, training and certification for hadoop in big data are in great demand. Start Learning with us ACTE Hadoop Classroom & Online Training Course.

Top Job Offered Hadoop Tools Covered
  • Big Data, HDFS

    YARN, Spark

    MapReduce

  • PIG, HIVE

    HBase

    Mahout, Spark MLLib

  • Solar, Lucene

    Zookeeper

    Oozie

Hadoop skills are in demand – this is an undeniable fact! Hence, there is an urgent need for IT professionals to keep themselves in trend with Hadoop and Big Data technologies. Apache Hadoop provides you with means to ramp up your career and gives you the following advantages: Accelerated career growth.

Hadoop is the supermodel of Big Data. If you are a Fresher there is a huge scope if you are skilled in Hadoop. The need for analytics professionals and Big Data architects is also increasing . Today many people are looking to pursue their big data career by grabbing big data jobs as freshers.

Even as a fresher, you can get a job in Hadoop domain. It is definitely not impossible for anyone to land a job in the Hadoop domain if they invest their mind in preparing and putting their best effort in learning and understanding the Hadoop concepts.

We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for Hadoop. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.

A Hadoop Cluster uses Master-Slave architecture. It consist of a Single Master (NameNode) and a Cluster of Slaves (DataNodes) to store and process data. Hadoop is designed to run on a large number of machines that do not share any memory or disks. These DataNodes are configured as Cluster using Hadoop Configuration files. Hadoop uses a concept of replication to ensure that at least one copy of data is available in the cluster all the time. Because there are multiple copy of data, data stored on a server that goes offline or dies can be automatically replicated from a known good copy.

  • To learn Hadoop and build an excellent career in Hadoop, having basic knowledge of Linux and knowing the basic programming principles of Java is a must. Thus, to incredibly excel in the entrenched technology of Apache Hadoop, it is recommended that you at least learn Java basics.
  • Learning Hadoop is not an easy task but it becomes hassle-free if students know about the hurdles overpowering it. One of the most frequently asked questions by prospective Hadoopers is- “How much java is required for hadoop”? Hadoop is an open source software built on Java thus making it necessary for every Hadooper to be well-versed with at least java essentials for hadoop. Having knowledge of advanced Java concepts for hadoop is a plus but definitely not compulsory to learn hadoop. Your search for the question “How much Java is required for Hadoop?” ends here as this article explains elaborately on java essentials for Hadoop.

Apache Hadoop is an open source platform built on two technologies Linux operating system and Java programming language. Java is used for storing, analysing and processing large data sets. ... Hadoop is Java-based, so it typically requires professionals to learn Java for Hadoop.

Yes, you can learn Hadoop, without any basic programming knowledge . The only one thing matters is your dedication towards your work. If you really want to learn something, then you can easily learn. It also depends upon on which profile you want to start your work like there are various fields in Hadoop.

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

Yes It is worth , Future will be bright. Learning Hadoop will definitely give you a basic understanding about working of other options as well. Moreover, several organizations are using Hadoop for their workload. So there are lot of opportunities for good developers in this domain. Indeed it is!

No Learning Hadoop is not very difficult. Hadoop is a framework of java. Java is not a compulsory prerequisite for learning hadoop. ... Hadoop is an open source software platform for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware.

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

Top reasons to consider a career in Hadoop?

Hadoop brings in better career opportunities in 2015.

Learn Hadoop to pace up with the exponentially growing Big Data Market.

Increased Number of Hadoop Jobs.

Learn Hadoop to pace up with the increased adoption of Hadoop by Big data companies.


How is Hive is different from Pig

Depending on your purpose and type of data you can either choose to use Hive Hadoop component or Pig Hadoop Component based on the below differences :

  • Hive Hadoop Component is used mainly by data analysts whereas Pig Hadoop Component is generally used by Researchers and Programmers.
  • Hive Hadoop Component is used for completely structured Data whereas Pig Hadoop Component is used for semi structured data.
  • Hive Hadoop Component has a declarative SQLish language (HiveQL) whereas Pig Hadoop Component has a procedural data flow language (Pig Latin)
  • Hive Hadoop Component is mainly used for creating reports whereas Pig Hadoop Component is mainly used for programming.
  • Hive Hadoop Component operates on the server side of any cluster whereas Pig Hadoop Component operates on the client side of any cluster.
  • Hive Hadoop Component is helpful for ETL whereas Pig Hadoop is a great ETL tool for big data because of its powerful transformation and processing capabilities.
  • Hive can start an optional thrift based server that can send queries from any nook and corner directly to the Hive server which will execute them whereas this feature is not available with Pig.
  • Hive directly leverages SQL expertise and thus can be learnt easily whereas Pig is also SQL-like but varies to a great extent and thus it will take some time efforts to master Pig.
  • Hive makes use of exact variation of the SQL DLL language by defining the tables beforehand and storing the schema details in any local database whereas in case of Pig there is no dedicated metadata database and the schemas or data types will be defined in the script itself.
  • The Hive Hadoop component has a provision for partitions so that you can process the subset of data by date or in an alphabetical order whereas Pig Hadoop component does not have any notion for partitions though might be one can achieve this through filters.
  • Pig supports Avro whereas Hive does not.
  • Pig can be installed easily over Hive as it is completely based on shell interaction
  • Pig Hadoop Component renders users with sample data for each scenario and each step through its “Illustrate” function whereas this feature is not incorporated with the Hive Hadoop Component.
  • Hive has smart inbuilt features on accessing raw data but in case of Pig Latin Scripts we are not pretty sure that accessing raw data is as fast as with HiveQL.
  • You can join, order and sort data dynamically in an aggregated manner with Hive and Pig however Pig also provides you an additional COGROUP feature for performing outer joins.
  • Pig and Hive QL are not turing complete unless extended with Java UDF's.
  • Apache Pig is the most concise and compact language compared to Hive.
  • Hadoop Pig and Hive Hadoop outperform hand-coded Hadoop MapReduce jobs as they are optimised for skewed key distribution.

General Skills Expected from Hadoop Professionals

  • Ability to work with huge volumes of data so as to derive Business Intelligence
  • Knowledge to analyze data, uncover information, derive insights, and propose data-driven strategies
  • Knowledge of OOP languages like Java, C++, and Python
  • Understanding of database theories, structures, categories, properties, and best practices
  • Knowledge of installing, configuring, maintaining, and securing Hadoop
  • Analytical mind and ability to learn-unlearn-relearn concepts
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Key Features

ACTE Ahmedabad 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.

 

Curriculum

Syllabus of Hadoop Course in Ahmedabad
Module 1: Introduction to Hadoop
  • High Availability
  • Scaling
  • Advantages and Challenges
Module 2: Introduction to Big Data
  • What is Big data
  • Big Data opportunities,Challenges
  • Characteristics of Big data
Module 3: Introduction to Hadoop
  • Hadoop Distributed File System
  • Comparing Hadoop & SQL
  • Industries using Hadoop
  • Data Locality
  • Hadoop Architecture
  • Map Reduce & HDFS
  • Using the Hadoop single node image (Clone)
Module 4: Hadoop Distributed File System (HDFS)
  • HDFS Design & Concepts
  • Blocks, Name nodes and Data nodes
  • HDFS High-Availability and HDFS Federation
  • Hadoop DFS The Command-Line Interface
  • Basic File System Operations
  • Anatomy of File Read,File Write
  • Block Placement Policy and Modes
  • More detailed explanation about Configuration files
  • Metadata, FS image, Edit log, Secondary Name Node and Safe Mode
  • How to add New Data Node dynamically,decommission a Data Node dynamically (Without stopping cluster)
  • FSCK Utility. (Block report)
  • How to override default configuration at system level and Programming level
  • HDFS Federation
  • ZOOKEEPER Leader Election Algorithm
  • Exercise and small use case on HDFS
Module 5: Map Reduce
  • Map Reduce Functional Programming Basics
  • Map and Reduce Basics
  • How Map Reduce Works
  • Anatomy of a Map Reduce Job Run
  • Legacy Architecture ->Job Submission, Job Initialization, Task Assignment, Task Execution, Progress and Status Updates
  • Job Completion, Failures
  • Shuffling and Sorting
  • Splits, Record reader, Partition, Types of partitions & Combiner
  • Optimization Techniques -> Speculative Execution, JVM Reuse and No. Slots
  • Types of Schedulers and Counters
  • Comparisons between Old and New API at code and Architecture Level
  • Getting the data from RDBMS into HDFS using Custom data types
  • Distributed Cache and Hadoop Streaming (Python, Ruby and R)
  • YARN
  • Sequential Files and Map Files
  • Enabling Compression Codec’s
  • Map side Join with distributed Cache
  • Types of I/O Formats: Multiple outputs, NLINEinputformat
  • Handling small files using CombineFileInputFormat
Module 6: Map Reduce Programming – Java Programming
  • Hands on “Word Count” in Map Reduce in standalone and Pseudo distribution Mode
  • Sorting files using Hadoop Configuration API discussion
  • Emulating “grep” for searching inside a file in Hadoop
  • DBInput Format
  • Job Dependency API discussion
  • Input Format API discussion,Split API discussion
  • Custom Data type creation in Hadoop
Module 7: NOSQL
  • ACID in RDBMS and BASE in NoSQL
  • CAP Theorem and Types of Consistency
  • Types of NoSQL Databases in detail
  • Columnar Databases in Detail (HBASE and CASSANDRA)
  • TTL, Bloom Filters and Compensation
<strongclass="streight-line-text"> Module 8: HBase
  • HBase Installation, Concepts
  • HBase Data Model and Comparison between RDBMS and NOSQL
  • Master & Region Servers
  • HBase Operations (DDL and DML) through Shell and Programming and HBase Architecture
  • Catalog Tables
  • Block Cache and sharding
  • SPLITS
  • DATA Modeling (Sequential, Salted, Promoted and Random Keys)
  • Java API’s and Rest Interface
  • Client Side Buffering and Process 1 million records using Client side Buffering
  • HBase Counters
  • Enabling Replication and HBase RAW Scans
  • HBase Filters
  • Bulk Loading and Co processors (Endpoints and Observers with programs)
  • Real world use case consisting of HDFS,MR and HBASE
Module 9: Hive
  • Hive Installation, Introduction and Architecture
  • Hive Services, Hive Shell, Hive Server and Hive Web Interface (HWI)
  • Meta store, Hive QL
  • OLTP vs. OLAP
  • Working with Tables
  • Primitive data types and complex data types
  • Working with Partitions
  • User Defined Functions
  • Hive Bucketed Tables and Sampling
  • External partitioned tables, Map the data to the partition in the table, Writing the output of one query to another table, Multiple inserts
  • Dynamic Partition
  • Differences between ORDER BY, DISTRIBUTE BY and SORT BY
  • Bucketing and Sorted Bucketing with Dynamic partition
  • RC File
  • INDEXES and VIEWS
  • MAPSIDE JOINS
  • Compression on hive tables and Migrating Hive tables
  • Dynamic substation of Hive and Different ways of running Hive
  • How to enable Update in HIVE
  • Log Analysis on Hive
  • Access HBASE tables using Hive
  • Hands on Exercises
Module 10: Pig
  • Pig Installation
  • Execution Types
  • Grunt Shell
  • Pig Latin
  • Data Processing
  • Schema on read
  • Primitive data types and complex data types
  • Tuple schema, BAG Schema and MAP Schema
  • Loading and Storing
  • Filtering, Grouping and Joining
  • Debugging commands (Illustrate and Explain)
  • Validations,Type casting in PIG
  • Working with Functions
  • User Defined Functions
  • Types of JOINS in pig and Replicated Join in detail
  • SPLITS and Multiquery execution
  • Error Handling, FLATTEN and ORDER BY
  • Parameter Substitution
  • Nested For Each
  • User Defined Functions, Dynamic Invokers and Macros
  • How to access HBASE using PIG, Load and Write JSON DATA using PIG
  • Piggy Bank
  • Hands on Exercises
Module 11: SQOOP
  • Sqoop Installation
  • Import Data.(Full table, Only Subset, Target Directory, protecting Password, file format other than CSV, Compressing, Control Parallelism, All tables Import)
  • Incremental Import(Import only New data, Last Imported data, storing Password in Metastore, Sharing Metastore between Sqoop Clients)
  • Free Form Query Import
  • Export data to RDBMS,HIVE and HBASE
  • Hands on Exercises
Module 12: HCatalog
  • HCatalog Installation
  • Introduction to HCatalog
  • About Hcatalog with PIG,HIVE and MR
  • Hands on Exercises
Module 13: Flume
  • Flume Installation
  • Introduction to Flume
  • Flume Agents: Sources, Channels and Sinks
  • Log User information using Java program in to HDFS using LOG4J and Avro Source, Tail Source
  • Log User information using Java program in to HBASE using LOG4J and Avro Source, Tail Source
  • Flume Commands
  • Use case of Flume: Flume the data from twitter in to HDFS and HBASE. Do some analysis using HIVE and PIG
Module 14: More Ecosystems
  • HUE.(Hortonworks and Cloudera)
Module 15: Oozie
  • Workflow (Action, Start, Action, End, Kill, Join and Fork), Schedulers, Coordinators and Bundles.,to show how to schedule Sqoop Job, Hive, MR and PIG
  • Real world Use case which will find the top websites used by users of certain ages and will be scheduled to run for every one hour
  • Zoo Keeper
  • HBASE Integration with HIVE and PIG
  • Phoenix
  • Proof of concept (POC)
Module 16: SPARK
  • Spark Overview
  • Linking with Spark, Initializing Spark
  • Using the Shell
  • Resilient Distributed Datasets (RDDs)
  • Parallelized Collections
  • External Datasets
  • RDD Operations
  • Basics, Passing Functions to Spark
  • Working with Key-Value Pairs
  • Transformations
  • Actions
  • RDD Persistence
  • Which Storage Level to Choose?
  • Removing Data
  • Shared Variables
  • Broadcast Variables
  • Accumulators
  • Deploying to a Cluster
  • Unit Testing
  • Migrating from pre-1.0 Versions of Spark
  • Where to Go from Here
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Hands-on Real Time Hadoop Projects

Project 1
Customer churn analysis –Telecom Industry

The project involves tracking consumer complaints registered on various Platforms.

Project 2
UBER Projects

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

Our Top Hiring Partner for Placements

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

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

Get 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.

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 Hadoop Trainer

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

Hadoop Course Reviews

Our ACTE Ahmedabad 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.

Mahalakshmi

Studying

"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"

Delielah

Software Engineer

I joined the Hadoop batch. I was a fresher just completed my BE. Faculty Naveen has good knowledge on the subject & he knows how to explain the concepts to freshers. Now I am really good enough in all Hadoop module in ACTE. He focus more on Hadoop advance features in ACTE, Ahmedabad

Harish

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.

Sindhuja

Studying

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.

Kaviya

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
    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 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 ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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