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Hadoop Developer Training

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Rated #1 Recognized as the No.1 Institute for Hadoop Developer Training

ACTE Institute provides comprehensive Hadoop Developer Training to equip learners with the expertise needed to develop, manage, and analyze large data sets using the Hadoop ecosystem.

This Hadoop course dives into Hadoop’s architecture, HDFS, and MapReduce programming, giving you the technical foundation required for a successful career in big data development. You will get hands-on experience with popular tools in use, such as Hive, Pig, HBase, and Spark.

  • Hands-on Experience With Tools Like Hive, Pig, Hbase, and Spark.
  • Insights Into Hadoop Deployment, Management, and Troubleshooting.
  • Guidance From Certified Hadoop Professionals With Industry Expertise.
  • Lifetime Access to Learning Materials, Recorded Sessions, and Resources.
  • In-depth Hadoop Training on Architecture, Hdfs, and Mapreduce Programming.
  • Real-world Projects to Implement Big Data Solutions and Optimize Performance.

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Fee INR 18000

INR 14000

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  • Case Studies and Projects 8+

  • Hours of Training 45+

  • Placement Assurance 100%

  • Expert Support 24/7

  • Support & Access Lifetime

  • Certification Yes

  • Skill Level All

  • Language All

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 Big Data Hadoop Certification and advanced concepts, but also gain exposure to Industry best practices
  • Experienced Trainers and Lab Facility
  • Big Data 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, Big Data 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
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(Class 1Hr - 1:30Hrs) / Per Session

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    Hear it from our Graduate

    About Big Data Hadoop Developer Certification Online Training Course

    ACTE leading with a team of highly skilled and experienced experts.Our online Training sessions are aimed at preparing you to pass your certification exam.We provide you with powerful tools for training including drill sessions, certified course curriculum, practice exams, labs, exercises and real life challenges that will help you in practicing, remembering and applying the knowledge you learn in all our lessons.

    Benefits

    Hadoop Development course teaches the skill set required for the learners how to setup Hadoop Cluster, how to store Big Data using Hadoop (HDFS) and how to process/analyze the Big Data using Map-Reduce Programming or by using other Hadoop ecosystems. Attend Hadoop Training demo by Real-Time Expert.

    Top Job Offered Big Data Hadoop Online Tools Covered

    • Big Data, HDFS

      YARN, Spark

      MapReduce

    • PIG, HIVE

      HBase

      Mahout, Spark MLLib

    • Solar, Lucene

      Zookeeper

      Oozie

    Big Data 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 Big Data Hadoop and Big Data technologies. Apache Big Data Hadoop provides you with means to ramp up your career and gives you the following advantages: Accelerated career growth.

    Big Data Hadoop is the supermodel of Big Data. If you are a Fresher there is a huge scope if you are skilled in Big Data 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 Big Data Hadoop domain. It is definitely not impossible for anyone to land a job in the Big Data Hadoop domain if they invest their mind in preparing and putting their best effort in learning and understanding the Big Data 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 Big Data 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 Big Data Hadoop Cluster uses Master-Slave architecture. It consist of a Single Master (NameNode) and a Cluster of Slaves (DataNodes) to store and process data. Big 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 Big Data Hadoop Configuration files. Big Data 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 Big Data Hadoop and build an excellent career in Big Data 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 Big Data Hadoop, it is recommended that you at least learn Java basics.
    • Learning Big Data 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 Big Data Hadoopers is- “How much java is required for Big Data Hadoop”? Big Data Hadoop is an open source software built on Java thus making it necessary for every Big Data Hadooper to be well-versed with at least java essentials for Big Data Hadoop. Having knowledge of advanced Java concepts for Big Data Hadoop is a plus but definitely not compulsory to learn Big Data Hadoop. Your search for the question “How much Java is required for Big Data Hadoop?” ends here as this article explains elaborately on java essentials for Big Data Hadoop.

    Apache Big Data 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. ... Big Data Hadoop is Java-based, so it typically requires professionals to learn Java for Big Data Hadoop.

    Yes, you can learn Big Data 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 Big Data Hadoop.

    Our course ware is designed to give a hands-on approach to the students in Big Data 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 Big Data Hadoop will definitely give you a basic understanding about working of other options as well. Moreover, several organizations are using Big Data Hadoop for their workload. So there are lot of opportunities for good developers in this domain. Indeed it is!

    No Learning Big Data Hadoop is not very difficult. Big Data Hadoop is a framework of java. Java is not a compulsory prerequisite for learning Big Data Hadoop. ... Big Data 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.

    Big Data Hadoop framework can be coded in any language, but still, Java is preferred. For Big Data 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 Big Data Hadoop?

    Big Data Hadoop brings in better career opportunities in 2015.

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

    Increased Number of Big Data Hadoop Jobs.

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


    Hadoop Developer Do

    A Hadoop Developer takes care of the coding and programming of Hadoop applications, in the context of Big Data. The position is similar to that of a Software Developer. Other occupations that are commonly associated with Hadoop Developer are Big Data Developer, Hadoop Architect, Hadoop Engineer, Hadoop Lead Developer.

    Hadoop Developer-Job Responsibilities & Skills

    • A Hadoop Developer is responsible for the actual coding or programming of Hadoop applications.
    • This role is similar to that of a Software Developer.
    • The job role is pretty much the same, but the former is a part of the Big Data domain. Let’s look at some of the responsibilities of a Hadoop Developer and gain an understanding of what this job title is all about.

    Career Responsibilities of a Hadoop Developer:

    A Hadoop Developer has many responsibilities. And the job responsibilities are dependent on your domain/sector, where some of them would be applicable and some might not. The following are the tasks a Hadoop Developer is responsible for:

    • Hadoop development and implementation.
    • Loading from disparate data sets.
    • Pre-processing using Hive and Pig.
    • Designing, building, installing, configuring and supporting Hadoop.
    • Translate complex functional and technical requirements into detailed design.
    • Perform analysis of vast data stores and uncover insights.
    • Maintain security and data privacy.
    • Create scalable and high-performance web services for data tracking.
    • High-speed querying.
    • Managing and deploying HBase.
    • Being a part of a POC effort to help build new Hadoop clusters.
    • Test prototypes and oversee handover to operational teams.
    • Propose best practices/standards.

    Hadoop is a rewarding and lucrative career with plenty of growth opportunities. If the job responsibilities listed above interest you,

    What Skills Does a Good Hadoop Developer Need?

    A good Hadoop Developer has a particular set of skills at their disposal, though businesses and organizations may place greater or lesser emphasis on any of the below-mentioned skills. Here is a list of skills that Hadoop Developers should know. But you don’t have to be a master in EVERY single one of them!

    • Mandatory Knowledge of Hadoop and its appropriate components (e.g., HBase, Pig, Hive, Sqoop, Flume, Oozie, etc.)
    • A good understanding of back-end programming, with an emphasis on Java, JS, Node.js, and OOAD
    • A talent for writing code that is high-performing, reliable, and maintainable
    • The ability to write MapReduce jobs and Pig Latin scripts
    • Exhibit strong working knowledge of SQL, database structures, theories, principles, and practices.
    • Should have working experience in HiveQL.
    • Possess excellent analytical and problem-solving skills, especially in the context of the Big Data domain.
    • Have a useful aptitude in the concepts of multi-threading and concurrency.
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    Key Features

    ACTE offers Big Data 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 .

     

    Curriculum

    Syllabus of Big Data Hadoop Developer Certification Online Training Course
    Module 1: Introduction to Big Data 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 Big Data Hadoop
    • Big Data Hadoop Distributed File System
    • Comparing Big Data Hadoop & SQL
    • Industries using Big Data Hadoop
    • Data Locality
    • Big Data Hadoop Architecture
    • Map Reduce & HDFS
    • Using the Big Data Hadoop single node image (Clone)
    Module 4: Big Data Hadoop Distributed File System (HDFS)
    • HDFS Design & Concepts
    • Blocks, Name nodes and Data nodes
    • HDFS High-Availability and HDFS Federation
    • Big Data 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 Big Data 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 Big Data Hadoop Configuration API discussion
    • Emulating “grep” for searching inside a file in Big Data Hadoop
    • DBInput Format
    • Job Dependency API discussion
    • Input Format API discussion,Split API discussion
    • Custom Data type creation in Big Data Hadoop
    Module 7: NOSQL
    • ACID in RDBMS and BASE in NoSQL
    • CAP Theorem and Types of Consistency
    • Types of NoSQL Databases in detail
    • Columnar Databases in Detail (HBASE and CASSANDRA)
    • TTL, Bloom Filters and Compensation
    <strongclass="streight-line-text"> Module 8: HBase
    • HBase Installation, Concepts
    • HBase Data Model and Comparison between RDBMS and NOSQL
    • Master & Region Servers
    • HBase Operations (DDL and DML) through Shell and Programming and HBase Architecture
    • Catalog Tables
    • Block Cache and sharding
    • SPLITS
    • DATA Modeling (Sequential, Salted, Promoted and Random Keys)
    • Java API’s and Rest Interface
    • Client Side Buffering and Process 1 million records using Client side Buffering
    • HBase Counters
    • Enabling Replication and HBase RAW Scans
    • HBase Filters
    • Bulk Loading and Co processors (Endpoints and Observers with programs)
    • Real world use case consisting of HDFS,MR and HBASE
    Module 9: Hive
    • Hive Installation, Introduction and Architecture
    • Hive Services, Hive Shell, Hive Server and Hive Web Interface (HWI)
    • Meta store, Hive QL
    • OLTP vs. OLAP
    • Working with Tables
    • Primitive data types and complex data types
    • Working with Partitions
    • User Defined Functions
    • Hive Bucketed Tables and Sampling
    • External partitioned tables, Map the data to the partition in the table, Writing the output of one query to another table, Multiple inserts
    • Dynamic Partition
    • Differences between ORDER BY, DISTRIBUTE BY and SORT BY
    • Bucketing and Sorted Bucketing with Dynamic partition
    • RC File
    • INDEXES and VIEWS
    • MAPSIDE JOINS
    • Compression on hive tables and Migrating Hive tables
    • Dynamic substation of Hive and Different ways of running Hive
    • How to enable Update in HIVE
    • Log Analysis on Hive
    • Access HBASE tables using Hive
    • Hands on Exercises
    Module 10: Pig
    • Pig Installation
    • Execution Types
    • Grunt Shell
    • Pig Latin
    • Data Processing
    • Schema on read
    • Primitive data types and complex data types
    • Tuple schema, BAG Schema and MAP Schema
    • Loading and Storing
    • Filtering, Grouping and Joining
    • Debugging commands (Illustrate and Explain)
    • Validations,Type casting in PIG
    • Working with Functions
    • User Defined Functions
    • Types of JOINS in pig and Replicated Join in detail
    • SPLITS and Multiquery execution
    • Error Handling, FLATTEN and ORDER BY
    • Parameter Substitution
    • Nested For Each
    • User Defined Functions, Dynamic Invokers and Macros
    • How to access HBASE using PIG, Load and Write JSON DATA using PIG
    • Piggy Bank
    • Hands on Exercises
    Module 11: SQOOP
    • Sqoop Installation
    • Import Data.(Full table, Only Subset, Target Directory, protecting Password, file format other than CSV, Compressing, Control Parallelism, All tables Import)
    • Incremental Import(Import only New data, Last Imported data, storing Password in Metastore, Sharing Metastore between Sqoop Clients)
    • Free Form Query Import
    • Export data to RDBMS,HIVE and HBASE
    • Hands on Exercises
    Module 12: HCatalog
    • HCatalog Installation
    • Introduction to HCatalog
    • About Hcatalog with PIG,HIVE and MR
    • Hands on Exercises
    Module 13: Flume
    • Flume Installation
    • Introduction to Flume
    • Flume Agents: Sources, Channels and Sinks
    • Log User information using Java program in to HDFS using LOG4J and Avro Source, Tail Source
    • Log User information using Java program in to HBASE using LOG4J and Avro Source, Tail Source
    • Flume Commands
    • Use case of Flume: Flume the data from twitter in to HDFS and HBASE. Do some analysis using HIVE and PIG
    Module 14: More Ecosystems
    • HUE.(Hortonworks and Cloudera)
    Module 15: Oozie
    • Workflow (Action, Start, Action, End, Kill, Join and Fork), Schedulers, Coordinators and Bundles.,to show how to schedule Sqoop Job, Hive, MR and PIG
    • Real world Use case which will find the top websites used by users of certain ages and will be scheduled to run for every one hour
    • Zoo Keeper
    • HBASE Integration with HIVE and PIG
    • Phoenix
    • Proof of concept (POC)
    Module 16: SPARK
    • Spark Overview
    • Linking with Spark, Initializing Spark
    • Using the Shell
    • Resilient Distributed Datasets (RDDs)
    • Parallelized Collections
    • External Datasets
    • RDD Operations
    • Basics, Passing Functions to Spark
    • Working with Key-Value Pairs
    • Transformations
    • Actions
    • RDD Persistence
    • Which Storage Level to Choose?
    • Removing Data
    • Shared Variables
    • Broadcast Variables
    • Accumulators
    • Deploying to a Cluster
    • Unit Testing
    • Migrating from pre-1.0 Versions of Spark
    • Where to Go from Here
    Show More
    Show Less
    Need customized curriculum?

    Hands-on Real Time Big Data Hadoop Projects

    Project 1
    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 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% Big Data Hadoop training course content, we will arrange the interview calls to students & prepare them to F2F interaction
    • Big Data 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 Big Data 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 Big Data Hadoop Trainer

    • Our Big Data Hadoop Training . 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 Big Data 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 Big Data Hadoop training to the students.
    • We have received various prestigious awards for Big Data Hadoop Training from recognized IT organizations.

    Big Data Hadoop Course FAQs

    Looking for better Discount Price?

    Call now: +91-7669 100 251 and know the exciting offers available for you!
    • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
    • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
    • More than 3500+ students placed in last year in India & Globally
    • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
    • 85% percent placement record
    • Our Placement Cell support you till you get placed in better MNC
    • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
      ACTE Gives Certificate For Completing A Course
    • Certification is Accredited by all major Global Companies
    • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS
    • The entire Big Data 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 Big Data Hadoop Course At ACTE?

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

          Job Opportunities in Hadoop Developer

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

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          Hadoop Developer
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          Salary in Hadoop

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