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    Hadoop Training in Hyderabad as on Apr 24, 2018

    1. +91 75690 02209
      Hadoop Training, Business intelligence & analytics training

      1st Floor, Madhura Nagar Colony, Khajaguda, Rai Durg, Gachibowli, Hyderabad - 500032 Get Directions

    2. +91 75690 03753
      Hadoop Training, Business intelligence & analytics training

      Croma Store Building ,4th Floor, Nagarjuna Ikon, Kondapur X Road, Kondapur, Hyderabad - 500084

    3. +91 75690 02308
      Hadoop Training, Big data & Hadoop training

      Ramakrishana Building ,2nd Cross, Ameerpet, Hyderabad - 500016 Get Directions

    4. +91 75 69006805
      Hadoop Training, Big data & Hadoop training

      Flat No. 101, B -Block, Balaji Towers, Ameerpet, Hyderabad - 500038

    5. Tvashtaa Data Solutions, Narayanaguda

      6 Reviews 7.3 Sulekha Score
      +91 75690 10411
      Hadoop Training, Business intelligence & analytics training

      No. 3-5-1094/15/2/E, 3rd Floor, Narayanaguda, Hyderabad - 500029 Get Directions

    6. RGS IT Solutions, Ameerpet

      60 Reviews 4.8 Sulekha Score
      +91 76708 24158
      Hadoop Training, Big data & Hadoop training

      Reliance Global House ,Plot No. 26, Durga Nagar Colony, Ameerpet, Hyderabad - 500016 Get Directions

    7. +91 75 69003960
      Hadoop Training, Informatica training

      No. 401, Kasturi Plaza, Dwaraka Nagar Colony, Gachibowli Road, Shaikpet, Gachibowli, Hyderabad - 500008

    8. +91 75 69006560
      Hadoop Training, SAS training

      House No. 15-31/B/LIG/67/A/NS, Sri Sai Arcad, Dharma Reddy Colony, Phase-1, Kukatpally, Hyderabad - 500072

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    10 Reviews of Hadoop Training in Hyderabad as on Apr 24, 2018

    Average Rating (4) - 24 reviews
    1. 13th April, 2018

      Fake trainer,Fake institute they cheated me I lost my money please don?t join Talend training in this institute beware

      1
    2. 31st March, 2018

      "Interested in Ansible Training, so I have joined in Kelly Technologies Institute, the fees amount was nominal..the faculty was really good, they were always available to clear all doubt of the students, it gains knowledge to me.I hope the strength of the class is too much other than everything was fine with the Institute. "

      0
    3. 17th March, 2018

      Glad to share my experience about this institute, for my Big data & Hadoop coaching. I was joined in this institute. I paid total 20000 for Coaching fees, and course duration was 3 months & I'm attending weekend classes. They explained me regarding this course and the benefits. The method of teaching was very nice, Easy to understand and the atmosphere was also excellent. they provide the best experience facilities. I'm glad to join in this institute.

      0
    4. 15th March, 2018

      Selected this Institute to do Hadoop Administration Training.They are providing good coaching.Class timings are convenient for me, I am really gratified with this institute..the course duration is 40 days where I am attending daily classes and the fee paid was nominal only.

      0
    5. 2nd March, 2018

      The very good place to upgrade your skills. if you are looking in IT field but you don't have enough skills, don't worry this institute will take care of it. very friendly faculty and faculty has very good knowledge of the subject of what they are teaching.so I joined big data and Hadoop training in this institute with 45 days course duration of a regular session where 15000 was paid as the fee for the course.Good Faculties, Flexibility with working professionals and Commitment. Excellent place to learn new Technologies.

      0
    6. 10th February, 2018

      Glad to share my experience with this institute, for my Big data & Hadoop coaching. I was Joined in this institute for Hadoop training. I paid total 15000 for Coaching fees, and course duration was 2 months & I'm attending daily classes. They explained me regarding this course and the benefits.The method of teaching was very nice, Easy to understand and the atmosphere was also good. I'm glad to join this institute.

      0
    7. 8th February, 2018

      Best institute for Devops with real time scenarios

      0
    8. 7th February, 2018

      Few points which impressed me a lot during my training with Ravi 1) Depth of knowledge on the subject 2) explains very complex topic in simple way. 3)very much punctual 4) clarify the doubts properly 5) shared a lot of study materials for easy understanding n preparation

      0
    9. 25th January, 2018

      Searching for the best institute to join Big data & Hadoop training and I visit and attend the demo class from this Institute. They are very good and experienced and the faculties are friendly. The fee structure was also very affordable, they are charging 15000. But I have paid the initial amount 1000 only. The classes are already started and going well. I am satisfied with their coaching they provided. I am glad to join this institute.

      1
    10. 3rd January, 2018

      As I was joined in this technologies for Big data & Hadoop training. The coaching was quite good, I am taking the classes every day, The tutor's teachings were also quite good, The environment is also nice, I am paid 6000 fees for this Hadoop training, And this course duration was two months, I am glad to join in this institute.

      1
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    Recent Enquiries on Data Science & Business Analytics Training

    • Technology: Hadoop
    • Mode of training: Classroom
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    • Timing preferences: Weekdays (Evening)
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    • Technology: Hadoop Administration
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    Recent Bookings in Data Science & Business Analytics Training

    • Technology: Hadoop
    • Mode of training: Classroom
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    40 days ago
    • Technology: Hadoop Administration
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    • Training for: Organisation
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    40 days ago
    • Hadoop Training: Course Pre-requisites, Objectives, Duration, and Syllabus

      Hadoop is a framework based on Java programming language, capable of managing and processing huge sets of data. In terms of its utility, Hadoop helps organisations make interpretations and draw insights from structured, semi-structured and unstructured data.

      Now, from one's career standpoint, you might well be thrilled to know that organisations are in need of Hadoop professionals who can help them manage data and make business decisions as well, by processing the gathered data. And, in this day and age when data sources are aplenty and consequently accumulation of data is also massive, the significance and current demand for Hadoop professionals just cannot be stressed enough.

      If working with data is of interest to you—few aspects are more interesting than managing and analysing data—then there is no reason why you should not consider enrolling yourself into Hadoop training course. Below are the ‘aspects to know’ before you enrol yourself into Hadoop training. Read on!

      Course Pre-requisites

      The fundamental pre-requisites for candidates who want to enrol into Hadoop certification course are:

      • Knowledge about Java will be a major fillip
      • Prior knowledge of Linux, the operating system on which Hadoop runs, will also be advantageous

      Course Objectives

      Hadoop training is aimed at:

      • Giving candidates a proper understanding of big data analytics and data processing
      • Teaching candidates to use Pig and Hive to run queries
      • Teaching them to load data into the HDFS file system

      Course Duration

      90-100 hours is the quintessential duration of Hadoop certification course, with instructor-led training, practical and self-learning completed during the above mentioned period. Training institutes afford their candidates tremendous flexibility in class timings, meaning you can balance your work schedule along with the Hadoop training schedule.

      Course Syllabus

      The Case for Apache Hadoop

      • Brief History of Hadoop
      • Core Hadoop Components
      • Fundamental Concepts

      Hadoop Distributed File System

      • HDFS Features
      • HDFS Design Assumptions
      • Overview of HDFS Architecture
      • Writing and Reading Files
      • Name Node Considerations
      • An Overview of HDFS Security
      • Hands-On Exercise

      MapReduce

      • What Is MapReduce?
      • Features of MapReduce
      • Basic MapReduce Concepts
      • Architectural Overview
      • MapReduce Version 2
      • Failure Recovery
      • Hands-On Exercise

      Overview of the Hadoop Ecosystem

      • What is the Hadoop Ecosystem?
      • Integration Tools
      • Analysis Tools
      • Data Storage and Retrieval Tools

      Planning your Hadoop Cluster

      • General planning Considerations
      • Choosing the Right Hardware
      • Network Considerations
      • Configuring Nodes

      Hadoop Installation

      • Deployment Types
      • Installing Hadoop
      • Using Hadoop Manager for Easy Installation
      • Basic Configuration Parameters
      • Hands-On Exercise

      Advanced Configuration

      • Advanced Parameters
      • Configuring Rack Awareness
      • Configuring Federation
      • Configuring High Availability
      • Using Configuration Management Tools

      Hadoop Security

      • Why Is Hadoop Security Important?
      • Hadoop’s Security System Concepts
      • What Kerberos Is and How it Works?
      • Configuring Kerberos Security
      • Integrating a Secure Cluster with Other Systems

      Managing and Scheduling Jobs

      • Managing Running Jobs
      • Hands-On Exercise
      • FIFO Scheduler
      • Fair Scheduler
      • Configuring the Fair Scheduler
      • Hands-On Exercise

      Cluster Maintenance

      • Checking HDFS Status
      • Hands-On Exercise
      • Copying Data between Clusters
      • Adding and Removing Cluster Nodes
      • Rebalancing the Cluster
      • Hands-On Exercise
      • NameNode Metadata Backup
      • Cluster Upgrading

      Cluster Monitoring and Troubleshooting

      • General System Monitoring
      • Managing Hadoop’s Log Files
      • Using the NameNode and JobTracker Web UIs
      • Hands-On Exercise
      • Cluster Monitoring with Ganglia
      • Common Troubleshooting Issues
      • Benchmarking Your Cluster

      Populating HDFS from External Sources

      • An Overview of Flume
      • Hands-On Exercise
      • An Overview of Sqoop
      • Best Practices for Importing Data

      Installing and Managing Other Hadoop Projects

      • Apache Hive
      • Apache Pig
      • Apache HBase

      Hadoop Distributed File System (HDFS)

      • HDFS Design
      • HDFS Daemons
      • HDFS Federation
      • HDFS HA
      • Securing HDFS (Kerberos)
      • File Read and Write Paths

      Closing Thoughts

      Data accumulation and the need to manage huge sets of data are unlikely to diminish, simply because data sources are innumerable and they too are unlikely to come down in the years to come. Data scientists, data analysts, business analysts, and other personnel required to manage data, are in demand already and their stock is likely to go up in the coming years. Therefore, if you are looking for a change in career or are just starting out as a fresher, then big data analytics and Hadoop are areas you can consider entering into. This is a lucrative and one of the more interesting career options.

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