420+ Hadoop Training in Mumbai

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    Hadoop Training in Mumbai as on Apr 26, 2018

    1. Sun Infosystems, Thane West

      9 Reviews 4.9 Sulekha Score
      +91 22 33854557
      Hadoop Training, Big data & Hadoop training

      No. 303, Sameer Arcad, Station Road, Jamli Naka, Thane West, Mumbai - 400601 Get Directions

    2. IIHT Ltd, Thane West

      102 Reviews 5.9 Sulekha Score
      +91 22 33292459
      Hadoop Training, Business intelligence & analytics training

      Siddharth Tower ,IIHT, Room No. 210-211, 3rd Floor, Station Road, Thane West, Mumbai - 400601 Get Directions

    3. Net Tech India, Thane

      49 Reviews 4.6 Sulekha Score
      +91 22 33486971
      Hadoop Training, Informatica training

      Ratnamani Building ,No. 203, Dada Patil Wadi, Thane, Mumbai - 400601 Get Directions

    4. +91 22 61094401
      Hadoop Training, Business intelligence & analytics training

      Shop No. 103, 1st Floor, Shiv Shakti Society, Anna Nagar, New Link Road, Andheri West, Mumbai - 400058 Get Directions

    5. High Technologies Solutions, Andheri East

      54 Reviews 4.8 Sulekha Score
      +91 22 33486304
      Hadoop Training, Business intelligence & analytics training

      Ground Floor, Pinky Cinema Building, New Nagardas Road, Andheri East, Mumbai - 400069 Get Directions

    6. RV Technology, Vashi

      3 Reviews 4.7 Sulekha Score
      +91 22 49433884
      Hadoop Training, Big data & Hadoop training

      Aditi Apartment ,F-1/ C-3 ,Sector 9, Sector 9, Vashi, Mumbai - 400703 Get Directions

    7. +91 22 33486847
      Hadoop Training, Informatica training

      Sai Arcade, B Wing, 2nd Floor, 213-216, Polt No.184, Panvel Bus Depot, Panvel, Mumbai - 410206

    8. Sun Infosystems, Chembur

      4 Reviews 4.7 Sulekha Score
      +91 22 33292892
      Hadoop Training, Big data & Hadoop training

      No. 201, 2nd Floor, Bhairav Krupa Building, Chembur Station Road, Chembur East, Chembur, Mumbai - 400071

    9. IIHT Vashi, Vashi

      6.1 Sulekha Score
      +91 22 49471540
      Hadoop Training, Big data & Hadoop training

      F-190, 1st Floor, Sector 30A, Havare Fantasia Bussiness Park, Vashi, Mumbai - 400703

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    10 Reviews of Hadoop Training in Mumbai as on Apr 26, 2018

    Average Rating (4) - 14 reviews
    1. 19th February, 2018

      Pro's- Before I entered this program with Petaa Bytes .I had enquired a lot with other institute and online training sites as well. The course structure was far more better than any other institute. Faculty is really good and focuses on every minute detail and problem you will be facing during the course. The set up will be done on to your personal laptops so that you can practice anytime without the fear of any expiry date that other institute offer in the name of cloud. Con's - If you are expecting any live project to be done then it is not the place you should be looking for. Having said that I am not sure how much other institute consider doing project on this technology since it requires a really costly set up. Another important aspect ,if you are reading my review pls consider having a good configurable laptop (at least 8gb ram)before you get involved with this program

      0
    2. 12th February, 2018

      very helpful , this place will get you a step closer to your dreams.

      0
    3. 18th January, 2018

      Good experience got calls from various institutes

      0
    4. 16th December, 2017

      I joined this institute For my Big data training. I paid the course fee 28000. The course duration was 2 months. It's weekend classes. I am not satisfied with their coaching. Because they did not provide global certification and moreover the proper trainer was not provided for the coaching.

      5
    5. 8th December, 2017

      Today only I have finished my Java Course at Petaa Bytes. Here is my reviews: Course Structure - 4 Quality of Exercise - 5 Subject knowledge /Conceptual clarity - 5 Rate the trainers training skill and competence - 5 Presentation Methodolgy -5 Guidence and Support -5 What did you like best about the course/contents ? Teaching, techniques to solve the programmes , how to implement program, examples given were practical,concepts taught in very detail. Ideas,shotcuts and tricks to solve the programs What could have been done better ? Though for every topic there was some assignment but it will be great if you add some more examples. Do you think this training would help you in your job interview ? : Definitely to a large extent Do you recommend this training to your colleagues/ friends : Definitely

      0
    6. 5th December, 2017

      All concepts were explained clearly with explanation and break downs provided as when needed! Thank you Shrikant Sir!!!

      0
    7. 16th November, 2017

      Doing Big data training through this institute, with this course providing all type training like Hadoop, spark training.they provide me weekend class with the 80 hours of complete classes, the fees are reasonable for the complete course.here faculties are experienced, well qualified.overall, I am happy to join this institute

      1
    8. 16th November, 2017

      Learning about Hadoop Spark training through this institute, they provide me weekend class with the 80 hours of complete classes.overall, the fees were nominal for the complete course.here faculties are experienced, well qualified.overall,I am happy to join this institute

      1
    9. 13th November, 2017

      I have done Big Data training in Petaa Bytes institute. After several research with several Training Institutes I ended up with Petabytes. My mentor (Shrikant Sir) was so helpful in replying, solving the issues and Explanations, all are clean, clear, easy to understand. He is highly professional & knowledgeable and I would like to recommend the same for anyone seeking to expand their skill sets.

      0
    10. 10th November, 2017

      Shrikant sir have excellent domaim knowledge. He explains in such a simple language that you will remember the concept once you hear.

      0
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    • Hadoop Training FAQ

      • What you will learn In This Course?

        The objective of this course are as follows:

        • Learning how to install a Hadoop cluster from scratch
        • Understanding all the key concepts for Big Data and Hadoop
        • A broad understanding of all MapReduce concepts
        • Understanding how to write programs in MapReduce
        • Understanding how Hadoop Works
        • Being able to work around the complex architecture of Hadoop
        • Being able to use Hive and Pig
        • Being able to design a data pipeline with the help of Pig and Hive
      • What are the pre-requisites?

        There aren't any specific pre-requisites for learning Hadoop but a candidate with basic knowledge in Java, UNIX and SQL will have a head start. Students should also be familiar with loops, variable and objects.

      • What is the course duration of Hadoop training?

        The course duration for this training course will vary depending upon the requirements of the candidate. Most institutes create courses which are tailor made to suit the needs of everyone.

        • Weekday Training4 Weeks (1.5 hours/class)
        • Weekend Training6 Weekends (2.5 hours/class)
        • Fast track training 1 week (5 hours/class)

      Hadoop Course Contents

      Introduction to Big Data

      • Big Data Overview
      • Hadoop vs traditional systems
      • Types of Data
      • Attributes used in Big Data
      • Limitations of existing data analytics

      Hadoop Ecosystem

      • Hadoop Ecosystem overview
      • Hadoop features
      • Hadoop storage
      • HDFS
      • MapReduce Framework
      • Hadoop processing
      • Existing data analytics architecture

      Configuration and installation of Hadoop

      • Installing Hadoop
      • Commands used in Hadoop
      • Configuration Files
      • Hadoop Jars
      • Cloudera
      • VM version installation

       Hadoop Architecture

      • Production of Hadoop clusters
      • Hadoop cluster modes
      • Hadoop shell commands
      • Flume
      • SQOOP
      • Data Loading Techniques
      • Hadoop 2.x configuration files
      • SSH
      • MapReduce Job Execution

      MapReduce Framework

      • Use Cases
      • Traditional vs MapReduce methods
      • MapReduce Architecture
      • Anatomy of MapReduce
      • MapReduce Components
      • YARN workflow
      • Application Execution flow
      • Mappers in Java
      • Reducers in Java
      • Input Splits
      • HDFS blocks
      • Job Submission flow
      • Eclipse
      • Combiner and partitioner

      Advanced MapReduce

      • Counters
      • MRunit
      • Distributed Cache
      • Sequence Input format
      • Custom Input format

      Hive

      • Hive use case
      • About Hive
      • Hive vs Pig
      • Metastore in Hive
      • Hive Limitations
      • Hive and RDBMS differences
      • Hive DDL
      • Hive Data Type
      • Data Models
      • Partitions
      • Buckets
      • Hive Tables
      • Importing and Querying Data
      • Hive UDF
      • Hive Script

      Pig

      • Introduction to Pig
      • MapReduce Vs Pig
      • Pig Architecture
      • Use Cases
      • Programming structure in Pig
      • Shell components
      • Running Models
      • Execution
      • Latin Program
      • Data Models in Pig
      • Jars Import
      • Limitations of PIG
      • Pig UDF
      • Relational operators
      • File Loaders
      • Group Operator
      • Diagnostic Operators

      Advanced Hive and HBase

      • HBase
      • HBase Architecture
      • Components
      • Storage Model
      • HBase
      • Mongo DB
      • CRUD
      • HiveQL
      • HBase
      • Thrift Server
      • Dynamic Partitioning
      • HBase vs RDBMS
      • NoSQL Database
      • HBase Cluster Deployment

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