Learn from Experts, Apply Skills on Projects & Master with Certification

  •   100% Placement Support After course on Hadoop Spark and Scala
  •   Work on real-life industry Big Data Projects which can be showcased to future recruiters
  •   Highly Expertise Instructors over 10+ Years Industry Experience
  •   Well Equipped Class Rooms and Lab Facility to Practice
  •   Learn Big Data Hadoop and Get Certified & Bag one of the highest paying IT jobs in current Market.
  •   Resume & Interviews Preparation Support
  •   Become CCP Data Engineer Certified Professional

Best Hadoop Tools Covered

Hadoop Developer      HADOOP ADMINISTRATOR      Scoop      Spark & Scala   Apache Hbase     Flume     Talend     Amazon Web Services    HDFS ARCHITECTURE     MapReduce     PIG & Oozie  Cassandra    JAVA Essentials     Mysql Database 

Interested in this BigData Hadoop Course?

Training Methodology

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YOU GOT THE JOB!

No Boring Lectures, No Theoretical Learning

PURE PRACTICAL CLASSES

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    100% Placement Program

    • Guaranteed Job Assistance: We will be sending you for interviews till you get Hired.
    • Faculty will make your Resume Ready as per industry Standards.
    • We provide Question and Answers which are asked in interviews
    • We Conduct 2 Mock Exams
    • Mock Interviews to boost your confidence
    • Pre-Requisite: Any one can learn BigData Hadoop and Get Job
    • Projects: You work on Real Life Case Studies
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    Course Duration

    • 2 - 3 Months Practical Classes
    • Master Projects to Practice in Labs
    • In Class, You Get In-Depth Hadoop Knowledge on each Topic
    • Weekdays Classes
    • Weekends Saturday and Sunday Classes
    • Location: Courses are run in our Bangalore training centres (BTM Layout, Marathahalli, Jayanagar and Rajaji Nagar)
    • Can be on-site at client locations (Corporate Training)
    • Online Big Data Hadoop Courses
    • Pay only after FREE DEMO CLASS
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    Hadoop Industry Projects to Practice

    Project 1: Customer churn analysis –Telecom Industry

    The project involves tracking consumer complaints registered on various Platforms. Data volumes range in Gigabytes thereby making it challenging for regular analytics Platform. Real Time use cases and Data sets covered (10+ Real Time datasets)

    Project 2: Retail Project:

    The purpose of the project is to store and analyse the online information acquired from various Stores, online Website and Social media domains. Information generated is stored in Hive data warehouse using SPARK and Kafka. This information recorded is then translated into reports/ extraction used by the Business. Word count, Sensors (Weather Sensors) Dataset, Social Media data sets like YouTube, Twitter data analysis

    Project 3:Defective Units Analysis

    The purpose of this project was to help BI teams, Stakeholders from different Business Units understand or find probable causes of defective units by analysing vast data from various sources like manufacturing locations, shipping companies used, Warehouses and Resellers. Vast data was moved from RDMS to HDFS with schema, using SQOOP and also live data from resellers for defective returns using Flume. The data stored in HDFS is stored in HVIE tables and queried using HQL.

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    Main Big Data & Hadoop Topics Covered

    • Hadoop Developer, Administrator & Data Analytics
    • BigData Introduction and Hadoop Fundamentals
    • MapReduce, HDFS, Hive
    • Word count, Sensors(Weather Sensors)Dataset, Social Media data sets like YouTube, Twitter data analysis,
    • Hadoop, Hive, Sqoop, Flume Installations –Pseudo Mode
    • Sqoop, HBase, Pig
    • Scala, Apache Spark & Oozie
    • How Hadoop MR/Spark used in DW
    • Java Essentials and Unix Basics
    • Real-time Data Warehouse migration
    • RDBMS & ETL tool concepts
    • Integration with Reporting tools
    • BigData Hadoop Testing Course
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Learn from Industry Leaders: Know About your Trainer

SR. DATA ENGINEER

  • 10 years of strong IT experience with 5 Years in Hadoop.
  • Hands on expertise on Big Data & Analytics.
  • Constantly learning and leveraging emerging technologies.
  • Conducted trainings for Students and Corporates.
  • Excellent communication skills, understanding the audience and delivering customized content to suit the need.
  • Experience professional and result oriented instructional technical trainer.
  • Proven ability to plan and execute programs on time and within budget.
  • Knowledge of "best practices" and current research in the use of technology to enhance teaching and learning.
  • Trained over 10000+ professionals in Big Data & Hadoop.

Over 13791+ professionals trained, Listen to What Our Awesome Trainees Say About Us?

Have a Look at Our ClassRooms, Lab, Placement Cell & Other Facilities

Recent Placed Students

STUDENT REVIEWS : 4.9/5 Ratings Given by Trainees