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Hadoop Training in Bangalore Course Description

Hi, I want to learn Hadoop training in Bangalore. So can you please help me with the Hadoop course fees details?

Hi, Welcome to TIB Academy. We are one of the best Hadoop training institutes in Bangalore. We can certainly offer you high-quality training at an affordable cost.

May I know your current profile, so I can get to understand you a bit and assist you in the right way.

Actually, I’m a Junior Java developer having 1.5 years of experience. Now, I’m looking for the best Hadoop training in Bangalore as it is a trending technology.

That’s great.

Hadoop is one of the booming and innovative data analytics technology which can effectively handle Big Data problems and achieve the data security. It is an open source and trending technology which involves in data collection, data processing and data analytics using HDFS (Hadoop Distributed File System) and MapReduce algorithms. It collects massive unstructured data from multiple sources and converting those raw data into user preferable format. There is a high demand  for knowledgeable Hadoop developers in the current IT market.

Oh, that’s nice to know. Is there any prerequisite to learn Hadoop Course?

To learn Hadoop, you need to have knowledge of Java and Linux.

If you are already familiar with the above-mentioned concepts, then this course will be quite easy for you to learn and grasp the concepts quickly. Otherwise, we are here to help you with the basics.

Along with this course, we can also cover Java Training in Bangalore and Linux Training in Bangalore.

Great! What do you cover in the Hadoop course in Bangalore?

Our Hadoop course syllabus is designed by highly experienced professionals. Some of the key concepts that will be covered are Hadoop installation, MapReduce algorithms, MongoDB, HDFS, Flume, Zookeeper, SQOOP and lot more. Please check below for a detailed syllabus.

What sort of trainers do you have? Are they full-time Hadoop trainers with you?

No, Absolutely not! All our trainers are industrial experts, working in MNCs and top Corporates. They are highly qualified and have years of experience in handling real-time issues in the IT environment. They will guide you, coach you and train you to become a seasoned web developer.

That’s really good, can I expect any project and placement support from your end?

Our Hadoop training in Bangalore can surely help you from basics until creating a real-time application. The entire course will be equipped with regular hands-on and live project. Our trainers are dealing with real-time scenarios in their workplace. So you can gain the complete project guidance from our industry experts as per your requirements.

We are providing the best Hadoop training in Marathahalli to help our students with best placement assistance. Our project support and interview preparation sessions throughout the course and at the end of the session will boost your confidence and our connections to the job world will help you achieve the job you wish, provided you put your sincere efforts and grab the opportunities.

OK great! What are the Hadoop class timings?

We can train to students’ convenience by taking both classroom training and Hadoop online training in Bangalore. Our training schedule will be during early mornings, late evenings and weekends, as trainers are not available during working weekday hours.

We are operating from Marathahalli providing the best Hadoop course in Bangalore with placement support.

Hadoop Training in Bangalore Duration

Regular Classes (Morning, Day time & Evening)

Duration: 40 – 45 hrs.

Weekend Training Classes (Saturday, Sunday & Holidays)

Duration: 5 weeks

Fast Track Training Program (5+ hours daily)

Duration: within 20 days.

Hadoop Training in Bangalore Features

  • Backup Hadoop Classes
  • Experienced Hadoop Trainers
  • Hadoop Online Training
  • Hadoop Classroom Training
  • Hadoop Corporate Training
  • Affordable Hadoop Training Cost
  • Hadoop Course Completion Certification
  • Personality Development Training
  • Hands-on Training
  • Resume Preparation
  • Career Counselling
  • Placement Assistance
  • Live Project Support
  • Free Wi-Fi
  • Free Parking Facility

Hadoop Training in Bangalore Support

+91 9513332301

+91 9513332302

+91 9513332303

Hadoop Placement Training in Bangalore

  • More than 5000+ students Trained
  • 95% percent Placement Record
  • 2000+ Interviews Organized

Hadoop Training Locations in Bangalore

Our Hadoop Training Centers

  • Marathahalli Center
  • Kundalahalli Cenetr
  • BTM Center
  • Jayanagar Center
  • JP Nagar Center
  • Indira Nagar Center
  • White filed Center
  • Rajaji Nagar Cenetr
  • K R Puram Center
classroom training in bangalore
online training in bangalore

Hadoop Training in Bangalore Syllabus

Session 1 : Introduction to Big Data

  • Importance of Data ESG Report on Analytics
  • Big Data & It’s Hype
  • What is Big Data?
  • Structured vs Unstructured data Definition of Big Data
  • Big Data Users & Scenarios Challenges of Big Data
  • Why Distributed Processing?

Session 2 : Hadoop

  • History Of Hadoop
  • Hadoop Ecosystem Hadoop Animal Planet
  • When to use & when not to use Hadoop What is Hadoop?
  • Key Distinctions of Hadoop Hadoop Components/Architecture Understanding Storage Components
  • Understanding Processing Components Anatomy Of a File Write
  • Anatomy of a File Read

Session 3 : Understanding Hadoop Cluster

  • Handout discussion
  • Walkthrough of CDH setup
  • Hadoop Cluster Modes
  • Hadoop Configuration files
  • Understanding Hadoop Cluster
  • configuration Data Ingestion to HDFS

Session 4 : MapReduce

  • Meet MapReduce
  • Word Count Algorithm – Traditional approach
  • Traditional approach on a Distributed system
  • Traditional approach – Drawbacks
  • MapReduce approach
  • Input & Output Forms of a MR program Map
  • Shuffle & Sort
  • Reduce Phases Workflow & Transformation of Data Word Count Code walkthrough

Session 5 : Mapreduce

  • Input Split & HDFS Block
  • Relation between Split & Block MR Flow
  • with Single Reduce Task MR flow
  • with multiple Reducers Data
  • locality Optimization Speculative
  • Execution

Session 6 : Advanced MapReduce

  • Combiner
  • Partitioner
  • Counters
  • Hadoop Data Types
  • Custom Data Types
  • Input Format & Hierarchy Output Format & Hierarchy
  • Side Data distribution – Distributed cache

Session 7 : Advanced MapReduce

  • Joins
  • Map side Join using Distributed cache Reduce side Join
  • MR Unit – An Unit testing framework

Session 8 : Mockup Interview Session

Session 9 : Pig

  • What is Pig? Why Pig? Pig vs Sql
  • Execution Types or Modes Running Pig
  • Pig Data types
  • Pig Latin relational Operators Multi Query execution
  • Pig Latin Diagnostic Operators

Session 10 : Pig

  • Pig Latin Macro & UDF statements Pig Latin Commands
  • Pig Latin Expressions Schemas
  • Pig Functions
  • Pig Latin File Loaders
  • Pig UDF & executing a Pig UDF

Session 11 : Hive

  • Introduction to Hive Pig Vs Hive
  • Hive Limitations & Possibilities Hive Architecture
  • Metastore
  • Hive Data Organization Hive QL
  • Sql vs Hive QL Hive Data types Data Storage
  • Managed & External Tables

Session 12 : Hive

  • Partitions & Buckets
  • Storage Formats
  • Built-in Serdes
  • Importing Data
  • Alter & Drop Commands
  • Data Querying

Session 13 : Hive

  • Using MR Scripts
  • Hive Joins
  • Sub Queries
  • Views
  • UDFs

Session 13 : Resume Preparation

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