Big Data Hadoop Training in Nagercoil - TutorsBot

Big Data Hadoop Training in Nagercoil

Tutorsbot Offer Big data Hadoop training in nagercoil course library is a framework that uses basic programming concepts to distribute the processing of massive data sets across clusters of machines. It is built to grow from a single server to thousands of machines and is capable of addressing all of the Big Data Technology's complicated data management concerns.Big Data and Hadoop Certification Training from Tutorsbot can help you obtain knowledge in these areas. Let's get your Big Data career started.

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Course Features

40 Hrs Instructor Led Training

3 Industry Projects

20 Hrs Project & Exercise

60 Hrs Applied Learning

Placement Assistance

Flexible Training Schedules

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Course Overview

Big Data Hadoop training in Nagercoil offers a professional Hadoop technology course. Traditional technologies will be unable to meet the expanding data demands, necessitating the development of highly organized and automated technology. Big data and Hadoop are two types of potential data analysis, curation, and management technologies. The goal of the Hadoop and Big Data course is to give students with the information and technical skills they need to become effective Hadoop developers. Along with learning, there is the virtual implementation of the subject's main concepts on real-world applications. Large clusters of data can be broken down into simpler versions for easier access and management using simple programming modules. Tutorsbot is the most qualified provider of Big data Hadoop training in nagercoil.

Why should you learn about Big Data and Hadoop?

Hadoop is a critical component for businesses that deal with large amounts of data in every way. According to Hadoop business experts, 2015 will be the year when firms and people begin to race for organizational scope and career chances. With data increasing as a result of massive digitalization, big data and Hadoop are promising applications that enable smarter data management.

What method will I use to carry out the Practicals?

Tutorsbot's real experience will be valuable and distinct from those of other Big data Hadoop Training in Nagercoil. Our virtual Hadoop program can be installed on your system to provide you with hands-on experience with Hadoop. Learning will be easier with the virtual classroom setup because the software requires minimal system requirements. You can run Hadoop practical lessons on your own system or with our remote training sessions.

 

                                              

                                             

Course Syllabus

Course Introduction

  • Introduction

  • Accessing Practice Lab

Introduction to Big Data and Hadoop

  • Introduction to Big Data

  • Big Data Analytics

  • What is Big Data

  • Four Vs Of Big Data

  • Case Study

  • Challenges of Traditional System

  • Distributed Systems

  • Introduction to Hadoop

  • Components of Hadoop Ecosystem: Part One

  • Components of Hadoop Ecosystem: Part Two

  • Components of Hadoop Ecosystem: Part Three

  • Commercial Hadoop Distributions

Hadoop Architecture,Distributed Storage(HDFS) and YARN

  • What Is HDFS

  • Need for HDFS

  • Regular File System vs HDFS

  • Characteristics of HDFS

  • HDFS Architecture and Components

  • High Availability Cluster Implementations

  • HDFS Component File System Namespace

  • Data Block Split

  • Data Replication Topology

  • HDFS Command Line

  • YARN Introduction

  • YARN and Its Architecture

  • Resource Manager

  • How Resource Manager Operates

  • Application Master

  • How YARN Runs an Application

  • Tools for YARN Developers

Data Ingestion into Big Data Systems and ETL

  • Data Ingestion Overview Part One

  • Data Ingestion

  • Apache Sqoop

  • Sqoop and Its Uses

  • Sqoop Processing

  • Sqoop Import Process

  • Sqoop Connectors

  • Apache Flume

  • Flume Model

  • Scalability in Flume

  • Components in Flume’s Architecture

  • Configuring Flume Components

  • Apache Kafka

  • Aggregating User Activity Using Kafka

  • Partitions

  • Apache Kafka Architecture

  • Producer Side API Example

  • Consumer Side API

  • Consumer Side API Example

  • Kafka Connect

Distributed Processing MapReduce Framework and Pig

  • Distributed Processing in MapReduce

  • Word Count Example

  • Map Execution Phases

  • Map Execution Distributed Two Node Environment

  • MapReduce Jobs

  • Hadoop MapReduce Job Work Interaction

  • Setting Up the Environment for MapReduce Development

  • Set of Classes

  • Advanced MapReduce

  • Data Types in Hadoop

  • OutputFormats in MapReduce

  • Using Distributed Cache

  • Joins in MapReduce

  • Replicated Join

  • Introduction to Pig

  • Components of Pig

  • Pig Data Model

  • Pig Interactive Modes

  • Pig Operations

  • Relations Performed by Developers

  • Apache Pig

Apache Hive

  • Hive SQL over Hadoop MapReduce

  • Hive Architecture

  • Interfaces to Run Hive Queries

  • Running Beeline from Command Line

  • Hive Metastore

  • Hive DDL and DML

  • Creating New Table

  • Data Types

  • Validation of Data

  • File Format Types

  • Data Serialization

  • Hive Table and Avro Schema

  • Hive Optimization Partitioning Bucketing and Sampling

  • Non Partitioned Table

  • Data Insertion

  • Dynamic Partitioning in Hive

  • Bucketing

  • What Do Buckets Do

  • Hive Analytics UDF and UDAF

  • Assisted Practice: Synchronization

  • Other Functions of Hive

NoSQL Databases HBase

  • NoSQL Introduction

  • HBase Overview

  • HBase Architecture

  • Data Model

  • Connecting to HBase

  • HBase Shell

Basics of Functional Programming and Scala

  • Introduction to Scala

  • Scala Installation

  • Functional Programming

  • Programming with Scala

  • Type Inference Classes Objects and Functions in Scala

  • Collections

  • Types of Collections

  • Scala REPL

Apache Spark Next Generation Big Data Framework

  • History of Spark

  • Limitations of MapReduce in Hadoop

  • Introduction to Apache Spark

  • Components of Spark

  • Application of In-Memory Processing

  • Hadoop Ecosystem vs Spark

  • Advantages of Spark

  • Spark Architecture

  • Spark Cluster in Real World

Spark Core Processing RDD

  • Processing RDD

  • Introduction to Spark RDD

  • RDD in Spark

  • Creating Spark RDD

  • Pair RDD

  • RDD Operations

  • Caching and Persistence

  • Storage Levels

  • Lineage and DAG

  • Need for DAG

  • Debugging in Spark

  • Partitioning in Spark

  • Scheduling in Spark

  • Shuffling in Spark

  • Sort Shuffle

  • Aggregating Data with Pair RDD

Spark SQL Processing DataFrames

  • Spark SQL Introduction

  • Spark SQL Architecture

  • DataFrames

  • Interoperating with RDDs

  • RDD vs DataFrame vs Dataset

  • Processing DataFrames

Spark MLlib Modeling Big Data with Spark

  • Role of Data Scientist and Data Analyst in Big Data

  • Analytics in Spark

  • Machine Learning

  • Supervised Learning

  • Unsupervised Learning

  • Reinforcement Learning

  • Semi-Supervised Learning

  • Overview of MLlib

  • MLlib Pipelines

Stream Processing Frameworks and Spark Streaming

  • Streaming Overview

  • Real-Time Processing of Big Data

  • Data Processing Architectures

  • Spark Streaming

  • Introduction to DStreams

  • Transformations on DStreams

  • Design Patterns for Using ForeachRDD

  • State Operations

  • Windowing Operations

  • Join Operations stream-dataset Join

  • Streaming Sources

  • Structured Spark Streaming

  • Structured Streaming Architecture Model and Its Components

  • Output Sinks

  • Structured Streaming APIs

  • Constructing Columns in Structured Streaming

  • Windowed Operations on Event-Time

Spark GraphX

  • Introduction to Graph

  • Graphx in Spark

  • Graph Operators

  • Join Operators

  • Graph Parallel System

  • Algorithms in Spark

  • Pregel API

  • Use Case of GraphX

Big Data Hadoop Training in Nagercoil Key Skills

  • Data Replication Topology
  • HBase Shell
  • RDD vs DataFrame vs Dataset
  • Analytics in Spark
  • DataFrames
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Advantages in TutorsBot

  • Placement Team for Job Assurance to Course Enroller
  • Professional Trainer from IT Industry
  • Deidicated Support Team for Training and Development
  • Practical Training Program includes Hand On Project Session
  • More than 150 Subject Matter Expert Community
  • Five Years of Training Services Provider
  • Placed More than 850 Students

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Projects

Medical Records Storage and Processing

A Hadoop system can store seven years' worth of claims and remit data, which requires extensive processing to get into a normalised format, as well as logging terabytes of data generated daily from transactional systems and storing it in CDH for analysis.

Orbitz

A Hadoop cluster was an inexpensive solution to store large amounts of raw logs. Machine learning techniques are used to clean and analyse data.

Logistics

Hadoop enables for the storage of massive amounts of sensor data. Hadoop also allows you to query and connect this data with other data sets.

Training Options

Self Paced Learning

Affordable Price

Flexible Timing

Videos from Experts

Updated Syllabus

Instructor-Led Training

Thursday, October 6th 2022

Monday to Friday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : One Hour

Saturday, October 8th 2022

Saturday to Sunday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : Three Hours

Monday, October 10th 2022

Monday to Friday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : One Hour

Saturday, October 15th 2022

Saturday to Sunday

5:00 AM to 10:00 PM GMT +5:30

Class Duration : Three Hours

Expert Trainers

Doubt Resolutions

Dedicated Support Team

Placements Assistance

Corporate Training

Customized Syllabus

Easy Employee Up-Skilling

Dedicated LMS

Full Time Support

Get Your Course Certificate

The course is in line with respective certification programs, and upon the completion of the training, TutorsBot’s course completion certificate will be awarded upon the completion of the projects, along with other certifications.

This certificate is a proof that you have completely mastering in the domain. This certificate validate you have worked in assignments, exercises, projects and case studies. Share your certificate and achievement on LinkedIn, Facebook or Twitter.

TutorsBot Certificate

Course Timing

Weekdays

Monday to Friday

Timing 8:00 to 10:00

Weekend

Saturday & Sunday

Timing 9:00 to 9:00

Online

Monday to Sunday

Timing 7:00 to 10:00

Fast-track

Monday to Sunday

Timing 7:00 to 10:00

Course Review

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"It was all put together for me through the learning methodology. I ended myself taking on undertakings I'd never attempted before and never believed I'd be capable of."

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"Instructor-led training program was interactive. We can resolve our doubts over the call or email or community. convenient online training and experienced instructor for the Big Data Hadoop course."

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"The faculty is so experienced and they teach concepts in simple terms. I benefited well from TutorsBot for the training program. In the future, I will enroll in alternative courses for my upskilling."

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"The course curriculum was industry-oriented and the project sessions were exceedingly helpful. The exercise session was extremely useful in applied learning."

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"Best applied learning session and best project session. I recommend TutorsBot for those who are looking to learn the latest technologies. "

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Training FAQ

TutorsBot’s program faculties are screened through multiple profiles with over 5 years of experience in the industry domain and have reputed training backgrounds. We select the faculties only after evaluating technical knowledge with many alumni ratings then they are allowed to be training faculties in TutorsBot.

TutorsBot team provides support from training onboarding, assignments, micro-learning exercise, and doubt resolutions. The TutorsBot team also provides resume building, mock interview, placement assistance, and project mentoring.

No, TutorsBot's placement team helps to increase the opportunity of getting the job by providing technical training, industry projects, case studies, resume preparation and mock interviews.

At TutorsBot, you can enroll in either instructor-led online training or instructor-led campus training. We also provide corporate training for workforce upskilling.

You can make payment with any of the following options: credit card, debit card, net banking, and wallets and by cash. After paying the payment you will receive an email with the receipt.

Yes, After deducting admission fees for the training program; We will refund the remaining amount. Refund will not avail after attending five classes of the course enrollment. To know more about the refund policy, check our Refund Policy webpage in the website's footer.

Big Data Hadoop Course training program will have a duration of 3 months.

Big Data Hadoop Course is becoming a high-demand job in the industry. Enrolling in a Big Data Hadoop program will increase your knowledge in Big Data Hadoop course and increase your career transition. In this course, the training syllabus updated based on current domain trends

Our educators employ a wide range of online technologies and strategies to enhance the online training experience. Our lecturer instructs students to log in at the specified time. In an online context, they may observe, interact with, and explain questions emerging from presentations, as well as connect with learning materials. They can also submit their homework online.

We do, indeed. As technology advances, we update our curriculum and give you with training on the most recent version of that technology.

All online training sessions are recorded. You will receive recordings of the sessions so that you may see the online lessons whenever you like. You can also attend another class to make up for the classes you missed.

Yes, you may certainly pay in installments.

TutorsBot's Big Data Hadoop Course in Nagercoil provides freshers with in-depth education as well as hands-on experience on industry projects.Big data hadoop earning path is simplified here with real-world examples and extensive coaching. It provides freshers with a promising career path provided they are certified and have practical experience.

No. It is basically a query language and uses general language for easy understanding. With our experienced faculty team at TutorsBot, we make it more easier to learn.

Big Data Hadoop Course is a top-rated, in-demand, and simple-to-learn course. There are numerous opportunities available in the IT industry, as well as many others. TutorsBot generates the best placement option for you.

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