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Best Best Big Data Online Training & Best Big Data Online Classes

My Online Training Class provides the Best Big Data Online Training to students from across the globe. This platform helps students to learn Big Data Tutorials Online at any time as per individual’s convenience. Our Big Data Online Classes are conducted by professionals in a manner that is easy for students to understand. The Course material for Big Data Online Training is designed to train all the concepts of Big Data in a step by step process and covers from basic to advanced topics.

All the Big Data Online Trainings are conducted by experienced faculty members who have more than 5 years of experience in Big Data and are real time working professionals. This enables students to learn from experts on latest trends and technologies being used in Big Data. In order to provide the Best Big Data Classes, we only choose certified Big Data trainers with industry related experience. 

Our Big Data Online Training Course fee is affordable. The class timings for Big Data Training Online can be as per student’s convenience. My Online Training Class is a flexible approach where students and professionals can learn in their free time from across the globe.

BEST BIG DATA ONLINE TRAINING  INSTITUTE IN BANGALORE,HYDERABAD,CHENNAI,MUMBAI,DELHI,PUNE,INDIA

My Online Training  Class is a prominent name in Bangalore, Hyderabad, Chennai, Mumbai, Delhi, Pune, India's best Big data Online Training  institutes. We are one stop solution for people looking for top and best Big data Online Training institutes in & at Bangalore, Hyderabad, Chennai, Mumbai, Delhi, Pune, India. We offer best Big data course Online Training , Bangalore, Hyderabad, Chennai, Mumbai, Delhi, Pune, India with experienced trainers in Big data industry. We provide 100% placement assistance and make you work on live projects.

My Online Training  Class is rated as one of the Best Big data Online Training  Institute in Bangalore, Hyderabad, Chennai, Mumbai, Delhi, Pune, India based on Google and other third party reviews. We have completed over 50000 Online Training classes in Big data and provided 100% placement assistance to students. Over the past 15 years, Team at My Online Training Class is dedicated to provide High-Quality Online Training in Big data.

Trainers at My Online Training Class are handpicked from Big data Industry and they have a minimum of 10 years of experience in implementing Big data Technology. All Big data Trainers are Professional real-time working consultants who offer hands on experience based on live scenarios.

Our Big data Online Training  center in Bangalore,Hyderabad, Chennai,Mumbai,Delhi,Pune,India is well equipped with lab facilities and excellent infrastructure for providing you real time Online Training  experience. We also provide Big data certification Online Training  program. We have successfully trained and provided placement for many of our students in major MNC Companies, after successful completion Big data Online Training  course. We provide 100% placement support for our students.

We provide Corporate Online Training s, online Online Training , Weekend classes and Fast track course for best Big data Online Training  in Bangalore, Hyderabad, Chennai, Mumbai, Delhi, Pune,India. Students have the option to select the course timings according to their convenience.

Course Material for Big data is designed as per current scenarios and will help students in understanding the Big data concept in detail. Our Big data Online Training  Syllabus covers all the topics related to Big data Technology and gives a clear understanding of live scenario to students. Our Big data experts at My Online Training Class Online Training  Institute, Bangalore,Hyderabad,Chennai,Mumbai, Delhi, Pune, India have developed a unique way of teaching Big data in an efficient manner.

BIG DATA ONLINE TRAINING  COURSE

We cover all the topics from basics to advanced level. Every topic covered under the Big data Online Training  will be explained in practical ways with examples. Our Big data trainers are Big data experts and experienced working professionals with real time Big data projects knowledge.

 

Big Data Course Content

 Introduction

 Big Data IntroductionPreview

 Distributed systemsPreview

 Big Data Use Cases

 Various Solutions

 Overview of Hadoop Ecosystem

 Spark Ecosystem Walkthrough

 

 Foundation & Environment

 Understanding the CloudxLabPreview

 Getting Started - Hands onPreview

 Hadoop & Spark Hands-on

  and Assessment

 Basics of Linux - Quick Hands-On

 Understanding Regular Expressions

  and Assessment

 Setting up VM (optional)

 Zookeeper

 ZooKeeper - Race ConditionPreview

 ZooKeeper - DeadlockPreview

 Hands-On

  & Assessment

 How does election happen - Paxos Algorithm?

 Use cases

 When not to use

  & Assessment

 HDFS

 Why HDFS or Why not existing file systems?Preview

 HDFS - NameNode & DataNodesPreview

 

 Advance HDFS Concepts (HA, Federation)

 

 Hands-on with HDFS (Upload, Download, SetRep)

  & Assessment

 Data Locality (Rack Awareness)

 YARN

 YARN - Why not existing tools?Preview

 YARN - Evolution from MapReduce Preview

 Resource Management: YARN Architecture

 Advance Concepts - Speculative Execution

 

 MapReduce Basics

 MapReduce - Understanding SortingPreview

 MapReduce - OverviewPreview

 

 Example  - Word Frequency Problem - Without MR

 Example  - Only Mapper - Image Resizing

 Example  - Word Frequency Problem

 Example  - Temperature Problem

 Example  - Multiple Reducer

 Example  - Java MapReduce Walkthrough

 

 MapReduce Advanced

 Writing MapReduce Code Using JavaPreview

 Building MapReduce project using Apache AntPreview

 Concept - Associative & Commutative

 

 Example  - Combiner

 Example  - Hadoop Streaming

 Example  - Adv Problem Solving - Anagrams

 Example  - Adv Problem Solving - Same DNA

 Example  - Adv Problem Solving - Similar DNA

 Example  - Joins - Voting

 Limitations of MapReduce

 

 Analyzing Data with Pig

 Pig - IntroductionPreview

 Pig - ModesPreview

 Getting Started

 Example - NYSE Stock Exchange

 Concept - Lazy Evaluation

 Processing Data with Hive

 Hive - IntroductionPreview

 Hive - Data TypesPreview

 Getting Started

 Loading Data in Hive (Tables)

 Example: Movielens Data Processing

 Advance Concepts: Views

 Connecting Tableau and HiveServer

 Connecting Microsoft Excel and HiveServer

 Project: Sentiment Analyses of Twitter Data

 Advanced - Partition Tables

 Understanding HCatalog & Impala

 

 NoSQL and HBase

 NoSQL - Scaling Out / UpPreview

 NoSQL - ACID Properties and RDBMS StoryPreview

 CAP Theorem

 HBase Architecture - Region Servers etc

 Hbase Data Model - Column Family Orientedness

 Getting Started - Create table, Adding Data

 Adv Example - Google Links Storage

 Concept - Bloom Filter

 Comparison of NOSQL Databases

 

 Importing Data with Sqoop and Flume, Oozie

 Sqoop - IntroductionPreview

 Sqoop Import - MySQL to HDFSPreview

 Exporting to MySQL from HDFS

 Concept - Unbounding Dataset Processing or Stream Processing

 Flume Overview: Agents - Source, Sink, Channel

 Example  - Data from Local network service into HDFS

 Example  - Extracting Twitter Data

 

 Example  - Creating workflow with Oozie

 Introduction

 Apache Spark ecosystem walkthrough

 Spark Introduction - Why Spark?Preview

 

 Scala Basics

 Scala - Quick Introduction - Access Scala on CloudxLabPreview

 Scala - Quick Introduction - Variables and MethodsPreview

 Getting Started: Interactive, Compilation, SBT

 Types, Variables & Values

 Functions

 Collections

 Classes

 Parameters

 More Features

  and Assessment

 Spark Basics

 Apache Spark ecosystem walkthroughPreview

 Spark Introduction - Why Spark?Preview

 Using the Spark Shell on CloudxLab

 Example  - Performing Word Count

 Understanding Spark Cluster Modes on YARN

 RDDs (Resilient Distributed Datasets)

 General RDD Operations: Transformations & Actions

 RDD lineage

 RDD Persistence Overview

 Distributed Persistence

 Writing and Deploying Spark Applications

 Creating the SparkContext

 Building a Spark Application (Scala, Java, Python)

 The Spark Application Web UI

 Configuring Spark Properties

 Running Spark on Cluster

 RDD Partitions

 Executing Parallel Operations

 Stages and Tasks

 Common Patterns in Spark Data Processing

 Common Spark Use Cases

 Example  - Data Cleaning (Movielens)

 Example  - Understanding Spark Streaming

 Understanding Kafka

 Example  - Spark Streaming from Kafka

 Iterative Algorithms in Spark

 Project: Real-time analytics of orders in an e-commerce company

 Data Formats & Management

 InputFormat and InputSplit

 JSON

 XML

 AVRO

 How to store many small files - SequenceFile?

 Parquet

 Protocol Buffers

 Comparing Compressions

 Understanding Row Oriented and Column Oriented Formats - RCFile?

 DataFrames and Spark SQL

 Spark SQL - IntroductionPreview

 Spark SQL - Dataframe IntroductionPreview

 Transforming and Querying DataFrames

 Saving DataFrames

 DataFrames and RDDs

 Comparing Spark SQL, Impala, and Hive-on-Spark

 Machine Learning with Spark

 Machine Learning IntroductionPreview

 Applications Of Machine LearningPreview

 MlLib Example: k-means

 SparkR Example

 

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