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    Hands on HADOOP Masterclass Tame the Big Data

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    Udemy

    Gain hands-on experience in Hadoop for big data analytics using MapReduce, HDFS, HIVE, PIG, Mahout, NoSQL, Flume, Storm, Spark, Sqoop, Cloudera, etc.

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    Mode

    Online

    Fees

    ₹ 799

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course overview

    Hands-on HADOOP Masterclass - Tame the Big Data online course deals with two of the important aspects in the field of data science i.e., big data and Hadoop. Big data is a group of data that cannot be processed using typical methods. It collects and processes data using a variety of tools and techniques. Hadoop is an open-source software framework for storing information of any form and launching applications on a large number of devices. Hadoop has a significant amount of power to handle a lot of operations. 

    Hands-on HADOOP Masterclass - Tame the Big Data online certification was created by EDUCBA and is accessible on Udemy which is intended for individuals who want to receive practical knowledge of Hadoop for data analysis. Hands-on HADOOP Masterclass - Tame the Big Data online classes comprise over 67 years of thorough video lectures aimed at teaching the fundamentals of big Data and technologies that enable big data analytics, such as MapReduce, NoSQL, Oozie, Storm, Spark, Cloudera, Mahout, Flume, and many more.

    The highlights

    • Certificate of completion
    • Self-paced course
    • English videos with multi-language subtitles
    • 68 hours of pre-recorded video content
    • Projects
    • 30-day money-back guarantee 
    • Unlimited access
    • Accessible on mobile devices and TV

    Program offerings

    • Certificate of completion
    • Self-paced course
    • English videos with multi-language subtitles
    • 67.5 hours of pre-recorded video content
    • Projects
    • 30-day money-back guarantee
    • Unlimited access
    • Accessible on mobile devices and tv

    Course and certificate fees

    Fees information
    ₹ 799
    certificate availability

    Yes

    certificate providing authority

    Udemy

    What you will learn

    Knowledge of big data

    After completing the Hands-on HADOOP Masterclass - Tame the Big Data certification course, individuals will gain a solid understanding of the functionalities of Hadoop for big data analytics. Individuals will learn about the strategies for utilizing the functionality of several big data analytics tools such as PIG, Hive, HDFS, MapReduce, NoSQL, Oozie, Spark, Flume, Sqoop, Storm, Avro, Cloudera, and many more. Individuals will also receive hands-on expertise with various Hadoop cluster configurations.

    The syllabus

    Big Data and Hadoop Training Introduction

    • Introduction to Big Hadoop
    • Scenario of Big Data Hadoop
    • Write Anatomy
    • Continuation os Write Anatomy
    • Read Anatomy
    • Continuation os Read Anatomy
    • Word Count in Hadoop
    • Running Hadoop Application
    • Continuation Hadoop Application
    • Working on Sample Program
    • Creating Method Map
    • Iterable Values
    • Output Path
    • Scary Catch Box

    Hadoop Architecture and HDFS

    • Introduction to Hadoop Admin
    • Limitations of Existing System
    • Hadoop Key Characteristics
    • Hadoop Distributed File System
    • Storage Layer of Hadoop
    • Hadoop 1.0 Core Components
    • FS Images
    • Secondary Name Node
    • HDFC Architecture
    • Block Placement Policy
    • Assignments
    • Hadoop Architecture Cluster Setup
    • Installation of Hadoop in Vmware Workstation
    • Hadoop Package Installation
    • Configuration of Host Name and Gateway
    • Copying of ISO File to Centos
    • Installation of SSH File Using Yum
    • Copy the Public Key to Authorized Key in SSH
    • Setup for Block Size and Mapped
    • Create SSH -keygen for HD User
    • Start the Map Reduce in Hadoop
    • Creating a Clone for Hadoop
    • Changing the Hostname
    • Configuring Hadoop Site
    • Slave File Configuration
    • Creating Name node and Data Node In Hadoop
    • Understanding HDFS
    • Hadoop Core Config Files
    • Hadoop Cluster and Password less SSH
    • Configuring Rack Awareness
    • Configuring Rack Awareness Continues
    • Running DFS Admin Report
    • Hadoop Map Reduce
    • Running Hadoop NameNode
    • Executing Hadoop Command
    • Writing File in Hadoop Cluster
    • Understanding FS Command
    • Directories of Data
    • Fie System Check
    • Writing Data in HDFS
    • Checkpointing Node
    • Merging the Metadata
    • Cluster in Safe Mode
    • Cluster in Maintainance Mode
    • Commissioning of Data Nodes
    • Name Node
    • Validating the Data Node
    • Storage Considerations

    MapReduce Fundamentals

    • Secondary Sort Hadoop
    • Creating Composite Key
    • Continue on Composite Key
    • Word Count Group
    • Importance of Partition
    • Hadoop FS - LS
    • Joins in Hadoop
    • Creating Configuration Object
    • Setup Method
    • Map Side Join Mapper
    • Hadoop Commands
    • Combiner in Hadoop
    • Continue on Combiner in Hadoop
    • Uploading Combiner Jar
    • Introduction to Real World
    • Ratings Mapper
    • Movie and Ratings Runner
    • Movie and Rating Calc Jar
    • Total Ratings By A User
    • User Rating Reducer
    • User Rating Class
    • Yarn Basic Tutorial
    • Node Manager

    MapReduce Advanced

    • Running a MapReduce Program
    • Running a MapReduce Program Continues
    • HDFS File System
    • Combination of Word Count Functionality
    • Word Count With Tools
    • Log Processor
    • Advanced MapReduce and PIG
    • More on Advanced MapReduce
    • Executing Similar Program
    • HDI Data and Export Data
    • Creating New Java Class
    • Text Out Inverted Indexer
    • Introduction to MapReduce on Hadoop
    • Java Build Path
    • Local MapReduce
    • Using MapReduce
    • Sequence file Format
    • Parse Weblogs
    • Page View Mapper
    • Analytics Program
    • Analytics Program Continue
    • Inverted Index Map Reduce
    • Friend Sofa Friend
    • Cloud era Local Host
    • Cloud era Local Host Output
    • Final Module MapReduce Program
    • Strands
    • File Path Filter
    • Example
    • Example Continue

    Hive Fundamentals

    • Introduction to HIVE
    • HIVE DataBase
    • Load Data Command
    • How to Replace Column
    • External Table
    • HIVE Metastore
    • What is Hive Partition
    • Creating Partition Table
    • Insert Overwrite Table
    • Dynamic Partition True
    • Hive Bucketing
    • Decomposing Data Sets
    • Hive Joins
    • Hive Joins Continue
    • Skew Join
    • What is Serde
    • Serde in Hive
    • Hive UDF
    • Hive UDF Continues
    • More Hive UDF
    • Maxcale Function
    • Hive Example Use Case

    Hive Advance

    • Introduction to Hive Concepts and Hands-on Demonstration
    • Internal Table and External Table
    • Inserting Data Into Tables
    • Date and Mathematical Functions
    • Conditional Statements
    • Explode and Lateral View
    • Sorting
    • Join
    • Map Join
    • Static and Dynamic Partitioning
    • More on Dynamic Partitioning
    • Alter Command
    • MSCK Command
    • Bucketing
    • Table Sampling
    • Archiving
    • Ranks
    • Creating Views
    • Advantages of views and Altering Views
    • What is Indexing
    • Compact and Bitmap Index Running Time
    • Hive Commands in Bash Shell
    • Hive Variables - Hiveconf
    • Hive Variables -Hiveconf in Bash Shell
    • Configuring a Hive Var Variable
    • Variable Substitution
    • Word Count
    • Hive Architecture
    • Parallelism in Hive
    • Table Properties in Hive
    • Null Format Properties
    • Null Format Properties Continues
    • Purge Commands in Hives
    • Slowing Changing Dimension
    • Implement the SCD
    • Example of the SCD
    • How to Load XML Data in Hive
    • How to Load XML Data in Hive Continue
    • No Drop and Offline in Hive
    • Immutable Table
    • How to Create Hive RC File
    • Multiple Tables
    • Merging Hive Created Files and Function rLike
    • Various Configuration Settings in Hive
    • Various Configuration Settings in Hive Continues
    • Compressing Various Files in Hive
    • Different Modes in Hive
    • File Compression in Hive
    • Type of Mode in Hive
    • Comparison of Internal and External Table

    PIG Fundamentals

    • Introduction to Pig
    • Features of Apache Pig
    • Pig Vs Hive
    • Apache Pig Local and MR Modes
    • Launching Local Modes
    • Data Types in Pig
    • Pig Commands - Store and Load
    • Load Command
    • Pig Commands - Group
    • CoGroup Operator
    • Join and Cross operators in Pig
    • Join and Cross operators in Pig Continues
    • Union and Split Operators in Pig
    • More on Split Operators
    • Filter Distinct and For each
    • Pig Functions
    • Pig Functions Continues
    • Input Data Size

    PIG Advanced

    • Getting Started with PIG
    • Installation Process
    • PIG Latin
    • Uploading the File in HDFS
    • PIG Script
    • PIG Latin Basics
    • Up and Running with Pig
    • Loading and Storage
    • Loading and Storage Continue
    • Debugging
    • Grunt Shell
    • UDFs and Piggy Bank

    NoSQL Fundamnetals

    • A Brief History of NoSQL
    • Schema Agnostic
    • Nonrelational
    • Enterprise NoSQL
    • Recent Trends in IT
    • NoSQL Benefits and Precautions
    • Managing Different Data Types
    • Triple and Graph Store
    • Hybrid NoSQL Databases
    • Applying Consistency Method
    • Choosing ACID or BASE?
    • Developing Application on NoSQL
    • Semantics
    • Public Cloud
    • Managing Availability
    • Versioning Data

    Apache Mahout

    • What is Mahout
    • Mahout Architecture
    • Subversion Installation
    • Item Based Recommendation
    • Example- CBayes Classifier
    • Command Line Options
    • Canopy Clustering
    • Basic Recommender
    • Practical Examples
    • Mahout Seqdumper Command
    • Running Code through Eclipse
    • Reading from Code
    • Introduction to Apache Mahout Deep Dive
    • Use Cases
    • Recommendation
    • Example - Tanimoto Distance
    • How to Use Mahout?
    • Exercise
    • Example - Evaluation
    • Deep Dive Canopy Clustering
    • Classification
    • Vector File
    • Naïve Bayes Classifier from Code
    • KMeans Clustering
    • Logistic Regression

    Apache Oozie

    • Introduction to Apache Oozie
    • Discuss Action in Detail
    • Discuss Parameters
    • Email Action in Oozie
    • Hadoop FS Action in Oozie
    • Hive Action in Oozie
    • Hive Action in Oozie Continue
    • Control Node
    • Control Node Continue
    • Pig Action in Oozie
    • Pig Action in Oozie Continues
    • Oozie Coordinators
    • Oozie Workflow Applications
    • Oozie Workflow Applications Continues

    Apache Flume

    • Introduction to Flume
    • Data Flow in Flume
    • Flume Netcat Example

    Apache Storm

    • Introduction
    • Description of Hadoop
    • Storm Introduction
    • Apache Storm History
    • Features of Apache Storm
    • Architecture of Apache Storm
    • Architcture Explanation in Detail
    • Topology
    • Spouts and Bolts
    • Stream
    • Installation Process
    • Stream Grouping
    • Stream Grouping Continue
    • Reliability
    • Tasks
    • Workers
    • Java Installation and Zookeeper
    • Zookeeper installation
    • Eclipse Installation
    • Command-line Client
    • Parallelism in Storm Topology

    Apache Avro

    • Introduction to Apche Avro
    • Using Avro with Sqoop
    • Supported Primitive Data Types in Avro

    Apache Spark Fundamentals

    • Introduction to Apache Spark Spark
    • Spark Context
    • Spark Components
    • Introduction to Spark RDD Basics
    • Use of Filter Function
    • RDD Transformations in Spark
    • RDD Transformations in Spark Continues
    • RDD Persistence in Spark
    • Group Sort and Actions on Pair RDDs
    • Spark File Formats
    • Spark File Formats Continues

    Apache Spark Advanced

    • Introduction to Connecting to Twitter Using Spark
    • Flowchart of Spark
    • Components of Spark
    • Different Services Running on YARN
    • Introduction to Scala
    • Case Classes and Pattern Matching
    • Installation of Scala
    • Variables and Functions
    • Variables and Functions Continues
    • Loops
    • Collections
    • More on Collections
    • Abstract Class
    • Example of the Abstract Class
    • Trait
    • Example of the Trait
    • Exception
    • Practical Example of Exceptions
    • Customize Exceptions of Scala Project
    • Modifiers
    • Strings
    • Methods in Strings
    • Methods in Strings Continue
    • Array
    • RDD in Spark
    • RDD in Spark Continues
    • Different Operations
    • Transformation Operations
    • Action Operations
    • Action Operations Continues
    • Maven Creation
    • Create Scala Project
    • Difference between Hadoop 1.x and 2.x
    • Connection to Twitter Using Spark Streaming
    • How to Connect Twitter Using Spark Application
    • More on Connect Twitter Using Spark Application

    Hadoop Project 01 - Sales Data Analysis

    • Introduction to Sales Data Analysis Using Hadoop- HDFS
    • Working with Problem Statement 2
    • Working with Problem Statement 3
    • Working with Problem Statement 4
    • Working with Problem Statement 5
    • Working with Problem Statement 6

    Hadoop Project 02 - Tourism Survey Analysis

    • Introduction to Tourism Survey Analysis Using HDFS
    • Average of Money Spend By Tourist in our Country
    • Join Country and Nationality
    • Total no. of Tourist Less than 18
    • Change the Country Name Column
    • Number of Males from Australia
    • Tourism Survey General Detail and Spending Details

    Hadoop Projects 03 - Faculty Data Management

    • Introduction to Faculty Data Management Using HDFS
    • Education Industry
    • Adding New Column in Faculty Database Management
    • Changing Column Name and Data Type
    • Drop Column From Table and Add New Column

    Hadoop Project 04 - E - Commerce Sales Analysis

    • Introduction to E-Commerce Sales Analysis Using Hadoop
    • Customer Detail not from the USA
    • Customer Detail Account Created After 2009
    • Customer Details whose Sales are Less than 3600$
    • Details of Customer Name ’’ Anushka

    Hadoop Project 05 - Salary Analysis

    • Part time Employee using Salary Analysis
    • Details of Administrative Assistance
    • Data Sets in Ascending Order
    • Job Title for Each Department
    • Changing Name to Employee Name
    • Total number of Employee in Hourly Basis
    • Annual Salary Taken By Finance Department

    Hadoop Project 06 - Health Survey Analysis using HDFS

    • Introduction to Health Analysis
    • Show Rows Data From Health Data Table
    • Adding New Data in Health Data Table
    • Get Data From HDFS Database from SQL Database
    • Getting Data in New HDFS Directory from SQL
    • Export Data Table From HDFS to SQL
    • Get Details of City Population in Health Dataset

    Hadoop project 07 - Traffic Violation Analysis

    • Introduction to Traffic Violation Analysis
    • Introduction to Traffic Violation Analysis Continues
    • Get Table From SQL to HDFS Directory
    • The output of Table From SQL to HDFS Directory
    • List Databases and Tables of SQl in HDFS
    • Create and Execute jobs in Traffic Violation
    • Import Data for Personal Injuries from SQL
    • Get Data For State Maryland
    • Extract Data of Traffic Violation from HDFS to My SQL

    Hadoop Project 08 - PIG/MapReduce - Analysis Loan Dataset

    • Introduction to Analyze the Loan Data Set
    • Introduction to Analyze the Loan Data Set Continues
    • Overall Average Risk
    • Coding Average Risk
    • Coding Average Risk Continues
    • More on Average Risk
    • Average Risk Per Location
    • Average Risk per Loan Type
    • Calculate Average Risk Per Category
    • Calculate Average Risk Per category Continues
    • Comparable Interface in MapReduce
    • Implementation and Execution MapReduce
    • Average Risk Per Category in PIG
    • Average Risk Per Category and Location in PIG
    • Average Risk Per Category and Location in PIG Continues
    • Average Risk Per Category in Hive
    • Analysis Bank Loan Dataset in HIVE
    • Analysis Bank Loan Dataset in HIVE Continues
    • Understand Sqoop and Get RDBMS Data in HDFS

    Hadppo Project 09 - HIVE - Case Study on Telecom Industry

    • Introduction of Hive
    • Simple and Complex Datatype in Hive
    • Clusters
    • Database Command in Hive
    • Tables Commands in Hive
    • Manage Tables
    • External Tables
    • Introduction to Partitioning
    • Partition Command
    • Bucketing
    • Table Contr Services in Hive
    • Example of Contr Services
    • Example of Contr Services Continues
    • Creating Contract All Table

    Hadoop Project 10 - HIVE/MapReduce - Customers Complaints Analysis

    • Introduction to Customer Complaint Project in Big Data
    • Complaint Filed Under Each File
    • Creating Driver Files and Jar Manifest
    • Creating Driver Files and Jar Manifest Continues
    • Complaint Filed from Particular Location
    • User Defined Location
    • List of Complaint Grouped By Location

    Hadoop Project 11 - HIVE/PIG/MapReduce/Sqoop - Social Media Analysis

    • Introduction to Social Media Industry
    • Book Marking Website
    • Book Marking Website Continues
    • Understanding Sqoop
    • Get Data from RDMS to HDFS
    • Execute Map Reduce Program in order to Process XML File
    • Analyze Book Performance By Reviews Using Codev
    • Analyze Book Performance By Reviews Using Code Continues
    • Analyse Book By Location
    • Example of Analyse Book By Location
    • Analyse Book Reader Against Author
    • How to process XML File in PIG
    • How to process XML File in PIG Continues
    • Analyze Book Performance in XML File in PIG
    • More on Analyze Book Performance in XML File in PIG
    • Pig XML File Output Using Book
    • Pig XML File Output Using Location
    • Pig XML File Output Using Location Continues
    • Understanding Complex Data Set Using Hive
    • Understanding Complex Data Set Using Hive Continues
    • Create Array in Map Reduce Using Hive
    • Book Marking Type Data Set Using Complex Type
    • The output of Book Marking Type Data Set

    Haddoop Project 12 - HIVE/PIG - Sensor Data Analysis

    • Introduction to Sensor Data Analysis
    • Introduction to Sensor Data Analysis Continues
    • Example of Sensor Data Analysis
    • Understanding Basic of Big Data and MapReduce
    • More on Big Data and MapReduce
    • Converting Json File into Simple Text Format
    • Converting Json File into Simple Text Format Continues
    • Output for Json File format
    • Difference Between Pig‚ MapReduce and Hive
    • More on Pig‚ MapReduce and Hive
    • Sensor Data Processing in Pig
    • Working With Pig Function
    • Types of Function in Pig
    • Example of Pig Function
    • Working on Use Cases Using Functions in PIG
    • Use Case Data Flow in Pig
    • Ratio Data Flow in Pig
    • More on Use Case in Pig
    • More on Use Case in Pig Continues
    • Example od Ratio Education in Pig
    • Approach Process the Json File in Hive
    • Features and Query in Hive
    • Work on Json Use Cases Using Hive
    • Work on Json Use Cases Using Hive Continues
    • The output of Json Usecases Using Hive
    • More on Json Usecses in Hive
    • Summary of Sensor Data Processing

    Hadoop Project 13 - PIG/MapReduce - Youtube Data Analysis

    • Introduction to Youtube Data Analysis Using Hadoop
    • Introduction to Youtube Data Analysis Using Hadoop Continues
    • Data Preparation For Youtube Data Analysis using Hadoop
    • Basics of Big Data and Map Reduce
    • More on Big Data and Map Reduce
    • Working with Analysis Senario using Map Reduce
    • Example of Youtube Analyser using Map Reduce
    • Output Youtube Analyse in Map Reduces
    • High Rated Youtube Video Analyser in Map Reduces
    • Implementation and Outputt in Map Reduces
    • Basics of PIG
    • Basics of PIG Continues
    • Analyze Youtube Data using PIG Implementation
    • Example of PIG Implementation
    • The output of PIG Implementation
    • Youtube Video Analyzer using Hive
    • Creating Youtube Video Analyzer using Hive
    • Analysis Youtube Videos using Hive Query
    • Analysis Youtube Videos using Hive Query Continues
    • More on Hive Query Languages
    • Conclusion

    Hadoop and HDFS Fundamentals on Cloudera

    • What is Big Data?
    • Processing Big Data
    • Distributed storage and processing
    • Understanding Map Reduce
    • Introduction to module 2
    • Introduction to Cloudera environment
    • Understanding Hadoop environment installed on Cloudera
    • Understanding metadata configuration on Hadoop
    • Understanding HDFS web UI and HUE
    • HDFS shell Commands
    • Few more HDFS shell Commands
    • Accesing HDFS through Java program

    Log Data Analysis with Hadoop

    • Introduction to Log Processing
    • Summarizing Log Files
    • MapReduce Programme
    • Execute MapReduce Program
    • Big Data Technology
    • Executing Big Data Tool
    • Writing Map Reduce Program
    • Array List Searching
    • Processing Files In Map Reduce
    • Conclusion

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