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COURSE CONTENT

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  • What is JAVA ?
  • What is JRE and JDK ?
  • What is JVM?
  • How Java works?
  • Installation of JAVA and Eclipse IDE
  • Data types in Java
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  • Classes and Objects
  • Methods
  • Constructors
  • Arrays
  • This keyword
  • Super and final keyword
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  • Inheritance
  • Concept of Polymorphism
  • Abstract class
  • Interface
  • StringTokenizer
  • BufferReader
  • List
  • Set
  • Map
  • Arraylist
  • HashMap
  • What is Data?25 mins
  • Classification of Data27 mins
  • Detailed description of Structured Data20 mins
  • Sources of Structured Data8 mins
  • Detailed description of Semi-Structured Data
  • Sources of Semi-Structured Data
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  • Architecture of Hadoop20 mins
  • Detailed description of Hadoop ecosystem27 mins
  • Classification of Hadoop Ecosystem
  • Introduction of different components of Hadoop: Hive,Pig,Sqoop,Hbase,Flume etc
  • Hadoop Core Components: HDFS and MapReduce
  • Detailed description of HDFS
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  • Processing Data with Hadoop21 mins
  • Introduction to MapReduce16 mins
  • Languages used in MapReduce
  • MapReduce Daemons
  • Introduction to Job Tracker?
  • Introduction to Task Tracker?
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  • Operational modes of Hadoop23 mins
  • Description of Standalone mode
  • Description of Pseudo Distributed mode
  • Desciption of Fully distributed mode
  • Environment Setup of Hadoop
  • Installation of Cloudera VM
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  • Browsing the HDFS20 mins
  • HDFS Commands and Operations22 mins
  • Listing all the Hadoop file system Commands18 mins
  • Checking version of Hadoop
  • How to run a Jar file in Hadoop
  • Making a directory in HDFS
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  • Introduction to MapReduce27 mins
  • High level view of MapReduce Processing30 mins
  • Descriptive Details of various steps involved in MapReduce22 mins
  • MapReduce version 1
  • Issues in MRv1: Need of MRv2
  • MRv2 : YARN
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  • Browsing the HDFS20 mins
  • HDFS Commands and Operations22 mins
  • Listing all the Hadoop file system Commands18 mins
  • Checking version of Hadoop
  • How to run a Jar file in Hadoop
  • Making a directory in HDFS
See more
  • Introduction to MapReduce27 mins
  • High level view of MapReduce Processing30 mins
  • Descriptive Details of various steps involved in MapReduce22 mins
  • MapReduce version 1
  • Issues in MRv1: Need of MRv2
  • MRv2 : YARN
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  • Use case of Partitioner: Segregating patient data based on some condition using partitioners29 mins
  • What are Custom data types?29 mins
  • Common rules for creating Custom data types42 mins
  • Use case : Processing Online music data using custom data types 5 mins
  • What are Counters?25 mins
  • Built in counters31 mins
  • Types of Counters and their description11 mins
  • User defined counters
  • Use case1 : Processing weblog entries using counters
  • Use case 2 : Processig Customer complaint data using counters
  • What is Distributed Cache?
  • Setting up the cache for a job
  • Usecase: Processing news data using distributed cache
  • Joining data in Mapreduce28 mins
  • What are MapJoins34 mins
  • How the data is joined at MapSide
  • Use Case : Joining Enterprise datasets
  • Operational modes of Hadoop23 mins
  • Description of Standalone mode
  • Description of Pseudo Distributed mode
  • Desciption of Fully distributed mode
  • Environment Setup of Hadoop
  • Installation of Cloudera VM
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  • What are Sequence files?
  • Formats of Sequence files
  • Structure of Seq files with and without record compression
  • Structure of Seq files with and without block compression
  • Sequence file header
  • Writing a sequence file
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  • Why do we need PIG ?37 mins
  • Why should we go for PIG when we have MapReduce?19 mins
  • What is Pig ?13 mins
  • Where to use Pig?13 mins
  • Anatomy of Pig15 mins
  • Pig on Hadoop
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  • UseCase: Processing the weblogs using Pig
  • Functions in Pig31 mins
  • AVG19 mins
  • CONCAT30 mins
  • COUNT
  • MAX
  • MIN
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  • What is Hive?45 mins
  • Hive query language
  • Why Hive when Pig is there ?
  • Hive v/s Pig
  • Brief History of Hive
  • Features of Hive
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  • Hive Query language29 mins
  • Database commands27 mins
  • Creating a database30 mins
  • Listing all databases30 mins
  • Using a specific database26 mins
  • Tables : Managed and External Tables
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  • Use Case : Processing Stocks Data to calculate covariance
  • Hive UDFs
  • Usecase : Analyzing news data using user defined functions32 mins
  • What are NoSQL databases?29 mins
  • Types of NoSQL databases15 mins
  • NoSQL technology landscape33 mins
  • Limitations of Hadoop
  • What is Hbase?
  • Brief History of Hbase
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  • Hbase Data Coordinates21 mins
  • Multi Map Structure29 mins
  • Java Client Apis27 mins
  • Creating a table using java api27 mins
  • Listing tables using java api35 mins
  • Disabling a table using java api27 mins
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  • Why Sqoop?29 mins
  • What is Sqoop ?22 mins
  • How Sqoop works ?26 mins
  • Sqoop import and sqoop export16 mins
  • Controlling Parallelism
  • Direct mode of importing data
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  • Importing data into Hbase22 mins
  • Sqoop-import-all-tables36 mins
  • Sqoop-export36 mins
  • Sqoop-job
  • Savedjobs and incremental imports
  • Sqoop-eval
  • What is Flume?33 mins
  • Why Flume?32 mins
  • Advantages of Flume13 mins
  • Architecture of Flume25 mins
  • Flume event23 mins
  • Flume agents23 mins
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  • Generating web log dummy data using a script27 mins
  • Loading the data into hive28 mins
  • Analysing the DDOS attacks
  • Plotting the refined data in Power View30 mins
  • Popup Handling
  • Managing different Windows
  • Close and Quit -Difference
  • Concept of WebTables
  • Dynamic WebTable Handling
  • Extracting Data From WebTable
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