Udemy - Big Data Hadoop Developer Course With Handson

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Udemy - Big Data Hadoop Developer Course With Handson (Size: 1.5 GB)
  1 - 11 Introduction to BigData English.srt 8.9 KB
  1 - 11 Introduction to BigData.mp4 66.8 MB
  10 - 23 HDFS Components and Architecture English.srt 13.4 KB
  10 - 23 HDFS Components and Architecture.mp4 18.3 MB
  11 - 24 HDFS File ReadWrite English.srt 9.1 KB
  11 - 24 HDFS File ReadWrite.mp4 11.9 MB
  12 - 25 HDFS Commands English.srt 15.3 KB
  12 - 25 HDFS Commands.mp4 29.6 MB
  13 - 3.1-Mapreduce.pdf 909.9 KB
  13 - 31 Mapreduce English.srt 11.2 KB
  13 - 31 Mapreduce.mp4 16.2 MB
  14 - 32 MapReduce Operation English.srt 7 KB
  14 - 32 MapReduce Operation.mp4 10.8 MB
  15 - 33 Mapreduce Example English.srt 5.6 KB
  15 - 33 Mapreduce Example.mp4 8 MB
  16 - 34 HDFS Input Splits English.srt 4.9 KB
  16 - 34 HDFS Input Splits.mp4 7.3 MB
  17 - 35 MapReduce Architecture English.srt 6.1 KB
  17 - 35 MapReduce Architecture.mp4 9 MB
  18 - 36 Combiners and Partitioners English.srt 9.6 KB
  18 - 36 Combiners and Partitioners.mp4 13.9 MB
  19 - 37 MapReduce Data Flow English.srt 4 KB
  19 - 37 MapReduce Data Flow.mp4 5.3 MB
  2 - 12 Types of Data English.srt 13.8 KB
  2 - 12 Types of Data.mp4 20.2 MB
  20 - 38 MapReduce Examples English.srt 18.7 KB
  20 - 38 MapReduce Examples.mp4 38.4 MB
  21 - 41 Advanced MapReduce I English.srt 4.3 KB
  21 - 41 Advanced MapReduce I.mp4 6.3 MB
  22 - 42 GenericOptionsParser Tool and ToolRunner English.srt 4.3 KB
  22 - 42 GenericOptionsParser Tool and ToolRunner.mp4 5.8 MB
  23 - 43 Serialization and Deserialisation English.srt 4.6 KB
  23 - 43 Serialization and Deserialisation.mp4 6.9 MB
  24 - 44 Chaining of Jobs English.srt 3.5 KB
  24 - 44 Chaining of Jobs.mp4 5.6 MB
  25 - 45 Distributed Cache English.srt 2.1 KB
  25 - 45 Distributed Cache.mp4 3.1 MB
  26 - 46 Counters English.srt 6.6 KB
  26 - 46 Counters.mp4 10.1 MB
  27 - 47 JUnit Testing English.srt 2.1 KB
  27 - 47 JUnit Testing.mp4 3.4 MB
  28 - 48 Schedulers English.srt 3.9 KB
  28 - 48 Schedulers.mp4 6.3 MB
  29 - 49 Data Compression in Hadoop English.srt 10.2 KB
  29 - 49 Data Compression in Hadoop.mp4 14.4 MB
  3 - 1.3-Introduction-to-Hadoop.pdf 903.8 KB
  3 - 13 Introduction to Hadoop English.srt 7.5 KB
  3 - 13 Introduction to Hadoop.mp4 12.5 MB
  3 - Install-Cloudera-CDH-5.3.x-on-VMware-player.pdf 895.1 KB
  30 - 410 Different Input and Output Formats in MapReduce English.srt 6.2 KB
  30 - 410 Different Input and Output Formats in MapReduce.mp4 9.2 MB
  31 - 411 Chain Mapping English.srt 21.6 KB
  31 - 411 Chain Mapping.mp4 32.9 MB
  32 - 412 Compression in Gzip English.srt 10.2 KB
  32 - 412 Compression in Gzip.mp4 15.9 MB
  33 - 413 Distributed cache English.srt 12 KB
  33 - 413 Distributed cache.mp4 21.2 MB
  34 - 414 Counters English.srt 20.1 KB
  34 - 414 Counters.mp4 40.4 MB
  35 - 415 MRUnit Test English.srt 8.6 KB
  35 - 415 MRUnit Test.mp4 18 MB
  36 - 416 Multiple inputs English.srt 15.5 KB
  36 - 416 Multiple inputs.mp4 32 MB
  37 - 417 ReadSequence File English.srt 8.3 KB
  37 - 417 ReadSequence File.mp4 20.2 MB
  38 - 51 Introduction to Apache Pig English.srt 2 KB
  38 - 51 Introduction to Apache Pig.mp4 2.7 MB
  39 - 52 PIG Latin language English.srt 5.2 KB
  39 - 52 PIG Latin language.mp4 6.2 MB
  4 - 14 Comparison with RDBMS English.srt 5.4 KB
  4 - 14 Comparison with RDBMS.mp4 7.6 MB
  40 - 53 Running PIG in Different Modes English.srt 3.3 KB
  40 - 53 Running PIG in Different Modes.mp4 5 MB
  41 - 54 Apache PIG Architecture English.srt 1.6 KB
  41 - 54 Apache PIG Architecture.mp4 2.2 MB
  42 - 55 Grunt Shell English.srt 6.7 KB
  42 - 55 Grunt Shell.mp4 16.4 MB
  43 - 56 Pig Latin Statements English.srt 7.7 KB
  43 - 56 Pig Latin Statements.mp4 14.1 MB
  44 - 57 Pig Data Model Scalar Types English.srt 5.9 KB
  44 - 57 Pig Data Model Scalar Types.mp4 12.4 MB
  45 - 58 Complex Types English.srt 11.4 KB
  45 - 58 Complex Types.mp4 22.5 MB
  46 - 59 Arithmetic Operators English.srt 6.2 KB
  46 - 59 Arithmetic Operators.mp4 13.5 MB
  47 - 510 Comparison Operators English.srt 10.6 KB
  47 - 510 Comparison Operators.mp4 23.9 MB
  48 - 511 Cast Operator English.srt 13.6 KB
  48 - 511 Cast Operator.mp4 28.7 MB
  49 - 512 Type Construction Operators English.srt 7.5 KB
  49 - 512 Type Construction Operators.mp4 16.1 MB
  5 - 15 Hadoop Features English.srt 4.2 KB
  5 - 15 Hadoop Features.mp4 6.8 MB
  50 - 513 Relational Operators English.srt 819.2 B
  50 - 513 Relational Operators.mp4 1.3 MB
  51 - 514 Loading and Storing English.srt 5.1 KB
  51 - 514 Loading and Storing.mp4 11.6 MB
  52 - 515 Filtering Operators English.srt 8 KB
  52 - 515 Filtering Operators.mp4 23.5 MB
  53 - 516 Grouping and Joining Operator Part 1 English.srt 19.9 KB
  53 - 516 Grouping and Joining Operator Part 1.mp4 35.7 MB
  54 - 517 Grouping and Joining Operator Part 2 English.srt 15.8 KB
  54 - 517 Grouping and Joining Operator Part 2.mp4 34.7 MB
  55 - 518 Combining and Splitting Operators English.srt 10.6 KB
  55 - 518 Combining and Splitting Operators.mp4 20.9 MB
  56 - 519 Sorting Operators English.srt 8.5 KB
  56 - 519 Sorting Operators.mp4 14.2 MB
  57 - 520 Diagnostic Operators English.srt 13.1 KB
  57 - 520 Diagnostic Operators.mp4 33.1 MB
  58 - 521 Filtering OperatorsPig Streaming with Python English.srt 8.3 KB
  58 - 521 Filtering OperatorsPig Streaming with Python.mp4 16.6 MB
  59 - 61 What is Hive English.srt 1.5 KB
  59 - 61 What is Hive.mp4 2.4 MB
  6 - 16 Hadoop Ecosystem English.srt 16.9 KB
  6 - 16 Hadoop Ecosystem.mp4 26.2 MB
  60 - 62 Hive Use Case Twitter English.srt 3.3 KB
  60 - 62 Hive Use Case Twitter.mp4 6.8 MB
  61 - 63 Hive vs MapReduce English.srt 4.1 KB
  61 - 63 Hive vs MapReduce.mp4 5.4 MB
  62 - 64 What is Hive English.srt 4.7 KB
  62 - 64 What is Hive.mp4 6.4 MB
  63 - 65 Advantages of HiveQL English.srt 3.7 KB
  63 - 65 Advantages of HiveQL.mp4 5.3 MB
  64 - 66 Hive Architecture English.srt 6.8 KB
  64 - 66 Hive Architecture.mp4 9.2 MB
  65 - 67 Data Types in Hive English.srt 3.6 KB
  65 - 67 Data Types in Hive.mp4 5.6 MB
  66 - 68 Hive Query Language English.srt 2.4 KB
  66 - 68 Hive Query Language.mp4 3 MB
  67 - 69 DDL on DataBase English.srt 18.1 KB
  67 - 69 DDL on DataBase.mp4 33.5 MB
  68 - 610 DDL on Tables English.srt 15.9 KB
  68 - 610 DDL on Tables.mp4 27.2 MB
  69 - 611 Different Tables in Hive English.srt 24.1 KB
  69 - 611 Different Tables in Hive.mp4 43 MB
  7 - 17 Hadoop Core Components English.srt 9.3 KB
  7 - 17 Hadoop Core Components.mp4 14.5 MB
  70 - 612 Advanced DDL on Tables English.srt 22.4 KB
  70 - 612 Advanced DDL on Tables.mp4 50.3 MB
  71 - 613 File Format in Hive English.srt 4.5 KB
  71 - 613 File Format in Hive.mp4 15.2 MB
  72 - 614 DML Loading Data into tables English.srt 11.6 KB
  72 - 614 DML Loading Data into tables.mp4 27.7 MB
  73 - 615 Managing Output English.srt 26.8 KB
  73 - 615 Managing Output.mp4 65.1 MB
  74 - 616 HiveQLQueries English.srt 9.7 KB
  74 - 616 HiveQLQueries.mp4 21.2 MB
  75 - 617 Operators and Functions in Hive English.srt 25.6 KB
  75 - 617 Operators and Functions in Hive.mp4 69.7 MB
  76 - 618 Hive Clauses English.srt 34.5 KB
  76 - 618 Hive Clauses.mp4 81.3 MB
  77 - 71 What is HBase English.srt 1.8 KB
  77 - 71 What is HBase.mp4 2.8 MB
  78 - 72 HBase history English.srt 1.6 KB
  78 - 72 HBase history.mp4 2.8 MB
  79 - 73 Building blocks of hbase English.srt 5 KB
  79 - 73 Building blocks of hbase.mp4 7.7 MB
  8 - 2.1-Hadoop-Distributed-File-System.pdf 363.7 KB
  8 - 21 Hadoop Distributed File System English.srt 8.5 KB
  8 - 21 Hadoop Distributed File System.mp4 11.4 MB
  80 - 74 Column family in Hbase English.srt 4.4 KB
  80 - 74 Column family in Hbase.mp4 6.1 MB
  81 - 75 Storage of Column Family English.srt 3.3 KB
  81 - 75 Storage of Column Family.mp4 5.1 MB
  82 - 76 Data Model in HBase English.srt 4.2 KB
  82 - 76 Data Model in HBase.mp4 6.9 MB
  83 - 77 Timestamp as Versions English.srt 4.2 KB
  83 - 77 Timestamp as Versions.mp4 5.7 MB
  84 - 78 Getting Started with HBase Shell English.srt 4 KB
  84 - 78 Getting Started with HBase Shell.mp4 6.5 MB
  85 - 79 DDL in HBase part1 English.srt 8.4 KB
  85 - 79 DDL in HBase part1.mp4 14 MB
  86 - 710 DDL in HBase part2 English.srt 5.1 KB
  86 - 710 DDL in HBase part2.mp4 9.3 MB
  87 - 711 DDL in HBase part3 English.srt 6.1 KB
  87 - 711 DDL in HBase part3.mp4 11.5 MB
  88 - 712 DML in HBase English.srt 10.4 KB
  88 - 712 DML in HBase.mp4 19.1 MB
  9 - 22 HDFS Files and Blocks English.srt 8.1 KB
  9 - 22 HDFS Files and Blocks.mp4 12.6 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 182 total files

Description


Big Data Hadoop Developer Course With Handson
https://DevCourseWeb.com

Last updated 2/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.50 GB | Duration: 10h 48m

Learn HDFS, HIVE, HBASE, PIG, YARN, Advanced MapReduce concept 1, 2 and other important technologies

What you'll learn
Basics of Big Data
Detailed understanding of Big Data analytics
Master HDFS, MapReduce, Hive, Pig, HBase, Yarn
Requirements
Basics of UNIX
LINUX
Knowledge of Core Java
Basics of SQL
Description
This course on Big Data and Hadoop is curated by Hadoop industry experts, and it covers in-depth knowledge on Big Data and Hadoop Ecosystem Tools. It is a comprehensive Big Data Hadoop course designed by industry experts considering current industry job requirements to provide in-depth learning on big data and Hadoop Modules. This is an industry recognized Big Data Hadoop training course that is a combination of the training courses in Hadoop developer, Hadoop administrator, Hadoop testing, and analytics. This Hadoop training course will prepare you to clear big data certification.Why should you take Big Data Hadoop?Average Salary of Big Data Hadoop Developers is $135,000 (Indeed. com salary data)McKinsey predicts that by 2018 there will be a shortage of 1,500,000 data expertsThe Hadoop Big Data analytics market is projected to grow to USD 40.69 Billion by 2021 - MarketsandMarkets

Who this course is for
Programming Developers and System Administrators,Experienced working professionals,Business Intelligence, Data warehousing and Analytics Professionals,Project managers,Graduates, undergraduates eager to learn the latest Big Data technology

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