Big Data with Hadoop Mini Self-Paced Course CloudxLab

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Big Data with Hadoop  Mini Self-Paced Course  CloudxLab
Apache Hadoop

Big Data with Hadoop Mini Self-Paced Course CloudxLab

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  1. 01 1. Course Overview 00:02:22
  2. 02 2.1. Big Data Introduction Data Variety 00:01:03
  3. 03 2.2. Big Data Introduction Distributed Systems 00:00:37
  4. 04 2.3. Big Data Introduction What is Big Data? 00:01:50
  5. 05 2.4. Big Data Introduction Why Do We Need Big Data Now? 00:02:57
  6. 06 2.5 Big Data Introduction Big Data Applications - Recommendations 00:02:01
  7. 07 2.6 Big Data Introduction Big Data Applications - A/B Testing 00:01:39
  8. 08 2.7 Big Data Introduction Big Data Customers 00:02:55
  9. 09 2.8. Big Data Introduction Big Data Solutions 00:00:52
  10. 10 2.9. Big Data Introduction What Is Apache Hadoop? 00:01:41
  11. 11 2.11. Big Data Introduction Overview Of Apache Hadoop Ecosystem 00:05:20
  12. 12 3.1. Lab Overview Introduction 00:01:03
  13. 13 4.1. Apache Zookeeper Race Condition 00:00:41
  14. 14 4.2. Apache Zookeeper Deadlock 00:00:29
  15. 15 4.3. Apache Zookeeper Coordination 00:01:10
  16. 16 4.4. Apache Zookeeper Introduction 00:00:47
  17. 17 4.5. Apache Zookeeper Hands-On - Getting Started 00:01:17
  18. 18 4.6. Apache Zookeeper Data Model 00:01:22
  19. 19 4.7. Apache Zookeeper Znode Types 00:01:42
  20. 20 4.8. Apache Zookeeper Hands-On - Znodes 00:03:26
  21. 21 4.8.1. Ambari Zookeeper - Establishing Server Connection 00:00:46
  22. 22 4.9. Apache Zookeeper Architecture 00:03:19
  23. 23 4.11. Apache Zookeeper Election & Majority 00:01:57
  24. 24 4.12. Apache Zookeeper Sessions 00:01:18
  25. 25 4.13. Apache Zookeeper Application 00:01:25
  26. 26 5.1. HDFS Why HDFS? 00:03:23
  27. 27 5.2. HDFS NameNode & DataNodes 00:01:55
  28. 28 5.3. HDFS Design & Limitations 00:02:34
  29. 29 5.4. HDFS Replication 00:02:57
  30. 30 5.5. HDFS File Reading 00:02:49
  31. 31 5.6. HDFS Namenode Backup & Failover 00:04:53
  32. 32 5.7. HDFS Hands-On with Ambari 00:00:59
  33. 33 5.8. HDFS Hands-On with Hue 00:01:14
  34. 34 6.1. YARN Why YARN? 00:02:48
  35. 35 6.2. YARN Evolution From MapReduce 1.0 00:03:28
  36. 36 6.3. YARN Architecture 00:03:26
  37. 37 7.1. Mapreduce Basics Understanding Sorting 00:02:02
  38. 38 7.2. Mapreduce Basics Overview 00:02:36
  39. 39 7.3. Mapreduce Basics Thinking In MR - Programatic & SQL 00:02:43
  40. 40 7.4. Mapreduce Basics Thinking In MR - Unix Pipeline 00:03:54
  41. 41 7.5. Mapreduce Basics Thinking In MR - External Sort 00:05:00
  42. 42 8.1. Mapreduce Programming Writing MapReduce Code Using Java 00:09:52
  43. 43 8.2. Mapreduce Programming Building MapReduce Project Using Apache Ant 00:08:11
  44. 44 8.3. Mapreduce Programming Writing MapReduce Code Using Eclipse 00:07:57
  45. 45 8.4. Mapreduce Programming Writing MapReduce Code Using Eclipse (Windows) 01:25:51
  46. 46 8.5. Mapreduce Programming Run MapReduce Jobs Using Hadoop Streaming 00:11:42
  47. 47 9.1. Pig Introduction 00:02:07
  48. 48 9.2. Pig Execution Modes 00:01:50
  49. 49 9.3. Pig Data Types 00:00:43
  50. 50 9.4. Pig Relational Operators - Load, Store And Dump 00:01:15
  51. 51 9.5. Pig Lazy Evaluation 00:00:44
  52. 52 10.1. Hive Introduction 00:03:08
  53. 53 10.2. Hive Data Types 00:02:41
  54. 54 10.3. Hive Getting Started - Hands-On 00:05:15
  55. 55 10.4. Hive Tables 00:01:01
  56. 56 10.5. Hive Managed Tables - Hands-On 00:08:05
  57. 57 10.6. Hive External Tables - Hands On 00:02:02
  58. 58 10.7. Hive Select And Aggregation Queries 00:01:31
  59. 59 10.8. Hive Saving Data 00:02:35
  60. 60 10.9. Hive DDL - Alter Table 00:01:14
  61. 61 11.1. Sqoop Introduction 00:00:43
  62. 62 11.2. Sqoop Sqoop Import - MySQL To HDFS 00:03:42
  63. 63 11.3. Sqoop Sqoop Import - MySQL To Hive 00:02:00
  64. 64 12.1. Flume Introduction 00:01:00
  65. 65 12.2. Flume Agents 00:01:57
  66. 66 12.3. Flume Sources & Delivery Reliability 00:01:03
  67. 67 12.4. Flume Hands-On Demo On CloudxLab 00:04:44
  68. 68 12.5. Flume Summary 00:00:17
  69. 69 13.1. Oozie Introduction 00:03:18
  70. 70 13.2. Oozie Running Sqoop Action Using Oozie From Hue 00:03:04
  71. 71 14.1. NoSQL Scaling Out / Up 00:01:19
  72. 72 14.2. NoSQL ACID Properties And RDBMS Story 00:04:19
  73. 73 14.3. NoSQL Types Of NoSQL Stores 00:03:06
  74. 74 14.4. NoSQL CAP Theorem 00:04:37
  75. 75 15.1. HBase Introduction 00:00:37
  76. 76 15.2. HBase Architecture 00:01:05
  77. 77 15.4. HBase Data Model 00:04:10
  78. 78 15.5. HBase Design Guidelines 00:01:26
  79. 79 15.6. HBase Data Model Example 00:04:08
  80. 80 15.7. HBase Hands On With Hue 00:02:44
  81. 81 15.8. HBase Hands-On With Console 00:03:04
  82. 82 15.9. HBase Data Location 00:01:06
  83. 83 15.11. HBase Bloom Filter 00:05:52
  84. 84 15.12. HBase REST 00:02:27
  85. 85 15.3. HBase Architecture - Regions 00:01:10

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