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Course overview
What will i learn?
Requirements
Curriculum for this course
24 Lessons
23:46:44 Hours
Hadoop big data
24 Lessons
23:46:44 Hours
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Hadoop Introduction
01:01:38
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Hadoop Features, Metadata , Checkpoint & Mapreduce
01:00:23
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MapReduce Continue Hadoop 1.X Practical & hadoop 2.X Architecture
01:00:16
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Name node HA Zookeeper & Hadoop Configuration Files
01:00:46
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Change of Block Size DISTCP Command & Hive Introduction
01:01:06
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Hive Theory Continues Hive Internal Table
01:00:47
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Hive External Table Hive Megastore Partition & Static Partition
00:59:46
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Hive Dynamic Partition Bucketing
00:45:00
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Hive Views Types of Joins & Indexing
00:54:37
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Sqoop Introduction Features Sqoop Import
00:58:37
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Sqoop Sqoop Export
00:59:03
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Sqoop Incremental Import
00:59:22
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Hbase Introduction Architecture Hbase Components & Hbase login
00:59:31
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Hbase Practicals Create Table and loading data into Hbase
01:00:09
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Pig Introduction & practical
01:00:56
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Pig Commands & practical
00:59:28
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Pig Type of Bags & practical
01:00:53
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Pig writing Pig Scripts
01:02:12
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Pig Joins Nested queries Operators & Practicals
01:00:30
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Pig Converting CSV file to Json and vice versa
01:01:07
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Mapreduce Introduction to Hadoop 1.X Map Shuffle reduce and wordcount example
01:00:50
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Mapreduce Combiner Partitioner and MapReduce Job Flow
00:57:58
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Mapreduce Work Count example executions & explanation
01:01:37
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Hadoop Yarn Scheduling Algorithm Speculative execution
01:00:12
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