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Introduction To Hadoop 11
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What is Enterprise BIGDATA 30 minLecture1.1
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What is Hadoop? 30 minLecture1.2
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History of Hadoop 30 minLecture1.3
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Hadoop Eco-System 30 minLecture1.4
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Hadoop Framework 30 minLecture1.5
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Hadoop Framework 30 minLecture1.6
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Hadoop vs RDBMS 30 minLecture1.7
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Hadoop vs SAP Hana vs Teradata 30 minLecture1.8
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How ETL tools works in Hadoop 30 minLecture1.9
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Hadoop Requirements and supported versions 30 minLecture1.10
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Case Studies: Hadoop and Hive at Yahoo, Face book etc… 30 minLecture1.11
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Hadoop Distributed File Systems 9
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Installation of Ubuntu 13.04 30 minLecture2.1
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Basic Unix Commands 30 minLecture2.2
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Hadoop Commands 30 minLecture2.3
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HDFS & Job Tracker Access URLs & ports. 30 minLecture2.4
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HDFS design 30 minLecture2.5
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Hadoop file systems 30 minLecture2.6
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Master and Slave node architecture 30 minLecture2.7
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Filesystem API – Java 30 minLecture2.8
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Serialization in Hadoop – Reading and writing data from/to Hadoop URL 30 minLecture2.9
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Administering Hadoop 16
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Cluster specification 30 minLecture3.1
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Hadoop cluster setup and installation 30 minLecture3.2
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Standalone 30 minLecture3.3
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Pseudo-distributed mode 30 minLecture3.4
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Fully distributed mode 30 minLecture3.5
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fs, fsck, distcp, archive 30 minLecture3.6
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dfsadmin, balancer, jobtracker, tasktracker, namenode 30 minLecture3.7
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Step-by-step multi-node installation 30 minLecture3.8
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Hadoop Configuration 30 minLecture3.9
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Namenode and datanode directory structure 30 minLecture3.10
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User commands 30 minLecture3.11
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Administration commands 30 minLecture3.12
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Monitoring 30 minLecture3.13
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Benchmarking a Hadoop cluster 30 minLecture3.14
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Output Formats 30 minLecture3.15
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Benchmarking a Hadoop cluster 30 minLecture3.16
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Map reduce 30
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Map/Reduce Overview and Architecture 30 minLecture4.1
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Developing Map/Red Jobs 30 minLecture4.2
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Map reduce Data types 30 minLecture4.3
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Custom Data Types/Writables 30 minLecture4.4
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Input File Formats 30 minLecture4.5
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Text Input File Format 30 minLecture4.6
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Zip File Input Format 30 minLecture4.7
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LZO Compression & LZO Input Format 30 minLecture4.8
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XML Input Format 30 minLecture4.9
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JSON Input Format 30 minLecture4.10
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Packaging, Launching, Debugging jobs 30 minLecture4.11
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Packaging, Launching, Debugging jobs 30 minLecture4.12
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Hash Partitioner 30 minLecture4.13
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Custom Partitioner 30 minLecture4.14
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Capacity Scheduler 30 minLecture4.15
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Fair Scheduler 30 minLecture4.16
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Job Configuration 30 minLecture4.17
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Job Submission 30 minLecture4.18
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Mapreduce workflows 30 minLecture4.19
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Practicing Map Reduce Programs 30 minLecture4.20
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Combiner 30 minLecture4.21
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Partitioner 30 minLecture4.22
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Search 30 minLecture4.23
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Sorting 30 minLecture4.24
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Secondary Sorting 30 minLecture4.25
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Distributed Cache 30 minLecture4.26
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Chain Mapping/Reducing 30 minLecture4.27
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Scheduling 30 minLecture4.28
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One Example for Each Concept 30 minLecture4.29
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Practical Examples execution on Local, HDFS and Using Eclipse Plug-in too. 30 minLecture4.30
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HIVE 19
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Hive concepts Hive installation Hive Tables 30 minLecture5.1
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Hive installation 30 minLecture5.2
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Hive configuration, hive services & metastore 30 minLecture5.3
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Hive datatypes – primitive and complex types 30 minLecture5.4
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Hive operators 30 minLecture5.5
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Hive Builtin functions 30 minLecture5.6
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Hive Tables 30 minLecture5.7
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creating tables 30 minLecture5.8
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External Table 30 minLecture5.9
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Internal Table 30 minLecture5.10
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Partitions and buckets 30 minLecture5.11
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Browsing tables and partitions 30 minLecture5.12
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Storage formats 30 minLecture5.13
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Loading data 30 minLecture5.14
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Joins 30 minLecture5.15
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Aggregations and sorting 30 minLecture5.16
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Insert into local files 30 minLecture5.17
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Altering, dropping tables 30 minLecture5.18
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Importing data 30 minLecture5.19
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PIG 14
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Why pig 30 minLecture6.1
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Pig and Pig latin 30 minLecture6.2
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Pig installation 30 minLecture6.3
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Pig latin command 30 minLecture6.4
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Pig latin relational operators 30 minLecture6.5
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Pig latin diagnostic operators 30 minLecture6.6
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Data types and Expressions 30 minLecture6.7
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Builtin functions 30 minLecture6.8
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Data processing in pig 30 minLecture6.9
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load and store 30 minLecture6.10
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Filtering the data 30 minLecture6.11
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Grouping the data 30 minLecture6.12
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Joining the data 30 minLecture6.13
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Sorting the data 30 minLecture6.14
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Sqoop 6
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Sqoop installation 30 minLecture7.1
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Sqoop commands 30 minLecture7.2
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Sqoop connectors 30 minLecture7.3
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Importing the data from mysql 30 minLecture7.4
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Exporting the data 30 minLecture7.5
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Creating hive tables by importing data 30 minLecture7.6
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HBase 7
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HBase Introduction. 30 minLecture8.1
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HBase Installation 30 minLecture8.2
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HBase Architecture 30 minLecture8.3
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Zoo Keeper 30 minLecture8.4
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Keys & Column families 30 minLecture8.5
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Integration with MapReduce 30 minLecture8.6
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Integration with Hive 30 minLecture8.7
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Other Miscellaneous Topics 10
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Hue 30 minLecture9.1
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Impala 30 minLecture9.2
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Hadoop Streaming 30 minLecture9.3
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Storm – Real Time Hadoop 30 minLecture9.4
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Eclipse Plugins 30 minLecture9.5
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Cloudera Hadoop Installation 30 minLecture9.6
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Cloudera Administration 30 minLecture9.7
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Hiho ecosystem 30 minLecture9.8
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Flume ecosystem 30 minLecture9.9
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Reporting Tools Introduction 30 minLecture9.10
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