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