Hadoop is an open-source software framework for storing and processing big data in a distributed fashion on large clusters of commodity hardware. Browse through the contents of the program.
| HADOOP Course Contents |
| Virtual Box/VM Ware |
| Basics |
| Installations |
| Backups |
| Snapshots |
| ClouderaVM |
| Installations |
| Hadoop |
| Why Hadoop |
| Scaling |
| Distributed Framework |
| Hadoop v/s RDBMS |
| Brief history of Hadoop |
| Problems with traditional large-scale systems |
| Requirements for a new approach |
| Anatomy of a Hadoop cluster |
| Other Hadoop Ecosystem components |
| Setup Hadoop |
| Pseudo mode |
| Cluster mode |
| Installation of Java |
| Hadoop |
| Configurations of Hadoop |
| Hadoop Processes ( NN, SNN, JT, DN, TT) |
| Temporary directory |
| UI |
| Common errors when running Hadoop cluster |
| Solutions |
| HDFS- Hadoop Distributed File System- |
| HDFS design and architecture |
| HDFS concepts |
| Interacting HDFS using command line |
| Dataflow |
| Blocks |
| Replica |
| Hadoop Processes |
| Name node |
| Secondary name node |
| Job tracker |
| Task tracker |
| Data node |
| Developing MapReduce application |
| Phases in MapReduce framework |
| MapReduce input and output formats |
| Advanced concepts, |
| Sample applications |
| Combiner |
| Writing a MapReduce Program |
| The MapReduce flow |
| Examining a sample MapReduce program, |
| Basic MapReduce API concepts |
| Driver code |
| Mapper |
| Reducer |
| Hadoop’s streaming API |
| Using Eclipse for rapid development |
| Hands-on exercise |
| New MapReduce API |
| Common MapReduce Algorithms |
| Sorting and Searching, Indexing |
| Term Frequency – Inverse Document Frequency |
| Word Co-occurrence |
| Hands-on exercise |
| Writing advance map reduce programs |
| Building multivalue writable data |
| Accessing and using counters |
| Partitioner - Hashpartitioner |
| Hands on Exercises |
| Hadoop Programming Languages |
| HIVE: Introduction |
| Installation |
| Configuration |
| Interacting HDFS using HIVE |
| MapReduce programs through HIVE |
| HIVE commands |
| Loading, Filtering |
| Grouping |
| Data types |
| Operators |
| Joins |
| Groups |
| Sample programs in HIVE |
| PIG: Basics |
| Configuration |
| Commands |
| Loading |
| Filtering |
| Grouping, |
| Data types |
| Operators |
| Joins |
| Groups |
| Sample programs in PIG |
| HBase |
| What is HBase |
| HBase architecture |
| HBase API |
| Managing large data sets with HBase |
| Using HBase in Hadoop applications |
| Integrating Hadoop into the Enterprise Workflow |
| Integrating Hadoop into an Existing Enterprise |
| Loading Data from an RDBMS into HDFS by Using Sqoop |
| Managing Real-Time Data Using Flume |
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