| Session No. | Topic |
| 1 | Hadoop Foundation |
| Linux: File Handling, | |
| Text Processing, System Administration, | |
| Process Management, | |
| File Systems, | |
| Advanced Commands. | |
| 2 | Java: Introduction |
| Oops concept | |
| Object-Class-Inheritance-Polymorphism-Abstraction-Encapsulation | |
| 3 | String and String Methods |
| Exception Handling | |
| 4 | Collections:(List Map Set) |
| Iterator interface, | |
| List | |
| Map | |
| Set | |
| 5 | Serialization , Deserialization. |
| 6 | Hadoop Cluster Administration |
| Introduction to Big Data, Hadoop Architecture, MapReduce Framework, | |
| A typical Hadoop Cluster, Data Loading into HDFS, Hadoop Cluster Administrator, | |
| Roles and Responsibilities | |
| 7 | Hadoop Architecture and Cluster setup |
| Hadoop server roles and their usage, Rack Awareness, Anatomy of Write and | |
| Read, Replication Pipeline, Data Processing, Hadoop Installation and Initial | |
| Configuration, Deploying Hadoop in pseudo-distributed mode, deploying | |
| a multinode Hadoop cluster, Installing Hadoop Clients | |
| 8 | Hadoop Cluster: Planning and Managing |
| Planning the Hadoop Cluster, Cluster Size, Hardware and Software | |
| considerations, Managing and Scheduling Jobs, types of schedulers in Hadoop, | |
| Configuring the schedulers and run MapReduce jobs, Cluster Monitoring and | |
| Troubleshooting. | |
| 9 | Backup, Recovery and Maintenance |
| Configure Rack awareness, Setting up Hadoop Backup | |
| data nodes in a cluster, setup quota's, upgrade Hadoop cluster, copy data across | |
| clusters , Commissioning and Decommisisioning Data Nodes | |
| 10 | Advanced Topics: High Availability and Federation |
| Configuring Secondary NameNode, Hadoop 1.0, YARN framework, MR, | |
| Cluster setup, Deploying Hadoop 1.0 in pseudo-distributed mode, | |
| Deploying a multi-node Hadoop 2.0 cluster. | |
| 11 | Hadoop Implementation |
| Installation in Hadoop in Distributed Mode | |
| Implementation Modes and running in Distributed mode | |
| 12 | Hadoop MapReduce Framework |
| MapReduce Use Cases, Traditional way Vs MapReduce way, Why | |
| MapReduce, Hadoop 1.x MapReduce Architecture, Hadoop 1.x MapReduce | |
| Components, YARN MR Application Execution Flow, YARN Workflow, Anatomy of | |
| MapReduce Program. | |
| 13 | Input Splits, Relation between Input Splits and HDFS Blocks, MapReduce Job |
| Submission Flow, MapReduce: Combiner & Partitioner | |
| Counters, Distributed Cache, MRunit, Reduce Join, Custom Input Format, | |
| Sequence Input Format. | |
| 14 | Pig |
| About Pig, MapReduce Vs Pig, Pig Use Cases, Programming Structure in Pig, | |
| Pig Running Modes, Pig components, Pig Execution, Pig Latin Program, Data | |
| Models in Pig, Pig Data Types-primitive and Scalar. | |
| Pig Latin : Arithmetic Operators ,Boolean Operators, Cast Operators, Comparison | |
| Operators , Type Construction Operators ,Dereference Operators ,Disambiguate | |
| Operator Flatten Operator , | |
| 15 | File and Storage Functions, Group Operator, cogroup |
| Operator, Joins and COGROUP, Union | |
| Advance PigLatin: Processing Unstructured data in Pig - Word Count Example, | |
| 16 | Hive |
| Hive Background, Hive Use Case, About Hive, Hive Vs Pig, Hive Architecture | |
| and Components, Metastore in Hive, Limitations of Hive, Comparison with | |
| Traditional Database, Hive Data Types and Data Models | |
| 17 | Hive QL: DML:Hive Tables, Types of Tables(Managed Tables and External Tables), |
| Importing Data, Loading Data in to Hive, Insert Data in from Hive Queries, | |
| Export Data, Querying Data, Managing Outputs, Hive Scripts. | |
| 18 | Advanced Hive QL: DynamicPartitioning, Adding Partition on External Table, |
| Bucketing, Views, Indexing, File Formats in Hive | |
| Sampling, | |
| 19 | BlockSampling, Joins In Hive, Join Optimization, Bucket Optimization, |
| Custom User Defined Functions. | |
| 20 | Introduction to No SQL Databases |
| Introduction to NoSQL Databases and HBase, HBase v/s RDBMS, HBase Components, | |
| HBase Architecture, HBase Cluster Deployment. | |
| 21 | HBase Data Model, HBase Shell, HBase Client |
| API, Data Loading Techniques. | |
| 22 | Overview on Hadoop Eco System Tools |
| Sqoop Components workflow | |
| 23 | Flume Components workflow |
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