Hadoop Online Training
Hadoop Online Training
Hadoop Online Training
Hadoop Online Training Course Content :
Hadoop Architecture
- What is Big Data
- Hadoop Architecture
- Hadoop ecosystem components
- Hadoop Storage: HDFS
- Hadoop Processing: MapReduce Framework
- Hadoop Server Roles: NameNode, Secondary Name Node and DataNode,
- Anatomy of File Write and Read.
Hadoop Cluster Configuration and Data Loading
- Hadoop Cluster Architecture
- Hadoop Cluster Configuration files
- Hadoop Cluster Modes
- Multi-Node Hadoop Cluster
- A Typical Production Hadoop Cluster
- MapReduce Job execution
- Common Hadoop Shell commands
- Data Loading Techniques: FLUME, SQOOP, Hadoop Copy Commands
Hadoop MapReduce framework
- Hadoop Data Types
- Hadoop MapReduce paradigm
- Map and Reduce tasks
- MapReduce Execution Framework
- Partitioners and Combiners
- Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs)
- Output Formats (TextOutput, BinaryOutPut, Multiple Output)
Advance MapReduce
- Counters
- Custom Writables
- Unit Testing: JUnit and MRUnit testing framework
- Error Handling
- Tuning
- Advance MapReduce
Pig and Pig Latin
- Installing and Running Pig
- Grunt
- Pig’s Data Model
- Pig Latin
- Developing & Testing Pig Latin Scripts
- Writing Evaluation
- Filter
- Load & Store Functions
Hive and HiveQL
- Hive Architecture and Installation
- Comparison with Traditional Database
- HiveQL: Data Types
- Operators and Functions
- Hive Tables (Managed Tables and External Tables, Partitions and Buckets, Storage Formats, Importing Data, Altering Tables, Dropping Tables)
- Querying Data (Sorting And Aggregating, Map Reduce Scripts, Joins & Subqueries, Views, Map and Reduce side Joins to optimize Query).
Advance Hive, NoSQL Databases and HBase
- Hive: Data manipulation with Hive
- User Defined Functions
- Appending Data into existing Hive Table
- Custom Map/Reduce in Hive
- Hadoop Project: Hive Scripting
- HBase: Introduction to HBase
- Client API’s and their features
- Available Client
- HBase Architecture
- MapReduce Integration.
Advance HBase and ZooKeeper
- HBase: Advanced Usage
- Schema Design
- Advance Indexing
- Coprocessors
Hadoop 2.0, MRv2 and YARN
- Schedulers :Fair and Capacity
- Hadoop 2.0 New Features: NameNode High Availability
- HDFS Federation
- MRv2
- YARN
- Running MRv1 in YARN
- Upgrade your existing MRv1 code to MRv2
- Programming in YARN framework.