Big Data online training:
Hadoop Development Training course teaches experienced / knowledge peoples on purpose of Hadoop Technology, how to setup Hadoop Cluster, how to store BigData using Hadoop (HDFS) and how to process/analyze the BigData using Map-Reduce Programming or by using other Hadoop ecosystems.
Hadoop online training provides a solid foundation on HADOOP 11g step-by-step procedures for building and verifying the three layers of an Oracle BI repository and Reports and Migration and BI testing and PL/SQL Real-time scenarios.
HADOOP training provides a full range of business intelligence capabilities that allow you to:
- HADOOP Installation and Configuration
- All Components implementation
- Working with hive and Pig Real-time scenarios.
- Working on ETL Process in Hadoop.
- Working on Reporting Process in Hadoop.
- Migration from One instance to another instance
- HADOOP migrations
- HADOOP Administration concepts
- HADOOP Real-time issues trouble shooting and solution providers.
Hadoop course is designed for those certified professionals who are looking for Great career as Architect in Big Data analytics.
Bigdata online training
- What is Hadoop?
- History of Hadoop
- Building Blocks – Hadoop Eco-System
- Who is behind Hadoop?
- What Hadoop is good for and why it is Good
- Configuring HDFS
- Interacting With HDFS
- HDFS Permissions and Security
- Additional HDFS Tasks
- HDFS Overview and Architecture
- HDFS Installation
- Hadoop File System Shell
- File System Java API
- Map/Reduce Overview and Architecture
- Developing Map/Red Jobs
- Input and Output Formats
- Job Configuration
- Job Submission
- Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms )
- Configuring Hadoop API on Eclipse IDE
- Connecting Eclipse IDE to HDFS
- Custom Data Types
- Input Formats
- Output Formats
- Partitioning Data
- Reporting Custom Metrics
- Distributing Auxiliary Job Data
- Pig Overview
- Pig Latin
- Pig with HDFS
- Hive Overview
- Hive QL
- Hive Unstructured Data Analyzation
- Hive Semistructured Data Analyzation
- HBase Overview and Architecture
- HBase Installation
- HBase Shell
- CRUD operations
- Scanning and Batching
- HBase Key Design
- Zoo Keeper Overview
- Server Mantainace
- Sqoop Overview
- Imports and Exports
- Basic Setup
- Important Directories
- Selecting Machines
- Cluster Configurations
- Small Clusters: 2-10 Nodes
- Medium Clusters: 10-40 Nodes
- Large Clusters: Multiple Racks
- Distributed installations
- Best Practices
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Big Data Trainer Information:-
Hadoop Implementation Approaches.
- 12+ Years of Real-time Bigdata architect Experience in IT Industry
- Worked on ISBM certified professional with various Great MNC’s
- Real-time project oriented training with step-by-step Scenarios.
- Technical and functional and migrations and security design Documentation approaches
- Covering the Pre-requisites for learning Hadoop
- Completed 250+ coaching Assignment around 800 students
The Hadoop training contains all real time industry standards with multiple domains.
Highlights of Big data online training:-
HADOOP Real Time Project Support and Documentation:- HADOOP Real-time project support related design and migration and function setup documentation also teach under training
Interview Skills based on HADOOP:- Mark interview conducted on every week and provide more than 500+ interview questions by end of course
HADOOP Certification Support:-Providing HADOOP certified training, 50+ learner certified through RamJS Technologies in HADOOP technology.
HADOOP Resume Preparation: – Based on learner experience we helps him to show his confidence through resume. We will help you to prepare to shortlist resumes.
Small Training Batch:-One to one session will arrange by RamJS Technologies for learner comfortability.
HADOOP Practical Guidance:- Everyday tasks and practical exercises as homework