Bigdata Hadoop Developer Training in Bangalore : 9916229967 /9740342454
Overview :- Learn how to use Hadoop from beginner level to advanced techniques which is taught by experienced working professionals. With our Hadoop Training in Bangalore you'll learn concepts in expert level with practical manner. Gaining in-depth knowledge on core ideas through the course and executing it on wide-ranging industry use-cases. Get to work on Real Life Project on Industry standards. Get Advanced Level Big Data Hadoop Training & Certification by Vensys IT Services Pvt.Ltd.
Become an expert in Hadoop by acquiring knowledge on MapReduce, Hadoop architecture, Pig & Hive, Oozier. Also, get familiar with Hbase, Sqoop concepts, while working on industry-based, use-cases and projects.
Prerequisites : -- Basic Unix Commands
- Core Java (OOPS Concepts, Collections , Exceptions ) - For Map-Reduce Programming
- SQL Query knowledge - For Hive Queries
- Any Linux flavor OS (Ex: Ubuntu/Cent OS/Fedora/RedHat Linux) with 4 GB RAM (minimum), 100 GB HDD
- Java 1.6+
- Open-SSH server & client
- MYSQL Database
- Eclipse IDE
- VM Ware (To use Linux OS along with Windows OS)
bigdata hadoop Development Training Objectives :-
All Participant will learn to:
- What Big Data is?
- How Big Data creates several new types of analytical workload
- Big Data technology platforms beyond the data warehouse
- Big Data analytical techniques and front-end tools
- How to analyse un-modelled, multi-structured data using Hadoop, MapReduce & Spark
- How to integrate Big Data with traditional data warehouses and BI systems
- How to clearly understand business use cases for different Big Data technologies
- How to set up and organise Big Data projects including skills
- How to make use of Big Data to deliver business value
Course outline
Module 1: Introduction to bigdata hadoop
- Introduction to big data
- What is BigData
- How much data - Data Scaling
- How it is different
- How data becomes BigData
- BigData Sources
- Characteristics of BigData
- Types of BigData
- Applications of BigData
- Analytics of BigData
- Risks of BigData
- Benefits of BigData
- BigData impact on Market
- Future of BigData
Module 2: Hadoop
- Introduction to Hadoop
- Hadoop History and origin
- What is hadoop used for ?
- Why hadoop
- Scalability
- Vertical Scaling
- Horizontal Scaling
- Hadoop Distributions
- Users of Hadoop
- How hadoop useful for organizations
- Hadoop Ecosystem Overview
- Hadoop Architecture
- Hadoop Daemons
- Master Daemons ( Namenode,JobTracker, Secondary Namenode)
- Slave Daemons ( Data Node,TaskTracker)
- Daemons Architecture
- Roles ‐‐‐ Hadoop Daemons
- Installing Cloudera _ Hadoop
Module 3: HDFS (Hadoop Distributed File System
- Introduction to HDFS
- Traditional File System VS HDFS
- Design Principles
- HDFS Architecture
- Cluster Architecture and Block
- Placement Replication and its Strategy
- HDFS Commands
Module 4: MongoDB
- What is MongoDB?
- Where to Use?
- Configuration On Windows
- Inserting the data into MongoDB?
- Reading the MongoDB data
Module 5: MapReduce
- Introduction to MapReduce
- Stages Of MapReduce
- Design Of MapReduce
- MapReduce Lifecycle
- Mapper
- Reducer
- Developing Variety of MapReduce
- Programs using Eclipse in java
- programming language
- Custom Partitioner
- Combiner
- Custom Record Reader
Module 6: Advanced MapReduce
- More Topics related to MapReduce
- Running MapReduce Programs in OOZIE
- Input Formats
- Counters
Module 7: PIG
- PIG vs. MapReduce
- PIG components
- PIG execution
- PIG Data types
- PIG Architecture
- PIG Latin Relational Operators
- PIG Latin Join and CoGroup
- PIG Latin Group and Union
- Describe, Explain, Illustrate
- PIG Latin: File Loaders
Module 8: UNDERSTANDING APACH Flume
- Flume-How Flume works
- Import/Export Data
- Flume Architecture
Module 9: Cloudera Manager
- Cloudera Manager Overview
- Cloudera Manager Services
Module 10: HIVE
- Intrductin & Installation
- Datatypes in Hive
- Cmmands in Hive
- Internal Tables & External Tables
- Partitions
- Static
- Dynamic
- Bucketing
- UDF's in Hive
- Jins in Hive
- Serde's
- Miscellaneus Commands
- Running Hive in oozie
Module 11: APACHE HBASE & NOSQL Databases
- Introduction to NoSQL
- RDBMS vs NoSQL
- Analytical (OLAP)
- When/Why to use HBase
- HBase Architecture/Storage HBase Features
- HBase Data Model HBase Families
- HBase Master
- HBase vs RDBMS
- Column Families
- Access HBase Data HBase API
- Runtime modes
- Running HBase
Module 12: SQOOP
- Introduction & Installation
- Overview
- Import Data from RDBMS to HDFS
- Parallelism
- Import Data from RDBMS to HIVE
- Real Time Use Cases
- Partitions
- Static
- Dynamic
- Bucketing
Module 13: OOZIE
- Oozie Introduction & Overview
- Running MapReduce with OOZIE
- Running Pig Jobs with OOZIE
- Multiple actions of a workflow
- Scheduling TimeBased Jobs
- Email Notifications when Job Triggers
Module 14: HUE
- Introduction To Hue
- Hue Architecture
- Running Jobs through Hive
Module 15: Data Visualization
- End‐End flow from Extraction to Visualization
- Visualization in Tableau
After Completion of the Course:
- In depth coverage of all the topics
- Unlimited practical facility
- Flexible batch timings
- Study material provided
- Lab Manuals provided
- 24/7 Lab access
- Interview Guidance
- Mock Tests conducted
- Mock Interviews
- Resume Preparation as per the standards
- Guidance for bigdata hadoop Certification Exams
- MNC Reference provided
Venue Address:
Vensys IT Services Pvt. Ltd
#45/1, 45/2, S.P Mansion, 3rd Floor
Bangalore
Landmark: Next to FBB
Email: venkat.ramavath@gmail.com
Phone: +91 9916229967
We offer a range of corporate training services. If you wish to know more, do write to us we will reach you at the earliest!
