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Complete Guide For Big Data Hadoop Training With Placement
- Globally Recognized Certificate
- Real Time Live Training sessions
- Corporate Trainers with 10+ Years Industry Experience
- Hands On Exposure on Real Time Projects
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- 3 Months Job support after completion of training
- Both Online and Offline trainings available
What is meant by Big Data Hadoop ?
- Hadoop is used in big data applications that have to merge and join data.
- Hadoop is an Apache open source software framework written in Java.
- Hadoop can handle virtually limitless concurrent tasks or jobs.
- Hadoop has extensive such as in financial service companies, retailers etc.
- Hadoop is a software ecosystem that allows massive parallel computing.
Who Can Do This Course ?
- Hadoop training can be done by Freshers, Job Seekers and Working Professionals
- No Prerequisite for Hadoop Training
- The course is strategically designed to suffice the requirement of current industry requirements
- Freshers will find the course easy to understand as every inch of basic knowledge is covered in it
- Experience people who are willing to learn new technologies will find the course very interesting as all topics are elaborated with live examples and real time assignments
Training Methodology
Big Data Hadoop Course Syllabus
Best-in-industry, strategically designed Course Content, Projects, Class Sessions to
accomplish the changing requirement of market
- Big Data and Hadoop
- Understanding Hadoop architecture and eco system
- Working with Hadoop Distributed File System (HDFS)
- Understanding Map Reduce concepts
- Understanding Hadoop API
- Writing Map Reduce programs in Java
- Understanding Hadoop programming best practices
- Building Hadoop application based on real-world example – architecture, design and coding
- What is Big data?
- Shift in Data and Analysis
- Challenges for Organizations
- Understanding the Data Characteristics
- Comparing Information Architecture Operational Paradigms.
- Why Hadoop?
- How Hadoop is helping industry?
- Introduction t
- Two major components of Hadoop – HDFS and Map Reduce
- List of tools and Software based Hadoop
- Environment Setup Up and introduction t
- Available learning resources on Web though different vendors.
- Distributed File System and Hadoop
- What Hadoop Distributed File System does?
- Assumption and Goals
- Key Features supported by HDFS
- HDFS Architecture – Master /Slave Architecture
- Name Node and Data Nodes
- The File System Namespace
- The Persistence of File System Metadata
- The Communication Protocols
- Data Organization in HDFS
- Accessibility
- Motivation for MapReduce (why)
- What is Map Reduce?
- Functional Abstractions Hide Parallelism
- How MapReduce Works- Master Slave Architecture
- Job Tracker and Task Tracker (in detail)
- MapReduce: The Map Step
- MapReduce: The Reduce Step
- How Map and Reduce Work Together along with other utilities provided by Apache Hadoop Specification
- Elementary Example Hands On: Counting Words
- Data Distribution
- Fault Tolerance
- Debugging
- Why NO-SQL?
- What is NO-SQL?
- From Relational DB t
- NO-SQL
- Relational DB v/s NO-SQL
- What makes NO –SQL a ‘big-hit?
- Four Major Variants of NO-SQL
- Key-Value Pair Data bases
- Mechanism behind Key-Value Pair
- Consistency and Performance of Key – Value Pair Data bases.
- Column- Oriented DBs
- How does it Colum oriented DB work?
- Architecture and mechanism
- Document Based DBs
- Characteristics and Mechanism of Document Based DBs
- Graph-Based DBs
- Characteristics and Mechanism of Graph-Based DBs
- When to choose what among these four types?
- HBase
- What is HBase?
- Why HBase? :Benefits
- Relational DB v/s HBase
- HBase : Data Model and Architecture
- File System for Hbase and HDFS
- ZooKeeper
- Syntax supported by HBase : Hands On
- Hive:
- Background
- Hive Components
- Data Model
- Metastore
- Hive: Example and Hands On
- Integration(Hive + Hbase):
- How it works?
- PIG
- Background
- Hive Components
- Data Model
- Metastore
- PIG : Example and Hands On
- Automating a business Process using Hadoop
To Enquire for Placement Related Queries
CALL 9035037886
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Highlights of Hadoop Training
Hadoop and Big Data
Distributed File System
MAP Reduce
Hadoop Eco System
NOT ONLY SQL
HBASE, HIVE & PIG
Project Deployment
Live Projects & Interview Preparation
Meet Our Industry Expert Trainers
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# Corporate Trainings
# 10+ Years of Industry Experience
# Study Materials Designed On Real Time Problems
# Excellent Communication
# Expert Interview Panel
# Corporate Trainings
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- course Duration
The focus is on In-Depth Practical Knowledge with a division of 30% Theory and 70% Practical sessions. Weekdays and weekend batches are available.
- Certified Trainers
We have best working professionals who are certified and have current industry knowledge to cater the needs of students.
- Placements
The program is focused to make a candidate get aware of industry requirement. Classes are followed with interview questions with are very important to crack an interview.
- Course Benefits
Covering up the course a person can easily crack an interview and can work on any real time projects as focus is more on practical training. An Industry Recognised Course Completion Certificate is a part of program.
- Course Highligts
Each topic is covered In-depth with Theory and Practical sessions. Training sessions are covered using Presentations followed by Assignments to enhance the knowledge of students.
- Internship programs
We have separate Internship Programs for Final Year students and Trainee Professionals which includes projects under Certified Trainer guidance . It also includes Internship Completion Certificate.
Internship Programs
- 6 Months Internship for Final - Year Students
- 3 Months Internship for First, Second and Third year students
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- Internship Program to get hands on experience
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Hadoop Training Batch Schedule
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Most frequent questions and answers
Ascent Software provides all necessary modes of training
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No worries. We at Ascent Software assures that a student should get full advantage of every session and if a class is missed that there is always a provision of backup class. We have different batches for the same course so the student is free to attend the same topic in any other batch within the stimulated course duration. If a student is unable to undersatnd certain topic then also the same process can be done.
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