Big Data & Hadoop
About Course
Traditional Data storage techniques can’t store or process large volume of structured and unstructured Data sets. Those data are referred as Big Data. Hadoop on the other hand is a tool that is used to handle big data. It is an open-source framework manufactured by the Apache Software Foundation.
Affluenz IT Academy will emphasize on how to design distributed applications to manage “Big Data” using Hadoop. This will also detail how to use Pig and Spark to write scripts in order to process data sets on Hadoop cluster
Key Features
40 hours of instructor led online training
2 Live Industry Project
Certificate of completion
Dedicated awareness session from Industry experts
Questions On Your Mind About Our Courses
According to IDC, by 2020, organizations that can analyze all relevant data and deliver actionable information will earn $430 billion more than their less analytically oriented peers. As of today, there is a surplus demand for people who are Hadoop 2.0 certified
Affluenz IT Academy crafts this course to all who aspire to build a career in Big Data like Data Scientist, AI Engineer, Business Analyst, Information architect and so on. We recommend this course to
- Developers aspiring to be a data scientist or machine learning engineer
- Analytics managers who are leading a team of analysts
- Business analysts who want to understand data science techniques
- Information architects who want to gain expertise in machine learning algorithms
- Analytics professionals who want to work in machine learning or artificial intelligence
- Graduates looking to build a career in data science and machine learning
- Experienced professionals who would like to harness machine learning in their fields to get more insights
Participants in this online course should have:
- Basic understanding on Data structure and Data Science
- Basics of statistics and mathematics
Our Syllabus
4 Weeks Course
- What is Big Data
- Big Data Learning Techniques
- 5C Architecture – connection, conversion, cyber cognition and configuration
Basics of Hadoop
Hadoop Ecosystem
2.x Core Components
Hadoop Storage: HDFS (Hadoop Distributed File System)
Hadoop Processing: MapReduce Framework
Hadoop 2.x Cluster Architecture
Federation and High Availability Architecture
Typical Production Hadoop Cluster
Hadoop Cluster Modes
Common Hadoop Shell Commands
Assessment
Live Project
Certification of Completion
Review and Feedback
8 Weeks Course
- What is Big Data
- Big Data Learning Techniques
- 5C Architecture – connection, conversion, cyber cognition and configuration
Basics of Hadoop
Hadoop Ecosystem
2.x Core Components
Hadoop Storage: HDFS (Hadoop Distributed File System)
Hadoop Processing: MapReduce Framework
Hadoop 2.x Cluster Architecture
Federation and High Availability Architecture
Typical Production Hadoop Cluster
Hadoop Cluster Modes
Common Hadoop Shell Commands
Hadoop 2.x Configuration Files
Single Node Cluster & Multi-Node Cluster set up
Basic Hadoop Administration
Traditional way vs MapReduce way
Why MapReduce
YARN Components
YARN Architecture
YARN MapReduce Application Execution Flow
YARN Workflow
Anatomy of MapReduce Program
Input Splits, Relation between Input Splits and HDFS Blocks
MapReduce: Combiner & Partitioner
Demo of Health Care Dataset
Demo of Weather Dataset
Assessment
Live Project
Certification of Completion
Internship Certificate
Review and Feedback
Pricing
Online Classroom with virtual Internship
- 3 Weeks course
- 1 Week Live Project Internship
- Certificate of completion
- Certficate of Internship
Online Classroom with Live Project Internship
- 6 Weeks course
- 2 Weeks Corporate Internship
- Certificate of completion
- Certficate of Internship