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Big Data & Hadoop Developer Training course helps you learn the core techniques and concepts of Big Data and Hadoop. Learn architecture and concepts of HDFS, Hadoop Cluster setup, Map-Reduce, Hadoop 2.x and Hive to become leader in this field. The course is designed in a format that meets your convenience, availability and flexibility needs.
Why Learn Hadoop?
2.5 quintillion bytes of data is created every day. So much that 90% of the data in the world today has been created in the last two years alone (Source: IBM). These extremely large datasets are hard to deal with using legacy systems such as RDBMS as data exceed the storage and processing capacity of database. The legacy systems are becoming obsolete.
According to Gartner: “Big Data is new Oil”. Big Data is all about finding the needle of value in a haystack of Structured, Semi-structured and Un-structured data. Hadoop (the Solution of All Big Data Problems) has become the most important component in the data stack, which enables rapid processing of data at petabyte scale. Hadoop is expected to be at the core of more than half of all analytics software within the next two years.
The demand for Big Data developers is outpacing the global supply as Hadoop becomes the predominant platform for data management and analytics.
According to Mckinsey: “The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data.”
Gartner says “Big Data will create millions of jobs by 2016”
GE says “Big data is the future of industry”
IDC Says, “Big Data market will be growing 6 times faster than the overall IT market”
Experfy says, “Hadoop will grow at CAGR of 58%, will reach $50 billion by 2020″
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|Section 1: Deep Dive into Big Data|
Introduction to the CoursePreview
Big Data - The Biggest Buzz WordPreview
Introduction to Big Data
Understand 7 Vs of Big Data
Conventional Approach & Associated Problems
Big Data Use-cases - Real Life Case Studies
Future & Career in Big DataPreview
Big Data Material
|Section 2: Introduction to Hadoop|
Introduction to HadoopPreview
Basic Hadoop Architecture
Basics of HDFSPreview
Basics of MapReduce
Hadoop Characteristics and Design Principles
Different Hadoop Distributions
Understanding Hadoop Ecosystem
Hadoop Quiz - 1
Hadoop Quiz - 2
|Section 3: Installation and Configuration of Hadoop|
Step-1: Create Virtual Machine & Install Ubuntu
Step-2: Configure Prerequisites
Step-3: Configure and Install Hadoop
Hadoop Quiz - 3
|Section 4: Deploy Hadoop On Multi-node Cluster|
Step-1: Launch Instances on AWS
Step-2: Configure Prerequisites
Step-3: Deploy Hadoop
Hadoop Quiz - 5
|Section 5: Understanding HDFS|
Introduction to HDFS
Understand HDFS Nodes
Data Storage Mechanism in HDFS
HDFS Quiz - 1
HDFS Quiz - 2
HDFS Features - Part-1
HDFS Features - Part-2
HDFS Features - Part-3
HDFS Quiz - 3
HDFS Quiz - 4
HDFS - File Read Operation
HDFS - File Write Operation
HDFS Quiz - 5
|Section 6: Deep Dive into MapReduce|
Introduction to MapReduce
Understanding at High Level
MapReduce Daemons Insights
MapReduce Basic DataFlow
Understan MR Flow Using Wordcount Example
MapReduce Quiz - 1
Understand Wordcount Example using the Animation
Deep Dive into Mapper
Deep Dive into Reducer
Understand Map and Reduce Together
MapReduce Quiz - 2
Map Only Job
Comparision between RDBMS and Hadoop
Understand Data Locality
MapReduce Quiz - 3
MapReduce Quiz - 4
|Section 7: MapReduce Practicals|
Practical-1: Understand MapReduce Code
Practical-2: Create First Project
MapReduce Assignment - 1
Practical-4: Problem Statement
Practical-4: Understand Code Part-1
Practical-4: Understand Code Part-2
Practical-5: Problem Statement
Practical-5: Understand Code
MapReduce Quiz - 5
|Section 8: Deep Dive into Hive|
Introduction to Hive
Understing Hive Architecture
Hive Query Language
Hive Execution Flow
Hive Meta-store Layer
Schema on Read vs Schema on Write
Pros & Cons of Hive
Hive Workshop - 1
Hive Quiz - 1
Hive Quiz - 2
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We provide alternative learning platform, using a unique learning methodology of live online interactive courses along with 24x7 support. We aim to empower our customers with skills which will help them get an edge in their careers and improve their lives. With the use of technology, excellent instruction and flexible schedule we aim to become the largest and most engaging learning platform on earth. For more details visit: http://data-flair.training/