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BIG DATA HADOOP
EITS's  Big Data Hadoop course is designed to give you a competitive edge in the ever-evolving IT job market. The intensive 62+ hour training program will provide learners with an in-depth knowledge of the Big Data framework using Hadoop and its ecosystem, and explore various applications and tools to process and analyse large volumes of data. Master one of the most in-demand skills with industry experts and practice working on outcome-oriented, industry grade projects on cloud labs. Upon completing the course Learners will have an expert understanding of Big Data Hadoop and its ecosystem. Upon completing the online Hadoop training, learners will be able to process data by applying various algorithms, data processing, data mining and other related techniques on various kind of data sets ensuring effectiveness and optimization for the analyzed set of data that helps in taking informed decisions.
LEARNING OUTCOMES
In-depth knowledge of Big Data and Hadoop & its ecosystem
Master real-time data processing using various tools
Become expert in working on data, and managing data resources
Become functional programmer implementing various applications to ensure effective data processing and optimization techniques are in place
Expert knowledge to apply interactive algorithms and work on data forms
Exhibit capability to ingest and analyze large data-sets
Recommend solutions based on analysis done
WHY SHOULD YOU LEARN BIG DATA HADOOP?
Hadoop took over the Big data ecosystem by storm in 2012. Enterprises are now looking to leverage the big data environment require Big Data Architect who can design and build large-scale development and deployment of Hadoop applications. Market research has indicated that the market for Hadoop in big data environment will grow at a CAGR off 58% and will be worth $1 BN by 2022. Hadoop essentially has become synonymous with Big data ecosystem as it incorporates a multitude of open-source tools that enable highly scalable and distributed computing, creating a huge demand for professionals who have mastered Hadoop.
WHAT YOU WILL LEARN IN BIG DATA HADOOP
1. Introduction to Big Data
Data Growth 
Data Challenges(4V)
Why Big Data and What is Big Data

2. Introduction to Hadoop
Hadoop Architecture Overview 
White papers by Google
Challenges in Handling Big Data
Challenges of parallel computing


3. Hadoop Architecture Deep Dive
HDFS 
Namenode
Metadata(Persistent & Non-Persistent)
Data Blocks & Data Nodes
Master Slave Architecture in HDFS

4. Mapreduce Framework
What is Map & Reduce(Key Value Pairs) 
Why 2 phases
Intermediate phases between Map and Reduce(Shuffle & Sort, Copy)
Hadoop Job Running Flow sequence

5. Fault Tolerance
In HDFS 
In MapReduce
Hadoop in MultiRack Scenario

6. YARN
Resource Manager 
Node Manager
Job Flow Sequence Revisited

7. Hadoop Installation
Linux Primer 
Ubuntu Primer
Downloading Installing Apache Hadoop All In One configuration
HDFS commands
Mapreduce Program Execution
Exploring HDFS blocks & Meta Data

8. MapReduce Programming in Java
Building a Recommendation Engine Program: 
Record Reader
Partitioner
Combiner
Map & Reduce Parts of program
Building a Sentiment Analysis Engine
Choosing the Key & Value, Aggregation
Reading 2nd file for reading the score

9. Hadoop MultiNode Installation
Creating a 3 Node Cluster of Hadoop(1 Master, 2 Slaves) 
Performance Tuning Options in Hadoop
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