Hadoop for Java Developers | Upgrade from JAVA to Hadoop

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Slide 1 © 2015 BlueCamphor Technologies (P) Ltd. www.skillspeed.com BIG Data & Hadoop for Java Professionals

Transcript of Hadoop for Java Developers | Upgrade from JAVA to Hadoop

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BIG Data & Hadoop for Java Professionals

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Big Data Problem

Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications

Systems / Enterprises generate huge amount of data from Terabytes to and even Petabytes of information

It’s very difficult to manage such huge data……

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Introduction to Hadoop

Apache Hadoop is a framework that allows the distributed processing of large data sets across clusters of commodity computers using a simple programming model

It is an Open-source Data Management technology with scale-out storage and distributed processing

Hadoop Characteristics

Flexible

Reliable

Economical

Scalable Get Started with BIG Data & Hadoop

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Reports – 2015

Here are some of the other Reports that convey the same message:

ᗍ “It is expected that Hadoop and Big Data Analytics will grow to around $13.9 billion from 2012 to 2017.” (Markets and Markets Research Report)

ᗍ “The Data market currently with the fastest growth are Hadoop and NoSQL software and services.” (Technology Research Organization, Wikibon)

ᗍ “The Big Data market will likely hit $23.8 billion with a 31.7% rise per year.” (IDC Report)

ᗍ “Almost 90% organizations have embarked on Hadoop related projects and thus Hadoop skills are in huge demand.” (According to the Big Data Executive Survey 2013)

ᗍ “Companies hiring Hadoop professionals Analytics professionals in India obtain a 250 percent hike in their salaries.” (According to Analytics Industry Report)

Gartner had predicted, “Hadoop will be in most advanced analytics products by 2015.” By far and large, this prediction has turned out to be true. Hadoop is “The Technology” to harness Big Data

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Hadoop Prospects

Although, managing big data is tough, still it has opened up the door to new job opportunities…

ᗍ Hadoop Developer

ᗍ Hadoop Architects

ᗍ Hadoop Engineers

ᗍ Hadoop Application Developer

ᗍ Data Analytics

ᗍ Data Scientists

ᗍ Business Intelligence BI Architects

ᗍ Big Data Engineer

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Why Hadoop?

Hadoop is the hot – cake in the market because it

ᗍ Uses a simple programming model to process large data sets across clusters of computers

ᗍ Has become the standard for storing, processing and analyzing big data

ᗍ Is cheaper to use in comparison to other traditional proprietary technologies such as Oracle, IBM etc. [It can run on low cost commodity hardware]

ᗍ Has the ability to handle all types of data [from disparate systems] such as server logs, emails, sensor data, pictures, videos etc.

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Hadoop – Job Trends

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Why Java Professionals should Learn Hadoop?

ᗍ Hadoop helps in career progression for Java Professionals

ᗍ Hadoop gives you an edge as a Java professional

ᗍ Hadoop widens the opportunities for career growth for Java professionals

ᗍ Hadoop + Java can give you good packages

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Demand for Hadoop + Java Developers

Some of the best organizations prefer Java skills with Hadoop

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Salary Trend – Java Hadoop Developer

As of 1st week of January 2015, there is a snapshot of the number of jobs available for Hadoop Professionals:

Simplyhired.co.in: 4,500+Indeed.com: 1,900+Dice.com: 1,300+

Here is a glimpse of Salary Packages Offered to Hadoop Professionals in India:

Software Engineer: INR 4,52,000Senior Software Engineer: INR 7,37,000Lead Software Engineer: INR 12,70,000Technical Architect: INR 17,00,000

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Predictions

According to the Forrester Report:

ᗍ A new data economy will arise, Hadooponomics. Due to its vast data prowess, enterprise adoption of Hadoop will become compulsory. All those companies, which were unsure of adopting Hadoop till 2014, are bound to adopt it in 2015

ᗍ The surge in demand for Hadoop job professionals will be fulfilled by Java professionals & other software engineers who will upgrade their skills

ᗍ The creation of SQL-on-Hadoop options will further enhance usability & adoption

ᗍ Due to the introduction of Yarn (Version 2.0), the usage of Hadoop will go beyond analytics. It will transform into an application platform giving birth to new frameworks in the Hadoop ecosystem

ᗍ New Hadoop sources will emerge from organizations like Oracle, HP, Tibco and SAP. Vendors such as Red Hat, VMware and Microsoft will include Hadoop in their operating Systems

ᗍ So, 2015 seems to be very promising for Hadoop, even more so for Hadoop professionals

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Why SkillSpeed?

Course Curriculum

from Industry Experts

Instructor Led Live Virtual

Sessions

Lifetime access to Course

Content via LMS

100% Placement Assistance

24x7 Support

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Course Topics

Module 1

Introduction to Big Data and Hadoop

Module 2

HDFS Internals, Hadoop Configurations and

Data Loading

Module 3

Introduction to Map Reduce

Module 4

Advanced Map Reduce Concepts

Module 5

Introduction to Pig

Module 6

Advanced Pig and Introduction to Hive

Module 7

Advanced Hive Concepts

Module 8

Extending Hive and HBase Introduction

Module 9

Advanced HBase and Oozie Introduction

Module 10

Project Set-up Discussion

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Corporate Partners

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