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This is a short video presentation for Java Developers & Java Professionals who want to upgrade their career path to Hadoop & BIG Data.
The agenda for this session is as follows:
✓ What is BIG Data?
✓ What is Hadoop? Why is it so popular?
✓ Java to Hadoop - Career Path
✓ Java to Hadoop - Salary & Job Trends
✓ Java to Hadoop - Hiring Companies
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What is BIG Data & Hadoop?
Big Data refers to the vast amounts of unstructured data generated in todays internet driven world which cannot be tapped, manipulated and utilized via traditional data harness tools.
Apache Hadoop is an open-source JAVA based framework which is used to harness & process BIG Data sets. It facilitates distributed parallel processing via cluster nodes to ensure a secure, scalabe & accurate data service solution. The framework consists of Hadoop Distributed File System (HDFS), Hive, Sqoop, Flume, Hbase, Pig, Yarn & ZooKeeper.
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Hadoop for Java Developers - Hadoop for Java Professionals
The top reasons for developers to shift from Java to Hadoop are:
1. Increase in Salary
Today, Hadoop & BIG Data are the most sought after skills in the technology market. This is due to the high demand for this service from organizations across the world. Java Developers who upgrade to Hadoop can expect a minimum salary hike of 30% to 50% depending of past experience.
2. Scope of Work
As BIG Data services are required across verticals to solve real-world problems, developers get to work on various sections including healthcare, finance and logistics. Instead of coding away in a corner, you actually get a shot at problem-solving and a fulfilling work-life.
3. Solid Foundation
Do you want to get into Business Intelligence? Or, become a Data Scientist? Maybe even jump onto the IOT band-wagon? In this scenario, a foundation in BIG Data & Hadoop will hold you in extremely good stead. Data is the foundation of decisions, which results in intelligence & insights.
Today, companies such as Amazon, Google, Apple, Flipkart, Tesco, Walmart, IBM and TCS are hiring Hadoop Developers. You could be one of those.
Now, are those not compelling reasons to upgrade from Java to Hadoop? :)
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