Power of Hadoop

Apache Hadoop is an open source software project based on JAVA. Basically it is a framework that is used to run applications on large clustered hardware (servers). It is designed to scale up from a single server to thousands of machines, with a very high degree of fault tolerance. Rather than relying on high-end hardware, the reliability of these clusters comes from the software's ability to detect and handle failures of its own.

Credit for creating Hadoop goes to Doug Cutting and Michael J. Cafarella. Doug a Yahoo employee found it apt to rename it after his son's toy elephant "Hadoop". Originally it was developed to support distribution for the Nutch search engine project to sort out large amount of indexes.

In a layman's term Hadoop is a way in which applications can handle large amount of data using large amount of servers. First Google created Map-reduce to work on large data indexing and then Yahoo! created Hadoop to implement the Map Reduce Function for its own use.

Map Reduce: The Task Tracker- Framework that understands and assigns work to the nodes in a cluster. Application has small divisions of work, and each work can be assigned on different nodes in a cluster. It is designed in such a way that any failure can automatically be taken care by the framework itself.

HDFS- Hadoop Distributed File System. It is a large scale file system that spans all the nodes in a Hadoop cluster for data storage. It links together the file systems on many local nodes to make them into one big file system. HDFS assumes nodes will fail, so it achieves reliability by replicating data across multiple nodes.

Big Data being the talk of the modern IT world, Hadoop shows the path to utilize the big data. It makes the analytics much easier considering the terabytes of Data. Hadoop framework already has some big users to boast of like IBM, Google, Yahoo!, Facebook, Amazon, Foursquare, EBay etc. for large applications. Infact Facebook claims to have the largest Hadoop Cluster of 21PB. Commercial purpose of Hadoop includes Data Analytics, Web Crawling, Text processing and image processing.

Most of the world's data is unused, and most businesses don't even attempt to use this data to their advantage. Imagine if you could afford to keep all the data generated by your business and if you had a way to analyze that data. Hadoop will bring this power to an enterprise.

6 Reasons You Must Switch Career to Big Data Now

Big Data has got a lot of young professionals excited about the sterling career prospects and rightly so due to the sheer promise that this new domain holds. Getting a foothold in this exciting arena can take your career places, for sure. First let’s put things into perspective about Big Data. Read on.

These nuggets of information will convince you of the preponderance and inevitability of Big Data:

• Data production will be 44 times greater in 2020 than it was in 2009 – wikibon
• Bad data or poor data quality costs US businesses $600 billion annually – TDWI

According to TechCrunch study, we shall see an overwhelming proliferation of smartphones in the near future and it is estimated that we will have over 6 Billion of them by 2020. Also, did you know that by improving the data accessibility by a mere 10% can raise the bottom line of a Fortune 1000 company by as much as $65 million! Here is another eye opener – today only about 0.5% of the data at our disposal is every analyzed or utilized according to research from MIT Technology Review. So just imagine the potential of what we can do with Big Data in the near future.

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Seven reasons why you should switch over to a career in Big Data now:

1. Big Shortage of Skilled Professionals

As per a report from the International Data Corporation (IDC) there is a serious shortage of skilled workforce in the Big Data sphere. People with deep analytical expertise will be needed to the tune of 181,000 by 2018 and the need for people with skills in data management and interpretation could be five times this number, as per this IDC Report.

It would be prudent to expect that the Big Data market would be worth at least $46.34 billion by 2018 since that is what IDC has forecast. There will be huge upside in the various related fields of Big Data like software, services and infrastructure in the next five years. The rate at which Hadoop will grow will also be quite astounding.

2. The Massive IoT is just around the corner

The Internet of Things is on the cusp of a major boom. IoT is the set of devices, sensors, objects and all kinds of things that will be connected to the Internet in the grand scheme of things. There will be a lot of machine to machine data exchange in the not so distant future.

So it would be safe to say that the data of future would not be limited to the spreadsheet data that we are so used to. There will be all kinds of data and all this needs processing and analyzing capabilities on an unprecedented scale. Most of this data will be unstructured or semi-structured at best and there is an urgent need of technologies and skills to make sense of it all.

3. Big Data equals Big Money

This is a no-brainer – Big Data Training means big bucks. For the professionals with the right skills the salary can go through the roof and there is always another competing organization that is ready to top the already exorbitant salary that the Big Data professional is earning.

According to a salary survey from O’Reilly Media it has been proven that Big Data sits at the very top of the salary ladder. The job search portal Indeed says that the average salary that a Big Data professional can command is about $114,000 per annum!

4. Rapid Growth in Career

With Big Data growing at such a torrid pace how could your Big Data career possibly grow any slower? The trick for Big Data professionals is to learn and get trained in the next big thing in Big Data. This could be a new technology or a process that is finding much favour among the giants in the Big Data sphere like Google, Amazon, Facebook, IBM and the ilk.

In the field of Big Data, the professionals who show much promise can expect rapid promotions, blitzkrieg career growth and

5. Job Satisfaction: Never a dull moment at office

The job of Big Data professionals might look like any other nine-to-five job for the uninitiated but those working in this domain know better. Merit wins big time in this field and you need to explore ways to add value to the company that you are working with in hitherto unheard ways. The technology can do only so much but it is the sheer human ingenuity that adds the ultimate value and improves the revenue and profits of any organizations. Expect a lot of unguided exploration, exciting discoveries, newer ways of doing things and ‘aha moments’ at your office if you are in this promising Big Data field.

6. Vast Field with Big Job Opportunities

In the world of Big Data we are presently playing on a chessboard so big we are not able to see the entire board. Hadoop is just the tip of the iceberg. Expect newer technologies to come real thick and fast. Also organizations regardless of their industries need professionals with diverse skills sets. Here are some of the job titles that companies are looking out for:

• Big Data Engineer
• Business Analyst
• Analytics Engineer
• Machine Learning Specialists
• Hadoop Developer
• Information Architect
• Statisticians and Mathematicians
• Data Visualization Experts
• Database Administrator
• Hadoop Architect
• Data Scientist
• IT Security Analysts
• Business Managers
• Software Testers                  

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