Post by LEARN BIG DATA ONLINE on May 15, 2014 10:21:45 GMT
DECODING BIG DATA ANALYTICS WITH HADOOP
In 2010, with 20 petabytes (PB) of data, Facebook laid a legitimate claim to the world’s biggest Hadoop cluster. By March 2011, the cluster grew to an astounding 30 PB — 3,000 times the size of the Library of Congress! Needless to say, the cluster is growing rapidly.
The advent of big data platform like Hadoop has empowered enterprises, irrespective of their size, to crunch enormous amounts of data and analyze it cost effectively. Enterprises do not have to depend on sample data sets. They can now process and analyze all relevant data with Hadoop.
More Than A Buzzword
Hadoop is a technology used to store Big Data or large amounts of data at a very low cost.
In tech jargon, Hadoop is an open-source software framework for storage and large scale processing of data-sets on clusters of commodity hardware.
Put simply, it means when you have a file that is bigger than what your PC can hold, you don’t know where to store it! This is where the ‘baby elephant’ comes in handy. It allows you to store files larger than what can be stored on one particular server or node.
Hadoop was created by Douglas Reed Cutting and Mike Cafarella to solve problems where the data — possibly a mixture of complex and organized information — does not exactly fit into tables.
Weeping numbers
Even though getting started with Hadoop is fuss free and simple, it may not be as easy as it sounds for enterprises looking to cash in on the ‘Hadoop mania’
Like every technology in its nascent stage, Hadoop, too, is still evolving. Applying and handling Hadoop clusters and analyzing enormous volumes of unorganized data requires extensive skill, expertise and training.
A new study from Transparency Market Research gives us a quick reality check: “Currently, a major challenge affecting the market growth is unavailability of experienced and qualified work professionals who could handle Hadoop efficiently.
American global management consulting firm Mckinsey & Company corroborates the skill gap further: “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.”
Major problem for enterprises, opines Steve Totman, data integration business unit executive of Syncsort, is that those with relevant skill are commanding higher salaries – even if their experience is limited. “This is bucking the traditional trend of IT employment that involves years of hard work, training and experience and so highlights the employment issues facing the IT industry,” he avers.
Combating Scarcity
If we are looking to empower developers and data scientists to acquire the core techniques and concepts of Big Data and Hadoop ecosystem, an avant-garde approach is required.
Organizations need to bring in their own Big Data clusters and engage people with the requisite skills. They may bring in additional skill sets in the form of visionary leaders to their technical teams in order to create proficient data scientists. More importantly, they should equip their existent IT teams with the latest tools to manage data efficiently.
Looking at other organizations that have successfully bridged their skill gaps and following in their footsteps is another very smart way to overcome the crisis, suggests Totman.
Filling gaps the WizIQ way!
Big data analytics today is a vital component of an organization’s IT policy. While enterprises continue to take giant strides towards adopting and integrating Hadoop seamlessly into their operations, there is still a very long way to go. As for aspiring ‘Hadoop experts’, NOW is the time to get educated and WizIQ is more than delighted to offer a helping hand!
Through a series of blog posts, we will share with our learners, important information about various Hadoop Big Data training courses and other essential educational resources that will equip them with a competitive advantage.
So, keep watching this space for more updates.[/font]
Article Source : learn.wiziq.com/
image source : hadoopinpractice.blogspot.com