Why Big Data Training In Analytics Is So Important For Career?

The term ‘Analytics’ has been revolving around for several periods. And more recent one is ‘Big Data’. Due to sheer amount of data getting generated these days, it has become exist in virtually all aspects of our lifestyle. As the name suggests, big data is too complex and large for traditional tools to store, capture and analyze. When it is kept in good use, analysts can extract insights, inspect trends and make predictions with big data.

One flight to London from New York creates around 10 TB of data. Every day, the US stock markets trade over 7 billion shares. Over 2.5 Petabytes of information is collected by Walmart from sales transactions in every hour. Every second, more than 10000 transactions are made on credit card. Training in analytics is changing the way how data is managed differently. It has been realized that businesses have been analyzing a large amount of data and giving very important insights which can help increasing profits and revenues or loyalty.
    
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Why Big Data Is So Bigger?

Analyzing a large amount of data is latest phenomenon these days also because data is being generated in astronomical volumes. Around 25% of data is digital in this world in 2000 and the rest was on cassettes, film and on paper. Over 1300 Exabytes of data is estimated to exist globally and 90% of it is unstructured and just 2% is non-digital.

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More than 24 Petabytes of information is processed daily by Google. Facebook, that had no existence earlier 10 years, holds up to 10 million photos every hour these days. In YouTube, videos with one hour of length is uploaded every second, and over 3 billion ‘Likes’ are made every day and over 400 million tweets are made every day. Over 2.5 Exabytes of information is getting made daily and it is doubling monthly. All these things are creating data explosion. 

Big Data Analytics as Option for Your Career

Big data analytics training is the most profitable option to start your career in 21^st century, as suggested by the Harvard Business Review. It has been estimated by NASSCOM that the demand for professionals in Google Analytics is 50000 today and it is about to grow up by 250000. 

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The Big Data¬- Challenges and Uses…

Handling big data is a big task; there has been buzz about this in the analytics industry recently. Everyone big and eminent in the field is talking about managing this in a comprehensive way. But do we know what big data analytics is?

Huge amount of unstructured and structured data is being generated every day. This data sometimes so big and so fast that it becomes difficult to collect, organize and analyze it for the benefit of the organization. Big data analysts come to recue in such situations. They are experts who have been through the big data analytics training to learn to handle this in a professional way.

This data poses many challenges to the analysts as this unstructured as well as structured data is in varied formats. This is analyzed and juxtaposed in many ways and patterns while it is processed to segregate useful data.

The breaking down of the data silos is the first important thing the analysts need to do so as to access entire stored data from all the locations in the organization.

The next big challenge is the creation of platforms which can pull the unstructured data as easily structured data. The astronomical volume of data is usually unmanageable and requires processing with the help of database and software methods with specialized software tools and predictive analysis applications, forecasting, data optimization etc.

This big data analysis has wide area of scope in almost all the fields ranging from medicine for DNA analysis to marketing for analyzing consumer behavior for any campaign, consumption of products or services, popularity in social media etc. the list is never-ending.

Since the purpose of this is to gain effective business insights, every business needs it. And hence the use of big data analysis can be observed wherever the data driven decision making is required be it retail, hospitality, media, logistics, transportation etc. It is more of a result oriented approach towards solution finding focused on the desired goal. Big data analytics enriches the organization with the power to exposure of opportunities which can be used to grow and achieve desired goals.