Before talking about a career in big data analytics lets know what 'Big data' is in first place.
'Big Data' is a concept used to describe large volume of structured and unstructured data which is so large that it’s very difficult to process using traditional database and software techniques or tools. The data are too huge or it changes too fast or it exceeds current processing capacity in today’s enterprise scenario. Big data has huge potential to help companies improve their operations and make decision making faster and more accurate.
Big data always doesn't mean volume in any case when used by vendors, it may refer to technology, which is used to process or handle this large amount of data and storage facilities. It is believed that big data to have originated from search engine companies who wanted to inquire very large distributed aggregations of loosely-structured data.
Big data might be peta bytes (1,024 tera bytes) or Exa bytes (1,024 peta bytes) of data consisting of billions of trillions of records of millions of people. All from different sources like web, sales, customer contact centre, social media, and mobile data and so on. The data is typically not structured and is often incomplete and inaccessible.
Reasons for growth in big data are:
Over the past few years we have heard a lot of big data it's only because the businesses are gathering information on their consumers’ web-browsing habits, mobile habits, shopping habits and many other things. But the importance is what companies do with the data that really matters. Analytics technology allows organizations to analyze their consumers' data and turn it into valuable insights, in a way which will benefit the businesses.
Core enabler of big data is predictive analytics technology, which allows businesses to use historical data, combined with consumer insight, to predict future events. Future events could be anything from anticipating consumer demands, wants, forecasting wider market trends or managing risk, which in turn offer a competitive edge to the businesses, the ability to drive new opportunities and ultimately increase revenues.
Career in Big Data
As of now, tech positions in big data are hard to fill because the need is overwhelming and the talent pool is too small to fill the gap. It is very difficult to find a candidate with specific skill sets needed while balancing the cost of that talent. Businesses need to ensure that data can make more money of the data to justify offering candidates a large salary.
The highest demand is for data engineers who can utilize data analytics, code it and direct for business purposes. The most recent and most required after role is for data scientists are the one who can relate big data both into businesses, IT department and business functions. These positions are all within a range of $90-$ 180,000 depending on the individual’s role, responsibilities and experience.
'Big Data' is a concept used to describe large volume of structured and unstructured data which is so large that it’s very difficult to process using traditional database and software techniques or tools. The data are too huge or it changes too fast or it exceeds current processing capacity in today’s enterprise scenario. Big data has huge potential to help companies improve their operations and make decision making faster and more accurate.
Big data always doesn't mean volume in any case when used by vendors, it may refer to technology, which is used to process or handle this large amount of data and storage facilities. It is believed that big data to have originated from search engine companies who wanted to inquire very large distributed aggregations of loosely-structured data.
Big data might be peta bytes (1,024 tera bytes) or Exa bytes (1,024 peta bytes) of data consisting of billions of trillions of records of millions of people. All from different sources like web, sales, customer contact centre, social media, and mobile data and so on. The data is typically not structured and is often incomplete and inaccessible.
Reasons for growth in big data are:
- Constant growth of Social Networking websites, Smart phone applications and usage of internet
- Falling costs of the technology devices that generate, capture, manage, protect and store information
- Change from analog TV to digital TV
Over the past few years we have heard a lot of big data it's only because the businesses are gathering information on their consumers’ web-browsing habits, mobile habits, shopping habits and many other things. But the importance is what companies do with the data that really matters. Analytics technology allows organizations to analyze their consumers' data and turn it into valuable insights, in a way which will benefit the businesses.
Core enabler of big data is predictive analytics technology, which allows businesses to use historical data, combined with consumer insight, to predict future events. Future events could be anything from anticipating consumer demands, wants, forecasting wider market trends or managing risk, which in turn offer a competitive edge to the businesses, the ability to drive new opportunities and ultimately increase revenues.
Career in Big Data
As of now, tech positions in big data are hard to fill because the need is overwhelming and the talent pool is too small to fill the gap. It is very difficult to find a candidate with specific skill sets needed while balancing the cost of that talent. Businesses need to ensure that data can make more money of the data to justify offering candidates a large salary.
The highest demand is for data engineers who can utilize data analytics, code it and direct for business purposes. The most recent and most required after role is for data scientists are the one who can relate big data both into businesses, IT department and business functions. These positions are all within a range of $90-$ 180,000 depending on the individual’s role, responsibilities and experience.
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