December 2016 | Outsource Bigdata Blog
Big data outsourcing

Is Big Data processing really expensive?

As you know that big data is a collection of huge unstructured and semi structured data. There are different steps for processing big data from data integration to present the results to clients. Big Data processing needs several resources in which you will have to invest money. It needs several hardware, software and human to analyse. We will see the cost for each and every resource in detail below,

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How to find an affordable and effective big data partner?

Bigdata is one of the most trending word in today’s market. The effect of big data in every business- from fortune 500 enterprises to start-up’s is so huge that each and every company wants to leverage it. It doesn’t matter, in which field you are working and what is the size of your company? Data collection, analysis and implementation impact your business in several ways. This is the time where you can’t ignore big data analytics and if you are still saying that ‘Big data is not beneficial for my company’ then you are definitely moving out from the competition.

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Challenges in Outsourcing Big data

Outsourcing refers to the contracting with another company for business purpose. It includes both international and domestic contracts. Sometimes outsourcing also refers to exchange or transfer of employee and assets between different firms.  It helps the firms in reduction of cost and improvement in quality.

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Can I outsource big data to vendors? Points to remember

Can I outsource big data to vendors? Before going to the answer of this question let us look at the different terms used in this question i.e. ‘Outsource’, ‘Big Data’ and ‘Vendors’.

What is outsourcing? Outsourcing refers to the contracting with another company for business purpose. It can be international and domestic contracts. Sometimes outsourcing also refers to exchange or transfer of employee and assets between different firms. It helps the firms in reduction of cost and improvement in quality.

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