Big Data and Data Science are the areas that have been growing and altering the way in which business is done and decisions are made. The large amounts of data available today bring new possibilities that never existed before. Therefore, it is important to understand its function, and with a perspective of well-established databases and Business Intelligence solutions, and decide which is the best set of tools for a particular situation.
What is big data?
Big Data is a large collection of data sets that cannot be stored in a traditional system. Its size can vary up to peta-bytes. Organizations need big data to improve efficiency, understand new markets and increase competitiveness, so data science provides the methods to understand and use the potential of big data optimally. Big data provides the potential for performance. However, extracting Big Data information to use its potential to improve performance is a significant challenge.
What is data science?
Data Science is a field that includes cleaning, preparation and data analysis. Data Science is a general term in which many scientific methods are applied.The scientist applies the tools to extract knowledge from the data.
Today, for organizations, there is no limit to the amount of data that can be collected; however, to use all this information to extract meaningful information for the organization’s decisions, data science is needed. Data science uses theoretical and experimental approaches in addition to deductive reasoning.
As we have read, since Big Data and Data Science are not the same, they will have different applications, you will need different skills and they will have different salaries.
Applications:
Applications that have a Data Scientist involve internet search, search engines use Data Science algorithms to deliver better results, digital ads, so that ads get a higher CTR than traditional ads, and finally recommendation systems for facilitate the search for relevant products from millions of available products and increase the user experience. Many companies use this system to promote their products and suggestions according to the demands of the user and the relevance of the information.
Big Data has a place in different sectors. For example, financial services, credit card companies, retail banks, insurance companies. They use Big Data for their financial services. Therefore, Big Data is used for various purposes, for customer analysis, compliance analysis, fraud analysis and operational analysis.
Big Data can also be used to obtain new subscribers, customer retention and expansion within the current subscriber bases are the main priorities. In short, it can have benefits in the field of communication.
Aptitudes:
To be a Data Scientist, 88% have a master’s degree and 46% have a doctorate, in addition to having a thorough knowledge of R and Python, two very important programming languages. These, combined with languages such as Java, Perl, C / C ++, together with a knowledge about the Hadoop platform, although not mandatory. In addition, a data Scientist should feel comfortable handling complex queries in SQL while working with unstructured data.
To take a master’s degree in Big Data you need to have analytical skills, that is, the ability to understand the lots of data you get . You must have creativity to be able to create new methods to collect, interpret and analyze the data. It is interesting to have knowledge in mathematics, statistical skills and computer science. Programmers will have a need to find algorithms to process data into ideas.
Salaries:
Although it is a similar field, each of these professionals earns varied salaries.
The average that a Data Scientist earns today, according to Indeed.com is $ 123,000 per year. However, the average salary of a specialist with a Master’s degree in Big Data according to glassdoor is 62,066 a year.
These are the main differences between the two subjects: Big Data and Data Science. If you want to specialize in them big data training in Bangalore advise you to study specialized in each one. As you have seen, although both handle data, their applications are different. If you have any questions, Data science training institute in Bangalore is here to help you for what you need. Contact us!
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