Last Updated on by Kumar Raja

Differences Between Big Data vs. Data Science

Both Big Data & Data Science are among the trending buzzwords in the present 21st century. The word Big Data relates to extremely massive volumes of Data inside which enormous information gets stored. By extracting & analyzing the insights from Big Data by subjecting it to computational & analytics techniques with Data Science, organizations can avail numerous benefits. Data Science is undoubtedly the best technology in use in relation to Big Data management to find out hidden patterns, unknown trends & correlations.

The demand for Big Data & Data Science has grown immensely over the last ten years. Many technologies have also been developed based on Big Data & Data Science like Artificial Intelligence, Machine Learning & Deep Learning. As per the experts’ view, by the end of 2020, the number of job opportunities in Data Science is expected to rise to 2.5 million & this trend is expected to grow. So, prepare your career to work in the new world of increasing career opportunities in the Data Science & Big Data industry by joining for the Best Data Science Training In Hyderabad program offered by Kelly Technologies.

Now, let’s take a look at the major differences between Big Data and technologies.

Data Science vs. Big Data-

Big Data is nothing but massive volumes of data that encrypts information on an enormous level. Big Data is generally so massive that it cannot be handled with traditional data management tools. This is where Data Science comes into the game of play. Being multidisciplinary, Data Science makes use of advanced mathematical techniques, statistical ideas, and computational tools & analytics techniques, tools & algorithms for exceptional Big Data management.

Big Data may comprise multiple data types & the data format can be either structured or unstructured or even semi-structured. In contrast, Data Science is more like a combination of multiple technologies that help in the process of extracting & analyzing the insight from Big Data.

Big Data analysis is a technique that helps in extracting insights from Big Data, however Contrary to analysis; Data Science is far more advanced as it can make a system capable of predicting events precisely by analyzing the Big Data. For this approach, Data Science makes use of Machine Learning & statistical models.

Both Big Data & Data Science are proving to be very crucial for enterprises across varied sectors & the demand for these technologies is exceeding everyone’s imagination. Step your foot in the leading analytics technologies of Big Data & Data Science by joining for the Best Data Science training program offered by Kelly Technologies.

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