Data Science and Data Analytics are quite diverse but are related to the processing of Big data. The difference lies in the way they manipulate data.
As data has gained its due worth in the modern world, a new discipline has emerged called Data Science. Before science experiments and discoveries were performed in the fields of physics, chemistry, and then technology. Now, data is also being examined and engineered in the field called Data Science.
Data science essentially finds new ways and searches for new algorithms to interpret data. It also helps to find and establish relationships between data elements. Data science works with a large data set that usually encompasses multiple data servers and performs different techniques and algorithms to find patterns and trends in the data set. This big data helps to provide enough information to establish the interpretations and confirm the patterns of relation deduced from the data.
For Big Data Analytics, the challenges faced by businesses are unique and so will be the solution required to help access the full potential of Big Data.
We need no rocket science in understanding that every business, irrespective of their size in the modern-day business world, needs data insights for its expansion. Big data analytics is essential when it comes to understanding the needs and wants of a significant section of the audience.
Big data analytics can be applied for all and any business to boost their revenue and conversions and identify their common mistakes.
‘Data is the new science. Big Data holds the key answers’ - Pat Gelsinger The biggest advantage that the enhancement of modern technology has brought
Everything we do generates Data, therefore we are Data Agents. The question is: how we can benefit from this huge amount of data generated every day?. This post Get Started With Big Data Analytics For Your Business