Dive deep into understanding big data technologies and the importance of implementing robust strategies to derive business value, ensure data completeness and data correctness
Big Data Analytics is changing the way businesses work by using predictive analysis which helps to gather insights related to improving ROI and provide seamless solutions.According to research, it is found that about 1.7 megabytes of data will be generated every second, and there will be 3.5 billion search queries on Google every day by 2020.
The humongous data is a clear indicator of the importance of better opportunities that businesses will get with Big Data.
Also, companies are expected to spend over 57 billion dollars this year for Big Data to become more competent in their craft and stay ahead of the competition.A brief history of Big DataWhile the term ‘Big Data’ seems to be relatively accurate in the business scenario, the concept of collecting data in large numbers started years ago.
In the early 2000s, industry analyst Doug Laney coined Big Data as the collection of three different things.Variety: For businesses working in different domains, data can come in various forms from various sources.
Previously there were only databases and spreadsheets that were considered as data sources, whereas emails, videos, and monitoring devices form the new age data sources.Volume: As business organizations have data coming from a variety of sources, the storage of data in a synchronized manner can be a problem.
The tools will identify effective manners in which the data can be stored, and businesses can have better opportunities.
