Blockchain Data Analytics

Data streaming into an organization's information warehouses is increasing at an exponential pace and is predicted to develop by as much as 50 zettabytes by 2020. A zettabyte is over 931 million gigabytes! Each and every action we do online leaves a digital hint. Every single motion we make when we go online reminiscent of online shopping, chatting with friends through social media, or utilizing GPS outfitted smartphones generates data that businesses mine for information. We mainly go away from digital footprints with each action we take digitally involving the use of the web. The amount of information generated is growing quickly and this requires using superior know-how and instruments particularly designed for the evaluation and interpretation of this monumental quantity of information. That is where data analytics comes to the rescue. The thorough and in-depth analysis of this "Big Data" requires the usage of data analytics software programs such as Python, SAS, R, and Hadoop which were developed particularly for handling Big Data.