Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (columns) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. The analysis of big data presents challenges in sampling, and thus previously allowing for only observations and sampling. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value.
Interesting question, I had seen an article written by Terence Mills and would like to recommend to have a look:
https://www.forbes.com/sites/forbestechcouncil/2018/05/16/big-data-is-changing-the-way-people-live-their-lives/?sh=217ce61a3ce6
Dear Subhi R. M. Zeebaree ,
This can be achieved by deploying Data mining techniques to extract useful patterns from the huge amount of consumed data in our daily life. These techniques will allow the extraction of knowledge that will contribute, somehow, to enhancing our quality of life!
I am a newcomer to the world of data analytics and big data, and I offer my opinion/answer in light of that.
Think of regular mining for a moment. Contained within the earth are an immeasurable amount of resources that could be extracted and used in an innumerable number of ways. These natural resources are everywhere; however, it is most definitely not feasible to look for them everywhere. Instead, we (humans) locate hotspots of these resources, and we mine these hotspots in an attempt to extract as much as possible, with as low as possible a cost and hopefully as low as possible an impact.
We have developed several means to relatively accurately determine where these hotspots are, and we have also figured out ways to extract the resources as easily as possible. We also measure our mining activities' value and cost with various metrics and use these to decide when we have dug deep enough or extracted enough.
Big data I consider to be a similar problem. Let us consider data to be the earth and intelligence to be the resource we want. Just as we cannot mine the entire earth, we cannot peruse all the data. So we need to focus our efforts at key-locations where the resource we are looking for (what I like to call intelligence) is located. We must then extract this intelligence.
Additionally, we must devise metrics by which we measure the value and cost of our activities. This, I think, is where there is considerable room for research. How do we decide how much value our mining activities are producing and what is the cost thereof? The cost is usually more easily measured than the value.
So I think your question about how we get the maximum benefit from big data can be answered with a question; How do we determine the value of the intelligence extracted from our data?
Once we know that, we can decide what benefit the resource extraction gives us and how to maximize it.
Big data utilization in health, education, security, business, etc. helps improve our health, education, security, business performances. For example, data collected about the activity (HAR) could help in letting the person know he may be obese as a result of his/her inactivity.
Big Data can be used in Mobile maps and GPS, Online shopping, Urban Planning, Wearables, and Energy Consuption. For example Big Data in Energy Consuption allows smart meters to self-regulate energy consumption for the most efficient energy use. Smart meters collect data from sensors all over an urban space. They determine where energy ebbs and flows are highest at any given time, much like transportation planners do with people. Then, the energy is redistributed across the entire grid to go to the places it is needed most. Smart meters may be expensive in the short term, but they are going to be the new norm. They will automatically adjust to ensure the efficient distribution of energy in a given network.
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