Blog For Big Data

In the video for futurelearn activity 3 it was discussed how big data can help in industries. With regard to the retail industry, retailers around the world are making use of big data to aid them in understanding their customer base and managing the supply. The advertising industry makes use of big data for online advertising, real-time buying and selling. 

The best example of environmental big data is that of weather forecasting, as discussed in the video on futurelearn. The use of drones to monitor and measure atmospheric pollutants is another form of environmental big data. This can all be used to reduce carbon footprint by making use of the data to reduce or introduce more efficient transport in areas with high levels of pollution.

Through day to day use of the internet, tracking cookies, social media postings and searches through Google or any other search engine for topics that interest me as a person this will all contribute to big data. 

Part A Dr. Charles W. Stryker covered a high number of points within his TedTalk, the main points that he made were that big data encompasses everything. He compared the job hunting of people today versus the job hunting of those who would look for a job before 1993, he discussed the same comparison when it came to people searching for relationships, how people communicate and stay in touch with friends as well as investments and business. Big data is now usable by analysing the data as it comes in. The medical industry is using data for cancer to track cases, Dr. Stryker stated that the best oncologist in the United States tracks roughly 6-8 cases and that if they request data they can easily find better care for their patients 85% of the time based solely on data analytics. Big data will soon be able to track the food that people consume over the course of years and through big data a diabetes drug was prescribed by a doctor who noticed a correlation between his patients on ...

Making use of big data analysis within the healthcare sector has had an incredibly positive outcome and has also saved many lives over the years. When big data is applied to the healthcare sector it uses the specific health data of the population or individuals to potentially aid in preventing epidemics, curing diseases as well as cutting costs to healthcare in general. The most common and widespread use of big data in medicine is in the use of patient records as each patient has their own individual record which will include the patients medical history, their demographic, allergies, test results received from the labs to name a few. These records are shared through incredibly secure information systems and are available to those in the private and public sectors. The files can be modified by a doctor via a modifiable file which ensures that there's no issue with data replication. Another use of these patient records are that they can also alert or trigger warnings/reminders when...

Big Data as been an integral part of many companies beginning to beat their competition and vastly outperform them. In various industries there are new companies and seasoned competitors that use data based strategies to combat their competition with new innovations in their respective fields. This usage of big data can be seen in almost every sector of every industry whether it be the IT industry or even healthcare.  In regard to healthcare, data scientists have been continuing to analyse the outcomes of pharmaceutical products and companies have become focused on discovering the risk and benefits that were absent during clinical trials. Big data has been vastly important in analysing the trials and has made the outcomes of future trials more predictable. Those who adopted this method early on have been using data that they have taken from sensors which were embedded in various products from industrial apparatus to kid's toys. This use of big data aids companies determine which...

Within big data there is always a will to manage this data and to do this the data first needs to be characterised and to organise our understanding of this big data. Due to this Big Data can and is defined by more than one characteristic. There are in fact 3 characteristics that need to be taken into account and these are Volume, Velocity and Variety. Volume refers to the size of the data that is continuously growing within the world of computing and this raises the question of the quantity of the data itself. Velocity refers to the speed at which the data is processed and this can also be questioned within itself. Variety however refers to the varying types of data, this allows us to question just how each data format differs from one another.  These characteristics also raise some very important questions that allow us and aid us in deciphering Big Data but they also aid us in learning how to deal with massive and varying data at a manageable pace and within a reasonable time...