Blog For Big Data

Post #21 - As part of this post you need to complete a Research Study. Look at the following Brief and decide which areas interest you the most and start collecting the relevant data. When completed you must post this on your blog (AS Post #21) Choose 4 factors:  Election Backstop Brexit Boris Scandal Generate anomaly dates. The following research study shows anomaly dates using 4 factors relevant to one another over a period of time, these factors include: Election, Backstop, Brexit and Boris Scandal. 

Two types of Traditional statistics in Big data include Descriptive and Inferential. Descriptive means averages and working on sets of numbers. Descriptive statistics is a type of statistic in which a data set is summarised and the characteristics are described. This descriptive data is usually displayed through the use of tables, charts etc. but is most commonly reported as a measure of a central tendency. A central tendency is a typical value for a distribution, it is also been known to be called a location or centre of the distribution. The arithmetic mean is the most common measure of a central tendency, this is the median and the mode. The mean is the average of all the values, the median is the exact middle of the data set while the mode is the most frequent value in the data set.  The goal of traditional statistics is analysing and summarising data, providing tight assumptions about the problem and data distributions as well as using conservative techniques and approaches.  

1. Machine Learning Will Be the Next Big Thing in Big Data One of the hottest technology trends today is machine learning and it will play a big part in the future of big data as well. According to  Ovum , Machine learning will be at the forefront of the big data revolution. It will help businesses in preparing data and conduct predictive analysis so that businesses can overcome future challenges easily. 2. Privacy Will Be the Biggest Challenge Whether it is the internet of things or big data, the biggest challenge for emerging technologies has been security and privacy of data. The volume of data we are creating right now and the volume of data that will be created in the future will make privacy even more important as stakes will be much higher. According to  Gartner , more than 50% of business ethics violation by 2018 will be data related. Data security and privacy concerns will be the biggest hurdle for big data industry and if it fails to cope with it in an effective manne

Big Data is continuously growing, each and every organisation is dealing with more and more data with each passing day and this growth shows no signs of slowing down. There are various reasons for this swift increase in growth, I will now discuss a few of these reasons. Business models are one of the main reasons for this exponential growth through the aggressive and continuous acquisition and permanent retention of data. Google is a perfect example of a business that is retaining vast amounts of data and this is definitely working in their favour as can be seen by their company growth. Infrastructure capacity is another reason for the increase as the cost of data storage has become incredibly low over the past few years while the capacity seems to be increasing almost doubling in the space of a couple of years.  Business analytics has also seen an increased acceleration in the past few years and is now over a 100 billion dollar market and continues to grow year to year. Regulatio