Industries require the analysis of the huge amount of data they generate on a daily basis. This can be illustrated in the following manner: a medicine with some modifications has been rolled out. It has to be compared with the same type of medicine without the modifications and other medicines of the same type. The effect of the medicine, viability and the sales have to be monitored and captured. We can also consider the example of the stock exchange in places like Mumbai or New York. This need for data analysis is found all around the globe.
Big Data refers to these huge datasets of structured and unstructured data collected about business activity on a daily basis. It cannot be analyzed by using the usual methods and software. Specific tools and techniques have been developed to manipulate this data. Big Data has specific characteristics which you do not see in typical datasets. The datasets are massive. They contain a wide variety of data. The format can vary as in fixed-length records or free-form data from the Web.
Big Data is valuable to businesses because with the right tools, an experienced professional can analyze this data, identify trends and make predictions about the best decisions for the business. This can lead to improved customer care, better operational efficiency and the ability to identify early in the development process the risks and benefits of new products. Data-driven decision making is the goal behind keeping hold of all this data and what senior management in many businesses across many different fields hope to gain.
Specific tools had to be developed to manipulate these huge datasets as there was nothing on the market up to the task. They are of two types: storage and query/analysis. Here is a short list of some of these new software packages:
Apache Hadoop: Java based free software used to store data in large sets. It is not exactly a programming language.
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Big Data analytics refers to the methods by which data scientists analyze this data to identify trends and make recommendations. These are new technologies and are slower and less accurate when compared to the methods used to measure the usual statistics in business with normal-sized datasets. Unfortunately, there is a shortage of Big Data analytics professionals. This has driven the salary quite high and now people are clamouring for this type of training.
A good bit of training is required to successfully manipulate these datasets with these tools and extrapolate useful information. Big Data analytics training is offered at numerous institutions across the country. You will need some type of certification to show that you are trained in this field. Now is the perfect time to enroll in a Big Data analytics training course. If you want to supercharge your resume, sign up for the course and become certified in Big Data analytics.