Its the Small Data that Matters!

Big Data, surely everyone knows all that it is about, but do you know that the future revolves all around making this big data, smaller? While there may be a lot many people stating that big data is the next big thing, but those people tend to oversee the fact that everything related to big data, is entirely machine based and you would most likely require the human eye, to look at the big picture as it gradually forms. While it is no news, that the importance, evolution, analyzing and collection of everything related to big data, depends on its tools, which are commonly known as data analytics tools. These tools are basically used by Data Scientists or Data Analysts, to make smarter strategic decisions, to reduce costs, to target the right kind of audience, to optimize offerings and on the whole, in order to ensure that your business runs as efficiently as possible. Studies show that by the year 2019, the value of the data analytics industry is bound to reach about $187 billion. Its reason enough to become a part of this industry as early as you can.

Let’s start with the basics here, big data is basically a term, used to refer to the enormous amount of structured as well as raw data, which is generated by a number of businesses today. This data refers to every kind of online record of information, now that could be anything related to social media, or a machine to machine relation. The basic concept is, to be able to deal with all of this data, floating all around you in the virtual world, for which, one would need to develop certain technologies, which would help in analyzing the data, thereby resulting into various decisions that would prove beneficial to the growth and development of various companies.

In the recent times, the concept of big data has come to be the center of attention of the world of technology. There are many who believe that just storage of massive amounts of data would be able to get their work done. This is not really the case, as big amounts of data does not necessarily mean that the data would be useful. The most important point here is, how a business or a firm is able to analyze this data, while at the same time be able to draw practical conclusions from the same, in order to bettering their chances of success. Big Data being a very new concept, many companies have chosen to prioritize over the quantity of data, as opposed to the quality of it. The general idea of this field is so generic, that it becomes quite difficult for various companies to figure out which data should be analyzed, or how to conduct the analysis, or for that matter what attributes it must have. On the other hand, small data is rapidly gaining more importance, mainly because of its very specific attributes, which make it possible to analyze large sets of data. In other words, small data is able to bring about timely and more meaningful insights in shorter amounts of time, which is why more and more data scientists are rooting for it. This is also the reason institutes like Imarticus Learning have become popular, as they offer industry relevant training courses, in various data analytics tools like Hadoop, SAS, R and so on.

Three Things You Must Do IF You’re Considering A Career In Data Analytics

Have you ever been curious about how a few numbers and a couple of stastistical skills, can lead to great results and explosive revenue for a company? Does the whole process of targeted analytics and hard-core predictive analytics seem extremely fascinating to you? You don’t necessarily have to belong to an IT background to make a career in the field of data science. All you need to do is gain an in-depth understanding of how this field works, including all the various types of nitty-gritties, like the various data analytics software tools, as well as understand a few basic concepts of maths and statistics. So if you are one of those data enthusiasts or you are just looking for a career change, here’s a list of three things, which you must look into before deciding to take the plunge.

1. Self-Assessment

Understanding where your strengths and weaknesses lie, especially when it comes to narrowing down on a career, it becomes very important for you to self asses yourself. Research all the qualities and skill sets that are required for someone who wants to be a data scientist in the long haul. In today’s world it is very necessary for a person to have the right kind of personality for a certain job, without which they won’t be able to fit in. So for instance, any Data Scientist is bound to spend a lot of time away from the civilization, dealing with a lot of numbers, trying to find out what secrets lie beneath the logical data. Try to do an honest self-assessment to check whether you would be fine doing exactly that for years on end.

2. Acquaint Yourself With The Data Analytics Landscape

Data Science as a field finds its uses in a variety of fields including health, defence, e- retail, entertainment and many others. Each field uses various different tools of data analytics for the varied purposes. This is basically the reason why you must acquaint yourself with the field of data science. The upside of data science is that presents an individual with a number of opportunities, while the downside is the fact that nothing really is clearly defined, due to the very new nature of the field. Research forms one of the key components of what you want to do or which domain would you prefer to work in. Once you are properly acquainted with one domain, you can go ahead and narrow in on the kind of courses you would want to take.

3. Plan Of Action

When making big career decisions, just taking the plunge makes absolutely no sense, which is why everything must be clearly thought about before you begin to consider a career choice as the ultimate choice. This is the last step where you either decide to go back to college, to get a thorough degree, or you opt for one of those specialized courses. There are a lot of institutes today, like Imarticus Learning which offer various courses in data analytics tools like R Programing, SAS Programming, Hadoop, SQL and many others. What distinguishes Imarticus from other classes is that they offer a personality test, where in you can find out whether you are suitable enough for your career choice.