BENEFITS RELATED TO BIG DATA ANALYSIS

We already know how big data is defined and how important it is as a part of data science. Big data usually stands for large chunks of multidimensional data. This much amount of data cannot be handled by humans alone. If they were to be handled by humans, it would take a lot of time and effort and yet the results would be inaccurate. Hence Big Data Analytics came into the picture. As we know that data sciences growing exponentially these days, Big Data Analytics as a part of data science is really important for business firms and organizations and hence has caused the creation of a lot of job opportunities for people. Big Data Analytics is not only about analyzing data. There is a lot more to Big Data Analytics. It comprises of strategies to handle data, and various terminologies related to it. We will discuss some of the basic terminologies related to Big Data Analytics in this article.

What is the power of Big Data Analytics?

There was a time when all the business decisions were taken on the basis of experience of the people working in that business firm and some general intuitions of people working in that firm. But nowadays it is seen that this is not a very good process or method for taking good and informed business decisions. This is mainly because intuitions are not always connect and also it is seen that many times, there is a lack of experience in a business firm because not only business firms, but all kinds of firms have become very dynamic these days. Every year they are hiring new talent and people who have worked for the most part of their life in that firm are retiring. Hence we can analyze to predict outcomes of various business decisions by analyzing past outcomes and keeping in mind the current condition of the business firm also.

How does it help business firms?

How does Big Data Analytics help business firms grow? By analyzing various terms of multidimensional data, business firms can know what kind of decisions have been successful in the past and have been appreciated by the general public. Similarly it helps them to know what kind of decisions were a fail and not welcomed by the public and their general users. Hence, they can modify their future decisions accordingly. Big Data Analytics also helps to analyze and learn from various feedbacks given by the users so that the business organization can have a decent introspection as to where it is going wrong and what are the areas where it needs to improve.

What are the 3 Vs of Big Data Analytics?

The 3 Vs of Big Data Analytics are Volume, Variety and Velocity. These are really helpful for defining the type of data in Big Data Analytics. Volume means the amount of data that has been gathered, variety means the type of data and similarly velocity means the speed at which the data is being processed. It is very useful for Big Data Analytics.

From the author’s desk

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TOP REASONS WHY YOU SHOULD STUDY DATA SCIENCE

Data science is basically the transformation of structured and unstructured data into value using various approaches like machine learning and statistics. Companies have recognized the need for data science and has employed data scientists to extract meaningful insights from raw data for improving revenue, business agility, improving customer experience and creating new products. Data scientists are responsible for providing valuable information to the company with which major decisions are made. Every kind of company deals with big data; from big multinational corporations to small startups. Here are some of the reasons why you should pursue data science as a career.

PRIORITY IN TOP COMPANIES

Top companies want to grow and keep up with the competition in the market. In order to do so, they need data analytics to identify new opportunities for their services or products. It is considered as a critical component of business performance by many companies.

MORE JOB OPPORTUNITIES

Companies have realized that the large amounts of data are unmanageable and difficult to interpret and so they are looking for data scientists who can do that job. There is an increase in the number of job postings for data scientists and consultants in many companies. The demand for data scientists continues to rise but the supply remains low. This has created fantastic job opportunities for various individuals in the data science field.

INCREASE IN PAY

As the demand for data scientists is high and the supply is low, the data scientists with particular skill sets get paid more and more. These professionals are very important to every company to make them profitable and this has caused the rise in demand.

DATA SCIENCE IS EVERYWHERE

The use of data science for faster growth is catching on just like how computers are used in every workplace. There is no sector which does not employ data science to solve problems and help the company become profitable.

CORE OF DECISION-MAKING

Many employees have job dissatisfaction because they are not given enough power to make decisions. They do not have the authority and can only follow the instructions of their superiors. Being a data scientist means that you will be a part of the decision-making core of the company. You will be responsible for making the most important decisions and planning the future strategies for the company. This will provide you with job satisfaction and an important role in the company

HIGH ADOPTION RATE

In the present, it is not possible to find any company which does not use social media for branding purposes. Similarly, the same will be true as far as data science is concerned. Every company will be in need of data scientists to handle the huge chunks of data. The future is bright for the field of data science which is why it is considered wise to choose this career path.

NEW REVENUE STREAMS

By using data scientists’ ability to analyze the insightful data and put it to good use, the company can easily find out unexploited streams of revenue generation. This is a great way to enrich the company’s value and have an edge over its competitors.

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Big Data certification

1.1 Getting your head in the game

Go back in time to the 90s and you will find that computers hardly ever dealt with data of massive scope and size. Back then a 40 MB hard drive was considered to be a luxury. As we advance in the field of computer science by leaps and bound, we find ourselves being more and more dependent on it. Modern day computers can now hold more than a terabyte of data but today's industries generate multiple terabytes of data over a short time. Modern day firms, be they IT or some other sector, deal in huge quantities of data. Consider Facebook- it generates a staggering 105 TB of data every 30 minutes. To process such an immense amount of data for valuable insights, you need to know what big data is all about.

1.2 Get your foot in the door

Whether you are new to the IT sector or you are a veteran of sorts, time and again, you have most probably come across the words "Big Data", for it is something that is in high demand all over the world. No company wants to make investments that will not prove profitable for them and that's where data analysts step in. Data analysts play the crucial role of crunching through numbers and figures obtained from the data to help the firm make calculated decisions about various marketing strategies.

How can you be a part of this big digital trend? All that is required is to pass an exam. It is simple so long as you have the passion and training for it, although these exams are not to be taken lightly as they require both time and money to attempt.

1.3 Way up in the clouds

Cloudera is one of the distinct names people always come across when they are talking about Big Data because it was the first company to build a business successfully around the professional deployment of Hadoop. Cloudera provides certification broadly divided into two distinct types. First is the Cloudera Certified Professional which is the most advanced course they offer. The other is the Cloudera Certified Associate which vouches for the candidate's foundational skills.

1.4 There is always another way

Certify your skills and accelerate your career. Another giant in the tech industry, IBM, also has certification programs for demonstrating your expertise in the related IBM technologies. For Big Data, IBM has set out two distinct tests- Big Data Engineer and Big Data Architect. Both of these exams can be taken online and consist of multiple choice questions through which they test the depth of knowledge and the proficiency of the candidate in each of the related areas.

Next up is MongoDB. This product is something most of the veterans in the field of IT are aware of. For the newcomers MongoDB is a free and open-source cross-platform document-oriented database program. Like all other reputable industries in the sector the certification provided by MongoDB carries some weight.

The list of Big Data certification programs from which you can choose would be very long and take lots of time and energy to investigate. But with the internet, you can find all the relevant details that you need to know to pick a reputable program and skyrocket your career as a data scientist or a data analyst.

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