Understanding Big Data and its Benefits | Types of Big data

Understanding Big Data and its Benefits | Types of Big data

Though big data is under the spotlight, not many people are aware of the field completely. Business, governmental organization or institution, Health Care Providers (HCP), financial organization and other educational institutions use Big data concepts to enhance their business performance with improved customer experience.

What is big data?

A field that paves the way to analyze and systematically help in extracting the information from, and also to deal with different data sets that are too large or complex using traditional data-processing application software is called Big data. In other words, it means a large amount of both structured and unstructured data that are difficult to process using traditional database and software techniques. It includes data mining, data storage, data visualization, data sharing, and data analysis. Overall, big data is a combination of data, data frameworks, along with the tools and techniques used to process and analyze data.

Types of Big data

There are a few forms of big data which are

Structured form: When a data is analyzed, processed, stored and retrieved in a fixed format, then it is called the structured form of Big data. For instance, employee details will be stored in a specific format (Employee name, Employee ID, Employee role, salary, etc.) that can be searched using simple search engines.

Unstructured form: An unstructured form is a process that has no fixed format for analyzing and processing the data. It is a difficult and time-consuming process. Email is an example of an unstructured data form.

Semi-structured form: A semi-structured form is a combination of both the structured and unstructured form. It refers to the data that are not considered in any specific database, yet contains some vital information within the data.

Characteristics of Big data

There are three V’s in big data: Variety, Velocity, and Volume. This will analyze the Big data in detail.

Variety: It refers to structured, unstructured and semi-structured data that is gathered from multiple sources. Back then, data could be collected from spreadsheets and databases but today, data comes in an array of forms such as emails, photos, videos and much more.

Velocity: It refers to the speed at which data is being created in real-time. To be precise, it is the rate of change, linking of incoming data sets at varying speeds and activity bursts.

Volume: As we are talking about Big data, it indicates very large volumes that are being generated daily from various sources including human interactions, social media platforms, business processes, etc. Such a large amount of data is stored in large data warehouses.

Benefits of Big data

Predictive analysis is one of the biggest advantages of big data. The Big data analysis tools predict the results more accurately, by allowing various organizations and business process to make better decisions thereby simultaneously reducing the risks and optimizing their operational efficiencies.

By exploiting data from social media platforms using various Big data analysis tools, businesses are working effectively to improve their customer experience with their different digital marketing strategies. Big data techniques help the business to improve its products and services.

About 43% of the companies don’t have proper tools to filter out the unnecessary data from the database which costs them millions of dollars to remove the data that are necessary from the database wasting both time and money. Big data analytics tools are here to reduce these risks.

With the help of Big data analytics, one can always stand a step ahead of your other competitors. They also allow you to understand the current trend and provide a highly personalized experience to them.

How big data is linked with academics?

Learning Big data is a more suitable option to enhance your career profile. There are numerous options to learn them from. Academic institutions that are investing in digital courses that are powered by Big data technologies helps in developing budding learners.

Big data analytics market:

Big data analytics benefits the following fields greatly.

  • Intended audience
  • Network security providers
  • Banking institutions
  • Insurance providers
  • Research firms
  • Software investors
  • Software developers
  • Cloud service providers
  • Government agencies
  • Telecommunication companies

Duration of Big Data Analytics Course

The duration of the Big data analytics course is usually for 5 months or 6 months which trains us sufficient enough to start our career in the field with practical training. They help us to grasp the current technology and skills which helps us to analyze the data more effectively.

Courses offered

Various institutions offer courses like

  • Analytic techniques using Excel, PowerBI
  • Data analytics using SAS
  • Data analytics using R
  • Data analytics using Python
  • Salary growth in the field

Having deep knowledge in both hands-on and technical skills in the Big data analytics field, one can expect an exponential salary growth in their career. According to a survey, the big data analytics would be in high demand shortly all around the world. Many leading MNC’s have openly declared that there will be a huge recruitment process for budding graduates with Big data analytics as an added advantage. The big data analytics is going to turn the way of working in a completely new and effective way to gain more customer experience and improved results of their products and services. We are in the initial stages of big data analytics.

Eligibility Criteria For a Big Data Certification

The eligibility criteria for this certification are the people who have their master’s or bachelor’s degree in the field of science, mathematics, engineering, finance or statistics with overall average performance and percentage. Other basic requirements are:

  • Passion for coding and problem solving
  • Passion to learn new things and keep updated.
  • Familiarity with any one of the programming languages.

Highly Paid Jobs for Big Data Analytics

  • IT system analyst
  • Health care data analyst
  • Operations analyst
  • Data Scientist
  • Data Engineer
  • Quantitative analyst
  • Data analytics consultant
  • Digital marketing manager
  • Project manager

Thus, Big data analytics helps in keeping up the customer trends which is most important for any organization. The Big data analytics certification has a wide range of career options and growth and hence it is advisable for the budding graduates.

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