In today’s technology and business world, data has become indispensable. Thanks to the rise of Big Data initiatives and technologies, data is now used to gain insights so that companies can make strategic decisions. Almost every tech giant is using Big Data technologies.
Big Data is the large volume of data sets available in structured and unstructured forms. It is a huge field that includes several domains inside it. Businesses and users produce massive amounts of data every day. With the help of Big Data Analytics, these large datasets are examined for underlining patterns and insights.
How can Big Data Analytics boost your career?
In the world of Information Technology, Big Data Analytics is definitely a revolution. By using big data analytics, companies are able to enhance their services every year. Customers are the primary focus of companies. This is why the field is widely used for Business to Consumer (B2C) applications.
Big Data Analytics can be divided into different types depending on the environment that it is used in. The three main divisions are:
- Descriptive Analytics
- Predictive Analytics
- Prescriptive Analytics
Big Data has immense potential. And in this article, we will discuss the four major areas in which Big Data Analytics training can boost your career:
Data Science perspective
Big Data Analytics involves using advanced tools and techniques on the data collected from different sources of different sizes. With Big data, you will be working with high volume, velocity, and variety. There are different web pages, online networks, social media, logs, audio and video devices, and other sources from which you will be gathering data.
For Big Data Analytics, you will be using different analytics techniques such as data mining, machine learning, statistics, and natural language processing. It starts with extracting the data. This extracted data is then blended and prepared to provide analysis. Multinational organizational and large enterprises implement these techniques in different ways to get everything Big Data has to offer.
Big Data Analytics involves using qualitative and quantitative techniques for improving the productivity of business and profits. Analysts, Engineers, and researchers working in companies use Big Data analytics tools for efficiently accessing the data. There are some special tools for Big Data Analytics that are used with these techniques for analyzing the data and getting fresh insights. In most cases, the data will be real-time and generated on a large scale. Using the tools, you will be capturing this unstructured data and storing it for analysis. The tools used by the businesses for Big Data Analytics are very advanced. They are of the following two types:
Some of the most popular Big Data Analytics tools are Apache Hadoop, Storm, Hive, MongoDB, and Cassandra.
With the increasing number of businesses using Big Data to improve the growth of the business, the demand for tools and techniques used for Big Data Analytics is also rising. This helps the companies in finding new opportunities, gaining new insights, and running their business efficiently. Through these tools, companies can find meaningful information that helps them make better decisions.
Companies are keeping customers in their mind while finding ways to improve their strategies. Using Big Data Analytics, they can make their operations more effective and efficient, and improve the company’s profits. Hadoop is one such Big Data Analytics tool that can reduce the storage cost and increase the business’s efficiency. With the help of these analytics tools, data analysis becomes a lot quicker and easier leading to faster decision making. Companies can save a lot of time and energy by this.
The Big Data Analytics field has seen enormous growth in the last decade. A wide range of industries has started using Big Data for their day-to-day operations including:
These are just a few examples of industries that are using Big Data Analytics. The field that has been making the best use of analytics is Banking. The education sector is another such field that has been taking advantage of the field. Analytics has provided new methods for analysis and research. The data of the institution can now be used for innovation. Because of the multiple job opportunities, Analytics has become a popular option among students as well.
The insights a company gets from Analytics tools help them understand their customer’s needs better. This way, they are able to create new, better, and innovative products that help the companies enormously. All in all, Big Data Analytics has become an integral part of the organizations and the IT sector.
Now that the companies have taken a huge interest in Big Data technologies and are making an investment in it, the professionals with Big Data Analytics skills are in high demand. The companies are paying attractive packages and incentives to experienced and qualified professionals. If you are an IT professional like a Data Administrator or an Engineer, you can have a promising career by learning the analytics tools.
The nature and requirements of the job will be different in different industry domains. Since analytics is used in every field, the required workforce is enormous. If you have the required skills, you will become eligible for a number of roles including Big Data Engineer, Big Data Analyst, Solution Architect, and Business Intelligence Consultants.
Also, when you have a certification, you have a way of demonstrating your skills and talent. The training will provide you the required knowledge and experience that will give you an edge over your non-certified counterparts. A certification is bound to open new opportunities for you.
The growth of Big Data Analytics has also resulted in an increasing demand for skilled professionals and intense competition between the companies. The analytics field has a lot of potential and it is still evolving. Using analytics, you can enhance the operations of the company and give it a chance to improve their profits. Enroll in a Big Data Analytics training program to learn more about the different ways in which data can be used for improving the growth of the organization.