It is said that in today’s world, data is the new oil. With the digital world that is intrinsically joined with the internet in almost every aspect, corporations and even governments have realized that Big Data is a great asset that should be used judicially. The age of information technology shows that one can get greater insights from Big Data in almost all fields. One just needs to know where and how to look.
What is Big Data?
Big Data can be simply explained as a field that uses many statistical and analytical methods to process data sets that are impossible to process manually. By analyzing large chunks of numbers and figures, big data reveals patterns and trends that reveal information such as consumer behavior and frequent interaction patterns.
This information is then used by corporations and other entities to conclude the results of their findings and use this information to plan strategies, marketing campaigns, plan improvements, or execute awareness drives, etc. John Mashey, a computer scientist who was very interested in Big Data is credited with popularising this word in the early 1990s. Before John Mashey, this term was unfamiliar from the technical field but soon became an important and frequent part of the technological lexicon around the world.
What are some of the jobs available in Big Data?
Some of the most popular jobs associated with Big Data are:
- Big Data Engineer: Big Data Engineers are the most important and most frequently hired people in the world of Big Data. These are the people who are responsible for making designs that decode the numbers and make patterns emerge out of them. Their main job is to check and maintain big data solutions intact and running around the clock. People who are good at math and software building can pursue this job after a short period of training. The pay scale for Big Data Engineers is more than average.
- Big Data Analyst: Big Data Analyst is a very sought after job in the information technology field. Just like its name suggests, Big Data Analyst is responsible for extracting insights from the large data sets by using mathematical and statistical methods to categorize and sort numbers in definable patterns. A Big Data Analyst should have knowledge of technologies like Hive, Pig, and Hadoop amongst other languages as it is necessary for their job.
- Data Visualization Developer: As the name suggests, a Data Visualization Developer maintains the design and aesthetic of Big Data software and statistical practices. Data Visualization Developer is responsible for maintaining the standardization of design that goes behind every analytical or construction job in this field. A Data Visualization Developer needs to have a great sense of conceptualization, design and should be skilled in technologies like Pig, Hive, etc.
- Business Analytics Specialist: The person entrusted with this job is responsible for the creation of the scripts as well as testing them by regularly performing test runs around the year. Business Analytics Specialists are also deemed responsible for undertaking research that helps one find cost-effective alternatives to existing practices.
When Big Data was first used in the early 1990s, people thought that it would be used by niche companies and analytics departments of state-owned departments. Soon corporates and even small businesses started showing interest in the power of big data to reveal results thus increasing the career scope in Big Data tremendously. Today there are many interdisciplinary careers in the field of Big Data. While this field is still dominated by people who work in mathematics and technology, Big Data Analytics Training will your career a much-needed boost.