Big data is a crucial part of our day-to-day life; it affects everything we do online. In fact, it has been growing consistently from the past few years, which led to an increase in the requirement of individuals with big data skills; however, because of being a comparatively new concept, not many people have needed expertise. But, there are numerous robust big data certification programs available today for helping individuals who want to have a successful career in this field.

So, here we will be discussing the best big data certification available and what other skills you need to learn to make it into the big data space.

Academic qualifications required for starting in big data:

Usually, to start in the big data workspace, individuals need to have a minimum academic qualification that involves a four-year degree in any of these:

  • Mathematics
  • Statistics
  • Finance
  • Computer science
  • Economics.

However, in some cases, employers are open to hiring individuals that have exponential skills as per requirements regardless of their academic background. To have such skills, you can opt for

best big data certification online course.

What is the best big data certification course?

A best big data course covers all the essential course materials that will help you in a practical job role. Some of the critical lessons that such courses include are in-depth theory and exercise related to Hadoop and big data frameworks, parallel processing and obtaining real-time data, Spark applications, and functional programming. Further, all these lessons will help you to prepare for one of the best-known certification exams for big data, known as Cloudera CCA175.

Additionally, there are numerous Big Data Analyst Certification in Warsaw training available both in online and offline settings that help students to take on real-world projects relevant to the subject. Aside from certification, you also need to develop expertise in some crucial skills for becoming a successful big data expert.

Skills requirements for big data job roles:

Deep understanding of statistics and quantitative aptitude

As an aspiring candidate for big data, you ought to have comprehensive knowledge of linear algebra and statistics. Aside from having essential knowledge of business processes, being able to work on stats is an impressive skill to own. Basically, statistics in big data involves understanding core concepts such as probability distribution, summary distribution, random variables, and hypothesis testing of the framework. Aside from this, you’ll also require to know how to use technologies and tools relevant to big data. Furthermore, being able to solve issues creatively is also something that you should work on.

Maintaining the quality of data and work by rules

The majority of big data projects fail due to the poor quality of extracted data. Although most of the tech businesses and IT organizations are familiar with this fact, they find it daunting to clean up all that data that is becoming an obstacle in the success of projects.

So as an aspiring big data expert, you need to always emphasize maintaining the quality of data. Also, following and fulfilling compliance and rules should be a priority for you. Also, make sure you have all the updates in the field of big data tools and technologies.

Expertise in computational programming and framework

For a satisfying career as a big data expert, you need to get familiar with object-based languages and computational frameworks. In addition to this, knowing the basics of data algorithms and structures will be beneficial in the long run.

Furthermore, big data framework knowledge, including Apache Samza, Apache Spark, Apache Flink, and so on, actively assists in big data processes. Hence, if you have a good hold over the subjects like sorting algorithms, mathematics, and data types, etc. will definitely help you throughout your job role as a big data expert.

Following up on big data projects

One of the best ways to gain experience of big data project follow-ups on big data project implementations. Additionally, it helps you to understand which area is doing well and where it needs improvement so that you can use this information and future projects.

Furthermore, after implementation, the customer feels that organizations really care about their work environment and processing when you follow up on big data projects.

Hence you will earn the opportunities to better collaborate and cooperate with users.


So here we covered qualification requirements, what type of big data certification you should opt for and what are their skills that you need to learn beyond big data Hadoop certification. Moreover, you need to maintain discipline when you decide to learn big data as the field requires exemplary expertise in its job roles.

Follow these points, and undoubtedly you will become a successful big data expert soon in the near future. Visit the GLOBAL TECH COUNCIL for more updates on information on the tech world.