Essential Skills One Must Have to Become a Big Data Expert

Big data is becoming an inevitable word in today’s technology-driven era. Big data and data science technologies are driving organizations to make their decisions. It is no longer a buzz word as big data has now hit the mainstream. There has been tremendous growth in the tools and technologies used in the big data sphere.

What is Big Data?

Big data means large volumes of data. This can mean both structured and unstructured data. Big data is data that is huge in size and grows exponentially with time. As the data is too large and complex, traditional data management tools are not sufficient for storing or processing it efficiently. A big data expert is one who analyzes the patterns and trends revealed by data to be adopted to improve your business. It refers to very large sets of data that are analyzed to reveal trends, patterns, and associations relating to human behavior and its interactions. This may refer to both structured and unstructured data. More than focusing on the volume of data present, big data must focus on how the data is used.

Skills Needed to Become a Big Data Expert

Let us now understand the key skills needed to be a big data expert.


While a traditional data analyst can get away without being a full-fledged programmer, a big data expert must be comfortable with coding. The main reason for this requirement is because big data is still in the evolution phase. As we know, big data includes both structured and unstructured data. Hence, a lot of customization is needed on a daily basis to deal with unstructured data. Languages a big data expert must be familiar with are Python, Java, C++, R, SQL, Ruby, Hive, SPSS, Matlab, Julia, Scala, etc. Not knowing a language must be a barrier for a big data expert. He needs to be proficient at least in Python, Java, and R. A big data expert will be required to work with many tools. Programming languages are essential tools for a big data professional and more the tools he knows, the merrier his career growth will be.

2. Apache Hadoop

Apache Hadoop has developed tremendously in the past few years. Hadoop components are in high demand nowadays, and some of them are Pig, HDFS, HBase, MapReduce, Hive, etc. Many software companies commonly use Hadoop clusters. It is certainly a big thing in big data. It is a must for aspiring professionals to become proficient in this technology. Apache Hadoop consists of open-source software utilities that aid in the distributed processing of large datasets across a cluster of computers with simple programming models.

3. Quantitative Aptitude and Statistics

The processing of big data needs great use of technology. and hence, it is important to have a fundamental knowledge of linear algebra and statistics. Statistics is the basic building block of data science, and understanding concepts such as probability distribution, random variables, summary statistics, and hypothesis testing framework are important if you wish to make it big and have a lucrative career in the field of big data.

4. Business Knowledge

To keep the analysis focused, to validate, relate, sort, and evaluate the data, the most critical skill a data scientist must have is to have a profound knowledge of the domains you are working on. The very reason for big data experts being so much in demand is because it is rare to find resources that have an understanding of statistics, business, and technical aspects. There are also big data analysts who are good at statistics and business and not in programming. There are also expert programmers who do not have the know-how of putting programs in the context of the business goal.e m It is also important to have a good hold in machine learning as it will help manage complex data structures and learning patterns that are difficult to handle using traditional data analytics.

5. Computational Frameworks

A big data expert must have a thorough knowledge of frameworks such as Apache Storm, Apache Spark, Apache Flink, Apache Samsa, and the classic MapReduce and Hadoop. These technologies can be streamed to a great extent and help in the processing of big data.

Getting Certified in Big Data

Though there are many online learning platforms one can choose from, it is important to choose the best. One such platform is the Global Tech Council. Quality is one factor to which Global Tech Council gives utmost importance. It is this determination to deliver superior quality, which has transformed Global Tech into a world leader of technical certifications. These certifications are accepted across the globe. 

The certified big data expert certification offers by Global Tech Council will equip you with knowledge on the core concepts of big data such as MapReduce, Hadoop, Yarn, Pig, Spark, Hive, etc. It is a self-paced certification course that provides individuals with comprehensive hands-on training to achieve big in the field of big data. Some of the major concepts you will learn in this course are the evolution of data, sources of big data, big data opportunities and challenges, big data use cases such as telecom, marketing, healthcare optimization, and business processing.  Enrolling in such a certification will provide you with the perfect competitive advantage over others, thereby making you industry-ready.


Wherever we see, people continue to talk about data. Data has become part and parcel of the everyday lives of both people and organizations. This is because of the scores of websites that generate data and information every second. Today, there is an urgent requirement faced by organizations to collect and store this data in order to not miss anything. Having learned the skills needed to become a big data expert, focus on becoming a big data professional as there a growing need for work in big data and big data careers are gaining the utmost importance. The need for a vast workforce training and professionals who can manage and analyze data effectively offer bright prospects for big data experts and big data jobs in the future.

To know more about big data certifications, check out Global Tech Council.