Haven’t you heard? Java ranks the highest top functional programming skill today, a report revealed by the TIOBE Index for August 2019. Java, followed by C, C++, and Python programming languages are next in line. The statements are true, big data today has become one of the mainstream technology across all industries. Big data skills bring forward an ocean of opportunities for workers skilled in statistics, mathematics and those having the knack for coding.
To understand the role of a big data professional, tech professionals looking to launch their career in this domain must first learn the skills required for this profession. In a workforce that’s becoming more data-centric, there is not enough expertise to keep up the pace with the explosive demand for big data professionals.
The big data industry has transformed several industries. It is a well-known fact when technology gains momentum, speed, and efficiency, they automatically transform industries. Industries disrupted by big data are retail, healthcare, manufacturing, education, financial services, insurance, and banking and many others.
What is big data?
Big data is increasingly transforming business making it a core asset for most industries today. Becoming a data tech-savvy is the new norm.
The term big data is used to define huge amounts of data – structured and unstructured. Well, it is not a large amount of data that is important, but what you do with the data is crucial. Organizations are now collecting data from different sources like social media, information from sensor machines, and business transactions, etc. In the past, collecting a large amount of data could have been a challenge, but with Hadoop, functions have become easier.
Understand what it takes to become a big data professional?
Let’s look at the baseline skills required by industries today. Off late, big data engineer roles have taken a turn in the job market. Organizations are facing data deluge and the shortage of data talent is still unaccountable.
The role of a big data engineer requires strong expertise in data warehousing skills, transformation, data extraction, implementation of machine learning, etc.
Since big data skills are in-demand, having sufficient experience in the field of software engineering or experience in the IT domain with basic programming skills.
Top skills to pick up while learning big data.
In addition to basic programming skills, professionals looking to enter the big data industry should fulfill the prerequisites to enter the field. To get the best out of this, investing in these top skills will provide the fastest way toward the big data career.
- Apache Hadoop – an ecosystem of open source components that are designed for distributed storage to process large amounts of data. Components include names like MapReduce, Hadoop Distributed File System (HDFS), Yarn, and other common libraries called Hadoop subsystems. Taking up Hadoop certifications will ease your burden and keep you ahead of others.
- NoSQL databases like MongoDB and CouchDB.
- Apache Spark
- Machine learning algorithms
- Setting up cloud clusters
Job roles and responsibilities:
- As big data professional, below are the kind of roles and responsibilities that will be expected by industries.
- For instance, a big data engineer requires to be a hardcore builder – he may be required to design, construct, install, and test to be able to maintain highly scalable data management systems.
- Building high-performance algorithms, predictive models and proof of concepts.
- Development of data models, mining, and production.
- Have expertise in skills such as Apache Spark, Scala, and Hadoop.
- Understand how to develop, design, and document Hadoop applications.
- Collaborate with data architects, and IT team members and fix project goals.
Big data certifications have proven reliable in demonstrating and mastering skills that the current industry demands today.
We’re all in the world of a data revolution. Since big data is a widely-known source of truth. The role of data professionals has become important as we bridge the gap between the number of job opportunities and the dearth of talent.
Learn the skills and stay ahead of the tech curve today!
