The digital world is flooded with an enormous amount of processed and unprocessed data on a regular basis. For instance, nearly 95 million videos and photos are shared on Instagram every day, and over 100 million people post “stories” on Instagram daily!
With the generation of this immense amount of data, companies are perplexed as to how to manage it efficiently and use it to their advantage. However, with the advent of big data analytics, companies are now practising the data-driven approach to analyse and interpret unstructured data. This clearly explains the great demand for big data developers in the industry, and in order to excel in the analytics career, you can go for a big data certification. It will allow you to have a deeper understanding of big data that will eventually land you a high-paying job and a promising career.
To make a mark in the data world, here are the top seven skills you can apply in your big data career.
Apache Hadoop & Apache Spark:
With a projected growth from $17.1 billion in 2017 to $99.31 billion in 2022, the future of Hadoop and big data is positioned to touch great heights. Even when Hadoop has entered its second decade, it has evolved in the past couple of years, and Hadoop components such as Pig, Hive, HBase, HDFS, and MapReduce are highly demanded by companies. As many software companies use Hadoop clusters, becoming proficient in this technology is a must for aspiring professionals.
When it comes to Apache Spark, it serves as an easier and faster alternative for complex technology such as MapReduce. Apache Spark is an integral part of a system even if the Hadoop framework is implemented or not. Multiple organizations have adopted this technology and therefore look for professionals with Spark experience, making it a high paying job as well!
NoSQL & SQL
On the operational front in the big data world, NoSQL databases such as MongoDB and Couchbase have replaced conventional SQL (Structured Query Language) databases such as Oracle and IBM DB2. The NoSQL databases support in meeting big data storage, which complements the Hadoop framework with its data-crunching capability. If you are professional with NoSQL expertise, then you will be able to find various opportunities in different industries such as computer science and IT.
SQL, on the other hand, is a data-centric language focused on simplifying the processes and serves as a support for big data. A deep understanding of SQL will be an added advantage to a developer while working on other major big data technologies such as NoSQL.
The intricate nature of big data technologies and processes can be difficult to understand. However, with data visualisation tools such as Tableau and QlikView, a big data developer can analyze and interpret the data presented by the analytics tools, and help reveal any hidden information that may impact the end goal. A developer well-versed with data visualization tools has great chances to advance in their profession with large MNCs.
Machine Learning (ML)
Living in this digital age, almost every second person uses machine learning at least once in a day. It plays a significant component in the world of big data, and professionals who can apply ML for carrying out prescriptive and predictive analysis are limited. Thus, there is a dire need for big data developers to grasp the knowledge of ML as it can help in developing, recommending, classifying, and personalising systems.
Quantitative & Statistical Analysis
A quantitative and Statistical analysis is vital for the completion of the big data framework. So, if you have a degree in fields such as statistics and mathematics or experience in quantitative reasoning, then you’ve already won half the race. Gaining knowledge of big data tools such as SPSS, SAS, and R can help you unlock the big data system.
Experience in programming languages such as Python, Java, C++, and Scala can benefit you in big data analytics and help gain a competitive edge over peers. Moreover, developers with an understanding of data analytics are also in great demand by companies.
People who have expertise in data mining tools and technologies such as Apache Mahout, Rapid Miner, and KNIME are some of the most sought-after professionals in the market. Other than data mining, a developer with the ability to solve problems and have a creative outlook to an escalation will be able to perform tasks well. Implementing big data tools and technologies for an effective solution requires these skills in a professional.
The demand for big data is huge and companies are willing to invest a significant amount of money and time in big data developers. Plus with the big data market predicted to grow from $5.3 billion in 2018 to $19.4 billion in 2026, big data skills will remain in demand for a long time.
With this growing demand for big data technologies worldwide, big data as a career option is also becoming widely popular. Thus, by acquiring knowledge and attaining expertise in big data, the developers can pursue an exciting big data career!