Big Data Expert Guide 2020

It's not a surprise today that everything big data dominates the tech market. Big Data refers to large volumes of data that are structured as well as unstructured. For organizations, it is a very prized possession because it can be analyzed further for insights that might lead to better strategic business decisions.

Thus, the demand for big data experts has quadrupled in the last few years. According to IBM, the number of jobs for data professionals in the U.S will increase to 2,720,000 by 2020.

History of Big Data

The process of collating and storing large amounts of information has been around for a long time now. But the concept of Big Data came into light in the early 2000s when industry analyst Doug Laney defined big data with the help of three V's, i.e., Volume, Velocity, and Variety.

Volume: Organizations collect data from multiple sources like business transactions, industrial equipment, videos, social media, and smart devices.

Velocity: The massive torrents of data streams that happen at an unparalleled speed are handled in real-time using RFID tags, sensors, and smart meters.

Variety: Variety refers to the different formats that data is collected in, like structured, numeric data in a traditional database, or unstructured text, documents, emails, videos, etc.

Fundamental Skills for a Big Data Expert

A big data expert dons many hats. That's why they are expected to have a variety of skills, which can] add to their value. You can head to the website Global Tech Council for a profitable certification on Big Data Expert. Now let's discuss the skills you need to add to your resume if you're hoping for a career as a big data expert.

Programming Language Skills

You should have knowledge of programming languages. Some of the most common ones are Python, Java, and C++. If you know even one of these (we'd suggest Python), then it will be easy for you to work on others like Hadoop, Scala, etc. Working on big data platforms, you will be scripting at some point, so your programming languages will come in very handy. You can sign up for the crash course on Python Programming as it's conducive in a small amount of time.

Machine Learning and Artificial Intelligence(AI) Skills

Big data professionals who have machine learning and AI skills are in demand for organizations all over the world. It includes a thorough knowledge of neural networks, adversarial learning, logistic regression, reinforcement learning, decision trees, supervised machine learning, etc. This is because the more skills you acquire, the more valuable you become to the employer.

Quantitative Skills

A strong background in mathematics and statistics will be an added advantage for you if you're entering the big data training field. Quantitative analysis will become a part of your everyday life as a prominent data expert because you will be working with powerful tools like SPSS and R for statistical analysis. Quantitative analysis is a huge part of day-to-day life in big data because it's all about the numbers.

Data Mining Skills

Your data mining skills should be on-point as this is something you will be doing day in and day out. Extracting usable data from raw data will help you advance in your career. Some of the standard data mining kits you should be familiar with are Apache Mahout, Rapid Miner, KNIME, etc.

Problem-Solving Skills

Instead of calling it a skill, we think it's a personality trait. Those who have a naturally analytical mind, consistently working to sharpen it, will go a long way. You can keep practicing chess, solving puzzles, videogames, etc. that challenge problem-solving skills.

Data Structure and Algorithm Skills

Knowing how to streamline unstructured data is a hot skill, the big data expert has. It would be best if you familiarize yourself with types of data like queues, stacks, bags, sorting algorithms like quicksort, merge spot, heapsort, and data structures like red-back trees, hash tables, binary search trees, etc. You should know how to manipulate the findings from unstructured data into what is profitable for the organization.

Data Visualization Skills

The ability to interpret and visualize lies at the confluence of creativity and science. Not everyone is capable of it, but those who can have a higher market value for the employer. You need to understand the business environment and domain to represent your employer in the best way possible. Along with precision in science and mathematics, you need to have imagination and curiosity.

Why is Big Data so Important?

Big Data can transform any organization. It can drastically improve the functions and business decisions of an organization with simple managing and utilizing data operations. Here are three ways in which it impacts an organization.

Business Intelligence: The term refers to the ingestion, analysis, and application of big data for the betterment of an organization. For the modern market, business intelligence is an essential tool that predicts activity and challenge points.

• Innovation: By analyzing big data, we get a view of molecular interactions, patterns, and anomalies taking place within an industry or its market. The findings of this data can be used to invent new products and tools to drive better traffic.

• Reduction in Cost of Ownership: For any organization, a penny saved is a penny earned. Therefore, the use of big data in multiple areas of implementation can reveal which resources are underutilized or which aspect needs more attention. It allows managers to keep flexible budgets on the latest findings through data analysis.

Conclusion

Every organization in every industry is now using big data for better output and opportunities with its customer base. A big data expert is becoming the backbone of the company for the groundbreaking research they supply. Futuristic technologies like Data Science, Machine Learning, Artificial Intelligence, etc. will dominate the times to come. So sign up for the big data certification today!

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