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Why Learn Big Data in 2024?

It is possible that you have heard of the trendy term “big data.” The truth is Big Data has people talking about it nonstop and learning about it. This article will discuss why you should learn big data in 2024.

Let’s begin by discussing the growing demand for professionals with skills in big data.

Demand for Big Data Professionals

It’s important to show the demand for experts in big data in the IT industry in order to inspire you to learn the subject. Big Data is evolving at a rapid pace, which makes it exciting.

You might not be aware that your laptops and cellphones are still collecting data when you sleep.

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Therefore, how much data is there in the world as a whole. It is almost uncountable, at about a trillion petabytes. 

Generally speaking, when we discuss the density of data, few questions come up.

  • Who makes use of this much data?
  • Who are the ones analysing it?
  • What is required to analyse it?

The concise answer to the preceding question is: A variety of Big Data experts, including Data Scientists, Architects, and Engineers, analyse an enormous amount of generated data by applying numerous Big Data techniques and skills.

As a result, there is an increasing need for Big Data specialists with a particular skill set. Nonetheless, there are still plenty of jobs available in this industry because of the low supply.

Why Learn Big Data in 2024?

Why Learn Big Data?

Following the previous sentence, you might be encouraged to learn big data today for the reasons listed below:

1.High salaries

The demand for Big Data experts, including data analysts, data scientists, data architects, and many more, is rising along with the volume of data. Big Data specialists at companies like Amazon, Google, Facebook, Microsoft, and others are paid a hefty sum of money to work on their consumer data.

According to Glassdoor, the average salary for a big data engineer in the United States in 2024 is $131,000.

2.Big Data is used in every industry

Data professionals contribute to many different industry verticals and are not limited to working for a small number of industry segments. Any of the following industries are open to you: finance, manufacturing, communications, information technology, retail, logistics, and autos.

Big Data is used by every industry to gain a competitive edge and make data-driven decisions. Thus, now is the ideal moment to pursue a career in big data. You can check out our online Big Data training to begin your journey.

3.Skill enhancement

Gaining knowledge about big data might be your best investment because it will equip you with skills that you need in both your daily life and your work with big data. Big Data analytics is generally a field full of puzzles and unanswered questions that you can address to improve your reasoning and analytical skills.

Even if you don’t want to pursue a career in big data, the statistics and problem-solving skills involved in big data are still very relevant and beneficial to you.

Why Learn Big Data in 2024?

4.Offers an edge over competitors

Making data-driven judgments is one of Big Data’s primary skills. The process of basing decisions not just on intuition but also on data analysis is known as “data-driven decision making.”  The choice is based on potential future trends rather than past experiences.

It is now possible to predict which products and services will do well in the marketplace, demonstrating the advantages of being the first to market.

5.More favourable career opportunities

The demand for big data analytics is quite high due to the expansion of datasets throughout the universe. By 2025, predictions indicate that the data will have grown to zettabytes. This implies that there will be a strong future demand for data scientists, engineers, and analysts. The globe will require more and more data analysts.

Thus, if you’re interested in becoming a data scientist, engineer, or analyst, now is the time to begin. Check out our big data Hadoop certification training.

6.Exponential growth of Big Data market

As was previously noted, the big data market is expected to expand rapidly worldwide and exhibit no signs of slowing down in the long run. The big data market is expanding at a rate never seen before, with projections showing that it will reach a size of USD 401.2 billion by 2028, up from USD 220.2 billion in 2023. The projected growth rate for this significant growth is expected to be 12.7% CAGR from 2023 to 2028.

The Big Data revolution may perhaps accelerate with the growing adoption of smart devices in rural and distant places.

The skills needed to learn big data

You need to be aware of various skills you must learn when learning Big Data. These are the Big Data skills.

  • Programming languages including Java, Python, and C++
  • Apache Hadoop
  • Apache Spark
  • Hive
  • Machine Learning
  • Data Mining
  • Data Visualization
  • SQL and NoSQL databases
  • Data Structure and Algorithms

The above-mentioned skills will be in your hands when you will start learning all about Big Data.

Big Data Job Roles

Let’s now discuss the types of jobs you should apply for if you want to succeed in the big data industry.

Data Engineer

A data engineer serves as a liaison between corporate executives and data scientists. They are in charge of informing data scientists about business objectives so that they can adjust their work to meet the targets. In addition, data engineers manage enormous volumes of unprocessed data and assess fresh data sources.

Data Analyst

The data analyst is a problem solver who designs automated ways to retrieve data from databases, analyses data systems, and generates reports.

Data Scientist

A data scientist’s job is to analyse unstructured and organised raw data to extract information that business executives can utilise to make critical decisions that affect the expansion of their company.

Data Architect

Data Architects are those individuals of the Big Data team who are knowledgeable about every facet of database design. They work together with big data engineers to design and test new database prototypes as well as create data pipelines.

Conclusion 

You can decide how important it is to incorporate big data into your life after learning about the many advantages of learning big data, the skills needed for it, and the various big data-related career roles. Big Data may hold the key to helping you advance in your profession.

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