According to market research, Big Data is one of those industries with a talent shortage. This includes roles such as Database Developer, Data Modeler, Big Data Engineering, and many more.
Why should one take a professional Big Data course in 2022?
The huge amounts of data they have gathered and analyzed over the years have made new technologies more dependent on it. It’s no surprise that many Emerging Technologies such as Machine Learning, Artificial Intelligence and Edge Intelligence all have connections to Big Data.
We are on the brink of scientific breakthroughs and discoveries that will increase our ability to store and process data over the next five years. Quantum Technologies such as Quantum Computing or Quantum Communications already have the potential to transform how we view Data.
You can learn Big Data Tools such as Apache Spark, Apache Hadoop and Storm. This will put you in a great position for a lucrative career in Big Data.
Did you know that the World Wide Web was created in 1991? The technological advancements we have made in the past 30 years, since the inventions of the World Wide Web, are amazing. Experts predict that the next decade (2020-2030) will see greater technological growth in Big Data, AR/VR/XR and Artificial Intelligence.
What is Big Data Hadoop? How can you learn Big Data Hadoop online in 2022?
These companies are increasingly dependent on Big Data and Big Data Technologies. This opens up huge opportunities for those with the skills to interpret this Data and find patterns and logic that can hugely benefit their company.
Basic Skills Requirement to Learn Hadoop For Big Data
With the right mentorship and guidance, learning Hadoop can be simple. But, before you can learn Hadoop, certain skills and prerequisites exist. This doesn’t mean that people with no IT background are incapable of learning Hadoop. Many people who have never had to program can learn Hadoop. With the right concentration and determination, anyone can learn Hadoop.
Are you looking to learn programming to use Hadoop to analyze big data?
Basic programming skills such as Python and JAVA are essential. Python is a widely-used programming language and one of most in demand. Python is much easier than JAVA. Java skills are necessary for development work, while Python skills are more helpful for Hadoop’s analysis. It is not difficult to learn, but it is possible to improve your skills with dedication and practice.
SQL Knowledge is an essential skill to learn Hadoop for Big Data.
Big Data requires the ability to query using SQL and similar query languages. Many companies are transitioning and need to learn new Big Data technologies.
Although SQL knowledge is helpful in understanding and learning the Hadoop Course more quickly and efficiently, it’s not a barrier to learning Hadoop even if your SQL skills aren’t.
What are the Different Jobs and Salaries in Big Data Analytics?
The next decade (2021-2022) will transform many industries and make them more efficient. This is due to the power and efficiency of data storage and processing. You can get a rewarding career by acquiring skills in Big Data Industry.
Big Data Engineer / Big Data Architect
Big Data Engineer is responsible for creating, building, and managing models for Big Data. This is a key role in any company with a Big Data infrastructure. The Big Data Engineer ensures smooth operation and maintains the infrastructure. The salaries of Big Data Engineers reflect this dependence. Their average annual income ranges between 100,000 USD and 1,50,000 USD.