The importance of data is not an unknown factor for many people. Over the years, the term big data has become more prominent as more devices are being connected to the network. Businesses need professionals who are capable of digging into the large pile of big data and discover reliable insights.
Therefore, candidates aspiring to learn big data search for the most popular technology to start with. And what could be more popular than Hadoop in the field of big data technology? However, there are many doubts in the minds of candidates regarding Hadoop and the starting points.
It is essential to know your stepping stones to learn big data and Hadoop effectively and establish your career as competent big data personnel. Let’s find out the basics you should know before starting your journey with learning big data and Hadoop.
Why are Big Data and Hadoop Important?
First of all, you have to notice the prominent impact big data is having on organizations in the present market. Hadoop is a reliable open-source framework implemented by many organizations all over the world. Therefore, expertise in Hadoop could help you land up in roles related to Big Data Analyst.
The average salary for a Big Data Analyst is almost $161,000 per year. So, you can clearly see the promising career advantages you would get if you learn big data. The potential career opportunities also include job roles such as Big Data and Hadoop Developer, Tester, Administrator, or Architect.
Requirements for Learning Big Data
Now that you know the career opportunities you have by learning big data, it is essential to reflect on the prerequisites. You need to have hands-on experience and fluency in working with the following technologies to learn Hadoop.
Knowledge of Linux
The foremost requirement to learn big data is working knowledge of UNIX. You should have expertise in using Linux and other server distributions such as Ubuntu. This aspect is essential for the installation of Hadoop.
Expertise in SQL
You need to have promising database technology expertise, particularly in SQL Database technology. Every big data tutorial focuses on the management and processing of data. Therefore, you need fluency in SQL queries and commands for learning Hadoop.
The next critical requirement for you to learn big data and Hadoop refers to programming skills. You must have expert command over a high-level programming language such as Python, Java, Scala, Node.js, or R. Even if you face challenges in learning a programming language solely for learning big data, there are a lot of opportunities to find training in programming languages specifically for big data.
Start with a Basic Online Search
Now, you must shift your attention towards searching for the ideal resources to learn big data. Start with the simplest solution- online search! You can find many resources that can help you discover all fundamentals of big data and Hadoop technology. A basic Hadoop tutorial can help you uncover all the fundamental aspects related to Big Data and establish the foundation of your learning.
Study the Architecture of Hadoop
Cover all the information about the basic architecture of Hadoop technology and you can understand its functionality. You should identify the functionality of each component in Hadoop architecture. As a result, you can gain a formal understanding of the way Hadoop processes data and delivers insights.
Theoretical Knowledge Matters
The most important and the cardinal rule to learn big data is to familiarize yourself with the theory. You should try out some of the notable books on big data and Hadoop for beginners to accomplish theoretical understanding.
- Big Data: A Revolution That Will Transform How We Live, Work and Think
- The Data Revolution: Big Data, Open Data, Data Infrastructures, and Their Consequences
- Big Data: Principles and best practices of scalable realtime data systems
- Big Data in Practice
Additional Resources for Learning Big Data
The next step for you in learning big data beyond a Hadoop tutorial indicates towards credible training courses. You can find many reliable online technology training providers with specialization in big data. Some online training providers also have specific certification courses that you can complete for showcasing your expertise in big data.
When you have gained formidable knowledge in big data, in theory, you should immediately move towards hands-on practice. It is essential to utilize your skills and learn in real-time scenarios involving big data. You would not only master your skills in big data technology but also obtain familiarity with actual scenarios that you would face as a big data professional.
Are You Ready to Learn Big Data?
Therefore, you could start learning big data and Hadoop by following the pointers mentioned here. You must set clear objectives for pursuing a career in big data before you start learning. Candidates must have an interest in the value of data and the different ways it can be modulated for business use cases.
If you want to learn big data, you must have the capability to adapt to emerging changes in technology. The field of big data technology is constantly evolving and you have to be ready to cope with them. Most important of all, you must have the dedication to pursue learning big data. Start right now with a decision to kickstart your career in big data!