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Big Data is the IT industry’s new buzzword. Apache’s Hadoop is used by IT giants Yahoo, Facebook & Google as a leading Big Data platform. The Big Data Hadoop industry is developing tremendously and shows no signs of deceleration. The transition between your current profession and your dream profession may be due to Big Data & Hadoop skills.
However, with continuous updates and added features and members in its ecosystem, Hadoop is a growth industry. Therefore, of course, a difficult question is how to start studying Hadoop for beginners and what to cover?
Skills required to learn Hadoop
Hadoop requires the full assistance of different programming languages. Core Java programming or advanced programming skills such as Python or even R, maybe this. You can use any of the object-oriented programming languages to write apps for Hadoop. Plus, some of Hadoop’s components support their programming languages, such as Pig supporting Pig Latin, and so on.
Whatever role you play in Big Data, knowledge of SQL is essential. Many businesses that used RDBMS are either switching to the Big Data arena or using a Big Data platform to incorporate their current infrastructure. Most of the industry-wide Hadoop implementations are focused on Linux. It is beneficial to have a previous basic working knowledge of Linux. Also, Hadoop versions 2.2 and later have native Windows support.
The smart stepping stone to learning Apache Hadoop
- Step #1: Understand the need for Hadoop learning
Stop for a while and think about why Hadoop is so popular? Know its usability in the technology market before you continue to learn Hadoop as a beginner. It will allow you to understand the core principle behind the features of Hadoop.
- Step #2: Know Hadoop components
Get familiar with the underlying Hadoop architecture. Try to understand how the architecture components operate, such as HDFS, MapReduce, and Yarn. If you get the image of this architecture, then concentrate on Hadoop’s overall environment, which usually means understanding various tools that function with Hadoop. Installing Hadoop and conducting hands-on practice is the perfect way to learn more about its practical aspects.
- Step #3: Must look at the theory
You cannot step further without understanding the theory. Therefore, it is essential to adequately capture the information following good books, articles, and case studies. Several good books can support you at all levels.
A way for beginners to learn Hadoop
Once you’re familiar with the Hadoop fundamentals, you’re able to step to the next steps to learn Hadoop. Let’s pursue the best way for beginners to know Hadoop.
- Step #1: Get hands-on practice
Practice makes excellent for an individual. The more you practice Hadoop hands-on, the more insights you get about it. The alternative approach is to access any training source from a pre-installed VM setup. You can both access and practice Hadoop and make the process of learning Hadoop faster and more effective.
- Step #2: Follow blogs
Following blogs helps one to obtain a greater understanding than with bookish experience alone. There are a decent number of online Big Data blogs accessible for beginners to give them an insight into the trends and innovation in the area.
- Step #3: Join an online training course
Joining a guided course always benefits well and makes it easier for beginners to learn Hadoop. Beginners who want to learn Hadoop can avail of many classrooms and online training facilities available in the market. Also, these courses come with additional kits and instruments for learning about the Hadoop ecosystem.
- Step #4: Earn a valuable certification
Your goal of studying Hadoop as a beginner is essentially to gain a position in the Hadoop industry. Pursue some advanced courses once you are fluent in Hadoop, which will propel you to better career opportunities. Starting with a career goal, a Hadoop certification pathway for reaching that goal, and main milestones are often recommended to help you monitor your progress and keep you focused on your plan. As long as you work in a data-intensive company, Big Data Hadoop certification will push your career in the correct direction.
Career prospects of Hadoop
The Internet of Things has generated an overwhelming need for people who can manage large datasets. Applying for jobs in data processing, knowledge, and experience with the Hadoop platform would be a massive advantage if the Big Data environment is on your roadmap.
Indeed.com lists nearly a thousand positions in Hadoop with titles such as Linux Hadoop Administrator, Hadoop Database Development Team Manager, Hadoop Engineer, and Hadoop Developer, to give an insight of what’s there. Annual wage figures vary from $80 K to well over $120 K for this in-demand and increasing specialization. Displaying Hadoop credentials in your resume, and LinkedIn is a perfect way to prove that you are an industry expert.
Hadoop is cost-effective, expeditious, robust, and scalable. The cloud platform and its suite of technologies and packages such as Hive, Spark, Kafka, and Pig serve numerous industry-wide use cases and effectively add to Hadoop’s prominence. A study by IBM and Burning Glass list Apache Hadoop, MapReduce, Apache Hive, and Pig as some of the most in-demand and highest-paying competencies in data science. Having these talents will improve your income power, holding you well over the income limit of $100,000.
A significant step to explore a career in Hadoop
Employment opportunities at Hadoop are rising at a high rate. But due to a large skill gap persisting in the industry, most of these work positions are still vacant. Therefore, now it is the right time for you to move forward and begin your journey to Big Data & Hadoop to develop a bright career.
Take an introductory Hadoop ecosystem course and see if a career is right for you in the fast-growing Big Data world. If you are excited about working on a large amount of data as a data scientist, studying, Hadoop could be crucial for your career. Many businesses are searching for someone to handle their vast amounts of knowledge, such as Google, Microsoft, Amazon, Apple, and more. Most courses are online, self-paced, and accessible now, so you can enroll and begin learning Hadoop today.