Big data has taken momentum in the previous years. The growing popularity of big data in the Internet of Things (IoT) has resulted in another term that’s gaining attention in the world of tech: Hadoop. No other big data processing tool has gained such attention compared to this open-source tool from Apache.
Hadoop, however, is an expanding field that comes with many features and continuous upgrades, as well as countless members in its ecosystem. If you’re just starting with the platform, it can be challenging. You can seek help from SEO providers, but it’s also best to learn what you can.
So where do you begin with Hadoop?
Meet Hadoop First
Apache Hadoop (commonly known as Hadoop) is an open-source framework that offers access to data distributed among numerous computers before processing the information and managing the resources across the network and computing resources involved.
Some people interchange Hadoop with big data, but that shouldn’t be the case. Hadoop is a framework designed for big data. It’s a smaller part of the big data’s bigger ecosystem.
The Skills Set You Need
Though it’s not mandatory, you should at least have a working knowledge of the technologies needed for Hadoop. If you are unfamiliar with them, however, you can still learn.
Training, books, and other online materials can give you a better grasp of the following technical skills:
Hadoop is related to any programming language. It can handle a variety of coding languages. For instance, data analysts require knowledge of Phyton or R whereas Hadoop developers should know Scala or Java. If you have prior knowledge of any programming language, learning Hadoop should be easier for you. You may go through these big data blogs to keep yourself updated for the same.
Linux Operating System
In terms of Hadoop installation, programmers prefer using Ubuntu as the server distribution and Linux as the operating system. So a basic knowledge of Linux’s commands can help you with Hadoop installation and file management.
Hadoop is all about processing and handling data. Hence, knowledge of SQL commands and queries are must-haves in terms of learning. Also, the Hadoop ecosystem has many software packages like HBase, Apache Hive, and Pig.
Understanding the Basics
Step One: Why are you learning Hadoop?
Before you master Hadoop as a beginner, think about your purpose. Why do you want to learn Hadoop? How can you benefit from its usability in the technology market? This will help you understand Hadoop’s functionalities and the core idea behind it.
To achieve this:
- Read white papers and case studies
- Follow Hadoop documentation
- Watch webinars
Step Two: Identify Hadoop components
Acquaint yourself with Hadoop’s underlying architecture. To do that, try to understand how the components like MapReduce, Yarn and HDFS work in Hadoop’s architecture. Once you understand the structure better, focus on Hadoop’s overall ecosystem, which means working with the system’s different tools.
Step Three: Understand Theories
Without understanding the theory, you cannot move forward. For this reason, follow articles books, and case studies to grab the knowledge properly. There are plenty of good Hadoop books for beginners and case studies to study and follow.
What is the Best Way to Learn Hadoop?
Once you’re familiar with the basics of Hadoop, move on to more advanced concepts. The best way to learn Hadoop is by following these steps:
Get your hands dirty
As the old saying goes, “Practice makes perfect.” Constant hands-on practice with the system provides you with more insights into Hadoop. Download and set up a virtual machine from either Cloudera or Hortonworks – the two primary vendors of Hadoop. Another way to do this is by pre-installing a set-up of the virtual machine. Both ways hone your Hadoop skills.
Follow Hadoop blogs
Following blogs is another way to gain a clearer understanding of the system. Many big data blogs are broken down for easier understanding. Search online for beginner blogs that offer perception on the innovation and trends in the field.
Sign up for a course
A guided course simplifies Hadoop learning for beginners. There are many online training facilities and classrooms that offer additional tools and packages for learning the Hadoop ecosystem.
The ultimate purpose of your learning journey is to secure a place in the Hadoop industry. To do this, you need to follow a certification map. Getting a certification from Cloudera or Hortonworks distinguishes you from others.
The Bottom Line
Learning any technology is a long journey. To excel in Hadoop, you’ll need the motivation and persistence to walk in today’s challenging world of technology – no matter your style. Use the resources available online or seek professional guidance to perfect Hadoop.
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