If you’ve ever come across the ‘Big Data‘ term (which is quite common in the present-day scenario) then you must have heard about the ‘Hadoop‘ as well. A major fraction of the big tech companies is utilizing the Hadoop technology for managing their huge distributed datasets. Statistically, the Hadoop market is expected to grow more than $300 Billion by the year 2025. Moreover, various IT giants such as Amazon, IBM, Cisco, etc are offering numerous career opportunities in the Hadoop domain and if you’re looking forward to making a rewarding career in Big Data then Hadoop Developer will be the right choice for you!!
Now the question arises – Who is a Hadoop Developer? In general, a Hadoop Developer is a professional having expertise in Big Data technologies and is responsible for developing Hadoop applications & systems. If we talk about Hadoop Technology, it is an open-source framework that allows you to analyze and process large data sets in the distributed computing environment. Meanwhile, Hadoop is being preferred by almost every sector whether it be IT, Finance, Manufacturing or any other and companies are adopting the technology because of numerous worthwhile reasons such as Scalability, Efficiency, Fault tolerance, and many more. Let’s take a look at several major roles & responsibilities of a Hadoop Developer in an organization:
- Responsible for designing & development of Hadoop applications
- Analyze the large datasets to derive various crucial business insights
- Responsible for writing MapReduce jobs
- To maintain data privacy, security, and other related aspects
- Responsible for management & deployment of HBase, etc.
As of now, you must have known about the Hadoop Developer job profile. Now, let’s get back to the point – How to Become a Hadoop Developer? Though there are not any rigid or specific eligibility criteria for getting into the Hadoop Development domain and you can be any graduate, postgraduate, etc. to start your journey as a Hadoop Developer. However, having an academic background in several specific fields such as Computer Science / Information Technology, etc. will help you to get your fundamentals stronger such as Databases, Programming Languages, etc. that’ll be playing a vital role while learning the Hadoop Development. Moreover, various IT giants demand relevant academic background during the recruitment process hence it’ll also help you to grab the worthwhile career opportunities.
Now, let’s go through the complete roadmap and discuss all the required skills & approaches to become a Hadoop Developer:
1. Understand the Basics of Hadoop
Once you’ll be ready to start your journey of becoming a Hadoop Developer, the first & foremost thing you’re required to do is have a thorough understanding of the Hadoop basics. You’re required to know about the features & applications of Hadoop and also know about various advantages & disadvantages of the technology. The more you’ll get your fundamentals clear, the more it will help you to conveniently understand the technology at the advanced level. You can opt for various online & offline resources such as tutorials, journals & research papers, seminars, etc. to know more about the particular field.
2. Get Proficient with Prerequisite Tech Skills
When we plan to go out for a drive, we always check the fuel meter of the car, take the driving license, wear the seat belts, etc. to avoid any mishap during the journey. Similarly, before starting your journey of learning Hadoop Development, you’re required to check upon and possess all the prerequisites technical skills to make your learning tour more convenient and effective. Let’s take a look at these required technical skills:
- SQL – You’re required to have a sound knowledge of Structured Query Language (SQL) as well. Being proficient with SQL will also help you while working with other query languages such as HiveQL, etc. Moreover, you can also learn about Database concepts, Distributed systems, and other related concepts to get more exposure.
- Linux Fundamentals – Furthermore, you need to learn about the Linux fundamentals also as the majority of the Hadoop deployments are based on the Linux environment. Meanwhile, while going through Linux Fundamentals, you’re recommended to cover several additional topics as well like Concurrency, Multithreading, etc.
3. Get Familiar with Hadoop Components
So, as of now, you must have known about the Hadoop basics and also aware of the prerequisite tech skills – now it’s time to take a step forward and learn about the complete ecosystem of the Hadoop such as its components, modules, etc. If we talk about the Hadoop ecosystem, it is majorly composed of 4 components –
- Hadoop Distributed File System (HDFS) – It is concerned with the storage of large data in clusters across multiple nodes.
- Map Reduce – A programming model for handling and parallel processing of large data.
- Yet Another Resource Negotiator (YARN) – It is concerned with the resource management process.
- Hadoop Common – It contains packages and libraries which are used to support Hadoop modules.
Moreover, you need to get familiar with other crucial facets & technologies of Hadoop such as Hive, Spark, Pig, HBase, Drill, and many more.
4. Knowledge of Relevant Languages like HiveQL, PigLatin, etc
Once you’ll get done with the above-mentioned components of Hadoop, now you’re required to learn about the respective query and scripting languages such as HiveQL, PigLatin, etc to work with the Hadoop technologies. In general, HiveQL (Hive Query Language) is concerned with the query language to interact with the stored structured data. Meanwhile, the syntax of HiveQL is almost similar to the Structured Query Language. Furthermore, when it comes to PigLatin, it is concerned with the scripting language that is used by Apache Pig to analyze the data in Hadoop. Indeed, you need to have a good command over HiveQL & PigLatin to work within the Hadoop environment.
5. Understanding of ETL and other relevant tools
Now, you need to dive deeper into the world of Hadoop Development and get familiar with several crucial Hadoop tools. You’re required to have a thorough understanding of ETL (Extraction, Transformation, and Loading) and Data Loading tools such as Flume and Sqoop. In general, Flume is a distributed software used for gathering, assembling, and moving the large set of data to the HDFS or other related central storage. Meanwhile, Sqoop is concerned with a Hadoop tool used for transferring the data between Hadoop and relational databases. Moreover, you’re recommended to have some experience with statistical tools also such as MATLAB, SAS, etc.
6. Gain Some Hands-On Experience
As of now, you have covered all the major concepts for getting into the Hadoop Development domain – now it’s time to implement all your theoretical learning into the practical world and gain some hands-on experience with Hadoop tools and components. It will help you to understand the core concepts such as Data Warehousing & Visualization, Statistical Analysis, Data Transformation, and various others in a more comprehensive manner. Moreover, you can opt for several internships, boot camps, training programs, etc. to get the real-time environment and other resources such as live projects, huge datasets, etc. for better exposure.
7. Earn Relevant Certifications
Last but not least – you’re recommended to possess some relevant and worthwhile Hadoop certifications. However, it is not mandatory to have certifications for getting into the Hadoop development field but having such prominent certifications will surely give you an edge over other Hadoop professionals and will reward you with various ravishing career opportunities as well. Moreover, these certifications are the best way to validate and showcase your skills in a particular domain. There are several most-recommended certifications such as Cloudera Certified Hadoop Developer (CCDH), Hortonworks Certified Apache Hadoop Developer (HCAHD), MapR Certified Hadoop Developer (MCHD), etc. that can be taken into consideration.
In addition to the above-mentioned technical skills and approaches, you’re recommended to work on several crucial analytical & soft skills as well to add one more feather to your hat. You can build & enhance the following skills – Problem-Solving, Effective Communication, Time Management, Research & Analysis, etc. to become a worthwhile & successful Hadoop Developer. Furthermore, there are several most-recommended books mentioned below that you can consider for making your learning process more effective and convenient:
- Hadoop Definitive Guide by Tom White
- Pro Hadoop by Jason Venner
- Data Analytics with Hadoop
- Optimizing Hadoop for MapReduce by Khaled Tannir
So, this is the straightforward roadmap that you must need to follow to make a rewarding career as a Hadoop Developer. Indeed, the demand for Hadoop Developers seems to be increasing exponentially in the upcoming times and you just need to follow the above-mentioned approaches with consistency to get into the particular domain!!