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If you've ever encounter the 'Large Information' term (which is quite common in the nowadays-mean solar day scenario) so you must have heard almost 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 marketplace is expected to grow more than $300 Billion past the year 2025. Moreover, diverse IT giants such every bit 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 Large Data so Hadoop Developer volition exist the right choice for you!!

Now the question arises – Who is a Hadoop Developer? In full 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 Engineering science, information technology is an open-source framework that allows you to clarify and process large information sets in the distributed computing environment. Meanwhile, Hadoop is being preferred past well-nigh every sector whether it be IT, Finance, Manufacturing or any other and companies are adopting the technology considering of numerous worthwhile reasons such as Scalability, Efficiency, Fault tolerance, and many more. Let'southward have a look at several major roles & responsibilities of a Hadoop Developer in an organization:

• Responsible for designing & evolution of Hadoop applications
• Analyze the big datasets to derive various crucial business insights
• Responsible for writing MapReduce jobs
• To maintain data privacy, security, and other related aspects
• Responsible for direction & deployment of HBase, etc.

Equally of now, you must have known near the Hadoop Developer task profile. At present, let's get back to the point – How to Get a Hadoop Developer? Though in that location are not any rigid or specific eligibility criteria for getting into the Hadoop Evolution domain and you can be whatsoever graduate, postgraduate, etc. to start your journey as a Hadoop Developer. However, having an academic background in several specific fields such every bit Computer Science / Information technology, etc. volition help you to get your fundamentals stronger such equally Databases, Programming Languages, etc. that'll be playing a vital part while learning the Hadoop Development. Moreover, various IT giants demand relevant academic background during the recruitment procedure hence it'll also help y'all to take hold of the worthwhile career opportunities.

Now, allow's go through the complete roadmap and talk over all the required skills & approaches to get a Hadoop Developer:

1. Empathise the Basics of Hadoop

Once yous'll exist set up to start your journeying of becoming a Hadoop Programmer, the first & foremost thing you're required to do is have a thorough agreement of the Hadoop basics. You're required to know well-nigh the features & applications of Hadoop and also know virtually various advantages & disadvantages of the technology. The more yous'll get your fundamentals articulate, the more it volition 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 near the particular field.

2. Get Skillful with Prerequisite Tech Skills

When we program to become out for a drive, we always check the fuel meter of the motorcar, 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 lot're required to bank check upon and possess all the prerequisites technical skills to brand your learning tour more convenient and effective. Let'southward take a wait at these required technical skills:

• Programming Languages – You can prefer to acquire Coffee every bit it is the most-recommended language to start with for learning Hadoop Development. The primary reason behind that is Hadoop was written using Java. Along with JAVA, you are recommended to become skillful with several other languages likewise such as Python, JavaScript, R, etc.
• SQL – You lot're required to take a sound cognition of Structured Query Language (SQL) equally well. Being practiced with SQL will besides help you while working with other query languages such equally HiveQL, etc. Moreover, you can also learn well-nigh Database concepts, Distributed systems, and other related concepts to get more exposure.
• Linux Fundamentals – Furthermore, you demand 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, y'all're recommended to cover several boosted topics as well like Concurrency, Multithreading, etc.

3. Get Familiar with Hadoop Components

So, equally of now, you must take known nigh the Hadoop basics and too aware of the prerequisite tech skills – now it's fourth dimension to have a step forwards and larn well-nigh the consummate ecosystem of the Hadoop such as its components, modules, etc. If we talk most the Hadoop ecosystem, it is majorly composed of 4 components –

• Hadoop Distributed File System (HDFS) – Information technology 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.
• Withal Another Resource Negotiator (YARN) – It is concerned with the resource management procedure.
• 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, Hog, HBase, Drill, and many more.

iv. Noesis of Relevant Languages like HiveQL, PigLatin, etc

Once you'll become done with the above-mentioned components of Hadoop, at present you lot're required to acquire about the respective query and scripting languages such every bit 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 nigh similar to the Structured Query Language. Furthermore, when it comes to PigLatin, it is concerned with the scripting language that is used by Apache Sus scrofa to clarify the data in Hadoop. Indeed, y'all demand to accept a good control over HiveQL & PigLatin to work inside the Hadoop environment.

v. Understanding of ETL and other relevant tools

Now, you need to dive deeper into the world of Hadoop Evolution and go familiar with several crucial Hadoop tools. You lot're required to have a thorough understanding of ETL (Extraction, Transformation, and Loading) and Information Loading tools such as Flume and Sqoop. In general, Flume is a distributed software used for gathering, assembling, and moving the large ready 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 accept some experience with statistical tools likewise such as MATLAB, SAS, etc.

6. Gain Some Easily-On Experience

Every bit of now, you have covered all the major concepts for getting into the Hadoop Evolution domain – now it'southward fourth dimension to implement all your theoretical learning into the practical world and gain some easily-on experience with Hadoop tools and components . It volition help you to understand the core concepts such every bit Data Warehousing & Visualization, Statistical Assay, Data Transformation, and various others in a more comprehensive style. 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 amend exposure.

7. Earn Relevant Certifications

Last only not to the lowest degree – yous're recommended to possess some relevant and worthwhile Hadoop certifications. Even so, it is not mandatory to have certifications for getting into the Hadoop development field just having such prominent certifications volition surely give you an edge over other Hadoop professionals and will reward y'all with various ravishing career opportunities also. Moreover, these certifications are the best manner to validate and showcase your skills in a detail domain. There are several almost-recommended certifications such as Cloudera Certified Hadoop Programmer (CCDH), Hortonworks Certified Apache Hadoop Developer (HCAHD), MapR Certified Hadoop Programmer (MCHD), etc. that tin be taken into consideration.

In improver to the above-mentioned technical skills and approaches, you're recommended to work on several crucial belittling & soft skills as well to add one more than plume to your hat. You can build & enhance the post-obit skills – Problem-Solving, Effective Communication, Time Management, Research & Analysis, etc. to become a worthwhile & successful Hadoop Developer. Furthermore, at that place are several most-recommended books mentioned below that you can consider for making your learning process more than constructive and user-friendly:

• Hadoop Definitive Guide by Tom White
• Pro Hadoop by Jason Venner
• Data Analytics with Hadoop
• Optimizing Hadoop for MapReduce past Khaled Tannir

Then, this is the straightforward roadmap that you must need to follow to brand a rewarding career as a Hadoop Programmer. Indeed, the demand for Hadoop Developers seems to exist increasing exponentially in the upcoming times and you lot just demand to follow the to a higher place-mentioned approaches with consistency to get into the particular domain!!

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Source: https://www.geeksforgeeks.org/how-to-become-a-hadoop-developer/

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