The Hadoop and Big Data Market is said to reach $99.31 billion in 2022 attaining a CAGR of 28.5%. Thus, learning Hadoop will help you land a job. This blog talks about Hadoop Salary, which companies are making use of Hadoop, the different job titles, and more.
- What is Hadoop?
- Where is Hadoop used?
- Advantages of Hadoop
- Which companies are using Hadoop in India?
- Job Titles for a Hadoop professional
- What is the Salary of Hadoop professionals in India?
- Is Hadoop still in demand?
What is Hadoop?
An open-source framework written in Java, Hadoop allows distributed processing of large datasets across clusters of computers using simple programming models. Hadoop was first developed by Doug Cutting and Mike Cafarella. It has been designed to scale up from a single server to thousands of machines, each of them offering local computation as well as storage. A Hadoop framework application is built to work in an environment that provides storage across a cluster of computers. If you wish to learn more about the concept, you can also take up a Hadoop Map Reduce course and upskill today.
Hadoop mainly has two layers as shown below:
- Processing/Computation layer (MapReduce), and
- Storage layer (Hadoop Distributed File System).
To know more about Hadoop check out this Hadoop Tutorial –
Where is Hadoop used?
Hadoop can be used in various scenarios, such as-
- Search – Yahoo, Amazon, Zvents
- Log processing – Facebook, Yahoo
- Data Warehouse – Facebook, AOL
- Video and Image Analysis – New York Times, Eyealike
Advantages of Hadoop
Flexible
An estimate of 20% of data in organizations is structured and the rest is known to be unstructured data. It is extremely crucial to manage unstructured data that goes unattended. Hadoop can manage different types of data whether it is structured or unstructured. It is simple and relevant. Hadoop supports Java, but with the help of the MapReduce technique, any programming language can be used. It can be used on various operating systems such as BSD and OS X but works best on Windows or Linux.
Scalable
New nodes can easily be added to the systems when required. There is no requirement to alter data formats or modify existing applications to do so. It is an open-source platform and is fault-tolerant. This means that if a node goes out of service, the system automatically allocates work to another location and continues to work.
Cost-Effective
Hadoop is loaded with great features and generates cost benefits by bringing parallel computing to commodity servers. This results in substantial cost reduction per terabyte of storage, in turn making it reasonable to model all our data.
Real-time
Hadoop is becoming more and more real-time as it can stream information into a cluster and analyze it. A standard approach is provided to a wide set of APIs for big data Analytics which comprises MapReduce, query languages, and so on.
Which Companies are using Hadoop in India?
There has been an increase in the use of Hadoop over the years. As of 2017, the Hadoop market was valued at $13.9 billion. With the growth in the market, the number of jobs and companies making use of Hadoop have increased as well, companies such as Google, Yahoo, Apple, Amazon, Oracle, Microsoft, EMC Corporation and many more are making use of Hadoop today.
Product Managers, Software testers, Database administrators, Hadoop Developers, Senior Hadoop Developers, etc., are required by these companies. These companies are looking to hire freshers as well as professionals with work experience, as long as they have the required skills and knowledge. Knowing AWS or Open-stack is a big plus point.
Managing Big Data has become a crucial requirement in most companies and the requirement of Hadoop skills is accelerating at an increasing pace. Check out these Hadoop courses to upskill yourself today!
Job Titles for a Hadoop Professional
Now that you are aware of the basics of Hadoop and why it is important, you can take a look at the various job opportunities available in case you are looking to start a career in this field.
Job Opportunities for Hadoop
1. Hadoop Architect
Hadoop Architects are expected to organize, administer and manage Hadoop on large clusters. A Hadoop Architect also documents a Hadoop based production environment involving Petabytes of data. S/He must know Java, MapReduce, Hive, HBase, PIG, and Sqoop. S/He must also be able to administer Linux/Unix environments involving Cluster Node configuration, connectivity, etc.
Major Roles and Responsibilities for Hadoop Architect
- Designing the technical architecture and application design
- Creating requirement analysis and choosing the platform
- Deploying the proposed Hadoop solution.
2. Hadoop Developer
Someone who loves programming and wishes to make the most out of it. A Hadoop Developer needs to have working knowledge and experience in Java, SQL, and any other scripting language. Good interpersonal skills are a plus point. Hadoop related technologies such as Hive, Hbase, Flume will also help in accelerating his/her career growth.
Major Roles and Responsibilities for Hadoop Developer
- Defining job flow
- Managing and reviewing Hadoop log files
- Managing Hadoop jobs using scheduler
- Cluster coordination services through Zookeeper
- Support MapReduce programs running on the Hadoop cluster
3. Data Scientist
Data Scientists generate, evaluate and integrate the knowledge stored in Hadoop environments. They need to have in-depth knowledge about business as well as data. Coding, designing intelligent analytic models, working with databases and complex SQL are all part of their requirements. A Data Scientist is expected to have knowledge and experience in SAS, SPSS and programming languages such as R. Another responsibility of a Data Scientist is to spot crucial issues and provide solutions for the same. They analyze data from various sources instead of a single source.
Major Roles and Responsibilities Hadoop Data Scientist
- Planning and developing big data analytics projects based on business requirements
- Working with application developers to extract data relevant for analysis
- Contributing to data modelling standards, data mining architectures and data analysis methodologies
4. Hadoop Administrator
A Hadoop administrator has a good understanding of Hadoop design principles and extensive knowledge about hardware systems. The job also involves troubleshooting issues and resolving them. S/He also has to maintain large clusters and requires strong scripting skills. Knowledge of MapReduce, Hive, Linux, and Java is a must.
Major Roles and Responsibilities Hadoop Administrator
- To keep a track of Hadoop Cluster connectivity and security
- Capacity planning and screening of Hadoop cluster job performances
- HDFS maintenance and support
- Setting up new Hadoop users
5. Hadoop Tester
A Hadoop tester is someone who troubleshoots and finds bugs in Hadoop applications. Just like any other software development lifecycle, a tester ensures that the application is working well under any given scenario. S/He also makes sure that MapReduce, PIG Latin scripts and HiveQL scripts are working correctly.
Major Roles and Responsibilities for Hadoop Tester
- Reporting defects to the development team or manager
- Ensuring these defects are fixed
- Consolidating defects to create reports
6. Others
Other job titles include Hadoop Analyst, Hadoop Engineer, Hadoop trainer, Hadoop Consultant.
Explore Business Analyst Jobs here!
What is the salary for Hadoop Developer in India?
In India, the Big Data Analytics sector is predicted to witness an eight-fold growth. It is said to reach $16 billion by 2025, according to the National Association of Software and Service Companies.
Your Hadoop salary will depend on several factors such as educational qualification, location, work experience, and so on. The average salary for a Hadoop Developer in India is said to be ₹4,57,000. The average salary for a Hadoop software developer is said to be ₹4,44,243 per annum, with a starting salary of ₹2,71,000. Hadoop experts can expect a rewarding career growth as they continue to upskill and gain more knowledge.
Is Hadoop still in demand?
When we take a look at predictions about the Big Data Industry, the trend doesn’t seem to be slowing down any time soon. Learning skills such as Hadoop, Spark, Kafka, etc., can land promising Big Data jobs. The Global Hadoop market is said to grow at a CAGR of 33% between 2019 and 2024.
