What is Big Data Analytics?
Big Data is basically a set of data that are so big and complex that the normal data processing system is not able to control the same. Now, this analytics mainly deals with the huge amount of data examination, analyze the same to fetch and understand the critical pattern and other different aspects. According to the current technology, with continuous and ongoing analysis, we can now initiate and analyze the different insights of these large data transaction processes.
The most important three-way implementations for Analytics are:
- Analyse and Optimized approach towards data transaction and decision making
- Based on the current process, a cost-effective approach plays an important role while playing with these large sets of data
- New products and services can be produced as per the current market standard
Advantages of Big Data Analytics
- It basically deals with a huge amount of data, and thus the analysis for the same leads to different innovative approaches and solutions. As a result, the analytics provides a lot of optimized solutions from a business perspective.
- It provides extensive and analytical support to the healthcare and core medical domain industries.
- From the current data science and research progression perspective, it also plays a very important role.
- The analytics is also helpful towards the financial approaches, trading markets and security patches as per the current industry standards.
Big Data Analytics Jobs Categories
Based on the current market standards, find below a few important job categories:
- Data Science Analyst: Data Science analysts, Data Scientists are the important job categories based on the big data analytics approach and studies. They used to be part of the data science team and would be responsible for the large data analysis and fetching important information. Therefore, they should be well versed with R, Hive, etc., programming languages.
- Big Data-Hadoop Developer: This is another important job category that is based on the analytics field. Developers use to make applications based on the Hadoop platform, which the customers can use.
- Hadoop Tester: It is from the testing and quality assurance perspective, and the testers should have knowledge of the Hadoop platform and the big data artifacts.
- Hadoop Architect: It is more like an advanced role to Hadoop developers. They deal with the complex data analytics and core architectures of the applications based on Hadoop platforms.
- Solution Architect: Big data solution architect is also one of the important job roles in data analytics industries. They basically deal with the reals world problem, and as per the analysis, they create an optimized solution to solve the problem. These are all based on the big data framework. Based on the concerning scenario, they decide the different solution artifacts like which programming languages need to be implemented and the other framework-related parameters. Therefore, they should be well versed with the programming languages, corresponding databases, frameworks, and other required tools to analyze the records and process the optimized solution.
Skill Set required for Big Data Analytics Jobs.
As per the current market scenario, there are huge openings in terms of analytics jobs. But to be the chosen one, proper skill sets and studies are required for this job.
Find below a few important skill sets that are needed to play different job roles:
1. Hadoop Developer / Analyst
To be a Hadoop developer or analyst, the following few important skill sets are required:
- A proper understanding of Hadoop log files and their corresponding artifacts
- Logfile management and review understanding is also required
- Proper understanding and decision making abilities while managing job flows
- Well verse with the Hadoop job scheduler functionalities
- Cluster coordination and workflow management knowledge
- A proper understanding of the Hadoop cluster framework and its related artifacts
- Proper understanding and writing knowledge in Python, HiveQL, R languages
- Proper understanding and experience in workflow and schedule management
- Understanding and working knowledge of Data loading and data analytics tools
2. Hadoop Architect
It is more like an advanced role for Hadoop developers. To be a Hadoop architect, the following few important skill sets are required:
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- A proper understanding of the Hadoop framework architecture and application customization
- Proper analysis and understanding of the required documentation
- Understanding the cluster programming knowledge
- Minute understanding of Hadoop architecture
- Proper understanding and writing knowledge in Python, HiveQL, R languages
- Proper understanding and experience in workflow and schedule management
- Understanding and working knowledge of Data loading and data analytics tools
- Understanding and working knowledge of Hive, Pig, Java MapReduce, HBase
3. Hadoop Tester
This role is more from the testing perspective. To be a Hadoop Tester, the following few important skill sets are required:
- A proper understanding of testing strategies and documentation of Hadoop artifacts
- Well verse with Java language to execute MapReduce testable artifacts
- Basic understanding of the Hadoop framework to get the bugs out of it.
- Proper understanding and writing knowledge in Python, HiveQL, R languages
- Testing and hands-on knowledge of Hive, Pig
- Solution-driven approach and working experience in MRUnit, JUnit frameworks
The salary for Big Data Analytics Jobs
As per the current market scenario, there are huge openings for big data analytics jobs. Please find below the average (approximate) salaries obtained from different surveys. The below figures show the approximate salaries of analytics professionals in India.
| Company | Salary Range (INR) |
| Cognizant Technology Solutions | 378K – 870K |
| Fractal Analytics | 600K – 1000K |
| Tata Consultancy Services | 476K – 750K |
| Wipro | 634K – 1548K |
| Deloitte | 763K – 1259K |
| CGI | 571K – 620K |
| Amdocs | 715K – 856K |
Conclusion
As per the current market standards and the above analysis, it is quite clear that there is a huge demand for big data analytics professionals. But to be in that position, proper understanding and knowledge of big data and Hadoop artifacts are required. Thus, it can be concluded that analytics jobs are one of the booming careers in the current Software Industry.
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