Understanding Hadoop better

Understanding Hadoop better

When you start learning Big Data, you will possibly come across Hadoop. Hadoop Developer is one of the most aspired and highly-paid roles in the current IT Industry. In this article, we will explore more about Hadoop and the responsibilities of a Hadoop Developer.

Apache Hadoop is an open-source, Java-based software platform that manages data processing and storage for big data applications. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware to deliver high availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers may be prone to failures.

Hadoop was a significant development in the ample data space, wrote Databricks. It is credited with being the foundation for the modern cloud data lake. Hadoop has democratized computing power and made it possible for companies to analyze and query big data sets in a scalable manner using free, open-source software and inexpensive, off-the-shelf hardware. This was a significant development because it offered a viable alternative to the proprietary data warehouse solutions and closed data formats that had ruled the day until then. 

The core modules of the Hadoop framework are: 

  • Hadoop Common
  • Hadoop Distributed File System (HDFS)
  • MapReduce
  • Yet Another Resource Negotiator (YARN)

Benefits of Hadoop 

With the introduction of Hadoop, organizations quickly had access to the ability to store and process vast amounts of data, increased computing power, fault tolerance, flexibility in data management, lower costs compared to DWs, and greater scalability – keep on adding more nodes. Hadoop works on low-cost, commodity hardware, making it relatively affordable to maintain. The system automatically replicates information to prevent data loss in the case of a node failure.

Responsibilities of a Hadoop Developer

The responsibilities may vary depending on the sector, however, generally, a Hadoop Developer is responsible for the actual coding, development, and design of the Hadoop applications. 

A Hadoop developer must be able to write programs according to system designs and have strong knowledge of coding and programming. 

The average Hadoop Developer salary in Canada is $126,750 per year or $65 per hour. According to Talent.com, entry-level positions start at $93,125 per year, while most experienced workers make up to $161,363 per year, based on Talent.com.

Suppose you are interested in a career in IT. In that case, we offer a Diploma in Database Administration & Big Data Predictive Analytics and an Advanced Diploma in Data Science & Artificial Intelligence diploma for your comprehensive knowledge in Big Data and Hadoop Developer. Please contact us today.  

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