10 Reasons for the Popularity of Hadoop Today

 

10 Reasons for the Popularity of Hadoop Today

 

Big Data is an emerging niche in the world of technology today. Regardless of being big or small, most companies are migrating to Big Data to move one step ahead in the competition with other contenders. However, storing enormous datasets is not an easy task; it is an area in which all the traditional approaches succumbed to failure. That was the start of the Hadoop evolution. So, what is Hadoop? It is a cluster of technologies and tools for storing and processing Big Data. The data is stored in a distributed environment and can be processed parallelly. Hadoop is the most popular machine learning tool used by many organizations to perform various complex tasks.

 

The best Hadoop Bootcamps in US introduces you to the fundamental concepts of the Hadoop framework such as Apache, Pig, Hive, MapReduce, Yarn, HBase, etc. Now, let us look at the three major components of this robust framework.

➔   HDFS or Hadoop Distributed File System: This is the component in which data is stored distributedly, and it has two parts - one name node and multiple data node. The features of HDFS that make it highly notable are that it can be implemented on commodity hardware and provides data security. Furthermore, HDFS is fault-tolerant and can transfer the data from one system to another in case of system failure.

➔   MapReduce: MapReduce is the component that deals with processing. It is separated into two phases called the Map phase and Reduce phase. MapReduce is used to process data parallelly on several machines. 

➔   YARN: YARN is the acronym for Yet Another Resource Negotiator and is the resource management component of Hadoop. YARN is built over HDFS and is responsible for distributing the load across various machines. This component also performs job scheduling tasks.

The best Hadoop coding Bootcamp will keep you updated on skills like data integration, MapReduce Cloudera navigation, data processing, etc.

 

What are some of the points that have made Hadoop popular?

 

1.    Simple to use: Hadoop has numerous built-in tools like Hive, Pig, Spark, HBase, Mahout that takes the load off the developer’s shoulder about processing data. Hadoop itself performs all of the processing operations.

2.    Open-source: It is an open-source framework and is hence available for free. Developers can download it and use it, make modifications as required, and share it as they please.

3.    Fault-tolerant: Hadoop enables the replication of data in three systems to avoid any difficulty during the instance of a system failure. The replicated information is stored in various nodes and used at the time of machine crashes.  

4.    Cost-effective: Hadoop is cost-effective community hardware compared to the relational frameworks and databases that need expensive hardware and high-end processors to process Big Data. It offers a cost-effective model, unlike the other technologies.

5.    Flexibility: This technology can deal with various datasets like structured(MySql Data), Semi-Structured(XML, JSON), Un-structured (Images and Videos), with equal efficiency. This makes Hadoop highly flexible; companies use it to derive insights from social media, email, log processing, data warehousing, fraud detection, etc.

6.    Big enterprises are using Hadoop: Most of the big names in the world of technology are turning to Big Data now and thereby using Hadoop in their operations. Various Fortune 1000 companies have incorporated Big Data into their tasks to help enhance business growth.

7.    High demand for Hadoop professionals: The functionalities of Hadoop has resulted in the increased demand for Hadoop professionals. Some of the roles that await candidates are Big Data Architect, Hadoop Developer, Data Scientist, Hadoop Administrator, Data Analyst, etc.

8.    Better salary: Due to the lack of professionals trained in Hadoop, the remuneration for titles related to the field has skyrocketed high scale. This is the reason for Hadoop developers being paid much higher than other IT professionals.

9.    Research tool: It is a powerful tool for research and many companies use it to analyze customer behavior and find answers to various business questions.

10.  Growth in Big Data: A major reason for Hadoop’s popularity is the growth of Big Data. Companies have now started realizing the benefits and advantages Big Data can offer them. This has emphasized the importance of mastering Hadoop among the developers.

 

Candidates who aspire to build a career in Hadoop are required to have some training and experience in Core Java, SQL, and Linux. After proper training, you will be able to build a career in industries such as finance, healthcare, real estate, entertainment, automobile, etc. In addition, these courses are apt for professionals in IT, data management, and analytics, looking forward to significant positions in Big Data related job profiles.

If you are in search of a Bootcamp that provides the best Hadoop training course, then head to SynergisticIT right away! The experienced mentors, who are also experts from the IT industry, will season you to get future-ready by educating you on all Hadoop processing components and how it fits in Big Data processing. So register today to launch a stable career in this emerging field.