Big Data Hadoop & Spark

Top 5 Hadoop Myths Busted And The Facts You Should Know!

This entry is part 3 of 11 in the series Data Science

When it comes to choosing a big data technology that is both dynamic and strong, Hadoop is the unanimous choice. What is Hadoop? Apache™ Hadoop is an open source software platform that was developed to help large businesses organize massive volumes of diverse data and solve problems that arise in the process. Although Hadoop has gained a lot of hype for the benefits it delivers, but there’s a lot of misinformation surrounding it. Lack of awareness leads to misinformation that triggers the spread of Hadoop myths! Before you adopt or learn it, here are the top 5 Hadoop myths and the truth about them. 

Myth #1: Hadoop Meets All Your Data Management/Storage Needs

Fact: Hadoop is not a data warehouse framework that came into existence to manage enormous amounts of unstructured data. Despite its reputation as a single control point for data analytics, Hadoop cannot meet all your data needs. For organizations that handle large sets of data, it provides a comprehensive view of crucial data that’s spread over various clusters. Therefore, it effectively complements data warehouses.

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Myth #2: Hadoop Serves All Kinds Of Businesses

Fact: Claims that Hadoop is meant only for big businesses and corporations aren’t entirely true. However, Hadoop being a sophisticated data platform might not suit small data needs. Small-medium businesses are also apprehensive about using Hadoop as they would be short on the budget to employ data scientists who could derive insights from their data.

On the bright side, small and medium-sized businesses (SMBs) can use cheaper and simpler versions of data processing/storage tools in the initial stages. Ultimately, it’s up to each business to decide whether to invest in Hadoop at an early stage or once they have made a sizable profit. Here is a blog post that will give you more insights on how Hadoop was successfully applied in different industries.

Myth #3: Hadoop Has No Issues with Reliability and Security

Fact: Several researchers have confirmed that data on Hadoop remains vulnerable to cybercrimes and privacy breach. This is due to the lack of adequate security settings as well as regular checks for vulnerability. Hadoop is vulnerable to exploitation from cybercriminals as it is written entirely in Java. It is unstable due to its open-source nature and businesses are forced to constantly upgrade their Hadoop systems to maintain the integrity of their data.

Myth #4: Hadoop Is Free

Fact: Although Hadoop can be downloaded for free, using it needs highly trained experts to store, analyze and interpret information effectively. That makes it a risky investment. In addition to the open-source technologies, specific applications with other features need to be purchased and added to make Hadoop beneficial to businesses.

Myth #5: Anybody Can Learn Hadoop

Fact: If you are a novice, you need to have a flair for mathematics and statistics at least to get a basic understanding of Hadoop. Learning Hadoop becomes less tedious for those who are already trained in Java, Python, and R. Therefore, Hadoop is for those who have an elementary knowledge of computation and programming languages.

Like almost everything, Hadoop also has its fair share of limitations. Neither are all its features free nor is it a data warehouse by itself. Its limitations make it unsuitable for novices and SMBs. Knowledge of Hadoop myths and facts can help businesses use it in ways that are beneficial to them in the long run. Find out how well you know Hadoop concepts with this interesting quiz to get your very own personalized score.

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