Two things are talked about a lot in today’s data-centric digital world. One is Big Data, and another is Hadoop. Big Data is the technology behind the proper storing, distribution, shredding and analysis of data to filer it into a usable form. Hadoop is the most popular Big Data platform which offers a robust and easy to use interface that has revolutionized the world of database management. If you got suggested by some expert about using Hadoop based database in your work, then here are some things you should learn about Hadoop in easy to understand, jargon-free laymen terminology, which will tell you why and how it comes to your use.
The application of Hadoop
Tons of data get generated every day by websites, companies, businesses, organizations, surveyors and what not. All these data come with important usable values and stuff in them. But not the whole part of the data is needed. Some useful part of raw data needs to be extracted while the unwanted part which adds to no value can be discarded. This kind of shredding of data and filtering of the useful part for further storing and processing of it can be handled with ease by Hadoop. In short, Hadoop is to analyze raw data and extract the useful portion from it.
The wide range of application of various data sources
Data that gets generated and collected from various sources are both in a structured and unstructured form. Sources can be too diverse like from clickstream, social media, emails, etc. Now so many diverse sources contributing to the data makes the work complex wherein you have to arrange all data in a single understandable and usable format for the organization or project. Here Hadoop comes into action and use. It has the ability to scrape off usable data from any kind of diverse source and format and convert it into the usable streamlined format. Some of the specialties of Hadoop are an analysis of market surveys and campaigns, detection of fraud, and data warehousing.
Hadoop is cost effective
The conventional data sorting and arrangement methods made companies suffer great losses when they had to delete chunks of raw data, simply because they could not be filtered well to extract usable data, or just because of a shortage of space to store the data. Old data had to be deleted to accommodate newly generated data too. This resulted in the loss of valuable data. Hadoop came with a permanent cost effective solution to all that. With Hadoop, data could be stored limitlessly without having to think of space. With Hadoop, all raw data can be stored forever for a company, and this raw data can be fetched anytime later when needed. No data ever need to be deleted when working with Hadoop which otherwise had to be done for reducing storage expense.
Speed of operation
Hadoop no doubt increases the speed of operation and data processing. It happens because of the method it stores data. The tools used for data processing, and the data itself all are stored in the same server. This makes processing easier and faster. The storage of data is also secure and on a file system which is distributed.
Data duplication and security
Data stored by Hadoop is extra secure because of its system of file duplication. Whenever new data is generated and stored, Hadoop automatically creates multiple copies of the data. These duplicates or copies of the data are stored among several file systems in servers, so that failure of one computer in the system does not lead to loss of data. The importance of raw and processed both forms of data is huge, which Hadoop realizes. Hence this duplication of data is a part of smart database management with Hadoop, and this secures every bit of data until it’s deleted willingly by the company or user.
Few shortcomings of Hadoop you need to know as you proceed with it
There are some shortcoming in the Hadoop system which you must learn of, as you plan to work with it. This will help you use the technology at its best for securing your rights and data in the best way.
- While data as the value is duplicated and stored in a way that there would never be a data loss, the part of the security of data and data theft is not that tight in Hadoop. This means sensitive data can be misused if the user in charge of the data is not taking any extra measure on his part to secure the data. Definitely, data can be secured to save from theft and misuse if the user takes extra precautions, but this feature is absent by default in Hadoop database management.
- If you are a small business or a small organization, then Hadoop is not for you, as it does not deal with small packets of data. Hadoop is only for huge amounts of data, and hence the perfect solution of big businesses.
- Being Java-based Hadoop is one such database building platform that is vulnerable to cybersecurity threats, if not take precautionary measures.
These problems can all be taken care of if you get guided through Hadoop use and Hadoop based database administration by expert and reputed, reliable services like RemoteDBA.com. Such services have the know-how to use the latest technology while covering their shortcomings with their own expertise, so that you may enjoy technology while staying secured from threats.
Whether to use Hadoop for your database management or some other solution, is something that has to be decided at the first step upon analysis of your business type, data type, data volume, filtering and sorting requirements, and more such factors. And such decisions are best taken by experts who manage the data. Therefore as you hire remote DBA expert, get the thorough data management consultation from them too to get started with your database management. That is how the database formation and administration in a business or company get shape over time.