Essay Sample on Exploring the Hadoop Ecosystem: Features and Benefits

Introduction

The specific application that will be considered in this discussion is the Hadoop Ecosystem, a framework that is used in solving the various issues experienced in the Big Data system. It offers multiple services and components that are involved in the process of analyzing, storing, maintaining, and ingesting details. The main role of these services is to supplement the different Hadoop components that include Common, YARN, MapReduce, and HDFS. It is critical to have the knowledge of the features of big data and analyze the various problems associated with big data to get an understanding of the way that this application works.

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It is critical to know that the Hadoop system is economical, for it enables ordinary computers to facilitate the processing of data and information. The various data copies are stored in multiple machines, and cases of hardware failure are significantly minimized. The scalability of the system is realized either through a horizontal or vertical process with the use of nodes enabling the realization of framework scaling.

Hadoop is a flexible system, for it enables the storage of both unstructured and structured data that is then used at a later date. In the past, data used to be stored in a central location and an issue that was encountered is the pushing of large volume of data. However, the problem has been resolved by the existence of the Hadoop system that enables the distribution of the data and information to various systems and then runs a computation based on the data location.

Ingest forms the first stage of the data processing phenomenon where it is transferred to Hadoop from various sources like the systems, local files, and relational databases. The next step is the processing of the information received, where it is stored in the distributed system with MapReduce and Spark critical in facilitating the process. Processing frameworks, such as the Pig, are used to analyze the data, which is converted using a map. The last step that is involved in the big data processing is the Access that allows the users to utilize the data.

When analysis the Hadoop application, it is important to look at the features of the big data and how the system facilitates solving of issues pertaining to big data. One of the features is the volume, and it is critical to note that the word big data relates to the enormous size. The size covers the value, and data being big or not is determined by its volume. Therefore, the Hadoop application system is useful in facilitating the movement of this data, considering that various issues are encountered when the volume is large. However, the application system solves these problems.

Another characteristic of Big Data is a variety, which covers data nature that can be in the structured and unstructured form and heterogeneous sources. In the past, most of the applications considered as data sources are the databases and spreadsheets, but things have changed in the present world. Emails, videos, monitoring devices, and audios are the sources considered in the analysis application with the Hadoop system relying on them for data and information.

The unstructured data possess various problems on matters regarding analyzing, storage, and the mining process by the Hadoop system comes much in handy to ensure that the issue is resolved and Big Data is managed efficiently. The third feature of Big Data is velocity and involves the data generation speed. There is a need to ensure that the data is generated fast enough to ensure that it manages to meet the demand and helps in understanding the potential in it. The data flow process is massive and continuous, and it facilitates the exchange process from one source to another.

Variability is a concept that covers the inconsistency with which data is portrayed, leading to the inability to effectively handle the data and derive any meaningful details from it. However, the Hadoop system helps to manage the issue to ensure that this Big Data issue is resolved. Some of the challenges of Big Data that the application helps to resolves are mainly involved in the capturing, processing, and managing of information.

According to Cathy O'Neil's, big data tends to have its weaknesses, and it is essential to ensure that the right applications, such as the Hadoop application are utilized to manage the issues. It manipulates democracy and raises the level of inequality. People in the modern world are being regulated by algorithms, and the weaponization of big data means that it can control various aspects of life. Big Data can destroy people's lives with the unethical usage of the information leading to the making of wrong decisions.

The algorithms affect the evaluation process and other practices in normal life. Some of the operations completed by human beings, such as job performance, cannot be directly measured. Mathematical models are claimed to have a quantification ability of critical traits in human life, such as creditworthiness and recidivism risk with harmful outcomes. The Big Data leads to the poor remaining in that state while the rich continue to amaze wealth, a situation that is creating a gap in society. These algorithms encode racism, and they can lead to people becoming vulnerable to weaknesses in life, and they can also trigger a global financial crisis.

It is crucial to have a system that will help to manage the various issues that are triggered by the existence of Big Data, and this is where the technological applications, such as Hadoop, are useful. According to O'Neil, there is a need to ensure that the world has reduced the way it is using data to protect elements from the making of wrong decisions. There is a need to know that just because the algorithms are implemented by a machine cannot perpetuate biases.

Some activities in normal life are deemed unworthy due to the data presented by an algorithm. For example, a tutor can be dismissed from their job for posting a low score in the evaluation assessment tool while some people have their credit ratings lowered for shopping in some highlighted stores. Police officers are made to patrol in a given location due to high crime data posted by an algorithm, an issue that shows the damage that can be caused by Big Data.

Conclusion

To sum up, the Hadoop application system is used in managing the weakness that is found when utilizing Big Data. The volume of Big Data is enormous, and this calls for the need to have a strong system that will manage its movement. In the past, it was a massive problem to exchange data since it was stored at a central point. However, advancement in technology has led to the development of the Hadoop system that is managing to cover these challenges.