Does Apache Hadoop Have a Future

Does Apache Hadoop Have a Future

Does Apache Hadoop Have a Future.

Apache Hadoop is a framework that was created primarily to manage Big Data. Big Data became a significant technological aspect only with the growth of the worldwide web. There came to be a need to maintain a large amount of data that was generated from various sources on the internet. The data required processing and parsing, storage and retrieval, and this is where Hadoop had a role to play.

Hadoop brought with it a storage facility that will make it possible to store data of different kinds in one place. It not only solved the problem of not enough storage space; at the same time, it also ensured that the data stored can be accessed quickly. When more data needs to be stored, the system can also be expanded. Hadoop is cost-effective and also fault tolerant, and these two factors had a significant contribution to the success of the framework.

For all businesses today, customers are the primary focus. Understanding what the customers want and fulfilling those wants is what helps a business grow and prosper. Hadoop solves many of the complex challenges involved in business. It also addresses the problems with traditional approaches to data and data analytics. When the complexities in data management are reduced, analysing and understanding the data also becomes much easier.

Today, Hadoop has its uses in almost all the economic sectors. In the banking sector, for instance, some of the major challenges that banks face include tick analytics, social analytics for trading, credit risk reporting for enterprises, and so on. Hadoop in the banking sector helps to make pre-trade decisions, predictive analytics, sentiment measurement, and so on.

In the media, communication and entertainment sector, some of the major challenges are faced when analysing consumer data, analysing media usage patterns in real-time, leveraging mobile content and social media content, and so on. Hadoop helps in the different analyses and makes it easier to understand their different patterns. It also helps to create audience-based targeted content, audience recommendations, and so on.

In the healthcare sector, Hadoop is used at the University of Florida. The university collects public health data to track the growth and spread of chronic diseases. Tracking diseases helps to spread awareness among the public and give them a better understanding of it. It also helps to take preventive measures before it occurs to reduce the possibility of its occurrence.

Hadoop can also be of great help in the sector of education. The education sector requires data to be collected from various schools, colleges and universities for developing teaching methods, understanding students of different age groups, and so on. Using Hadoop to manage this data can give quicker results and help to improve education systems around the world.

Many believe that the Apache Hadoop ecosystem is slowly fading. With the rise and increase of cloud deployment and the need to store data on the cloud, such assumptions are likely to arise. Hadoop caters to on-premise data, and a lot of data management happens online these days. However, this does not mean that the need to manage on-premise data will diminish completely. In most enterprises, however big or small, both kinds of data management are prevalent and happen side by side. So it is unlikely that Hadoop will become obsolete any time soon.

In fact, the future scope of Hadoop is huge. It is a technology that caters to the needs of large enterprises, and these enterprises will grow even further. With the growth of new enterprises, the amount of data will also increase, thus increasing the demand for Hadoop as well as Hadoop developers. By 2020, the global market for Big Data and business analytics is expected to grow to $274 billion. It will also create more demands for experts in the field. Hadoop, therefore, has a prospective market. If you are planning on making a career as a Hadoop developer, now is the best time.