Apache Spark applications and how it can change how we look at data

Posted by Emma Thompson on September 19th, 2019

With businesses amassing vast amounts of data, it is crucial for them that this data gets appropriately utilized. While there are lots of expensive ways to do so, Apache Spark offers a lot of value at a small price. The following explains some Apache Spark applications and how it can change the way we look and handle data.

Streaming of data

Data streaming implies the processing of live data. As data comes in, it can be further stored and be analyzed later, or it can be processed immediately and given some form for future use. Data streaming is gaining popularity because businesses are struggling with substantial data sets, and they don’t know how to address it. With Apache Spark development and operations, it becomes possible for them to stream this data as it arrives because there is no need to provide storage space. Only the data that gets streamed is known to be fit for use, and the rest is deleted as soon as possible. This can be very beneficial for businesses across sectors.

Machine learning

Machine learning is another of the beautiful Apache Spark applications that businesses can use. Machine learning is fast emerging as the No. 1 technology field, and there is a lot of growth you can expect in the next few years. There are many ways machines can be made to learn. Take the case of Gmail, the most popular email program in the world currently. It is continuously learning user behaviour and the mails that come in get classified into folders without you having to do anything. It is also learning the way you write emails and possible responses, and this way it is suggesting you answers to emails that are sent to you. All this is machine learning. With Apache Spark, you can integrate this technology to your business with ease and in a cost-effective manner.

Interactive analysis

With the help of Apache Spark development and operations, interactive analysis is also something that businesses can use to gain more customers and get more market share. Studying of API can be highly helpful for businesses in interacting with customers in a better manner. When customers are pleased, the chances are that they will come back to the business to purchase again.

Fog computing

Fog computing can be an effective way for businesses to deal with a lot of data they have on hand. Safely storing data can be a problem, and for that, fog computing is the perfect answer.

The good news is that the developers of Apache Spark are working on it so that it can emerge as a leader in technology. This must be used as a tool accurately to ensure that it gets fully utilized. Developers can benefit in various ways from Apache Spark as long as they find out how best to use it.