The Benefits of Hadoop Big Data Solutions

If you own a large enterprise and have been collecting big data without being able to make use of it, you need to understand its importance and take an action right now. The biggest concern for large enterprises today is big data. They know the data they are collecting is important for them but can’t do anything about it because they don’t know where to start.

What Benefits Does Hadoop Have For My Company?

First, Hadoop, unlike other softwares, stores data in a distributed storage environment i.e. your data is distributed among many different storage media. The servers that are storing the big data and running Hadoop on them are working as nodes in the system. If a server stops working or loses data accidentally, the copy houses of the data will bring the data back. The scalability of Hadoop system is unmatched by any other software. You could add as many servers and resources to the system containing your big data as you want without disturbing the current operations at all.

The HDFS storage component of Hadoop makes it one of the fastest platforms for handling files of huge sizes. The MapReduce methodology of Hadoop makes it the most suitable software for handling big data because the work on this system is performed in paralleled directions i.e. many different aspects of big data are being handled at the same time by many processors installed on the servers. The open source nature of Hadoop frees you of any obligations of buying the licensing or renewing it regularly – thus, no licensing costs too. There are limitations on what Hadoop can achieve but it is probably one of the fastest evolving softwares today that’s getting better with every passing minute.

Is There A Use Case To Prove The Need Of Hadoop?

The best case to study the benefits of managing and processing big data intelligently is related to the healthcare industry. Just recently a group of people conducted a study on the outburst of flu in New York by using the online social networking platform – Twitter. These people belonged to the University of Rochester in New York. After the analysis of 4 million tweets for nearly 30 days the group made a prediction. By getting the GPS data of the tweets and plotting it on a heat map they were able to identify the outburst of flu in other locations 8 days before it happened. All they did here was put the big data to good use.