Understanding the ins and outs of a system as complex as Hadoop is something that could take even the most dedicated professional weeks or even months. Yet, medical professionals need to have at least a basic appreciation for what Hadoop is, what it does, and why it matters to them. This blog will address all of those issues and more. Here, we’ll examine everything you need to know about Hadoop architecture:
What is Hadoop?
In simple terms, Hadoop is a data storage and analytics program. It is similar to a data warehouse, but it differs in several key areas. Hadoop operates in this way: information is first collected by the Hadoop Distributed File System (HDFS). HDFS then stores the data in “clusters.” Note, because Hadoop organizes information in this manner, it is able to increase its data capacity. Next, the second phase of Hadoop architecture, MapReduce, processes data from clusters. And lastly, the third aspect of Hadoop architecture, Yet Another Resource Negotiator (YARN), allocates system resources to ensure data processing occurs smoothly.
What Does Hadoop Mean for Healthcare Organizations?
The above is a very simplified explanation of what Hadoop is and how it functions. However, it’s important to realize that Hadoop does operate in a distinct way from other data storage and analytics programs. It’s because of this unique design that Hadoop is able to process both structured and unstructured data. Handling structured data is fairly straightforward, but for years medical facilities, hospitals, and healthcare organizations struggled to utilize unstructured data such as notes, emails, audio files, and detailed doctor’s reports. And there is a lot of useful information within unstructured data that hospitals and healthcare facilities may miss out on if they don’t have a solid data governance strategy. With Hadoop, though, medical professionals can make use of unstructured data to make more informed decisions regarding care, treatment, and patient processing.
Hadoop Uses & Benefits
Hadoop’s features allow professionals in the medical and healthcare fields to perform tasks with greater efficiency and effectiveness. There are a number of practical uses of Hadoop software including:
- Clinical trials where large amounts of data need to be stored
- Patient care where unstructured data (such as doctor’s notes) needs to be accounted for.
- Predictive Analytics.
- Faster policy implementation.
Hadoop enables healthcare organizations to process more diverse sets of information, analyze that information faster, and put those conclusions drawn from analysis into practice. For those reasons and more, Hadoop offers businesses in the medical field several key advantages like enh
anced cost-effectiveness, faster internal processes, and the ability to develop more sophisticated treatment methods. Whether your company focuses on patient care, clinical trials and experiments, or adapting to changes in healthcare, Hadoop can help your team.
The Bottom Line
Healthcare organizations rely on big data and data analytics to address a myriad of issues. And most of those issues –– and solutions –– are unique to the medical field. At Amitech, we specialize in offering data analysis services to businesses in this specific sector, and we understand the challenges and problems medical professionals encounter every day. Contact us here for more information.