We know for insurance providers processing and analyzing large amounts of data is an important part of your business, but it can also be one of the most challenging aspects. Apache Spark is a powerful tool that can help.
Today, technology and businesses can meet our needs almost immediately, from eating a pizza 30 minutes after ordering it to transferring money within seconds in a banking app. Speed is great for business, but information can get lost in translation. However, if you run an insurance company, more is at stake than a wrong order or delayed payment. Inaccurate or hard-to-find claims lengthen the claims process and open you to the risk of fraud, unexpected claims and poor pricing models. The good news? You now have a tool that can add some “Spark” to your business by increasing effectiveness and response time while helping you stay organized and efficient.
What Is Apache Spark?
Apache Spark is an open-sourced computer framework that can help process huge amounts of data, allowing you to organize information into batches or in real time. The program is compatible with different coding languages, such as R or Python, to help with analyzing large data sets while providing tools to help with graph processing and machine learning. That makes it compatible with the software that works best for you, making it easier for you to streamline your business and detect fraud.What Makes Apache Spark Stand Out
Apache Spark’s power is its in-memory cache, which delivers lightning-fast execution of data optimization, combined with an application program interface (API) that makes it easier for developers to obtain simple, high-level results without needing a lot of code. But beneath the user-friendly API are several components that work together to maintain the immediacy of data analysis, make your business stand out, help it grow organically, and — most importantly — stay safe. Below are the three most important ones:- Spark Core manages memory, aids with the recovery process when systems malfunction and helps organize the storage system so you can get the data you need when you need it. Much like your browser’s history, Spark Core allows you to recover older systems or logs and prioritize them in ways that work best for you and your business.
- Spark Resilient Distributed Datasets (Spark RDD) directs the location of the data while also recovering lost information from storage. Imagine selecting the recycle or trash bin on your desktop and seeing all of your lost files. Spark RDD can recover what was lost while also placing the data back in its original location.
- Spark SQL organizes data into rows or columns that make it easier for data analysts and engineers to find later. This framework also provides a graphic computation engine that helps process the organized data to communicate to network devices. Just like your My Photos folder, you can create your own subfolders to organize your data into categories.
