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Showing posts with the label warehouses

The Engineering Challenge Behind Better Patient Experiences

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  Introduction Any healthcare executive will tell you that the current expectations of patients include quick appointments , good communication , short wait times, and convenience in obtaining health services. Patients do not realize the role of technology that operates behind each patient interaction. Scheduling an appointment , filling out registration forms, processing insurance data, accessing patient medical records, retrieving test results, or even paying for healthcare are activities performed using various software systems that communicate with each other. If poor communication between those systems hinders this process, humans intervene to overcome these hurdles. The same information is filled out several times, appointments get delayed, and the number of administrative processes keeps increasing. In many cases, modernizing patient experience in expanding healthcare organizations means enhancing communication between existing systems rather than introducing another so...

How to Choose Between Data Lakes, Warehouses, and Lakehouse?

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  Introduction   As companies have become more data-centric, it has become difficult for them to store and maintain the data. With a vast amount of structured and unstructured data coming in by the second, there is no room for legacy technology. That's where Data Lake, Data Warehouse, and Lakehouse come into the picture. Each has its tradeoffs and strengths, but which is right for your business?     This article will discuss all three approaches and help you understand how each plays a different but essential role. Data engineering service providers leverage such formats, along with an accurate data modernization strategy, to enhance business scalability for companies across all domains . Data L akes, W arehouses, and Lakehouses : What Are They ?   Here's a simple differentiation between these three data systems   • Data Lake: A data lake is a multifaceted repository that can store any raw data, structured, semi-structured, or unstructured. It can sto...