Earlier this month, I kicked off a series of blogs about SQLite. The first looked at the advantages that SQLite offers over both flat files and the heavier lift of an enterprise-grade SQL databases – and it does offer distinct advantages over both. To a point. And that point was five years ago. Here's…
I recently started a new blog series on why Real-Time Decision-Making is required during periods of market uncertainty. In this next blog, lets level set on exactly what is Real-Time Decision-Making and why it matters so much more during periods of market uncertainty and business disruption. Naturally, what got me thinking about all of…
One of the biggest fears of cloud adoption is the security of organizational data and information. IT security has always been an issue for all organizations, but the thought of not having total control over corporate data is frightening. One of the factors for organizations not moving everything to the cloud and adopting a…
What’s a Data Fabric? A data fabric is a data architecture, management practices, and policies to deliver a set of data services that span all these domains and endpoints. Data fabrics provide that framework. They essentially serve as both the translator and the plumbing for data in all its forms, wherever it sits and…
Let's face it, information withholding is common in many industries, but it’s been especially rampant in the healthcare space. Payers and Providers have avoided scrutiny for the cost of care delivered and the reimbursements they were collecting. Consequently, information blocking has become one of the key impediments in shifting from a fee-for-service (FFS) model…
Last August I wrote a blog about the data at the Beating Heart of Healthcare and introduced the concept of the healthcare data analytics hub. Frequent readers will remember that a healthcare data analytics hub provides a unified, cloud-based platform that supports access, enrichment, analysis, visualization, and reporting services to both automate and act…
A data warehouse is a centralized repository for the storage of data from one or more aggregated sources, updated immediately with real-time data yet retaining prior data for a more comprehensive dataset. The data in the data warehouse can be different types of data in various formats for disparate sources such as electronic health…
When managing big data, organizations will find that there will be many consumers of the vast amounts of data, ranging from applications and data repositories to humans via various analytics and reporting tools. After all, the data is an expression of the enterprise, and with digital transformation, that enterprise is increasingly expressed in the…
Data warehouse vs database should you choose one or the other - or, in some cases, would you need both? Each has a purpose and a value for your organization. Each can be simple or complex; both support organizational decisions. In general, they are complementary. The question becomes which one do I need based…
Payers, health plans, and integrated health systems run on data. Integration, processing, and analytics are integral to their business process and managing of costs and risk. The role of payers in the healthcare industry has been expanding for years. As care models have shifted from fee-for-service to coordinated and value-based care, payers and providers…
Database Historians...History? Why a modern time-series capable database can simplify yet enhance time-series data analysis. Despite the professorial image the term suggests, a data historian is not an instructor or researcher, but a purpose-build software solution. And evolutions in how operational data is used and managed have eclipsed the need for data historian software…
In the opening installment of this blog series—Data Lakes, Data Warehouses and Data Hubs: Do we need another choice? I explore why simply migrating these on-prem data integration, management, and analytics platforms to the Cloud does not fully address modern data analytics needs. In comparing these three platforms, it becomes clear that all of…
And why is it better than a Data Lake or an Analytics Hub? In the opening installment of this blog series—Data Lakes, Data Warehouses and Data Hubs: Do we need another choice? I explore why simply migrating these on-prem data integration, management, and analytics platforms to the Cloud does not fully address modern data…
Data Lakes, Data Warehouses, and Data Hubs - Do we need another choice? There’s a long-standing debate, dating back to the early days of Hadoop, about what kind of data repository is best for a given data analytics use case. A Data Lake? A Data Hub? A Data Warehouse? Despite Hadoop’s fall from grace,…
A long time ago (read: before the COVID-19 pandemic started), companies around the world were interested in developing a full 360-degree view of their customers. The importance of creating a tailored, data-enhanced customer experience was understood, but formidable challenges—the fact that the data comprising an individual customer profile resides in so many disparate systems,…
Why is this study different? OK, so that’s like saying the sky is blue on a clear sunny day, right? Actually, it’s cloudier than that – pun intended! If you talk to Cloud vendors, everything is moving to the cloud and has been for over a decade, so the glass is half full. If…
