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Business Analytics, Data Engineering, Digital Transformation
In our previous post, The Pros and Cons of Leading Data Management and Storage Solutions, we untangled the differences among data lakes, data warehouses, data lakehouses, data hubs, and data operating systems. Remember to read part one if you need a quick refresher. ...
Business Analytics, Data Engineering, Data Governance, Data Management
Data lakes, data warehouses, data hubs, data lakehouses, and data operating systems are data management and storage solutions designed to meet different needs in data analytics, integration, and processing. Each has unique advantages and drawbacks, and the right...
Business Intelligence, Data Engineering, Digital Transformation
What is a data operating system? On the surface, it's an operating system designed specifically for managing and processing large amounts of data. It typically provides a scalable and flexible infrastructure for storing, processing, and analyzing big data and should...
Data Engineering, Digital Transformation, Public Health
Prevention and early intervention are essential to building an effective healthcare approach that supports patients from start to finish. The critical component of this approach is predictive analytics — analyzing big data gathered from patients, consumers, and...
Data Engineering, Digital Transformation
Technical debt is something that many companies are aware of and are attempting to address. It is a big enough issue that several of our recent blog posts (Lessons in Technical Debt from Southwest Airlines, Start Paying Down Your Technical Debt Today, and A Better Way...
Business Intelligence, Data Engineering, Digital Transformation
Technical debt is an ongoing issue no one should expect to square away because as technology advances, even today's top systems will eventually achieve full "legacy" status. However, if you don't keep on top of it, technical debt will eventually cause significant...
Data Engineering, Data Governance, Digital Transformation
Technical debt is an issue that often isn’t given the attention it deserves. Companies can even get away with ignoring it for quite a while. However, once it rears its ugly head, technical debt can be incredibly costly both in terms of money and reputation. Look no...
Data Engineering, Data Governance, Data Management
Data governance can be a powerful agent in scaling the use and distribution of trusted data throughout the company. However, more often than not, it conjures up the idea of a central authority strictly guarding against such access. In this 3-part series, we’ll cover...
Data Engineering, Data Governance, Digital Transformation
It was hard to miss Southwest Airlines’ holiday travel fiasco earlier this year. After a winter storm blew through a large swath of the United States, Southwest’s systems and processes had a complete meltdown. It took thousands of canceled flights, many days, and...
Data Engineering, Data Management, Digital Transformation
Customer data platforms (CDPs) are increasingly popular sources of customer insights. These systems are usually owned and operated by an enterprise marketing department and provide data for insights into customer trends, behavior, and customer 360 analyses....