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Three Key Requirements for Continuous Integration in Cloud Environments

Click to learn more about author Joe deBuzna. In my previous blog post I discussed hybrid cloud computing. The phrase Hybrid Cloud Computing is used to describe the coexistence of multiple environments, at least one of which is a cloud environment. Hybrid cloud computing introduces new data integration requirements for data/database-dependent application. In this blog post, I will discuss […]

Evidence, the POTUS, Pandas, and Seaborn

Click to learn more about author Steve Miller. In these highly-polarized political times, there seems no shortage of untruthful claims/boasts by the nation’s leaders. Alas, many citizens are highly credulous, blithely accepting the veracity of any statements from their tribes. At the same time, there are plenty of evidence-based skeptics who demand data before accepting […]

How to Not Get Overrun by Your Data Overrides

Click to learn more about author Richard Mohrmann. Large-scale enterprises rely heavily on market and consumer data sourced from outside vendors, but that information comes at a cost. In addition to intermittent issues with the data quality itself, consumers of vendor data can face timeliness problems, non-standard formats, coverage gaps, and lags in technical support. […]

2019: Full Scale Schema Modeling

Click to learn more about author Thomas Frisendal. Using Concerns to Navigate Data Architectures Welcome to 2019! This is the year that offers us a unique opportunity to re-architect the way we think schemas, data models and Data Architecture. We do indeed need to do some things better. The real world is full of concerns, […]

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