Click to learn more about author Wayne Yaddow. Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. They have become a standard necessity for most modern organizations. Each business often uses one or more data warehouse systems to make company decisions every day. In a word, the data warehouse is…

Click to learn more about author Sachin Reja. Advances in information technology (IT) are forcing businesses in all industries to evaluate their IT spend. The impetus here is to reduce staffing costs and other expenditures while investing more in digital tools and programing. With the landscape of IT evolving and with more platforms being utilized daily, software is no longer considered “ancillary” to performing everyday tasks. Rather, it is a…

Click to learn more about author Paolo Tamagnini. Welcome our integrated deployment blog series, where we focus on solving the challenges around productionizing Data Science. Topics will include: Resolving the challenges of deploying modelsBuilding guided analytics applications that create not only a model but a complete model process, using our component approach to AutoML to collaborate on projectsSetting up an infrastructure to not only monitor but automatically update production workflows…

Click to learn more about author Kartik Patel. This article discusses the analytical technique known as sampling and provides a brief explanation of two types of sampling analysis and how each of these methods is applied. What Is Sampling Analysis? Sampling is the technique of selecting a representative part of a population for the purpose of determining the characteristics of the whole population. There are two types of sampling analysis: simple…