A data architecture is the foundation of any data strategy. It is the “how” when implementing a data strategy. In this article, we’ll look at: Business agility Data architecture Architecture components Data standards The shift to new architecture Data schemas The architecture is responsible for setting the data standards that define what kinds of data will … Read more
Solution architecture is the practice of designing, describing, and managing solution engineering to match it with specific business problems. A solution architect is in charge of leading the practice and introducing the overall technical vision for a particular solution.
Data wrangling—also called data cleaning, data remediation, or data munging—refers to a variety of processes designed to transform raw data into more readily used formats. The exact methods differ from project to project depending on the data you’re leveraging and the goal you’re trying to achieve. Some examples of data wrangling include: Data wrangling can be a manual … Read more
Suitably Qualified and Experienced Personnel (SQEP) is a term that originated within the UK nuclear industry and is also used within the defence industry but similar requirements arise in other industry sectors and other countries. Typically, to be regarded as a SQEP, one requires a professional qualification and several years of experience, with recognition that … Read more
Competencies are the skills, knowledge and behaviours that lead to successful performance. What does it mean for me? The framework is used for recruitment, performance management and development discussions and fordecisions about progression. Your business objectives set out “what” you need to achieve over the yearand the competency framework sets out “how” you need to … Read more
Expert Methods for Designing, Developing and Deploying Data Warehouses