Frequency, location and style of meetings, who should attend. To include standups/sprint meetings, code review methods and end of project review. Incorporating an Agile approach forms an integral aspect of the Data Engineering development process. By dividing the development cycle into smaller segments, iterations, and sprints, Agile methodologies enable engineers and data specialists to collaborate … Read more
People involved and their roles, chains of command and reporting methods, distribution list of SQP. Data Steering Committee Data Stewards Data Specialists Quality Behaviours of Data Specialists Data Engineering Data Mesh Principle The Data Mesh decentralises data ownership by transferring the responsibility from the central data team to the business units that create and consume … Read more
Scope covered by the project and any documents received. Technical Perspective The Data Warehouse Development Quality Plan describes the creation, organisation, movement, change and storage of data from the perspective of the technical and physical implementation. The scope of the Data Warehouse Development Quality Plan encompasses the following key areas: Business Perspective The business perspective … Read more
Security specific requirements for the project. Assessment of changes on existing system security. The confidentiality, integrity, and availability (CIA) model is widely used by organisations to implement appropriate security controls and policies, which helps identify key problem areas and the necessary solutions to resolve these issues. Access Control and Authorisation: Role-based access mechanisms and strict … Read more
Aim to completely transform the data infrastructure of the organisation, making it agile, scalable, and highly efficient. This could involve implementing cutting-edge technologies like distributed computing, real-time processing, and machine learning pipelines.
Becoming a data-driven business doesn’t happen overnight. It takes time, money, and effort to develop the combination of knowledge, skills, and technological proficiency needed to weave business intelligence into the cultural fabric of your organisation. It’s a journey: one with many steps and milestones along the way. To reach your destination safely, you need a guide. … Read more
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In Agile design, teams work in short sprints and prioritise the most important features to be developed first. Value-based prioritisation allows startups to get a Minimal Viable Product (MVP) to market quickly and start gathering feedback from customers. Additionally, and by definition, Agile design encourages safe-to-fail experimentation early on in the product’s lifecycle, giving the designer quick … Read more
The traditional design methods, which assume that developers fully understand the user’s requirements and that the user knows what they want before seeing the product, are often flawed in the real world. Complex systems, such as software products and their users, constantly evolve and adapt to users’ changing needs and preferences. As users interact with a software product, … Read more