Identification of controlled data, its classification, and associated processes. Data Identification Inventory of Data Assets Data Cataloguing: Create a comprehensive inventory of all data assets across your organisation, including databases, data warehouses, data marts, and data lakes. Data Source Mapping: Identify and map all data sources, including internal systems and third-party sources. All Data Sources … Read more
Design methodology, development platform, hardware requirements, database. All Software Quality Procedures Continuous Integration and Continuous Deployment (CI/CD) Continuous Integration and Continuous Deployment (CI/CD) ensures that changes and updates to data pipelines are tested, integrated, and deployed to production, facilitating consistent and reliable data processing and delivery. In dynamic data environments where sources, formats, and requirements … Read more
Reporting of progress to customer/project manager[SW1] [JK2] . Data Engineering SHALL use a Jira(R) style ticket management tool to plan, track and release tickets and tasks for the purpose demonstrating the entire development lifecycle. Allowing the wider team to move work forward, stay aligned and communicate in context. Data Engineering has chosen to use an Open Source … Read more
Assurance System Test, Regression Test, Unit Test activities, UA Tests, Peer Reviews (with estimated dates), code review methodology (Pull Requests/Pair Programming/other) A new DataMart feature is more than several lines of code. It is usually a multilayer, complex pipeline system, incorporating separate functional components and third-party data integrations. Therefore, efficient development testing should go far … Read more
SQP, requirements catalogue, package details, method of rolling out. DataMart Lifecycle (Development Plan) Output Purpose Owner Location Data Source Inventory Identify relevant data sources within the organisation, including databases, applications, and external sources. Data Architect/Engineer (with Data Specialist) myBMT(Data Objects) Data profiling reports Profile data sources to understand data quality, structure, and relationships. Data Architect/Engineer … Read more
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