[02/Methodology/01]

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Which approach is recommended for defining software requirements in Scrum?

User stories focused on business value

What is the purpose of the graphical mockup in the document structure?

To explain the required details of the mockup

Which section of the document contains KPI descriptions?

Section after the graphical mockup section

What is the purpose of the Scrum/Kanban board in Azure DevOps?

To support sprint planning and tracking

What should a card on the Scrum board in Azure DevOps focus on?

Business value

How can the structure of information requirements be customized in Azure DevOps?

By modifying the process template

Which methodology is the Data Vault 2.0 methodology based on?

Scrum

What is the purpose of the tracer bullet approach in software development?

To shoot software features through the layers of the software system

What is the recommended approach for implementing functional and non-functional requirements in Data Vault 2.0 projects?

Implement functional requirements first, then non-functional requirements

What is the typical size of a Data Vault team?

5 to 9 team members

What are the three major roles in a Scrum team?

Product owner, developers, and Scrum master

Why is it important to focus on the business value in Data Vault 2.0 projects?

To produce new reports, dashboards, or measures

Which methodology is Data Vault 2.0 based on?

Scrum

What is one advantage of the Data Vault 2.0 model?

Flexibility

Why did the client Berenberg select Data Vault 2.0?

To introduce Agile development methodologies

What is the focus of this article?

Organization and execution of Data Vault 2.0 projects using Azure DevOps

What is the purpose of the initial proof of concept (PoC) in Data Vault 2.0 projects?

To demonstrate the feasibility of the project

Who would find this article especially useful?

Software developers with Scrum experience

Which role is responsible for effort estimation using function point analysis in a Data Vault team?

Project manager

What is the purpose of a sprint plan in a Data Vault team?

To define the activities required for information delivery

What is the role of a Scrum master in a Data Vault team?

Dealing with obstacles in the project

What is the purpose of the Data Vault team's focus on specific tools and tasks?

To prevent idle time

What is the role of a dashboard designer in a Data Vault team?

To develop the dashboard at the end of the sprint

What is the purpose of adjusting the set of required activities in a sprint plan during a retrospective meeting?

To improve the development process

According to the text, what is the best approach for creating a backlog item as a template?

Creating a backlog item with all the required sub-tasks from the sprint plan example

What can teams do to modify the structure of their sub-tasks in the copy of the work item?

Add, remove, or change the existing sub-tasks

What often influences the defined sub-tasks in the template work item over time?

Improvements discussed in the retrospective meeting

What methodology is used to improve the development process in the retrospective meeting?

Data Vault 2.0 methodology

What does the team discuss in the retrospective meeting?

What went well, what didn’t go well, and how the process should be improved

What should be on the sprint plan if an activity is important to the team?

The activity itself

Which methodology is the Data Vault 2.0 methodology based on?

Scrum

What are the three major roles in a Scrum team?

Product owner, Scrum master, and developers

What is the purpose of the tracer bullet approach in software development?

To shoot software features through the layers of the software system

What is the typical size of a Data Vault team?

7-9 team members

What is the role of a Scrum master in a Data Vault team?

To facilitate the Scrum ceremonies

What is the purpose of the Scrum/Kanban board in Azure DevOps?

To track the progress of the team's tasks

Which type of projects is the article specifically targeting?

Data Vault 2.0 projects

What is one of the advantages of the Data Vault 2.0 model?

It allows for extensibility of the model

Why did the client Berenberg select Data Vault 2.0?

It was in line with their strategy to introduce Agile development methodologies

What is the role of a Scrum Master in a Data Vault team?

Ensuring the team follows Scrum practices

Which aspect of the Data Vault 2.0 methodology differentiates it from standard Scrum?

The inclusion of aspects from other methodologies

What is the purpose of the initial proof of concept (PoC) in Data Vault 2.0 projects?

To start with a small-scale model before expanding

Which role is responsible for effort estimation using function point analysis in a Data Vault team?

Project manager

What is the purpose of the sprint plan in a Data Vault team?

To establish a pattern during the sprint

What is the recommended approach for implementing new business requirements in data warehouse projects?

Use blueprints and organized production lines

What is the role of a dashboard designer in a Data Vault team?

To build the dashboard

What is the role of a project manager in a Data Vault team?

To manage the project

What is the purpose of the retrospective meeting in a Data Vault team?

To improve the development process

Which section of the document provides all necessary details to develop the functionality in Data Vault 2.0 projects?

The graphical mockup section

What is the purpose of the Scrum / Kanban board in Azure DevOps for Data Vault 2.0 projects?

To visualize the sprint plan

What is the recommended approach for creating backlog items in Data Vault 2.0 projects?

Using information requirements

What is the purpose of the information requirement template in Data Vault 2.0 projects?

To document the functionality to be implemented

What is the role of a Scrum master in a Data Vault 2.0 team?

To facilitate the Scrum process

What is one advantage of using the Data Vault 2.0 model in projects?

Improved data integration

According to the text, what is the purpose of the Scrum board in Azure DevOps?

To track the progress of tasks in a Scrum team

What is the recommended approach for creating a backlog item as a template?

To create a template with all the required sub-tasks from the sprint plan example

What is the purpose of the retrospective meeting in the Scrum methodology?

To discuss what went well, what didn't go well, and how the development process can be improved

What is the purpose of the Data Vault 2.0 methodology?

To model and load a data analytical platform on the Azure cloud

What is the role of a Scrum master in a Data Vault team?

To facilitate the Scrum process and ensure the team adheres to Scrum principles

What is the purpose of the graphical mockup in the document structure?

To show how the data warehouse should look and function

True or false: Data Vault 2.0 projects using Azure DevOps are based on the Scrum methodology.

True

True or false: The Data Vault 2.0 model allows for step-by-step extension of the model by new entities.

True

True or false: Data Vault 2.0 is often used in conjunction with Agile methodologies such as Scrum.

True

True or false: The Data Vault 2.0 methodology includes aspects from other methodologies besides Scrum.

True

True or false: Berenberg selected Data Vault 2.0 because it aligned with their strategy to introduce Agile development methodologies.

True

True or false: The development cycle of the data warehouse can be aligned with the development cycle of the operational software development by using Data Vault 2.0.

True

True or false: Data Vault 2.0 projects often follow a multi-layer design similar to traditional software development projects.

True

True or false: The tracer bullet approach is used in both software development and the Data Vault 2.0 methodology.

True

True or false: The length of the sprint in Data Vault 2.0 projects is defined by the organization and is often aligned with the sprints of the software development organization.

True

True or false: Data Vault 2.0 teams use the typical Scrum ceremonies, such as sprint plannings, sprint reviews, and retrospectives.

True

True or false: It is recommended for Data Vault 2.0 teams to implement non-functional requirements before focusing on functional requirements.

False

True or false: A typical Data Vault team consists of three major roles: the product owner, the developers, and the Scrum master.

False

True or false: In Scrum, software requirements are defined and refined by user stories.

True

True or false: In data warehousing, user stories should be focused on business value.

False

True or false: Information requirements in data warehousing are more closely related to traditional software requirements.

True

True or false: The complete structure of the document in data warehousing includes sections for graphical mockup, KPI descriptions, data sources, and test cases.

True

True or false: The structure of the document in data warehousing is fixed and cannot be adjusted to an organization's needs.

False

True or false: Azure DevOps Services provides various services to development teams, including project management, requirements management, version control, automated builds, tests, and release management.

True

True or false: The Data Vault team consists of a generalized developer role.

False

True or false: In a Data Vault team, the dashboard designer can only work on the dashboard after the sprint is over.

False

True or false: The project manager role in a Data Vault team is broader than the Scrum master role.

True

True or false: The sprint plan in a Data Vault team acts as the blueprint for the information delivery process.

True

True or false: A typical Data Vault team has only one sprint plan for all types of activities.

False

True or false: The goal of a retrospective meeting in a Data Vault team is to improve the development process.

True

True or false: The goal of the template in a Scrum board is to ensure stability and establish a pattern based on experience from early sprints.

True

True or false: The sprint plan hierarchy is flattened into sub-task names in the template work item.

True

True or false: The free plug-in 1-Click Child-Links can be used as an alternative approach for configuring sub-tasks in the copy of the work item.

True

True or false: The retrospective meeting at the end of the sprint often leads to changes in the sprint plan, based on discussions and improvements.

True

True or false: The Scrum board in Data Vault 2.0 projects is organized to show direct business value and typically has fewer cards.

True

True or false: The team in a Data Vault 2.0 project should focus on producing only one business value and one card on the Scrum board.

False

True or false: Data Vault 2.0 is often used with Agile methodologies such as Scrum.

True

True or false: Berenberg selected Data Vault 2.0 because it aligned with their strategy to introduce Agile development methodologies.

True

True or false: The Data Vault 2.0 model allows for step-by-step extension of the model by new entities.

True

True or false: The Scrum board in Data Vault 2.0 projects is organized to show direct business value and typically has fewer cards.

True

True or false: The tracer bullet approach is used in both software development and the Data Vault 2.0 methodology.

True

True or false: A typical Data Vault team has only one sprint plan for all types of activities.

False

True or false: The Data Vault team consists of a generalized developer role.

False

True or false: The dashboard designer in a Data Vault team can only work on the dashboard after the sprint is over.

False

True or false: The project manager in a Data Vault team is responsible for effort estimation using function point analysis.

True

True or false: The sprint plan in a Data Vault team acts as the blueprint for the information delivery process.

True

True or false: The Scrum master in a Data Vault team is responsible for managing the project.

False

True or false: The sprint plan hierarchy in a Data Vault team is flattened into sub-task names in the template work item.

True

True or false: The Scrum board in Data Vault 2.0 projects is organized to show direct business value and typically has fewer cards.

True

True or false: The retrospective meeting at the end of the sprint often leads to changes in the sprint plan, based on discussions and improvements.

True

True or false: The goal of the template in a Scrum board is to ensure stability and establish a pattern based on experience from early sprints.

True

True or false: Data Vault 2.0 teams use the typical Scrum ceremonies, such as sprint plannings, sprint reviews, and retrospectives.

True

True or false: The sprint plan in a Data Vault team acts as the blueprint for the information delivery process.

True

True or false: In data warehousing, user stories should be focused on business value.

True

True or false: In data warehousing, user stories should be focused on business value.

True

True or false: The Scrum board in Data Vault 2.0 projects is organized to show direct business value and typically has fewer cards.

True

True or false: The goal of the template in a Scrum board is to ensure stability and establish a pattern based on experience from early sprints.

True

True or false: The sprint plan hierarchy is flattened into sub-task names in the template work item.

False

True or false: In a Data Vault team, the dashboard designer can only work on the dashboard after the sprint is over.

False

True or false: Data Vault 2.0 is often used in conjunction with Agile methodologies such as Scrum.

True

True or false: The Data Vault 2.0 methodology is based on Scrum.

True

True or false: Data Vault 2.0 teams use the typical Scrum ceremonies, such as sprint plannings, sprint reviews, and retrospectives.

True

True or false: The implementation of non-functional requirements should be prioritized over implementing functional requirements in Data Vault 2.0 projects.

False

True or false: Data Vault teams consist of three major roles: product owner, developers, and Scrum master.

False

True or false: The Scrum/Kanban board in Azure DevOps is used to show direct business value and typically has fewer cards in Data Vault 2.0 projects.

False

True or false: The Data Vault 2.0 model allows for step-by-step extension of the model by new entities.

True

Match the following aspects of Data Vault 2.0 and Scrum with their descriptions:

Data Vault 2.0 = Model that allows for step-by-step extension of the model by new entities Scrum = Methodology that the Data Vault 2.0 methodology is based on Data Vault 2.0 projects = Often use Agile methodologies such as Scrum Scrum Master = Role in a Data Vault 2.0 team responsible for managing the project

Match the following Azure DevOps functions with their descriptions:

Deployment of the data analytics platform = Function that will be discussed in subsequent articles of this ongoing blog series Organization and successful execution of Data Vault 2.0 projects = Focus of this article Structure of information requirements = Can be customized in Azure DevOps

Match the following terms with their definitions in the context of Data Vault 2.0 projects:

Proof of concept (PoC) = Small initial model that most clients at Scalefree start with Raw Data Vault = Part of the model where additional source data sets are added in subsequent iterations Business Vault = Part of the model where transformation logic is added in subsequent iterations Data Vault 2.0 = Model that is often used with Agile methodologies such as Scrum

Match the following roles with their responsibilities in a Data Vault 2.0 team:

Scrum Master = Role that should find this article especially useful Dashboard Designer = Works on the dashboard after the sprint is over Generalized Developer = Part of the Data Vault team

Match the following methodologies with their usage in a Data Vault 2.0 project:

Scrum = Basis of the Data Vault 2.0 methodology Agile = Often used in conjunction with Data Vault 2.0 Function Point Analysis = Method used by a specific role in a Data Vault team

Match the following terms with their descriptions in the context of data warehousing:

Data Vault 2.0 Model = Has the advantage of extensibility User Stories = Should be focused on business value Scrum Board = Organized to show direct business value and typically has fewer cards

Match the following roles with their responsibilities in a Data Vault team:

Automation engineer = Responsible for automating tasks and processes Dashboard designer = Responsible for designing and developing dashboards Project manager = Responsible for managing the project and effort estimation Scrum master = Responsible for dealing with obstacles in the project and organizing meetings

Match the following terms with their definitions in the context of Data Vault 2.0 projects:

Sprint plan = Defines the activities required to deliver the requested information, including the sequence and dependencies Data provisioning = The addition of source systems to the data lake Raw Data Vault = One of the upstream layers that must be built before the dashboard Business Vault = One of the upstream layers that must be built before the dashboard

Match the following terms with their descriptions in the context of data warehousing:

Production street = A metaphor for the unorganized process of building data warehouses and Big Data projects Blueprint = A metaphor for the sprint plan, which defines the activities and sequence in the information delivery process Sprint type = A specific type of sprint plan that defines the activities for a particular aspect of the project Retrospective meeting = A meeting where the goal is to improve the development process

Match the following statements with their correctness in the context of Data Vault teams:

True = The sprint plan in a Data Vault team acts as the blueprint for the information delivery process False = The dashboard designer in a Data Vault team can only work on the dashboard after the sprint is over

Match the following terms with their descriptions in the context of data warehousing and Data Vault 2.0:

Effort estimation using function point analysis = A responsibility of the project manager in a Data Vault team Data Vault 2.0 model = Allows for step-by-step extension of the model by new entities Retrospective meeting = Used to improve the development process in Data Vault 2.0 projects Sprint plan = Defines the activities required to deliver the requested information in a Data Vault team

Match the following terms with their descriptions in the context of Agile methodologies and Data Vault teams:

Scrum master = Not responsible for managing the project, but dealing with obstacles and organizing meetings Sprint plan = Acts as the blueprint for the information delivery process in a Data Vault team Project manager = Responsible for managing the project and effort estimation in a Data Vault team Data Vault 2.0 = Often used in conjunction with Agile methodologies such as Scrum

Match the following concepts with their descriptions in the context of Data Vault 2.0 projects:

Tracer bullet approach = A concept used in software development to 'shoot' software features one by one through the layers of the software system Sprint = A time-boxed iteration used in Data Vault 2.0 projects to develop the data analytics platform Scrum of Scrum = A method often used in Data Vault 2.0 projects to better synchronize with other Agile teams, including software development teams of the operational source systems Data Cleaning = An example of business value that could be implemented in a Data Vault 2.0 project

Match the following roles with their descriptions in a Data Vault 2.0 team:

Product Owner = Responsible for defining and prioritizing the backlog items Developers = Responsible for building the technical platform and implementing the functional and non-functional requirements Scrum Master = Responsible for ensuring that the Scrum framework is followed and facilitating the team's progress Dashboard Designer = Responsible for designing the dashboards for the data analytics platform

Match the following concepts with their descriptions in the context of Data Vault 2.0 projects:

Backlog = A list of all desired features, enhancements, and bug fixes for the data analytics platform Functional Requirements = Requirements that specify what the system should do Non-Functional Requirements = Requirements that specify how the system should be Scrum Board = A visual representation of the work to be done and the work that has been completed in the sprint

Match the following concepts with their descriptions in the context of Data Vault teams:

Data Vault 2.0 = A methodology based on Scrum that is used for building data warehouses Sprint Plan = A blueprint for the information delivery process in a Data Vault team Retrospective = A meeting at the end of the sprint to improve the development process Product Owner = The role responsible for defining and prioritizing the backlog items

Match the following concepts with their descriptions in the context of Data Vault 2.0 projects:

Data Lake = A secondary reason for setting up a budget for an analytical data platform Business Value = The focus of the team in a Data Vault 2.0 project, such as a new report, dashboard, or a new measure to be calculated Technical Platform = The platform that is built by the team to implement the business value Data Flows = The implementation of these for new functional requirements often influences the technical implementation

Match the following roles with their descriptions in a Data Vault 2.0 team:

Product Owner = Responsible for defining and prioritizing the backlog items Developers = Responsible for building the technical platform and implementing the functional and non-functional requirements Scrum Master = Responsible for ensuring that the Scrum framework is followed and facilitating the team's progress Dashboard Designer = Responsible for designing the dashboards for the data analytics platform

Match the following sections of the document structure in a Data Vault 2.0 project with their descriptions:

Graphical mockup = An Excel spreadsheet with artificial information, a Visio diagram or a screenshot from a legacy report KPI descriptions = Instructions to calculate the measures, often referring to KPI tree definitions Data sources = A list often described in more detail in an external document or Wiki Test cases for user acceptance test (UAT) = A detailed list of test cases for the UAT

Match the following terms with their descriptions in the context of a Data Vault 2.0 project:

Sprint plan = Acts as the blueprint for the information delivery process Scrum/Kanban board = Used to show direct business value and typically has fewer cards Backlog items = Used to document the functionality to be implemented using the information requirement template Process template = Modified in the organizational settings to reflect the structure of the information requirement

Match the following methodologies with their descriptions:

CMMI = One of the methodologies supported by Azure DevOps Services for project management Scrum = Used in Data Vault 2.0 projects to establish the continuous delivery of information assets Agile = One of the other approaches supported by Azure DevOps Services for project management Data Vault 2.0 = A methodology that combines aspects of Scrum with other approaches in a data warehousing context

Match the following roles with their responsibilities in a Data Vault 2.0 project:

Project Manager = Responsible for managing the project and adjusting the structure to the organization's needs Scrum Master = Responsible for establishing the continuous delivery of information assets and supporting sprint types and plans Dashboard Designer = Works on the dashboard after the sprint is over Business User = Should be able to describe relevant details of the mockup

Match the following terms with their descriptions in the context of a Data Vault team:

Information requirement = More closely related to traditional software requirements where all necessary detail is described but focused on one functional requirement User story = Defines the functionality from the business user’s perspective and should be focused on the business value Sprint = A time-boxed iteration of work Test cases = Used for the user acceptance test (UAT)

Match the following components of Azure DevOps Services with their descriptions:

Scrum / Kanban board = Used for the user stories and the requirements management in Data Vault 2.0 projects Project management = One of the services provided by Azure DevOps Services Requirements management = One of the services provided by Azure DevOps Services Version control = One of the services provided by Azure DevOps Services

Match the following terms with their correct definitions:

Scrum board = An organized board that shows direct business value and typically has fewer cards Sprint plan = Acts as the blueprint for the information delivery process in a Data Vault team 1-Click Child-Links = A free plug-in available on the Visual Studio Marketplace that can be used as an alternative approach for configuring sub-tasks in the copy of the work item Retrospective meeting = A meeting where the team discusses what went well, what didn’t go well, and how the process should be improved

Match the following methodologies with their associated features:

Data Vault 2.0 = Based on the Scrum methodology and includes aspects from other methodologies Scrum = A methodology used to improve the development process by conducting retrospective meetings Scrum/Kanban board in Azure DevOps = Used to manage and track work items in a project 1-Click Child-Links = A plug-in that can be used to modify the structure of sub-tasks in a work item

Match the following roles with their responsibilities in a Data Vault 2.0 team:

Product owner = Responsible for effort estimation using function point analysis Developers = Work on some smaller tasks and non-functional requirements, which are represented by their own cards on the Scrum board Scrum master = Responsible for ensuring the template becomes stable after a number of sprints Dashboard designer = Can work on the dashboard before the sprint is over

Match the following terms with their associated concepts in the context of Data Vault 2.0:

Template = Used to create a backlog item and prepare it with all the required sub-tasks Sub-tasks = Configured in the template and can be added, removed or changed in the copy of the work item Sprint types = Require different sprint plans and work item templates Retrospective meeting = Can influence the defined sub-tasks in the template work item

Match the following terms with their correct descriptions in the context of Data Vault 2.0:

Scrum board = Shows direct business value and typically has much fewer cards 1 business value = The team's focus in a Data Vault 2.0 project 1 card = Represents the one business value on the Scrum board Non-functional requirements = Represented by their own cards on the Scrum board

Match the following terms with their correct definitions:

Sprint plan = Acts as the blueprint for the information delivery process in a Data Vault team 1-Click Child-Links = A free plug-in available on the Visual Studio Marketplace that can be used as an alternative approach for configuring sub-tasks in the copy of the work item Retrospective meeting = A meeting where the team discusses what went well, what didn’t go well, and how the process should be improved Scrum board = An organized board that shows direct business value and typically has fewer cards

Match the following terms with their descriptions in the context of a Data Vault 2.0 project:

Data Vault 2.0 = A data modeling method that is designed to provide long-term historical storage of data coming in from multiple operational systems Scrum = An agile framework that is used to manage complex product development Sprint = A time-boxed period during which specific work has to be completed and made ready for review Product Owner = The person responsible for maximizing the value of the product and the work of the development team

Match the following roles with their responsibilities in a Data Vault team:

Product Owner = Maximizes the value of the product and the work of the development team Developers = Responsible for building the technical platform Scrum Master = Responsible for ensuring that Scrum is understood and enacted

Match the following terms with their definitions in the context of Data Vault 2.0 projects:

Data Vault 2.0 = A data modeling approach that is designed to provide long-term historical storage of data coming in from multiple operational systems Sprint Planning = A meeting where the team decides which items from the product backlog they will work on during the upcoming sprint Sprint Review = A meeting where the team demonstrates the work that they have completed during the sprint Retrospective = A meeting where the team reflects on their work and identifies ways to improve

Match the following terms with their descriptions in the context of data warehousing:

Data Warehouse = A system used for reporting and data analysis Data Vault = A data modeling method that is designed to provide long-term historical storage of data coming in from multiple operational systems Operational Source System = The system that generates the data that is being analyzed Business Value = The value that a business expects to gain from a particular project or activity

Match the following methodologies with their descriptions:

Data Vault 2.0 = A data modeling method that is designed to provide long-term historical storage of data coming in from multiple operational systems Scrum = An agile framework that is used to manage complex product development Software Development = The process of creating software applications Agile Delivery = An approach to project management that is characterized by the division of tasks into short phases of work and frequent reassessment and adaptation of plans

Match the following components of Azure DevOps Services with their descriptions:

Scrum Board = Used to show direct business value and typically has fewer cards in Data Vault 2.0 projects Sprint Plan = Acts as the blueprint for the information delivery process Retrospective Meeting = A meeting where the team reflects on their work and identifies ways to improve Product Owner = The person responsible for maximizing the value of the product and the work of the development team

Match the following terms with their correct descriptions in the context of Data Vault 2.0:

Data Vault 2.0 = A model that allows step-by-step extension of the model by new entities Agile methodologies = Often used with Data Vault 2.0, such as Scrum Proof of concept (PoC) = A small initial model that is extended in subsequent iterations Scrum = A methodology that Data Vault 2.0 is based on, but also includes aspects from other methodologies

Match the following roles with their responsibilities in a Data Vault 2.0 team:

Scrum Master = Responsible for effort estimation using function point analysis Product Owner = Responsible for creating backlog items Developers = Responsible for implementing new business requirements Dashboard Designer = Responsible for designing the dashboard

Match the following methodologies with their usage in a Data Vault 2.0 project:

Scrum = Basis for the Data Vault 2.0 methodology, but also includes aspects from other methodologies Kanban = Used to show direct business value and typically has fewer cards in Azure DevOps Agile = Often used with Data Vault 2.0 Waterfall = Not mentioned in the text as being used in a Data Vault 2.0 project

Match the following terms with their descriptions in the context of data warehousing:

Information requirements = More closely related to traditional software requirements Data Vault 2.0 = Model that is often used with Agile methodologies Scrum = Methodology that Data Vault 2.0 is based on Proof of concept (PoC) = Small initial model that is later extended

Match the following concepts with their descriptions in the context of Data Vault 2.0 projects:

Sprint plan = Blueprint for the information delivery process in a Data Vault team Backlog items = Created by the Product Owner in Data Vault 2.0 projects Dashboard = Designed by the Dashboard Designer in a Data Vault team Tracer bullet approach = Used in both software development and the Data Vault 2.0 methodology

Match the following components of Azure DevOps Services with their descriptions:

Scrum/Kanban board = Used to show direct business value and typically has fewer cards in Data Vault 2.0 projects Project management = One of the services provided by Azure DevOps Services Requirements management = One of the services provided by Azure DevOps Services Automated builds = One of the services provided by Azure DevOps Services

Match the following roles with their responsibilities in a Data Vault team:

Automation engineer = Responsible for automating data processes and tasks Data modeler = Responsible for designing the data model for the Data Vault Tester = Responsible for ensuring the quality of the developed artifacts Dashboard designer = Responsible for designing and developing the dashboard

Match the following terms with their descriptions in the context of Data Vault 2.0 projects:

Sprint plan = Acts as the blueprint for the information delivery process Data provisioning = The addition of source systems to the data lake Business Vault = A layer in the Data Vault that contains the transformed and integrated data Information mart = A layer in the Data Vault that provides data for reporting and analysis

Match the following concepts with their descriptions in the context of Data Vault 2.0 projects:

Effort estimation using function point analysis = A responsibility of the project manager in a Data Vault team Retrospective meeting = A meeting where the team discusses and improves the development process Tracer bullet approach = An approach used to validate technical feasibility and reduce project risks Non-functional artifact = An artifact that is not directly related to the main functionality, but adds value to the project

Match the following terms with their descriptions in the context of data warehousing and Data Vault 2.0:

Technical debt = Issues or problems in the code that need to be fixed later Data Vault team = A team that consists of specialized roles instead of a generalized developer role Blueprints and organized production lines = Used by car makers for mass production, in contrast to how many data warehouses and Big Data projects function Sprint type = A specific type of sprint plan that defines the activities related to a specific goal or objective

Match the following roles with their descriptions in a Data Vault 2.0 team:

Project manager = Responsible for managing the project and maintaining sprint plans Scrum master = Not a role in a Data Vault team, as it uses a project manager instead Product owner = Responsible for prioritizing and defining the requirements Developer = A generalized role that is not used in a Data Vault team

Match the following concepts with their descriptions in the context of Data Vault 2.0 projects:

User story = A brief and informal description of a feature or functionality Graphical mockup = A visual representation of the user interface or system design Information requirement template = A document that captures the information needs of the organization Deployment of new functionalities into production = An issue that is often optimized over time in Data Vault 2.0 projects

Match the following terms with their correct descriptions in the context of Data Vault 2.0 projects:

User story = Defines the functionality from the business user’s perspective and should be focused on the business value Information requirement = More closely related to traditional software requirements where all necessary detail is described but focused on one functional requirement Graphical mockup = An Excel spreadsheet with artificial information, a Visio diagram or a screenshot from a legacy report Sprint plan = Acts as the blueprint for the information delivery process

Match the following terms with their correct descriptions in the context of data warehousing:

Data lake = The target for data in its rawest form Raw Data Vault = Contains the raw, unprocessed, uncleaned, and untransformed data Hubs = Key business objects Satellites = Contain descriptive attributes of the business objects

Match the following concepts with their descriptions in the context of Data Vault 2.0 projects:

Sprint = A time-boxed period during which specific work has to be completed and made ready for review Scrum board = Organized to show direct business value and typically has fewer cards User acceptance test (UAT) = A detailed list of test cases for the user acceptance test Dashboard designer = Responsible for designing and implementing the dashboard

Match the following methodologies with their usage in a Data Vault 2.0 project:

CMMI = A capability maturity model integration for process improvement Scrum = Used to establish the continuous delivery of information assets Kanban = Can be used for the user stories and the requirements management Agile = Another approach used in Data Vault 2.0 projects

Match the following roles with their descriptions in a Data Vault 2.0 team:

Product owner = Responsible for defining and prioritizing the product backlog Developers = Responsible for implementing the functionality Scrum master = Responsible for ensuring the team follows the Scrum process and removing any obstacles that may hinder the team's progress Dashboard designer = Responsible for designing and implementing the dashboard

Match the following terms with their correct definitions:

Data Vault 2.0 = A data modeling methodology that is designed to provide historical, traceable, and auditable data Sprint planning = A meeting where the team determines the product backlog items they will work on during the upcoming sprint Retrospective = A meeting held at the end of the sprint to review what went well, what could be improved, and how to make those improvements User story card = A card where the front could be the introductory user story and the details could be on the back

Match the following terms with their correct descriptions in the context of Data Vault 2.0:

1-Click Child-Links = A free plug-in available on the Visual Studio Marketplace that allows teams to modify the structure of their sub-tasks in the copy of the work item Sprint plan = The blueprint for the information delivery process in a Data Vault team Retrospective meeting = A meeting conducted in the Data Vault 2.0 methodology, just like in Scrum, to improve the development process Scrum board = Organized to show direct business value and typically has much fewer cards in a Data Vault 2.0 project

Match the following terms with their descriptions in the context of a Data Vault 2.0 project:

Template = Left on the Scrum board for later use when new work items should be created in a Data Vault 2.0 project Sub-tasks = Configured as a backlog item in a Data Vault 2.0 project, using the template with all the required sub-tasks from the sprint plan Sprint type = Requires a different sprint plan and work item template in a Data Vault 2.0 project 1 Business value = The team should focus on producing this on the Scrum board in a Data Vault 2.0 project

Match the following roles with their responsibilities in a Data Vault 2.0 team:

Scrum master = Responsible for ensuring that the team is following the Scrum methodology and the Data Vault 2.0 practices Developer = Responsible for implementing the work items on the Scrum board in a Data Vault 2.0 project Product owner = Responsible for prioritizing the work items on the Scrum board in a Data Vault 2.0 project Tester = Responsible for verifying the implemented work items in a Data Vault 2.0 project

Match the following terms with their correct definitions in the context of data warehousing and Data Vault 2.0:

Data Vault 2.0 = A data modeling method that is designed to provide long-term historical storage of data from different sources Scrum = An Agile framework for managing work in software development Sprint = A time-boxed period during which a specific task or set of tasks is completed Backlog = A list of tasks that need to be completed in a project

Match the following sections of the document structure in a Data Vault 2.0 project with their descriptions:

Graphical mockup = A section that includes visual representations of the data model in a Data Vault 2.0 project KPI descriptions = A section that provides a detailed explanation of the key performance indicators used in a Data Vault 2.0 project Data sources = A section that lists all the sources of data used in a Data Vault 2.0 project Test cases = A section that includes the scenarios and steps to be executed to verify the data model in a Data Vault 2.0 project

Match the following Azure DevOps functions with their descriptions:

Sprint planning = A function in Azure DevOps that allows the team to plan the work for the upcoming sprint Sprint review = A function in Azure DevOps that allows the team to present the work done during the sprint to stakeholders Retrospective = A function in Azure DevOps that allows the team to reflect on the previous sprint and identify areas for improvement Scrum board = A function in Azure DevOps that provides a visual representation of the work to be done in the current sprint

Discover the specialized roles within a Data Vault team! Learn about automation engineers, data modelers, testers, dashboard designers, and more. Understand how the team's focus on specific tools and tasks creates a unique dynamic. Explore the dependencies that arise from the layered nature of Data Vault.

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