How do you share your data architecture with others?

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Data architecture is the design and organization of your data assets, such as databases, data lakes, data warehouses, and data pipelines. It defines how data is stored, processed, accessed, and governed across your enterprise. Data architecture is a crucial component of your data strategy, as it enables you to deliver value from your data and support your business goals.

But data architecture is not a static or isolated artifact. It is a dynamic and collaborative process that involves multiple stakeholders, such as data engineers, data analysts, data scientists, business users, and executives. Therefore, you need to share your data architecture with others, both internally and externally, to ensure alignment, consistency, and transparency.

How do you share your data architecture with others? Here are some tips and best practices to consider.

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Visual storytelling:

Use data architecture stories to illustrate the big picture. These tailored narratives help bridge the gap between technical details and business value, making complex data concepts digestible for all stakeholders.
Clarify the language:

Simplify technical jargon when discussing Data Architecture. Ensuring everyone understands how it ties back to business processes encourages alignment and eases collaboration across departments.

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1 Use data modeling tools

Data modeling tools are software applications that help you create, visualize, and document your data architecture. They allow you to represent your data structures, relationships, constraints, and metadata using standard or custom notation, such as entity-relationship diagrams, UML diagrams, or data flow diagrams. Data modeling tools can also help you generate code, scripts, or schemas for your data platforms, as well as validate and test your data models.

Using data modeling tools can help you share your data architecture with others in a clear and consistent way. You can use them to communicate your data design decisions, assumptions, and trade-offs, as well as to solicit feedback and input from your stakeholders. You can also use them to create data architecture documentation, such as data dictionaries, data catalogs, or data lineage reports, that provide more details and context for your data assets.

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Jessica Talisman

6x Top Voice, LinkedIn??Building information systems for the benefit of all Taxonomy | Ontology | KG | InfoSci
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Additional tools include crosswalks to reconcile schemas and map disjointed nomenclature across systems. Visualization tools that render these mappings help users and stakeholders understand the importance of data architecture decisions and methodologies. A data quality dashboard is another tool that can help an organization understand data architecture and implementations.

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2 Adopt data architecture standards

Data architecture standards are guidelines or frameworks that define the principles, best practices, and conventions for designing and implementing your data architecture. They can cover various aspects of your data architecture, such as naming, formatting, quality, security, governance, integration, and optimization. Data architecture standards can be based on industry standards, such as ISO, ANSI, or DAMA, or on your own organizational standards, such as policies, procedures, or templates.

Adopting data architecture standards can help you share your data architecture with others in a coherent and compliant way. You can use them to ensure that your data architecture follows a common language, logic, and structure, as well as to meet the requirements and expectations of your stakeholders. You can also use them to evaluate and improve your data architecture performance, quality, and maturity.

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3 Leverage data architecture repositories

Data architecture repositories are centralized or distributed storage systems that store and manage your data architecture artifacts, such as data models, schemas, scripts, documentation, or metadata. They can be integrated with your data platforms, such as databases, data lakes, or data warehouses, or with your data tools, such as data modeling tools, data catalog tools, or data governance tools. Data architecture repositories can also support version control, change management, and collaboration features for your data architecture artifacts.

Leveraging data architecture repositories can help you share your data architecture with others in a secure and accessible way. You can use them to publish and distribute your data architecture artifacts to your stakeholders, as well as to enable them to search, browse, or query your data assets. You can also use them to track and monitor the changes and updates of your data architecture artifacts, as well as to facilitate the coordination and cooperation of your data teams.

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4 Present data architecture stories

Data architecture stories are narratives or presentations that explain the purpose, value, and impact of your data architecture. They can be tailored to different audiences, such as technical, business, or executive, depending on their needs and interests. Data architecture stories can also use different formats, such as slides, videos, or dashboards, depending on the level of detail and interactivity required.

Presenting data architecture stories can help you share your data architecture with others in a compelling and engaging way. You can use them to showcase your data architecture vision, goals, and achievements, as well as to demonstrate how your data architecture supports your business strategy, objectives, and outcomes. You can also use them to inspire and influence your stakeholders, as well as to solicit their feedback and support for your data architecture initiatives.

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5 Build data architecture communities

Data architecture communities are groups or networks of people who share a common interest or passion for data architecture. They can be formal or informal, internal or external, online or offline, depending on the scope and scale of your data architecture activities. Data architecture communities can also offer various benefits, such as learning, mentoring, networking, or recognition opportunities for your data architects and other data professionals.

Building data architecture communities can help you share your data architecture with others in a social and interactive way. You can use them to exchange ideas, insights, and experiences about your data architecture challenges and solutions, as well as to learn from the best practices and lessons learned of others. You can also use them to foster a culture of data architecture excellence and innovation within your organization or industry.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Zaki E.

Data & AI Leader at Electronic Arts (EA) ?? | Designing Scale & Innovation ??
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There are always frameworks. Lots and lots of frameworks , that been said it is crucial to emphasize that Data Architecture should not be an esoteric abstraction with difficult-to-understand terms. It is important to simplify and clarify the language used in this field to continuously align current and projected business models and processes with data technological architecture.

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How do you share your data architecture with others?

1

2

3

4

5

6

1 Use data modeling tools

2 Adopt data architecture standards

3 Leverage data architecture repositories

4 Present data architecture stories

5 Build data architecture communities

6 Here’s what else to consider

Data Architecture

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How do you share your data architecture with others?

1

2

3

4

5

6

1 Use data modeling tools

2 Adopt data architecture standards

3 Leverage data architecture repositories

4 Present data architecture stories

5 Build data architecture communities

6 Here’s what else to consider

Data Architecture

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