Who benefits from Data Fabric?

Data Fabric supports meaningful data ownership and is the essential foundation for companies seeking a data-centric approach to an enterprise architecture, or that are entering the hyper-intensive data future of AI/ML, IoT, and other emerging technology.

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The explosion in volume, variety, velocity and dynamic nature of data sets is presenting people with the very real challenges of:

Preventing ‘data swamps’ and delivering valuable, actionable data

Tracking shadow IT

Protecting confidential or sensitive data

Reacting quickly and with agility to market forces

Effectively managing and meeting increasingly stringent regulatory requirements

Here are just a few people that benefit

Data Architect

Responsible for documenting and designing data assets. Has a valuable wealth of knowledge about the information and data of the organization.

Data Warehouse Architect

Responsible for taking requirements for the data, the design and the structure of the warehouse, coordinating with data integration engineers to load the warehouse and documenting the content of the warehouse.

Data Integration Engineer

Designing and implementing the movement of data from operational data assets, or the data lake, that act as source data for the warehouse.

Database Administrator (DBA)

Any changes to databases will usually be approved by a DBA. They will often work with DevOps tools to automate the delivery of change in a controlled fashion.

Data Analyst

Manipulates and pulls data into analysis tools or Business Intelligence (BI) products. With a good understanding of database theory and SQL scripting, they use these skills to build calculations and analyses upon data elements.

Data Scientist / Data Analyst

Produce algorithms, predictive models and custom analyses with advanced techniques such as Artificial Intelligence (AI) and Machine Learning (ML).

Data Steward (Business)

Defines the information important to the organization as a list of standardised Business Terms arranged into taxonomies and ontologies. Sets the policies and rules that apply to that information and monitors how data conforms to those rules.

Data Steward (Technical)

Builds the Data Dictionary; a catalog of data assets. For each assets gathers useful information and then documents the schema of the asset in technical language. They will then map elements in that schema back to the Business Terms.

Chief Data Officer

Carries the overall responsibility for the data of the organization. Needs to ensure that data made available through the Data Fabric is protected and made available only to the right people for the right purposes.

Data Security Architect

Looks at the infrastructure of the organisations to ensure that data is properly protected. They will review all technology storing and moving data including the lake, warehouse and pipelines.