It is related to how data fabrics can be used and it's overall overview .

2. WHAT IS DATA FABRIC?
Data fabric is an end-to-end data
integration and
management solution , consisting of
architecture , data management and
integration software , and shared data that
helps organizations manage their data . A
data fabric provides a unified , consistent
user experience and access to data for any
member of an organization worldwide and

3. WHY USE A DATA FABRIC ?
Data needs to be accessible to users who need it, not locked away
behind firewalls or located piecemeal in a range of locations.
Traditional data integration is no longer meeting new business
demands.
Many organizations cannot integrate, process, and transform data
with other sources.
This gives organizations a competitive edge, allowing them to better
meet customer demands.

4. CHALLENGES OF TODAY'S DATA
INCLUDE
1. Located in multiple on-premises and
cloud locations
2. Different data types
3. Structured and unstructured data
4. Different platform landscapes
5. Maintained on different file systems,
databases, and SaaS applications

5. IMPLEMENTATION OF DATA
FABRIC
3. Storage management
Data is stored in an accessible and efficient manner, with an allowance to scale when
required.
2. Security
The data collected from all sources is to be managed with proper security.
1. Application & Services
Where the necessary infrastructure for acquiring data is built. This includes development of apps and
graphical user interfaces (GUIs) for the customer to interact with the organization.

6. 6. Ecosystem development and integration
Data from the customer needs to be transferred to the data manager and storage
systems in a manner that avoids loss of data.
5. Endpoints
Developing the software defined infrastructure at the storage and access points to allow
insights in real time.
4. Transport
Building the necessary infrastructure for accessing the data from any point in the
organization’s geographic locations.

7. BENEFITS OF DATA FABRIC
An agile model that allows changes to systems,
adapts and adjusts as needed, and works
across all operating and storage systems.
Scalable with minimum interference, no
investment in massively expensive hardware or
highly trained and expensive staff
Providing maximum integrity and complying to
regulations, while maintaining accessibility and
real-time flow of information

8. RISKS WITH DATA FABRIC
A rising concern for organizations is the threat to data security when
it is being transported from one point to another in the data fabric.
It is mandatory that the infrastructure for the transport of data
embeds security firewalls and protocols to ensure safety from
security breaches.
Increasing number of cyber attacks hitting organizations, security of
data at all points in the data cycle is paramount.