Managing the enterprise data fabric with Cloud Pak for Data

Cloud Pak for Data unlocks the full power of your company’s data. This powerful solution ensures that any cloud can host an open, extendable data and AI platform. What matters most is that you have the correct tools at your disposal at the right moment to obtain value from the relevant data. Using a single, unified interface makes it possible for all your users to work together seamlessly.

The role of the Data Fabric?

But if you’re looking for consistent capabilities across many cloud environments, a data fabric provides the architecture to enable the data services you need.

Cloud, on-premises, and edge devices can all benefit from this unified approach to data management. Visibility and insights into data, data access and management, data protection, and security are just a few of the many benefits that a data fabric can make possible.

An adaptive, flexible, and secure integrated data architecture lies at the centre of a data fabric for enterprise operations. Such use of data fabric represents a new strategic approach that combines the best of on-premise, cloud, and edge storage.

Disconnected infrastructures and data silos are now relics of the past. Enterprise efficiency and effectiveness demand a solid foundation of data management capabilities in the data fabric to maintain consistency across all the linked environments. When enabled, automation decreases the amount of time spent on administrative tasks, increases the efficiency of development, test, and deployment, and protects your assets around the clock. The enterprise can monitor performance, storage costs, and efficiency regardless of the location of data and applications. They can also rapidly make changes to the hybrid cloud infrastructure, such as resolving issues and managing security and compliance concerns while dialling up or down computing, with actionable visibility into the hybrid cloud
infrastructure.

As is apparent, a carefully constructed data fabric boosts efficiency and lowers costs and
makes it faster and easier, and manages infrastructure.

How to Manage Enterprise Data Fabric Using Cloud Pak for Data

Optimize data availability and access

Using any cloud, enterprises can now access all their data from anywhere. All data users can access the information they need using a universal query engine that can intelligently work across any cloud, database, or open file format. This helps minimize the complexity of many query engines by using a distributed query engine and virtualized access to allow total data use and reduced workloads in the field of data engineering. It also reduces the need for expensive and resource-intensive data migration operations by building virtualized data objects tuned to work at a petabyte-scale.

Modern data access allows enterprises to:

• Make use of an intelligent universal query engine to provide easier access to and faster discovery of insights from any data, regardless of its kind, structure, volume, speed, or location. It also allows organizations to keep track of query performance over time.
• Improve query execution time and resource usage by optimizing access paths, resulting in significant performance gains.
• Use the same business data quality and governance principles when accessing data through the internet. A standard governance catalogue provides consistent corporate data quality metrics needed for audit or regulatory compliance queries across all data, regardless of where stored.

Deliver regulated and high-quality data

The aim is to connect the correct data with the right people at the right moment and give the right people in the company access to the correct data at the right time, in the right place, in a controlled, secure environment, to achieve its goals more quickly and at a greater scale. This also allows the data strategists to set standards for data quality, access rights, establish business taxonomy, privacy, and data protection using AI-powered data discovery and profiling to know data location and uses

Users throughout the company can access the found data by leveraging the AI-powered catalogueing and graph-like quick search. This encourages highly functional self-service. It also reduces data engineering workloads by automating virtual or physical data integration needs based on data usage trends. Using reusable data, an AI-powered platform, and an AI platform to link the correct data to the right person at the right time and place across a hybrid landscape allows organizations to:

• Use AI-powered auto-discovery and auto-cataloguing, automatically develop extensive and dynamic metadata knowledge about all of their data. It allows self-service consumption, makes data accessible in business terms, and empowers data consumers to generate value from data anywhere within the organization.
• Use automated data engineering and integration to enable intelligent data integration.
• Use AI augmentation to determine the best integration strategy based on workloads, data policies, and regional data access restrictions, allowing enterprises to provide business-ready data faster. This also supports automated data policy enforcement at a granular level, understanding the data structure and importance of applying appropriate regulations to data and each potential user.
• Use active metadata to automate governance and set privacy and security standards, considering local and worldwide legislation such as GDPR. This helps organizations to efficiently react to compliance, audit, and privacy requirements by capturing technical and business lineage.

Conclusion

Cloud Pak for Data offers a flexible, scalable, and reliable data and analytics infrastructure. Business users can spend less time maintaining their data and more time building their business because of the platform’s end-to-end functionality.

Enterprises have the flexibility to pick and choose which services to install on Cloud Pak for Data to make the most of their resources. Cloud Pak for Data provides a solution that can help modernize the data landscape, produce real-time insights to drive business changes, or deliver amazing, AI-augmented customer experiences. In essence, Cloud Pak for Data is at the heart of the enterprise data and analytics ecosystem for a data-driven business.

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