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New Practices in Data Governance and Data Fabric for Telecommunications

Cloudera

The management of data assets in multiple clouds is introducing new data governance requirements, and it is both useful and instructive to have a view from the TM Forum to help navigate the changes. . What’s new in data governance for telco? In the past, infrastructure was simply that — infrastructure.

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Solving Complex Telecom Challenges with Data Governance and Location Analytics

Precisely

For instance, telcos are early adopters of location intelligence – spatial analytics has been helping telecommunications firms by adding rich location-based context to their existing data sets for years. Despite that fact, valuable data often remains locked up in various silos across the organization.

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Modern Data Architecture for Telecommunications

Cloudera

In the wake of the disruption caused by the world’s turbulence over the past few years , the telecommunications industry has come out reasonably unscathed. There are three major architectures under the modern data architecture umbrella. . Modern data architecture on Cloudera: bringing it all together for telco.

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Telecommunications and the Hybrid Data Cloud

Cloudera

How to optimize an enterprise data architecture with private cloud and multiple public cloud options? As the inexorable drive to cloud continues, telecommunications service providers (CSPs) around the world – often laggards in adopting disruptive technologies – are embracing virtualization. Hybrid Data Cloud and Data Governance.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

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Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities.

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SoftBank Selects Cloudera Data Platform to Leverage Customer Intelligence While Ensuring Data Security

Cloudera

Cloudera Data Platform (CDP) will enable SoftBank to increase resources flexibly as needed and adjust resources to meet business needs. In addition, it has functions to review and update user access controls regularly as part of data governance.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities.