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Laying the Foundation for Modern Data Architecture

Cloudera

It’s not enough for businesses to implement and maintain a data architecture. The unpredictability of market shifts and the evolving use of new technologies means businesses need more data they can trust than ever to stay agile and make the right decisions.

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Data Architecture and Strategy in the AI Era

Cloudera

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs).

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IBM Technology Chooses Cloudera as its Preferred Partner for Addressing Real Time Data Movement Using Kafka

Cloudera

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

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How to Manage Risk with Modern Data Architectures

Cloudera

Technology alone would not have prevented the banking crisis, but the fact remains that financial institutions still aren’t leveraging technology as creatively, intelligently, and cost-effectively as they should be. Thus identifying trends that may impact liquidity and take preemptive action to manage their position.

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Beyond Data Fabrics: Cloudera Modern Data Architectures

Cloudera

Data is growing and continues to accelerate its growth. Before you can capitalize on your data you need to know what you have, how you can use it in a safe and compliant manner, and how to make it available to the business. Cloudera data fabric and analyst acclaim. It is changing in makeup and appearing in ever more places.

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Modern Data Architecture for Telecommunications

Cloudera

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Previously, there were three types of data structures in telco: .

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Transforming Data Architecture through Data Mesh and Striim

Striim

This addresses the challenges presented by modern data networks and offers many benefits for companies in various industries. What is Data Mesh? Data Mesh is a modern approach to managing data that is more streamlined and straightforward compared to traditional methods.