Confluent (Blog)
Confluent is leading the way in a new type of data infrastructure that emphasizes data in motion. Our cloud-based platform serves as the essential foundation for managing real-time data, allowing information from various sources to flow seamlessly throughout an organization. By using Confluent, businesses can address the growing need to provide engaging digital experiences and run operations in real-time. Our goal is to empower every organization to leverage data in motion, enabling them to succeed and excel in today's fast-paced environment.
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Articles
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Jan 14, 2025 |
confluent.io | Hannah Miao
As we step into the new year, it’s the perfect time to reflect on the exciting advancements Confluent made in 2024. Our Q4 launch wrapped up the year with a host of powerful features paving the way for even more innovation in 2025. This launch is all about delivering private networking and enhanced security across the data streaming platform.
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Jan 5, 2025 |
confluent.io | Adam Watkins
In building the next generation of web agents, we need the simplest, fastest way to extract web data at scale for production use cases. And for every new generative AI (GenAI) application, developers and businesses need reliable data to power the underlying models. But getting that data in a usable, trustworthy format? That’s where things get complicated.
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Oct 25, 2024 |
confluent.io | Adam Bellemare
The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both operational and analytical use cases. Streams provide low-latency capabilities to enable timely reactions to events, while tables provide higher-latency but extremely batch-efficient querying capabilities. You simply choose the most relevant processing head for your requirements and plug it into the data.
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Oct 17, 2024 |
confluent.io | Adam Bellemare
The headless data architecture is an organic emergence of the separation of data storage, management, optimization, and access from the services that write, process, and query it. With this architecture, you can manage your data from a single logical location, including permissions, schema evolution, and table optimizations.
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Oct 14, 2024 |
confluent.io | David Arthur |Chase Thomas
We are now in the final chapter of Apache Kafka’s® multi-year journey to remove Apache ZooKeeper™ and fully transition to self-managed metadata in KRaft. Many Kafka users and customers are beginning to migrate to KRaft and are eager to understand its performance characteristics in production environments.
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