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Tableflow: Represent Kafka topics as Apache Iceberg or Delta Lake tables in a few clicks

Mar 19, 2025 By Confluent In Confluent
Tableflow represents Kafka topics and associate schemas as open-table formats such as Apache Iceberg(Generally Available) or Delta Lake (Early Access) in a few clicks to feed any data lake, warehouse, or analytics engine. It removes the need for complex, costly and error-prone data pipelines that are currently being used to feed streaming data to data lakes while delivering strong read performance and automated data maintenance. Customers can also bring their own storage ensuring flexibility, cost savings, and security.
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Ep 4 - From Legacy to Cutting-Edge: Henry Schein One's Data Streaming Vision

Mar 18, 2025 By Confluent In Confluent
Despite its value, legacy data can feel like a roadblock in a fast-paced digital world—Henry Schein One is clearing the path forward with real-time data streaming. In this episode, Chris Kapp, Software Architect at Henry Schein One (HS1), shares how his team modernizes data management to stay competitive and unlock real-time insights. You’ll learn about: Get ready to future-proof your data strategy with this must-listen episode for technology leaders facing scalability, governance, or integration challenges.
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Real-Time Toxicity Detection in Games: Balancing Moderation and Player Experience

Mar 14, 2025 By Sean Falconer In Confluent
Toxic player behavior will drive players away from an otherwise successful game. While friendly banter and trash talk can build camaraderie, context matters—as what’s okay among longtime friends might be harassment to a stranger. How can studios create a positive atmosphere for all while still allowing friends to have a little fun at each other’s expense?
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The Business Value of the DSP: Part 1 - From Apache Kafka to a DSP

Mar 13, 2025 By Lyndon Hedderly In Confluent
In our 2024 Data Streaming Report, we surveyed 4,110 IT leaders about the pivotal role that data streaming plays in their businesses. Of the respondents, 91% indicated that data streaming platforms (DSPs) are critical or important for achieving their data-related objectives—a result that comes as no surprise. Most IT teams—from architecture and integration teams to application and data engineers—that are using Confluent’s DSP get it.
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The Business Value of the DSP: Part 2 - A Framework for Measuring Impact

Mar 13, 2025 By Lyndon Hedderly In Confluent
In our previous blog post, we explored how Confluent has evolved into a comprehensive data streaming platform (DSP). Now that we understand what a DSP is, let's address a key question: How does it deliver business value? When business stakeholders assess value, they typically look at how a solution might help drive benefits across three key areas: So how does a DSP support these key areas?
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Data Accessibility: The Key to a Data-Driven Business Strategy

Mar 10, 2025 By Confluent Staff In Confluent
Easy access to data is a key part of any successful business strategy. Accessing, sharing, and analyzing data quickly helps organizations make smarter decisions, streamline operations, and stay competitive. However, many businesses face a significant challenge: they collect vast amounts of data from different sources yet often lack the right tools, processes, or infrastructure to make that data easy to access and use across the company.
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