How to Secure HIPPA-Sensitive Data with Smart Architecture
Chris Kapp of Henry Schein One shares how his team is securing HIPAA data through a smart naming strategy, internal governance, and tight control over tagging and access.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Ep 4 - From Legacy to Cutting-Edge: Henry Schein One's Data Streaming Vision
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.
Real-Time Toxicity Detection in Games: Balancing Moderation and Player Experience
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?
The Business Value of the DSP: Part 1 - From Apache Kafka to a DSP
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.
The Business Value of the DSP: Part 2 - A Framework for Measuring Impact
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?
How To Delete a Topic in Apache Kafka: A Step-By-Step Guide
Can you delete a topic in Apache Kafka? The answer is yes—but the process depends on your Kafka configuration and the environment in which you are working (i.e., if it is self-managed, hosted in the cloud, or a fully managed Kafka service like Confluent Cloud).
The Hidden Cost of ELT: Are You Doing It Wrong?
Was the ELT bandwagon a mistake? Mike Agnich, General Manager, Data Streaming Platform at Confluent talks about why real-time ETL saves you from expensive headaches.
Data Accessibility: The Key to a Data-Driven Business Strategy
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.
How Data-Driven Decision-Making Fuels Competitive Advantage
Relying on intuition alone isn’t enough to stay ahead of the game in today’s fast-paced business environment. Success now comes from smart, data-driven decision-making backed by real-time insights and analytics. With stream processing and modern analytics platforms, businesses can collect, process, and analyze information as it happens, giving them a clear edge.
Data-Driven Business Agility: Adapting to Market Changes in Real Time
Companies need to adapt quickly to stay ahead of their competitors. This is where data-driven agility becomes essential. By leveraging real-time data, businesses can immediately respond to market changes and confidently make informed decisions. This article will explain data-driven agility, how it works, and why it’s a valuable approach for any organization. At its core, data-driven agility involves using live data to predict and respond to changes.