Systems | Development | Analytics | API | Testing

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.

Imagine a universal language that lets different databases speak to each other seamlessly. Java Database Connectivity (or JDBC, for short) is that translator for the digital world. By providing a standardized approach to database interactions, JDBC drivers empower developers to connect, query, and manage data across diverse sources with unprecedented simplicity and efficiency. Keep reading to discover how JDBC transforms complex data connectivity challenges into seamless solutions.

If you are on the verge of launching a new app or service that involves the collection of children’s data, you might have missed one essential consideration: securing your COPPA compliance. If so, we recommend you immediately stop collecting and sharing children's data. Service providers not following the Children’s Online Privacy Protection Act (COPPA) rules will face major monetary and legal repercussions.

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).

AI and analytics are only as powerful as the data they rely on. Without accurate, consistent, and governed data, even the most advanced AI models can produce misleading results. That’s why data quality isn’t just nice to have — it’s essential. At Qlik, our customers across the globe rely on our solutions to drive AI-powered insights, optimize decision-making, and mitigate risk. And it all starts with trusted data.

Snowflake data masking offers a practical and cost-effective solution to mitigate data risk in your non-production Snowflake environments. Enterprises who want to get an even better balance of compliance, quality, and speed add solutions to enhance native Snowflake masking. In this blog, let’s explore how data masking works in Snowflake, how it’s used in various industries, and what you need in a compliance-focused enterprise.

Much of your organization’s most important data is unstructured. Automated data integration allows you to access it, and AI to analyze it.