The Confluent Schema Registry plays a pivotal role in ensuring that producers and consumers in a streaming platform are able to communicate effectively. Ensuring the consistent use of schemas and their versions allows producers and consumers to easily interoperate, even when schemas evolve over time.

An overwhelming amount of data is generated daily (we're talking quintillions of bytes). For businesses, the amount of raw data coming in each day makes uncovering insights a challenge. Luckily, data mining gives your organization the ability to dig past what's raw to uncover patterns in your data sets. These patterns can result in business insights that help you make more informed decisions. Data mining tools simplify this process.

Product-led growth (PLG) is a business model that emerged in the last decade with the enormous success of vendors like Slack and Datadog. Unlike traditional sales-led models, PLG models cut out the middlemen (sales reps, for example) and let customers just download and use the product without third-party onboarding. The relative novelty of the pricing model and its demonstrably successful application in growing these companies attracted a lot of attention.

In data engineering and analytics, "Data Mart" and "Data Warehouse" are often used interchangeably. However, they serve distinct purposes and have unique characteristics. Understanding these differences is very important as businesses rely heavily on data-driven insights. This article explores the complexities of Data Marts, Data Warehouses, and the emerging concept of data lakes, showing their functionalities, benefits, and how they fit into the broader data ecosystem.

In the first part of this series, we built the asynchronous components of a much larger solution. Today, we will build the API interface that can be consumed in real-time.

CI/CD, a software development strategy, combines the methodologies of Continuous Integration and Continuous Delivery/Continuous Deployment to safely and reliably deliver new versions of code in iterative short cycles. This practice bridges the gap between developers and operations team by streamlining the building, testing, and deployment of the code by automating the series of steps involved in this otherwise complex process.

We take security seriously at Bitrise which is why we recently completed the SOC 2 Assessment to further data security. We first completed the SOC 2 Type II Assessment in 2021, since then, we renew our Assessment each year to ensure we continue to make security our priority.

With Kong Insomnia 8.3 (available today) we’ve brought back 100% local storage with no cloud synchronization for your projects, while at the same time keeping the same workflow for users who want to collaborate in the cloud. To start using Local Vault, get started for free with Insomnia.

DreamFactory can effortlessly create secure internal REST APIs in a matter of minutes, and offers a comprehensive database testing solution. With DreamFactory, you can validate your databases with ease, ensuring they meet your application’s requirements and deliver impeccable performance. In this article we’ll cover how DreamFactory simplifies the database testing process. Here’s the key things to know about simplifying database tests with DreamFactory.