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.

In the ever-evolving landscape of the financial services Industry, change is a constant and transformation is a requirement—to stay at pace with new regulations, risk mitigation, and the technological developments that support transformation. And just as financial services experiences its cycles, this time of year I find myself returning to the topic of cost reduction.

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.

In part one of this series, we looked at some basic usages of Action Policy. Now we'll leverage Action Policy for more advanced authorization use cases. First up, let's explore applying pre-checks.

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.

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.

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.

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.

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.

Skaffold is a command line tool that streamlines the workflow for building,pushing and deploying Kubernetes applications. Get started with our tutorial.