Systems | Development | Analytics | API | Testing

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A Data Migration Example with Linx

This video illustrates a simple data migration example process built with Linx and uses a Stadium front end. The process migrates data from a source database into a target database. Data Validation rules are also applied to catch any error records; these records must be corrected on the front end and then migrated to the target database once resolved.

Building the future of fan engagement: Key requirements for modern realtime experience platforms

Today’s fans are global - often based across the world from their favorite team, sports star, or artist; and they are also virtual - for example, 99% of NBA fans across the world will probably never set foot in an arena. These trends are driving a shift in not only fan behaviors, but also expectations. Fans engaging in live events virtually rely on applications to deliver rich realtime experiences with such low latency and reliability that it can almost replace the in-person experience.

How Producers Work: Kafka Producer and Consumer Internals, Part 1

I shouldn’t have to convince anyone that Apache Kafka is an incredibly useful and powerful technology. As a distributed event streaming platform, it’s adept at storing your event data and serving it up for downstream consuming applications to make sense of that information––in real time or as close to real time as your use case permits. The real beauty of Kafka as a technology is that it can do it with very little effort on your part. In effect, it’s a black box.

Prioritizing What Matters in Software Testing

Drowning in notifications? Prioritize what truly matters. @Marcus Merrell asked himself, "Will I stop for any alert from this app?" Only three made the cut. Apply this to software testing: "Will we stop the shipment if this test fails?" If not, that test isn't helping. Don’t be afraid to delete unnecessary code. Quality control and assurance are crucial.

Connect with Confluent: Celebrating One Year and 50+ Integrations

In just 12 short months, the Connect with Confluent (CwC) technology partner program has transformed from a new, ambitious initiative to expand the data streaming ecosystem into a thriving portfolio that’s rapidly increasing the breadth and value of real-time data. The program now provides a portfolio of 50+ integrations, each one amplifying the capabilities of Confluent's unified data streaming platform for Apache Kafka and Apache Flink.

12 Game-Changing RPA Use Cases Revolutionizing the Energy & Utilities Sector

According to recent research, scaling intelligent automation could save the Energy & Utilities industry between $237 billion and $813 billion in operational costs. Despite this immense potential, utility providers still grapple with intense competition, increasingly stringent regulations, and aging infrastructure and workforce challenges. The demand for more affordable and cleaner renewable energy only adds to these pressures.

Understanding Modern Development Environments: A Complete Guide

A development environment is a crucial setup of tools, configurations, and processes that developers use to build, test, and deploy software. Whether it’s a local setup on a developer’s local machine or a remote cloud-based solution, a development environment’s primary goal is to provide a seamless space where code can be written, tested, and executed efficiently. It’s never been more important to have a streamlined setup of cloud and development environments.