The dual-write problem occurs when two external systems must be updated in an atomic fashion. A classic example is updating an application’s database while pushing an event into a messaging system like Apache Kafka. If the database update succeeds but the write to Kafka fails, the system ends up in an inconsistent state. However, the dual-write problem isn’t unique to event-driven systems or Kafka. It occurs in many situations involving different technologies and architectures.

In Part 1 of “Retail Media’s Business Case for Data Clean Rooms,” we discussed how to (1) assess your data assets and (2) define your data structures and permissions. Once you have a plan on paper, you can begin sizing the data clean room opportunity for your business.

What do 82% of global executives say is crucial for AI success? MIT's latest findings highlight the importance of effective data integration.

XML (eXtensible Markup Language) and JSON (JavaScript Object Notation) are two of the most popular data interchange formats available.

The generative AI industry is changing fast. New models and technologies (Hello GPT-4o) are emerging regularly, each more advanced than the last. This rapid development cycle means that what was cutting-edge a year ago might now be considered outdated. The rate of change demands a culture of continuous learning and technological adaptation.

From business-wide objectives to long-term targets, every organization has specific metrics they need to track. One way to communicate those insights is a KPI dashboard. Key performance indicator (KPI) dashboards are a great way for executives to improve their management of strategic goals, and keep on top of changes, issues and trends in performance at a high-level, with many useful applications when used correctly, alongside other modern analytics tools.