The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation.

Data analytics is the science of analyzing raw data to draw conclusions about it. The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods.

Learn how a data fabric can add value by maximizing the value of a company’s data infrastructure.

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.