Category: Type

Do you know proactive fraud detection and prevention could save organizations up to a staggering $5.9 billion annually? However, gathering relevant data for this purpose is no easy task. Financial data integration plays a crucial role in the fight against…

What if you could automate your credit risk assessment workflows and make them faster, easier, and more accurate? What if you could save up to 91% on coding and data preparation time, 80% on data pipeline building time, and 65% on…

This article serves as a comprehensive guide to change data capture (CDC) in PostgreSQL, also known as Postgres. It will take you through the different ways of implementing Postgres CDC, including the pros and cons, as well as an automated…

Zero ETL is a data integration technique where data is transferred from source to destination without the need for a traditional ETL (Extract, Transform, Load) process. Zero–ETL simplifies data accessibility by enabling seamless querying across disparate data sources without necessitating…

IBM estimates that the insurance industry contributes significantly to the creation of 2.5 quintillion bytes of data every day, with claims data being a major contributor to this massive volume. Manual processing of this data is no longer practical, given…