Learning to Trust in the Black Box with Observability
If your organization spends more time scratching its collective head about data quality or operational issues than it does asking unique and interesting …
Topic: Data management
Join the Open Banking and Open Finance Revolution
Open Banking is now expanding towards the broader revolution of Open Finance, which goes beyond any regulatory framework and is designed to share more precise …
The Role of Knowledge Graphs in Cloud Data Integration
Graph databases and knowledge graphs have a number of built-in advantages when it comes to overcoming the challenges of data
Time Consumed by Data Prep: Is This a Bad Thing?
Data professionals are spending too much time on data prep, but the quality assurance that provides ensures projects are working with clean data
Major Integration Challenges of Today and How to Overcome Them
We discuss integration challenges and how the use of AI, no code and low code techniques, and automation can help companies overcome
Overcome These Four Bad Data Quality Categories
It is essential that organizations assess the need for improved data quality and make the necessary changes to save not only their reputation but the bottom …
Change Data Capture and the Many Roles it Can Play
In modern microservices-driven architectures, CDC has gained new importance by providing a bridge to connect traditional databases with cloud-native, …
Avoiding the Skepticism-driven Culture of Data Downtime
Data downtime creates a downward spiral of company culture, stopping companies from achieving the degree of data-driven decision-making that they aspire
Data Prep Key Part of Automating Integration
One particularly time-consuming and manual integration process step that could benefit from automation is data preparation.
6 Rules for Energizing the Data Behind Industrial AI
Companies must rein in big data to ensure their industrial AI systems are delivering the right insights at the right
