Author

Paul Moxon

Paul is VP of Data Architectures and Chief Evangelist responsible for product management and solution architecture at Denodo. He has over 20 years of experience with leading integration companies such as Progress Software, BEA Systems, and Axway.
Data-virtualization-and-cloud
Cloud

Data Virtualization and the Cloud

Reading Time: 3 minutes Cloud computing is a fact of life. Organizations like the agility, flexibility, and scalability that it provides. They can scale up and scale down their data storage and compute capacity as and when needed. This provides incredible flexibility to new…

Data Lake

Logical Data Lakes

Reading Time: 3 minutes Data lakes have captured the imagination in the past few months. The idea of having all of your data stored in a ‘lake’ – available to all and sundry – is very appealing to both data architects and to the…

fraud
Others

Tackling fraud and waste with Data Virtualization

Reading Time: 2 minutes Tackling fraud and waste with Data Virtualization In many organizations, getting a complete view of their operations is a challenging task. Information is scattered across multiple locations and multiple systems – each providing a glimpse of operations but, usually, not…

caching
Data Science

Data caching modes – when and how to use them

Reading Time: 2 minutes Data caching modes – when and how to use them. Intelligent data caching is a key capability of an enterprise-class Data Virtualization platform and, working in tandem with real-time query optimization and scheduled batch operations, is one of the key…

ETL-Process
Analytics

Breathe new life into your ETL Processes

Reading Time: 2 minutes Breathe new life into your ETL Processes In many organizations, data integration still means using ETL processes to perform the traditional heavy-lifting of data replication and consolidation. While ETL is a tried and tested method for consolidating structured data into…

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