When managing big data, organizations will find that there will be many consumers of the vast amounts of data, ranging from applications and data repositories to humans via various analytics and reporting tools. After all, the data is an expression of the enterprise, and with digital transformation, that enterprise is increasingly expressed in the…
In the opening installment of this blog series—Data Lakes, Data Warehouses and Data Hubs: Do we need another choice? I explore why simply migrating these on-prem data integration, management, and analytics platforms to the Cloud does not fully address modern data analytics needs. In comparing these three platforms, it becomes clear that all of…
And why is it better than a Data Lake or an Analytics Hub? In the opening installment of this blog series—Data Lakes, Data Warehouses and Data Hubs: Do we need another choice? I explore why simply migrating these on-prem data integration, management, and analytics platforms to the Cloud does not fully address modern data…
Data Lakes, Data Warehouses, and Data Hubs - Do we need another choice? There’s a long-standing debate, dating back to the early days of Hadoop, about what kind of data repository is best for a given data analytics use case. A Data Lake? A Data Hub? A Data Warehouse? Despite Hadoop’s fall from grace,…
Are you still doing point-to-point integrations between your IT applications? If you are, please stop. It makes life difficult for your IT support staff, increases your overhead costs, and makes it harder for you to be agile and to evolve your integrations as business needs change. Instead, consider whether this is the right time…
ETL (extract, transfer, and load) and IPaaS (Integration Platform as a Service) are data integration methods to connect different IT systems and data sources together. While ETL is a set of techniques for moving data, IPaaS is a more holistic set of capabilities for moving and integrating data between IT systems. IPaaS is often…
If you are still using point-to-point integrations to move data through your IT environment, then you are spending too much money and missing the opportunities a modern data can provide. A data hub is a centralized service that connects all of your IT systems, whether they be Web applications, IoT devices, SaaS solutions, or…
