Tag
Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3…
Reading Time: 4 minutes My previous post explained that, in my mind, the data lakehouse differs hardly at all from the traditional data warehouse architectural design pattern (ADP). It consists largely of the application of new cloud-based technology to the same requirements and constraints…
Reading Time: 4 minutes What do data virtualization, streaming, and extract, transform, and load (ETL) processes have in common? They all deliver data from disparate sources to the business intelligence (BI), analytics, and other applications used by businesspeople, data scientists, and analysts. Like utilities,…
Reading Time: 4 minutes In many businesses today, data complexity is already a challenge with more and more data stores both on-premises and in the cloud as well as thousands of possible data sources. The days of just having a data warehouse and some…
Reading Time: 3 minutes It’s a common business challenge: the business users require information quickly to inform important decisions, but the team they rely on for this need, primarily the IT team, cannot provide the information fast enough. Perhaps more than a challenge, it’s…
Reading Time: 6 minutes The logical data warehouse is the data architecture of the future — fast, flexible and ideal to support self-service BI. In the past year, I have published quite a lot regarding the architectural advantages of the logical data warehouse (read…
Reading Time: 2 minutes Anyone working in business intelligence and analytics must count themselves lucky. And I’m feeling lucky too. We were here when Tableau and Qlik set a seismic market shift in motion, from reliance on IT to business user independence, creating the…
Reading Time: 4 minutes Complex questions that need simple … but not simplistic … answers. Update: make sure you also read the second part of this content. Data Virtualization Performance and Source System Impact (Part 2) Within sixty seconds into a data virtualization conversation,…
Reading Time: 6 minutes One could almost call it tunnel vision. The way that we consistently hold on to one way in which to fulfil each and every need for information: data copying, transformation and integration in one physical database. We consider it almost…
Reading Time: 2 minutes The Denodo Platform has successfully completed certification with the SAP NetWeaver technology integration platform. This guarantees full interoperability and certified performance with SAP technology, which is critical especially when dealing with extremely large volumes of data in analytical environments. The…
