Category
Reading Time: 7 minutes In the last few years, data virtualization technology has experienced tremendous growth, emerging as a key component for enabling modern data architectures such as the logical data warehouse, data fabric, and data mesh. Gartner recently named it “a must-have data…
Reading Time: 5 minutes Consider a business scenario in which a user wants to determine the sales per month at a product level, and the filter conditions vary for different cases and across different users (So it would require multiple ad hoc queries). If…
Reading Time: 2 minutes Agile processes and automation are on the rise, causing companies to increasingly seek data virtualization solutions, which offer several important benefits: First, maintenance is cheaper compared to traditional tools, and data virtualization, which does not rely on data replication, eliminates…
Reading Time: 2 minutes Public and private organizations around the world are opening doors to their data, and to data geeks like me, this is a very good thing. Data that was once locked within inaccessible corporate databases, flat files. or perhaps even spreadsheets…
Reading Time: 3 minutes Today, the market offers a wide range of IaaS options for data storage, with several public clouds vying for the attention of enterprise customers. Still, on-premises systems remain an option, and several companies prefer to maintain their own private clouds….
Reading Time: 5 minutes Data virtualization has a privileged position in modern architectures for data discovery and use cases such as data fabric and logical data warehousing. Data virtualization provides unified data access, data integration, and a delivery layer, bridging the gap between distributed…
Reading Time: 5 minutes “Data mesh” is a new data analytics paradigm proposed by Zhamak Dehghani, one that is designed to move organizations from monolithic architectures such as the data warehouse and the data lake to more decentralized architectures. As long-time supporters of logical…
Reading Time: 3 minutes Before use, there is always awareness, but before awareness, there is always knowability. These are the elements that, followed in sequence, enables the use of data and information to generate value, value that can be realized in accordance with the…
Reading Time: 3 minutes Data virtualization is a powerful data integration and data management approach, but if you are implementing data virtualization for the first time, it helps to know how to overcome some typical challenges. In this post, I’ll outline some of the…
Reading Time: 2 minutes The volume of data, both structured and unstructured, continues to grow exponentially, and organizations continue to struggle to leverage all of the data to make the best business decisions. The usual solution, until a few years ago, was to set…
