Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized data architectures. Th...
https://www.datamanagementblog.com/embracing-data-mesh-modern-approach-data-management/
Reading Time: 5 minutes In my previous post, I described the data fabric architectural pattern. Before turning to the data lakehouse, let’s first look at what I mean by an architectural pattern...
https://www.datamanagementblog.com/data-lakehouse-weaving-architectural-patterns-ii/
Reading Time: 4 minutes Since its first incarnation almost 35 years ago in my IBM Systems Journal article, the data warehouse (DW) has remained a key architectural pattern for decision-making sup...
https://www.datamanagementblog.com/data-fabric-weaving-architectural-patterns-1/
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 syst...
https://www.datamanagementblog.com/data-virtualization-easy-data-integration-for-complex-pipelines/
Reading Time: 3 minutes If you’ve decided to implement a data lake, you might want to keep Gartner’s assessment in mind, which is that about 80% of all data lakes projects will actually fail....
https://www.datamanagementblog.com/data-lakes-data-virtualization-key-successful/
Reading Time: 3 minutes The star of SnowflakeDB keeps rising. This cloud-based, analytical SQL database server offers a set of powerful features, not in the least of which is high performance, en...
https://www.datamanagementblog.com/data-virtualization-snowflakedb-powerful-combination/
Reading Time: 4 minutes According to CIO magazine, the first chief data officer (CDO) was employed at Capital One in 2002, and since then the role has become widespread, driven by the recent expl...
https://www.datamanagementblog.com/data-virtualization-cdo-best-friend/
Reading Time: 3 minutes Apache Spark and data virtualization enables us to extract data from heterogeneous data sources, integrate and process that data, and make it available for a wide range of...
https://www.datamanagementblog.com/spark-data-virtualization-competitors-or-cooperators/
Reading Time: 3 minutes Some still see data virtualization as an alternative technology to ETL. For them it’s nothing more than another style of data integration. However, data virtualization i...
https://www.datamanagementblog.com/easy-database-migration-with-data-virtualization/
Reading Time: 3 minutes Having advanced caching mechanisms is a key capability of an enterprise-class Data Virtualization platform. Cache in a data virtualization environment is used in different...