ABSTRACT
Business agility is a must during these pandemic times. Business agility requires data-driven decisions. Data-driven decision making requires data agility and the modernization of data management to enable business-led analytics. The most common, successful, and scalable data management modernizations involve data virtualization, IPaaS, and data hub technologies to provide a data layer.
ABSTRACT
Modern data virtualization platforms are increasingly becoming a critical part of data architectures for the digitally transformed. Many data virtualization platforms provide data as a service, data preparation, data catalog, logically centralized governance, the ability to join disparate data sets, and an extensive list of query performance optimizations. Likewise, data virtualization platforms are increasingly being used to support six different and critically important use cases. This research evaluates and ranks the various modern data virtualization platforms according to their architectural capabilities and ability to successfully meet popular use cases.
ABSTRACT
When creating your data architecture, it is valuable to understand the extent of data engineering capabilities provided by modern data virtualization platforms. Many data virtualization platforms provide data as a service, data preparation, data catalog, logically centralized governance, the ability to join disparate data sets and an extensive list of query performance optimizations.
ABSTRACT
Digital transformation is a highly sought-after end-game for corporations. Scalable digital transformation cannot occur without the modernization of data management to enable business-led analytics. The most common, successful, and scalable data management modernizations involve data virtualization, IPaaS, and data hub technologies to provide a data layer.