ABSTRACT
Digital transformation requires business and execution agility. Modern data management solutions frequently provide six types of optimizations. Push down optimizations, remote function execution and functional compensation enable full leveraging of the environment. Automation, such as auto ETL, no hard-code and the ability to leverage autoscaling without significant configuration, enables agility and simplifies even the most complex global hybrid environments.
ABSTRACT
When selecting technologies for your data architecture, it is important to understand common use cases enabled by the technology. This research examines six use cases enabled by data validation and the architecture capabilities used to support the use case. To this end, we examine the validation of ingestion and transformations, the data migration, as well as cloud update use cases. The use cases for production monitoring, completeness of data sets, the ability to compare BI tools’ values, as well as data DevOps are also evaluated.
ABSTRACT
North America’s largest construction trade show, CONEXPO-CON/AGG and IFPE are held together every three years in Las Vegas. There were endless examples of Industrial Intelligence of Things (IIoT) and edge computing. The conference featured 2.7 million net square feet of exhibits, over 2,300 exhibitors, 150 educational courses, and 130,000 attendees from 150 countries. The intelligence enabled by sensors continues to expand as does the visibility of the results. The digital transformation of the construction site is underway with multiple vendors offering supply chain and job site integrated views. The show closed one day early due to COVID-19.
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.