Why Data Catalogs are Becoming Commodities…and What Comes Next
For CDOs and data leaders, the imperative is clear: move beyond the data catalog mindset. Embrace platforms that provide a holistic view of data health and …
For CDOs and data leaders, the imperative is clear: move beyond the data catalog mindset. Embrace platforms that provide a holistic view of data health and …
Picking the right database can make or break your AI project. Besides strong integration capabilities, cost-effectiveness and scalability are also key …
While MQTT and OPC UA are suitable for different use cases, they are often used together. Such a hybrid approach enhances interoperability between cloud …
The integration of taxonomies, ontologies, and semantic layers is essential for modern enterprises aiming to harness the full potential of their data.
As data continues to play an increasingly central role in business operations and decision-making, the importance of efficient, flexible, and scalable data …
As businesses continue to evolve in the digital age, adopting a Data Mesh framework offers a path to more agile, efficient, and impactful data
Lakehouse architecture is revolutionizing customer data management by eliminating data silos, maximizing flexibility, and improving data quality and …
The data lakehouse concept presents a harmonious fusion of the strengths of both data lakes and data warehouses.
Technical debt in the context of data pipelines refers to the compromises and shortcuts developers may take when building, managing, and maintaining the …
Making the most of streaming edge data requires a special infrastructure architecture that accommodates the data throughout its lifecycle.