Data lakes are centralized repositories that allow you to store all your structured and unstructured data at any scale. They are getting assistance from an emerging technology framework that helps streamline the management and reuse of data for new applications, analytics and artificial intelligence (AI) workloads. Tech Target brought this interesting topic to our attention in their article, “Data fabrics help data lakes seek the truth.”
In a data lake you can store your data as-is, without having to first structure the data and run different types of analytics—from dashboards and visualizations to big data processing, real-time analytics and machine learning to guide better decisions. Data fabrics essentially add a semantic layer to data lakes to smooth the process of modeling data infrastructure, reliability and governance.
Typically, data lakes aren’t involved in operational and transactional data flows. Data must still be interpreted in incremental steps when new apps and AI models need to interact with the data. Data fabrics overlays can reduce the need for point-to-point integrations among data lakes.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
