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Modern Data Warehousing

Explore Modern Data Warehousing Content

Data warehousing incorporates data stores and conceptual, logical, and physical models to support business goals and end-user information needs. Increasingly, data warehouses need to be updated to handle today's new data types, data volumes, and analytics demands. In this section we focus on the issues surrounding building and supporting data warehouses for a successful BI program, including how enterprises can modernize them to maintain their relevance to today's analytics demands.

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  • Hands-On with Graph Databases

    A graph database is a database that uses nodes, edges, and properties to represent and store data. Use of graph databases to support machine and deep learning is increasing because they support simple and fast retrieval for certain use cases such as Twitter data. learn more