translate business needs into data structures, create concrete database designs and be ready to evolve as businesses change. Data analysis is a holistic data strategy that involves examining ...

is the process for extracting data from a data source, often a transactional database, transforming it into a structure suitable for analysis, and loading it into a data warehouse. ELT (extract ...

Clearly, nested data structures can yield huge benefits in a big data environment. However, when it comes to using traditional data visualization and analysis tools to access this type of data ...

Covers algorithms and their performance analysis, data structures, abstraction, and encapsulation. Introduces stacks, queues, linked lists, trees, heaps, priority queues, and hash tables, and their ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

The purpose of gathering corporate information together in a single structure, typically an organization's data warehouse, is to facilitate analysis so that information that has been collected from a ...