Canonical Data Modeling documents, using Data Modeling techniques, how messages or packets pass between different systems internally in the organization and across different company systems, to do e-business. Data sometimes vary, across systems, in their definitions. For example, a company may have defined “customer” for a data warehouse constructed 10 years ago and then characterized […]
What Is Cloud Computing?
Cloud computing provides computation, software, data access, and storage systems without requiring knowledge of the physical location and configuration needed. Cloud computing may be executed on or off premises, and has adopted virtualization, service-oriented architecture, and utility computing. Databases in the cloud may be implemented by: Virtual Machine Image: Users purchase virtual machine instances with […]
What Is Cognitive Computing?
Cognitive computing, a subfield of artificial intelligence, simulates human thought processes in machines using self-learning algorithms through data mining, pattern recognition, and natural language processing. These artificial environments rely on deep learning algorithms and neural networks to process information by comparing it to a teaching set of data. By mimicking human thought processes, computers help people […]
What Is Data Architecture? Components and Uses
Data Architecture describes the infrastructure that connects a Business Strategy and Data Strategy with technical execution. Ideally, Data Architecture happens within a systematic framework, providing a foundation for people and systems to work with data. Three types of components underlie the architecture infrastructure and connect to drive insights, make data-driven decisions, and manage risk. They include: Specific examples of […]
What Is Data Cleansing?
Data cleansing (aka data cleaning or data scrubbing) is the act of making system data ready for analysis by removing inaccuracies or errors. This process prevents questionable and costly business decisions based on messy data. Data volumes and sources have grown much bigger and are expected to scale up even quicker. Companies wish to access […]
What Is Data Curation?
Data curation, as defined by The University of Illinois’ Graduate School of Library and Information Science: “is the active and ongoing management of data through its life cycle of interest and usefulness.” Sayeed Choudhury, Associate Dean for Research Data Management at Johns Hopkins University (JHU) and leader of the Data Conservancy, further breaks down Data […]
What Is Data Discovery?
Data discovery describes processes in understanding data sets on hand for data integration and/or data analysis. This step occurs in design and should combine technical search from tools with subject matter expertise, from people. During data discovery, a high-level view is taken in assessing data preparation, or data quality needs. Data discovery can be broken […]
What Is Data Ethics?
Data Ethics describe a code of behavior, specifically what is right and wrong, encompassing the following: Data Handling: generation, recording, curation, processing, dissemination, sharing, and use. Algorithms: AI, artificial agents, machine learning, and robots. Corresponding Practices: responsible innovation, programming, hacking, and professional codes. Data Ethics build on the foundation provided by computer and information ethics, but […]
What Is Data Governance? Definition, Types, Uses
Data Governance (DG) is a business program and bedrock that supports harmonized data activities across the organization. It accomplishes this goal as a formalized framework implemented to the specifications of a corporate Data Strategy. Applying governance, as a whole, requires connecting different components – such as roles, processes, communications, metrics, and tools – to increase the likelihood that the […]
What Is Data Integration?
Data integration refers to actions taken in creating consistent, quality, and usable data from one or more diverse data sets. As technologies become more complex and change over time, data variety and volume grow exponentially and the speed of data transfer becomes ever shorter. Data integration has and will continue to become more critical to […]