frequently referred to as NoSQL, refer to logical data models that do not follow relational Non-relational models, algebra for the storage and manipulation of data. consists of built-in data management capabilities that provide the necessary support Resource negotiation functions, such as operations management, workflow integration, security, governance, support for additional processing models, and controls for multi-tenant environments, providing higher availability and lower latency applications. is the ability to apply tools from one domain to another. Reusability is the application of a data schema through preparation steps such as transformations, cleansing, Shema on read and integration at the time the data is read from the database. such as storage area networks (SANs) and network-attached storage (NAS), use a single Shared-disk file systems, storage pool, which is accessed from multiple computing resources. Small Data refers to the limits in the size of datasets that analysts can fully evaluate and understand. is the SQL query language standard used to query relational databases. SQL is data that has a pre-defined data model or is organized in a pre-defined way. Structured data is data that does not have a pre-defined data model or is not organized in a pre-defined way. Unstructured data refers to appropriateness of the data for its intended use. Validity refers to the inherent wealth, economic and social, embedded in any dataset. Value refers to changes in dataset, whether data flow rate, format/structure, semantics, and/or quality that Variability impact the analytics application. refers to data from multiple repositories, domains, or types. Variety refers to the rate of data flow. Velocity refers to the accuracy of the data. Veracity A Vertical Data Scientist is a subject matter expert in specific disciplines involved in the overall data science process. is increasing the performance of data processing through improvements to processors, memory, Vertical scaling storage, or connectivity. refers to the tendency for data structures to change over time. Volatility refers to the size of the dataset. Volume
Non-relational models, frequently referred to as NoSQL, refer to logical data models that do not follow relational algebra for the storage and manipulation of data. Resource negotiation consists of built-in data management capabilities that provide the necessary support functions, such as operations management, workflow integration, security, governance, support for additional processing models, and controls for multi-tenant environments, providing higher availability and lower latency applications. Reusability is the ability to apply tools from one domain to another. Shema on read is the application of a data schema through preparation steps such as transformations, cleansing, and integration at the time the data is read from the database. Shared-disk file systems, such as storage area networks (SANs) and network-attached storage (NAS), use a single storage pool, which is accessed from multiple computing resources. Small Data refers to the limits in the size of datasets that analysts can fully evaluate and understand. SQL is the SQL query language standard used to query relational databases. Structured data is data that has a pre-defined data model or is organized in a pre-defined way. Unstructured data is data that does not have a pre-defined data model or is not organized in a pre-defined way. Validity refers to appropriateness of the data for its intended use. Value refers to the inherent wealth, economic and social, embedded in any dataset. Variability refers to changes in dataset, whether data flow rate, format/structure, semantics, and/or quality that impact the analytics application. Variety refers to data from multiple repositories, domains, or types. Velocity refers to the rate of data flow. Veracity refers to the accuracy of the data. A Vertical Data Scientist is a subject matter expert in specific disciplines involved in the overall data science process. Vertical scaling is increasing the performance of data processing through improvements to processors, memory, storage, or connectivity. Volatility refers to the tendency for data structures to change over time. Volume refers to the size of the dataset.