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What is ACID?

ACID properties characterize RDBMS (Relational Database Management System) database processing or a data warehouse. Originally coined in the early 1980s, according to DAMA DMBoK, the ACID philosophy consists of requirements for generating and maintaining reliable database transactions. ACID provides consistency before, during and after transactions through five properties: Atomic: Each task in a transaction succeeds […]

What is Analytics?

Analytics, is described as: “[An] encompassing and multidimensional field that uses mathematics, statistics, predictive modeling and machine-learning techniques to find meaningful patterns and knowledge in recorded data.” Analytics uses the scientific method where an analyst makes hypotheses and uses the analytics tools to test their premises. Analytics is often broken down into three components: Descriptive […]

What is Artificial Intelligence (AI)?

According to the SAS Institute: “Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing. Using these technologies, computers can […]

What is Augmented Analytics?

Augmented analytics combines sophisticated machine learning (ML) and natural language processing (NLP) to enable users to extract intelligence more quickly and simply. In addition, this kind of automation guides the user toward new insights, through built-in trend pattern recognition and pattern recognition tools. Augmented analytics share the following characteristics: Smart data discovery tools assisting business […]

What is BASE?

BASE describes database processing germane to a NoSQL database, such as a data lake. An increasing number of data volumes and variability, according to DAMA DMBoK, spurred the BASE philosophy. Its popularity rose in 2008. BASE provides less assurance than ACID, but it scales very well and reacts well to rapid data changes. BASE construction […]

What is Big Data?

Big Data refers to extremely large data sets of varying types of data – structured, unstructured, and semi-structured – that can be collected, stored, and later analyzed to provide insights for organizations. Big Data’s promise depends on how the data is managed. In the past data was organized in relational models, sometimes within data warehouses, […]

What is a Business Glossary?

A Business Glossary differs from a Data Dictionary in that its focal point, Data Governance, goes beyond a Data Warehouse or database. A Business Glossary is a means of sharing internal vocabulary within an organization. Most Business Glossaries share certain characteristics such as standard Data Definitions and documentation of them; Clear definitions with explanation of […]

What is Business Intelligence?

Business Intelligence (BI) includes the technologies and tools used to analyze and report on different business operations. Business Intelligence uses raw data stored in varying data warehouses, data marts, data lakes, and other storage platforms, and transforms it into actionable knowledge/information assets. Such elements include dashboards, spreadsheets, data visualizations, reports, and many others. According to DATAVERSITY’s […]

What is Canonical Data Modeling?

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 […]

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