Glossary of Terms

An Active Data Warehouse is a combination of products, features, services, and business partnerships that support the Active Enterprise Intelligence business strategy. This term was coined by Teradata in 2001.

Within the context of big data, algorithms are the primary means for uncovering insights and detecting patterns. Thus, they are essential to realizing the big data business case.

An analytics platform is a full-featured technology solution designed to address the needs of large enterprises. Typically, it joins different tools and analytics systems together with an engine to execute, a database or repository to store and manage the data, data mining processes, and techniques and mechanisms for obtaining and preparing data that is not stored.

Apache Hive is an open-source data warehouse infrastructure that provides tools for data summarization, query and analysis. It is specifically designed to support the analysis of large datasets stored in Hadoop files and compatible file systems, such as Amazon S3. Hive was initially developed by data engineers at Facebook in 2008, but is now used by many other companies.

Behavioral analytics measure how users engage with digital applications (web, mobile, IoT) and how seemingly unrelated data points can explain or predict outcomes.

Big data is a group of data sets too large and complex to manipulate or query with standard tools.

Big data analytics refers to the strategy of analyzing large volumes of data gathered from a wide variety of sources, including social networks, videos, digital images, sensors and sales transaction records.

A Business Continuity Plan (BCP) is a detailed document that outlines how an organisation will continue to operate through an unplanned disruption in service. The BCP is not just a regulatory requirement within many industries, but should be considered as a guide to reduce the time it takes for operations to return to normal. It plays a critical role in an organisation’s Operational Resilience.

Business Intelligence (BI) parses business data and presents easy-to-digest reports, performance measures, and trends that drive management decisions.

Cascading is a platform for developing Big Data applications on Hadoop. It offers a computation engine, systems integration framework, data processing and scheduling capabilities.