An API (Application Programming Interface) is a software interface that relays information between two different software applications.
Read More >Big data refers to extremely large, overwhelming volumes of data that are too massive to be organized and analyzed using traditional methods.
Read More >Big data analytics applies advanced analytic methods and tools to exceptionally large data sets to uncover patterns, correlations, and other insights.
Read More >Big data automation refers to technologies that automate the processes and tasks associated with gathering, maintaining, and analyzing big data.
Read More >Big data security is the process of securing vast quantities of data through advanced methods and expanded security capabilities.
Read More >Business intelligence (BI) utilizes software and technology to help companies improve decision-making through actionable data.
Read More >Change data capture (CDC) tracks changes in a source dataset and automatically transfers those changes to a target dataset.
Read More >Cloud computing is a technology that enables users to store and access data through the internet or remote data centers instead of hosting the data on on-premise hardware.
Read More >Cloud data migration is the process of moving data, elements, and applications to a cloud environment or server that is off-premise.
Read More >Cloud integration is a form of technology that integrates and combines cloud-based systems into a unified whole.
Read More >Columnar databases are database management systems (DBMS) that store data in columns instead of rows.
Read More >Critical data is information that an organization or company decides is necessary for successful operations.
Read More >Data access is the authorized permission and ability to collect, inspect, adjust, copy, and transfer data from IT systems.
Read More >Data aggregation is the general process where data or information is collected and then summarized in a simplified form.
Read More >Data analytics is the process of investigating, cleaning, transforming, and modeling data to uncover useful insights and inform decision-making.
Read More >Data architecture is the IT structure used to maintain a company’s data resources and manage their data assets.
Read More >Data blending combines different sets of data, from multiple sources, into a new, single data set.
Read More >Data cleansing is the process of adjusting or removing data that is improperly formatted, irrelevant, incomplete, or otherwise incorrect.
Read More >A data engineer builds, deploys, and maintains the organization’s data infrastructure.
Read More >Data governance is the collection of methods, regulations, roles, tools, and systems that ensure an organization's data is properly utilized.
Read More >Data harmonization merges data from different sources into a unified view that can be utilized in multiple ways, by multiple people.
Read More >Learn about data integration, a process that allows you to combine data from multiple sources into a single system.
Read More >A data lake is a centralized location for storage that allows an organization to keep any amount or size of structured or unstructured data.
Read More >Data migration is the process of moving data from one system to another.
Read More >In essence, the term refers to the process of harvesting big data from a variety of data-storing locations for the purpose of combining and organizing it
Read More >Data transformation refers to the process of altering the structure, the format, and the original value of data
Read More >Extract, Load, Transform "ELT" is a modern variant of traditional "ETL", where extracted data is loaded into a target database in its original raw format before any data transformation takes place.
Read More >"ETL" is a common computing procedure, which stands for "Extract, Transform, and Load." "ETL" is used when you have multiple data sources that you want to bring into a centralized database for querying/analysis.
Read More >In reverse ETL, data is extracted from the data warehouse, transformed inside the warehouse to meet the data formatting requirements of the third party system, and then loaded into the third party system for action taking.
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