Data analysts help businesses make better, more informed decisions by not only collecting and investigating data, but also translating the relevant information into useful observations for their customers, which can include technical staff, business teams, or leadership. In many organizations, data analyst and data scientist roles share similarities, but data analysts focus on speedily interpreting […]
What Is a Data Architect?
A data architect provides clear specifications, models, and definitions, translating a business’ Data Strategy into a Data Architecture and implementing this structure to align with an organization’s Data Governance. An architect is one who designs and advises on the construction of something. Data architects take an organization’s raw data and data assets and builds a […]
What Is a Data Catalog? Types, Benefits, Uses
A data catalog inventories and makes critical datasets available through metadata management. This platform informs businesspeople about what dataset assets exist and are related, where to find them, when they appeared, who created them, and how to access them, among other insights. As centralized repositories, data catalogs aim to be relevant to users across an organization, […]
What Is a Data Container?
A data container is a transportation solution for a database required to run from one computer system to another. A data container is a data structure that “stores and organizes virtual objects (a virtual object is a self-contained entity that consists of both data and procedures to manipulate the data).” This is similar to the packaging of a […]
What Is a Data Democracy?
A data democracy describes a methodological framework of values and actions that benefit and minimize any harm to the public or the typical user. Organizations like Data for Democracy, initiated by Bloomberg and BrightHive, and projects like Data for Democracy, established by the University of Washington to help Myanmar transition to a data democracy, are spearheading […]
What Is a Data Dictionary? Definition and Benefits
A data dictionary describes data in business terms, including information about the data. It includes elements like data types, structure details, and security restrictions. Unlike business glossaries, which focus on data across the organization, data dictionaries support data architectures – the technical infrastructures that connect a Business Strategy and Data Strategy with technical execution. This support references high-quality metadata that describes data platform attributes […]
What Is a Data Engineer?
Data engineers build Data Architecture through infrastructures and foundations. A data engineer is tasked with designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic frameworks to data warehouses. Responsibilities also include configuring, managing, and scaling data pipelines. Data engineers: Have a programming background (e.g. Java, Scala or Python) Emphasize distributed […]
What Is a Data Fabric?
A Data Fabric: “Is a distributed Data Management platform whose objective is to combine various types of data storage, access, preparation, analytics, and security tools in a fully compliant manner to support seamless Data Management.” This concept has gained traction as technologies, such as the Internet of Things, need to have a consistent way of […]
What Is a Data Governance Framework?
A Data Governance framework refers to the collection of rules, processes, roles, and tools organizations can use to achieve successful Data Governance. Implemented correctly, Data Governance directly correlates to an organization’s ability to manage its data while maintaining compliance standards and accessibility within the enterprise. With the vast amount of data generated each day, businesses must ensure […]
What Is a Data Lake?
A data lake is an environment where a vast amount of data, of various types and structures, can be ingested, stored, assessed, and analyzed. Data lake technologies can scale to massive volumes of data, and combining datasets is easy with data stored in a relatively raw form. A data lake architecture can centralize data over distributed storage, providing a scalable, […]