Tech & Skills: All Listings 

Data management typically refers to the process of organizing, storing, protecting, and maintaining data throughout its lifecycle. It encompasses a range of activities and techniques that are designed to ensure that data is accurate, consistent, complete, ...

Data architecture refers to the design and organization of data systems, including data models, databases, data warehouses, and other data repositories. The goal of data architecture is to ensure that data is organized, structured, and stored in a way tha ...

Data security refers to the protection of digital data from unauthorized access, theft, corruption, or other types of threats. Data security measures are put in place to ensure that data remains confidential, available, and integral throughout its lifecyc ...

Data classification is the process of organizing and categorizing data based on its sensitivity, value, or other criteria. The goal of data classification is to ensure that data is protected and handled appropriately based on its level of sensitivity or i ...

Data modeling is the process of creating a conceptual representation of data and its relationships. It is a technique used in database design and is used to define and organize data requirements needed for a specific application or system. A data model ...

Master data management (MDM) is a set of processes, technologies, and policies used to create and maintain accurate, consistent, and complete data across an organization. MDM typically focuses on the most critical data assets of an organization, such as c ...

A data attribute is a characteristic or property of a data entity, such as a person, place, thing, or event. It provides additional information about the entity and helps to distinguish it from other entities. For example, in a database of customer inf ...

Statistical data analysis is a process of examining and interpreting data using statistical methods to uncover patterns, relationships, and insights. It involves collecting, organizing, analyzing, and interpreting data to answer research questions, test h ...

Regression analysis is a statistical method used in data analytics to examine the relationship between a dependent variable and one or more independent variables. The aim of regression analysis is to find the best-fitting line or curve that describes the ...

Exploratory data analysis (EDA) is an approach to analyzing data that involves exploring and summarizing the main features of a dataset to gain a better understanding of its underlying structure and patterns. EDA is often the first step in the data analys ...

Big data refers to extremely large, complex, and diverse data sets that cannot be easily managed, processed, or analyzed using traditional data processing tools and methods. Big data is typically characterized by its high volume, velocity, and variety, of ...

Unstructured data refers to data that does not have a predefined data model or organization, making it difficult to store and analyze using traditional data management tools and techniques. Unstructured data can take many forms, including text documents, ...

Data lineage refers to the journey of data from its origin to its destination, including all the transformations and processing that it undergoes along the way. It is the process of tracking data movement and changes as it flows through various systems, a ...

Data traceability is the ability to trace the movement of data throughout its lifecycle, including its origin, transformation, and consumption. It involves recording and tracking the history of data elements, including their metadata, across systems and p ...

Data provenance refers to the record of the origin, ownership, custody, and processing history of a piece of data, as well as any changes or transformations it has undergone. It is essentially the history of the data, including information about who creat ...

Metadata is data that describes other data. It provides context and additional information about a piece of data, such as its format, location, quality, and ownership. Metadata can be used to help organize and manage large collections of data, making it e ...

Speech to text is a technology that allows computers to convert spoken language into written text. Also known as speech recognition, this technology is based on natural language processing (NLP) and machine learning algorithms. The process of speech to ...

Cognitive search is an emerging field of artificial intelligence (AI) that combines natural language processing (NLP), machine learning (ML), and other AI techniques to improve the accuracy and relevance of search results. It involves using AI to better u ...

An Anomaly Detector is a tool or system that uses statistical methods and machine learning algorithms to detect anomalies or outliers in data. Anomalies are data points that are significantly different from the majority of the data points in a dataset, an ...

Software as a Service (SaaS) is a cloud computing model where software applications are hosted by a third-party provider and made available to customers over the internet. Instead of installing software on individual computers or servers, SaaS application ...