List Categories and Listings by D
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 ...
Creativjoy StaffA Data Management Specialist is responsible for ensuring that an organization's data is effectively managed and maintained to support business requirements. Their role involves working with various stakeholders in the organization to develop and implement ...
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, ...
Transform your phone into a powerful recording tool with just one tap. Record songs, sounds, instruments, podcasts, rehearsals, voice memos, ideas, lyrics, beat
Drupal is content management software. It's used to make many of the websites and applications you use every day. Drupal has great standard features, like easy
DaVinci Resolve 18 is a major release which has cloud based workflows and good remote collaborate tools. DaVinci proxy workflow, new Resolve FX, improved subtitling, AI image stabilization, and Fairlight fixed to FlexBus.
Darknet is an open-source neural network framework written in C and CUDA that is used to train and run object detection models, including the YOLO (You Only Look Once) model. Darknet runs on various platforms, including Windows, Linux, and macOS, and can ...
Data Mesh is an architecture pattern for building scalable and sustainable data systems by leveraging a domain-oriented, self-serve design. It aims to provide a standardized, decentralized and self-serve approach to manage data in large organizations, tre ...
A Data Quality Specialist is responsible for ensuring the accuracy, completeness, and reliability of an organization's data. The following are the key responsibilities of a Data Quality Specialist: Data Analysis: Analyze and evaluate the quality of ...
Data quality refers to the degree to which data meets the requirements for its intended use. High-quality data is accurate, complete, consistent, and relevant, and it has the characteristics needed to support business decisions and processes. In other wor ...
Data observability refers to the ability to monitor, understand, and control the flow of data within an organization. It is a critical aspect of data management and involves tracking data from its source to its destination, including the various processes ...
Data analytics platforms are software tools that enable businesses and organizations to collect, process, analyze, and visualize large amounts of data to gain insights and make informed decisions. These platforms typically offer a range of features and ca ...
Data Science Notebooks are interactive computing environments that allow data scientists and analysts to work with data, perform data analysis, and create visualizations, all within a single platform. They provide an integrated environment for programming ...
Data + AI Summit is an annual conference organized by Databricks that brings together data scientists, engineers, and business leaders to share their knowledge and experiences in data science, artificial intelligence (AI), and big data technologies. Th ...
A Data Analyst is responsible for collecting, analyzing, and interpreting large sets of data and turning them into actionable insights. What does the role involve? Data Analysts' role involves cleaning and organizing data, developing data models ...
Data warehousing is the process of centralizing, storing, and integrating large volumes of structured and semi-structured data in a single location, in order to enable data analysis and reporting. A data warehouse is a specialized database designed to sup ...
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 ...
A Data Engineer is responsible for building and maintaining the data infrastructure of an organization. The role of a Data Engineer involves designing, developing, and maintaining the data architecture, data pipelines, and data warehouse systems that enab ...
A Data Analytics Manager is a professional responsible for overseeing the data analytics activities within an organization. Their primary role is to manage and lead a team of data analysts to gather, process, analyze, and interpret data in order to provid ...
