Growth

Data Technology

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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 ...

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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 ...

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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 ...

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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 ...

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Data integration is the process of combining data from multiple sources into a single, unified view, which can be used for analysis, decision-making, and other business purposes. Data integration involves the following steps: Data Collection: Data is c ...

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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 ...

Computer Vision
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Computer vision is a field of artificial intelligence (AI) and computer science that focuses on enabling computers to interpret and understand visual information from the world, such as images and videos. It involves the development of algorithms and mode ...

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Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines principles and techniques from statistics, computer science, d ...

AI & ML Skills

Speech to text
Cognitive search
Anomaly Detector

Data Tech & Skills

Data Management
Data Architecture
Data Security

Data Platforms & Tools

Data analytics platforms
Machine learning platforms
Machine learning toolkits