Data Science Tutorial

Data Science Technical Metadata Data is strategic in the digital age. Data helps businesses, governments, and researchers innovate, automate, and make decisions. However, understanding and...

Data Science Provenance Metadata Introduction Data integrity, authenticity, and reproducibility matter in data research. Documenting data origins, modifications, and lineage with provenance metadata builds confidence and...

Statistical Metadata in Data Science Introduction Data science data is rising rapidly in volume and complexity. To fully examine this vast ocean of information, you must...

Data Science Administrative Metadata Data science requires efficient data management. Technical metadata describes data structure and format, descriptive metadata identifies and discovers data, and administrative...

Data Science Structural Metadata Introduction Data science relies on "metadata" often. Data about data, metadata, gives raw data context and meaning, enabling its use. The organisation...

Descriptive Metadata in Data Science Data science is essential for insights, decision-making, and innovation across sectors in the age of big data and digital transformation....

Data Science Metadata Data science is fast evolving and generates and processes big data daily. Metadata, or "data about data," organizes and interprets raw data....

Master Data Management in Data Science Introduction Businesses use data to make decisions, improve operations, and gain a competitive edge in the age of big data...

Data Science Cloud-Edge Hybrid Architecture Cloud and edge computing have converged in data science, creating hybrid systems that balance data processing. This integration solves the...

Edge Data Preprocessing in Data Science Introduction In the era of the Internet of Things (IoT) and big data, the periphery of networks—sensors, mobile devices, and...