Structured and Unstructured Data Handling
Structured and Unstructured Data Handling' is the ability to process, categorise, and manage various types of data in an efficient way. It involves understanding different data architectures and systems, and using cutting-edge tools and methodologies for optimizing data flow and quality. The impact includes improved decision making, optimized business processes, and innovation in product or service offerings.
Level 1: Emerging
At a foundational level you are able to recognize the differences between structured and unstructured data, and can follow clear instructions to collect, store, or retrieve basic datasets. You work under guidance to support routine data tasks, contributing to consistent and reliable data handling. Your work helps others access the information they need for simple business activities.
Level 2: Proficient
At a developing level you are able to work with both structured and unstructured data using standard tools and simple techniques, following established processes and guidance. You can organize and prepare data sets for analysis or reporting, spotting basic quality issues as you go. Your contribution helps your team maintain reliable data sources, supporting accurate decisions and business improvements.
Level 3: Advanced
At a proficient level you are able to confidently process, organize, and manage both structured and unstructured data using modern data engineering tools and techniques. You apply sound practices to handle diverse data sources, ensuring data quality and seamless integration across systems. Your work leads to reliable data pipelines that support effective analysis and improve business outcomes.
