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Added draft text for announcement #3
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Pull Request Overview
This PR adds a draft announcement for a database modeling course, covering course description, session schedule, and registration details.
- Introduces full markdown content for the announcement
- Defines session dates and times
- Provides registration link and location information
Comments suppressed due to low confidence (2)
announcement/announcement.md:1
- The PR description mentions placeholders for ticket link and artwork; consider adding these resources to the announcement to complete the draft.
Do you want to learn how to model your data for a database? Are you interested in understanding how to design a database schema that is efficient and effective? If so, this course is for you!
announcement/announcement.md:7
- [nitpick] The phrase 'especially all the research technology professionals' is awkward; consider rephrasing to 'particularly research technology professionals' for clarity.
This course is designed for anyone who wants to learn how to model data for a database, especially all the research technology professionals. No prior experience with database design is required, but a basic understanding of programming concepts will be helpful.
announcement/announcement.md
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| Do you want to learn how to model your data for a database? Are you interested in understanding how to design a database schema that is efficient and effective? If so, this course is for you! | |||
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| In this course, you will learn the fundamentals of structured database modeling, including how to identify entities, define relationships, and create a normalized schema. You will also explore best practices for designing databases that are scalable and maintainable. | |||
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Maybe 'relational database' rather than 'structured database', so as to set clearer expectations?
announcement/announcement.md
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| This course is designed for anyone who wants to learn how to model data for a database, especially all the research technology professionals. No prior experience with database design is required, but a basic understanding of programming concepts will be helpful. | ||
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| We will provide a dataset for the course, which will be used throughout the sessions. Participants will learn how to analyze the dataset, identify key entities, and design a database schema that meets the requirements of the data. You are welcome to bring your own dataset if you prefer, but it is not required. If you choose to bring your own dataset, please ensure it is in a structured format (e.g., CSV, JSON) that can be easily imported into a database system and please send us a copy of your dataset at least one week before the course starts so we can prepare accordingly. |
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Case study and dataset
announcement/announcement.md
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| This course is designed for anyone who wants to learn how to model data for a database, especially all the research technology professionals. No prior experience with database design is required, but a basic understanding of programming concepts will be helpful. | ||
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| We will provide a dataset for the course, which will be used throughout the sessions. Participants will learn how to analyze the dataset, identify key entities, and design a database schema that meets the requirements of the data. You are welcome to bring your own dataset if you prefer, but it is not required. If you choose to bring your own dataset, please ensure it is in a structured format (e.g., CSV, JSON) that can be easily imported into a database system and please send us a copy of your dataset at least one week before the course starts so we can prepare accordingly. |
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Can we limit to CSV? The problem with JSON is that it can be very nested / object-oriented which means additional steps and tools to firstly 'flatten' the data
I do like the idea of working with JSON longer term though .. maybe a more advanced' course, and we can add MongoDB as a JSON store, for comparison?
Co-authored-by: Copilot <[email protected]>
Co-authored-by: Claire Ellul <[email protected]>
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