Joining datasets is key to using MySQL to its full advantage. However, it can be costly. You now know how to speed up queries using indexes. External languages such as Python may also be necessary to perform some data functions.
- [Instructor] This problem turned out to be far more…complex than it initially appeared…but it ended up illustrating a lot of features…of MySQL.…Joining tables is a very powerful tool…that lets you rearrange information in interesting…and useful ways and keeps you from needing…to store redundant data in your database.…In a real production database,…almost every select query will involve…some sort of join.…I was also able to illustrate a more complex type…of slide query using Aggregation and Grouping.…These are essential tools for making…data inquiries readable.…However, they can also have a high cost…in terms of processing power…which I was able to avoid by creating indexes…in some of our tables.…
Indexing and table keys are extremely important concepts…for using MySQL in a production environment.…Even though I only touched briefly on the subject,…it's worth exploring in more depth.…Finally, I showed the value of using external tools…with my SQL.…The basic syntax I used in ecaluculate media…and Python script provides a framework…
- Strengths and weaknesses of MySQL
- Creating a database
- Joining data sets
- Integrating Python with MySQL
- Searching a database
- CRUD operations
- Performing calculations
Skill Level Appropriate for all
1. Data and MySQL in under Five Minutes
2. Create a Database
3. Join Two Datasets
4. Search a Database
Searching a database1m 51s
5. Create, Read, Update, and Delete Operations
6. Averages and Calculations
Next steps1m 1s
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