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Advanced Features with Relational Database Tables Using SQLiteStudio

In this course, you’ll increase your knowledge of and experience with relational tables as you explore alternative ways of getting data into tables. You’ll also look at some of the advanced features that can give relational tables super powers. As you learn about the new features, you’ll use SQLiteStudio to apply them to your tables. Those features will enable your tables to more efficiently manage data—while keeping your data safe and accurate. Tables are great for data storage. The concept of organizing data in rows and columns is familiar to most people. Accountants use spreadsheets to organize financial data, making it easier to budget and track expenses. Parents use lists with columns to track their family’s schedules so that everyone gets to participate in outside activities. Even the Internal Revenue Service gets in the game by using tax tables to provide tax amounts for a variety of incomes. Even a simple grocery list is tabular in nature. Each row is an item, with one column having the item's name/description, and a second column noting the quantity needed. It’s no surprise that database designers like to use tables in a relational database to organize and store data. In the Design and Create a Relational Database Table Using SQLiteStudio course you learned about tables. You created and populated a relational table using the SQLiteStudio database management system. That was a great beginning. Now it's time for the next step!

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Rhyme

Rating Not enough ratings
Length 2 weeks
Effort 45 minutes
Starts Jun 29 (last week)
Cost $9
From Rhyme, Coursera Project Network via Coursera
Instructor Judy Richardson
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science IT & Networking
Tags Data Science Data Analysis Information Technology Data Management

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Coursera

&

Rhyme

Rating Not enough ratings
Length 2 weeks
Effort 45 minutes
Starts Jun 29 (last week)
Cost $9
From Rhyme, Coursera Project Network via Coursera
Instructor Judy Richardson
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science IT & Networking
Tags Data Science Data Analysis Information Technology Data Management

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