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#Relational Tables

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Relational model organizes data into one or more tables (or "relations") of columns and rows, with a unique key identifying each row. Rows are also called records or tuples.

Learn more on relational data model.

InterSystems Data Platform (IDP) supports relational tables as part of the multi-model storage concept. IDP provides SQL and API access to relational tables.

Documentation.

Hello IRIS Community,

InterSystems Certification is developing a certification exam for InterSystems IRIS SQL specialists, and if you match the exam candidate description given below, we would like you to beta test the exam. The exam will be available for beta testing on June 9 - 12, 2024 at InterSystems Global Summit 2024, but only for Summit registrants (visit this page to learn more about Certification at GS24). Beta testing will open for all other interested beta testers on June 24, 2024. However, interested beta testers should sign up now by emailing certification@intersystems.com (please let us know if you will be beta testing at Global Summit or in our online proctored environment). The beta testing must be completed by August 2, 2024.

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Hi Community,

I am attempting to create a new table by executing a SELECT statement that involves joining multiple tables. However, I encountered an error during execution: '( expected, AS found^Combined AS.' I would also like to create a cube based on this SQL table. However, during the cube creation process, I am prompted to specify a source class, and I'm unsure which class to use as it requires an existing class. Could you please help me identify the issue with the table creation, and provide guidance on selecting the appropriate source class for the cube creation?"

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Hi, Community!

Want to improve accuracy and data integrity in your relational databases? Learn a key strategy in this video:

Setting Up SQL Foreign Key Constraints

https://www.youtube.com/embed/-kDpp6kq7Ns?utm_source=youtube&utm_medium=social&utm_campaign=-kDpp6kq7Ns
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Here at InterSystems, we often deal with massive datasets of structured data. It’s not uncommon to see customers with tables spanning >100 fields and >1 billion rows, each table totaling hundred of GB of data. Now imagine joining two or three of these tables together, with a schema that wasn’t optimized for this specific use case. Just for fun, let’s say you have 10 years worth of EMR data from 20 different hospitals across your state, and you’ve been tasked with finding….

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