Using Database Constraints Wisely
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The document discusses using database constraints to improve reliability, speed, and security of a relational database. It recommends using simple constraints like not null, unique indices, and foreign keys to define the database interface. More complex constraints like polymorphic relationships can be handled by the Polymorpheus gem, which takes care of validation and uniqueness through migrations. The overall message is that properly setting up database constraints through tools like the gem can keep application logic clean while establishing a robust database structure.
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Database constraints
Database constraints include primary key, unique, foreign key, and check constraints. They restrict the contents and operations of database tables to maintain data integrity, such as ensuring rows have valid primary keys, dependent rows have valid foreign keys, and column values are within defined ranges. Constraints are defined using SQL statements when creating or altering tables and are enforced by the database for all data modifications.
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Constraints
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Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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Using Database Constraints Wisely
- 1. Using database constraints wisely Barun Singh bsingh@wegowise.com Founder & CTO
- 2. What is a database? A collection of data that you can read, write, and organize The software tools that let you do this
- 3. What do we want from a database? It should be … • Reliable • Fast • Secure • …
- 4. A relational database is not the same as a generic data store
- 5. A relational database is not the same as a generic data store
- 6. What do we want from a relational database? It should be … • Reliable • Fast • Secure • Sensible • …
- 7. Wait a minute… Is this Rails approved™ ?
- 8. The Rails way says… • You should be database agnostic • Application layer is the only really important part
- 9. The database is important
- 10. But why? Because you make mistakes.
- 11. What’s the worst that can happen? • Feature doesn’t work • Site goes down • Irrecoverable data loss
- 12. I write tests. Why bother with database constraints? I test my entire application flow through integration tests. Why write unit tests?
- 13. I write tests. Why bother with database constraints? My application requires Javascript, and I have JS validations. Why bother with model-level validations?
- 14. Your database has an interface.
- 15. How? • Simple constraints: [not null] • Unique indices • Foreign keys [foreigner gem]
- 16. It’s not always that simple
- 17. Polymorphism Imageable Employee Picture Product
- 18. Polymorphism What does this reference?
- 19. Polymorphism
- 20. Polymorpheus
- 21. A couple little snags… How can you make sure that one picture has only an employee_id or product_id but not both? (xor constraints are tough) And what if the polymorphic relationship has to be unique?
- 22. Polymorpheus The gem takes care of all of this for you through a simple migration method
- 23. Polymorpheus The gem takes care of all of this for you through a simple migration method
- 24. Polymorpheus
- 25. Polymorpheus Also provides a validation method, model level validations are still important
- 26. You can keep your application logic clean and set up your database properly