23 au 25 février, 2022
En Ligne, Fuseau Horaire GMT-5
Conférence Bases de données
Bases de données
The Internet of Things is increasingly driven by sensor data, with devices taking measured actions based on everything from wind speed and direction, vital body functions, illumination intensity, and temperature.
In this session, we will showcase how to build a fully functional sample IoT monitoring application built on InfluxDB — with functions such as visualization and creating alerts from uploaded sensor data in a custom user experience.
In this session, we will showcase how to build a fully functional sample IoT monitoring application built on InfluxDB — with functions such as visualization and creating alerts from uploaded sensor data in a custom user experience.
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While many messages tell us graphs are easier to understand, writing and structuring graph queries is often different than our current skills. Join us as we dive into the structure of a graph database and understand how queries operate. We will cover tips and tricks, as well as pitfalls, to help us avoid future problems. Come to this session to see how to navigate graph data with confidence to retrieve accurate and performant results!
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When building an application on top of a relational database, it's very easy to fall into antipatterns that can cause the application to perform poorly as it scales… or when you first turn it on! The scope of this talk is talking about the most common ways in which applications abuse databases, and how to address them early in development so you are not struggling later. We'll use PostgreSQL for examples, but the information isn't exclusive to it
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Databases! Every developer comes across them in their careers. Just like me, I started my career as a PHP backend developer on a typical LAMP stack. In our organisation we did not have a MySQL DBA so I started to learn about how we could make our database as reliable as possible. I will show you ways for making your database more HA, how to make service discovery easy and seamless to the applications and I will talk about backups and monitoring!
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Embedded mobile data persistence has always been a complicated topic. For long, SQLite has been the only viable embedded database. We offer an alternative that's easier to learn, strongly typed, simpler to use, more flexible, and more in line with mobile application development architectures.
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Since MySQL 5.7 InnoDB Cluster saw the light. Back then it was not as popular because it was considered too new technology. As with any new product, there were numerous bug reports. With MySQL 8.0 the solution has matured a lot, many of the problems have been addressed and so it has became a full scale high availability solution for MySQL.
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Clickhouse is a high performance, time-series database that allows storage of massive amounts of rapidly queriable data. In this session, we'll do a brief introduction to how clickhouse works, its optimal use cases, some neat features that make a huge difference when gathering statistics, and the different ways you can interact with it from PHP.
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Tout le monde aime les beaux graphiques et les stats, même les utilisateurs de votre application. Voyons ensemble un moyen d'intégrer des analyses dans votre app, en utilisant une architecture de données et des technologies émergentes qui épousent les bonnes pratiques du développement logiciel. Vous apprendrez comment utiliser Snowflake, dbt, Looker, et plus, pour construire un pipeline de données robuste et intégrer vos analyses où vous voulez!
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Have you heard about USE Method (Utilization - Saturation - Errors), RED (Rate - Errors - Duration) or Golden Signals (Latency - Traffic - Errors - Saturations)? In this presentation, we will talk briefly about these different, but similar “focuses” and discuss how we can apply them to the data infrastructure performance analysis troubleshooting and monitoring. We will use MySQL as an example but most of the talk will apply to other databases.
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Indexes are one of the most essential components of relational databases, and one of the least well-understood by many application developers. They are critical for good database performance, but they are not a magic "go-faster" button. This talk goes over different kinds of indexes, how they help various specific types of queries, and when you shouldn't use indexes in the first place. The example database will be PostgreSQL.
Bases de données
The scalability of your application and your database is only as good as the database design you put behind it. Designing your schema, the database structures, and planning for the future need to happen early and needs to evolve over time. In today's rapid pace development cycles, the database design is often overlooked or even dismissed entirely. Databases and marketing teams tout "Schemaless Designs", database as a service, and new tech that
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