Bases de donnéesWeb technologies have come leaps and bounds. But are you still using the tired old database from last generation? Let's look at the methodology of microservices, compare it to bounded contexts, and look at ops tasks for micro-databases. Let's tour all the flavors of databases, understand their pros and cons, and when you would choose it. You'll leave with a roadmap for moving from data-monolyth to micro-databases.
Bases de données“I have heard about NoSQL databases, but don’t know what they are. What’s the difference between NoSQL and relational databases like SQL?” Does this sound like you? In this talk, you will learn about the current NoSQL landscape and how you as a JS developer can take advantage of NoSQL databases.
Bases de donnéesMySQL has moved to a continuous release cycle and had been adding new features since version 8.0 has been released. So it is quite easy to miss the parallel bulk loader (CSV, JSON, TSV), Multi-values indexes, improved JSON support, the ability to clone InnoDB databases for faster replication startup, changes in SSL/TLS support, JSON schema validation, 3D GIS support, check constraints, and more. So get caught up today with the lastest from MySQL
Bases de donnéesYou want your database storage to be safe, secure, and always available. MySQL Group Replication provides a fault tolerant, highly available, and elastic data groups. Groups can operate in a single-primary mode with automatic primary election, where only one server accepts updates at a time or be deployed in multi-primary mode, where all servers can accept updates. So you can scale from one to many servers without changing your application.
Bases de donnéesA common misunderstanding about Redis is that it's just a cache, or that you should only store ephemeral data there. In this talk I hope to dispel that myth by sharing some non-cache Redis recipes. I'll talk about how Redis can be used to solve problems such as distributed locking, message queues, one time tokens, and rate limiting.
Bases de donnéesEvery developer has had to learn a new technology from nothing to an end solution. Graph is different from other data storage solutions that exist today, so how can we learn about and evaluate decisions to apply this technology? Discover various possibilities for data import, loading, querying, and presenting the value to others, we show how to make decisions along the way. Go from 0 to 60 in building your next solution with a graph database!
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