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O'Reilly - Software Architecture Superstream - Architecture Meets Data

Torrent: O'Reilly - Software Architecture Superstream - Architecture Meets Data
Description:

O'Reilly - Software Architecture Superstream: Architecture Meets Data



https://FreeCourseWeb.com

Duration: 3h 5m | Video: 1280x720 30fps | Audio: AAC, 48 kHz, 2ch | Size: 435 MB
Genre: eLearning | Language: English

With an eye to the future, many organizations have made the move to microservices as a means of decomposing monolithic legacy systems. But what does a distributed system mean for delivering data? Join us to discover how understanding the intersection of software architecture and data can help you achieve new levels of velocity, agility, reliability, and efficiency. If you’re looking for ways to manage data as a software architect or developer, these sessions will help you learn what’s involved so you can chart a course toward a successful solution.

About the sponsor: Hasura is a GraphQL API engine that gives you instant GraphQL APIs on all your databases, speeding up development time and making your engineering teams super productive.

What you’ll learn and how you can apply it
Understand how to use current technologies to implement systems in a more customer-centric way
Learn how to apply best practices for software to your data
Discover which software architecture issues you should consider when adopting and designing systems based on the NoSQL and distributed SQL databases
This recording of a live event is for you because…
You're a senior-level developer who wants to make the move to architect.
You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices.
You want to better understand how to solve the unique problems of integrating data into your architecture.

Downloads: 32
Category: Other/Tutorials
Size: 435.8 MB
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Added: 2022-12-09 14:03:20
Language: English
Peers: Seeders : 13 , Leechers : 3
Release name: O'Reilly - Software Architecture Superstream - Architecture Meets Data
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