Database Management

Database Management Podcasts

We found 3 Database Management Podcasts
Benedikt Deicke on Ember.js, Database Optimizations, and more
[00:01:51] Jason and Chris discuss the launching of Hatchbox v2. [00:05:54] Benedikt tells us about himself and what he does.[00:06:55] We learn when Benedikt started using Ember, how long he’s been building Userlist, and if he had experience working in Rails API mode with Ember.[00:09:54] Benedikt explains what the process of scaffolding looks lik..
3 months ago
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Supper Club × Adam Cowley and Neo4j Database
In this supper club episode of Syntax, Wes and Scott talk with Adam Cowley about how Neo4j Database can help when working with data for your next app. Gatsby - Sponsor Today’s episode was sponsored by Gatsby, the fastest frontend for the headless web. Gatsby is the framework of choice for content-rich sites backed by a headless CMS as its GraphQL ..
4 months, 2 weeks ago
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Focusing in on PostgreSQL
Choosing a database is hard. They each have their pros and cons, and without much experience it is hard to determine which is the best fit for your project. In this episode Johan Brandhorst joins us to talk about Postgres. When is it a good fit? How well does it scale? What libraries exist in Go for using Postgres? Discuss on Changelog News Chang..
2 years, 4 months ago
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Database Management Podcasts

Podcasts is a fantastic medium for sharing ideas and staying on top with latest Database Management trends. Here you can discover and listen to the latest and best Database Management Podcasts that the world has to offer. All Database Management Podcasts are rated by the communtiy and new podcasts are added to the list as new podcasts episodes are released by each particular show.

Database Management

Data Management is a process that comprises all disciplines related to managing data as a resource. It applies to both physical and digital data, however, in this day and age most database management refers to later. Database management has become more vital to every day business and the world we live in today. With well managed data, business, industry and the public can derive valuable information that can be used in decision making and prediction. When managing data its important to have an overall knowledge of the underlying database and its structure. The process also involves backup and recovery, data archiving, data partitioning, data replication, planning of storage and capacity, and overall performance monitoring and optimization.