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Mongodb compass vs studio 3t
Mongodb compass vs studio 3t






mongodb compass vs studio 3t
  1. MONGODB COMPASS VS STUDIO 3T MOVIE
  2. MONGODB COMPASS VS STUDIO 3T SOFTWARE
  3. MONGODB COMPASS VS STUDIO 3T PLUS

I mean, LAMP's fine, you can do good work in LAMP. When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. MongoDB was my choice for the database as I already have a lot of experience working on it and because, despite of some bad reputation it has acquired in the last months, I still believe it is a powerful database for at least a very long list of use cases such as the one I needed for my website I believe GraphQL is a better option as it feels more natural to write apis, it improves the development velocity, by definition it fixes the over-fetching and under-fetching problem that is so common on REST apis, and on top of that, the community is getting bigger and bigger. GraphQL because I needed to improve my skills with it and because I was never comfortable with the usual REST approach. Node.js has a huge community so it will always be a safe choice in terms of libraries and finding solutions to problems you may have This is just the beginning as I am planning to add more features on the lines of sharing and discoveryįor the #BackEnd I decided to use Node.js, GraphQL and MongoDB:

MONGODB COMPASS VS STUDIO 3T MOVIE

It is a minimalist online movie catalog for you to save the movies you want to see and for rating the movies you already saw. I just finished the very first version of my new hobby project: #MovieGeeks.

mongodb compass vs studio 3t

"Taking a Look at MongoDB Views." Database Zone, DZone, January 20. "$merge (aggregation)." Documentation, MongoDB 5.0. "On-Demand Materialized Views." Documentation, MongoDB 5.0. "db.createView()." Documentation, MongoDB 5.0. "Release Notes: MongoDB Compass 1.19." August 11. "Release Notes for MongoDB 3.4." November 29. "1.0 GA Released." Blog, MongoDB, August 27. "On Demand Materialized Views: A Scalable Solution for Graphs, Analysis or Machine Learning." Towards Data Science, on Medium, September 25. "The Concept of Materialized Views in MongoDB Sharded Clusters." Blog, Percona, July 16.

MONGODB COMPASS VS STUDIO 3T SOFTWARE

"A Practical Introduction to MongoDB Views." Studio 3T Knowledge Base, 3T Software Labs GmbH, April 30. "History Of MongoDB Aggregations." Section 1.2 in: Practical MongoDB Aggregations, v3.00, MongoDB, Inc. "Pseudonymization with MongoDB Views: The solution for GDPR and Game of Thrones spoilers." Blog, MongoDB, August 29. This is the order in which the database refers to documents on disk. When running find operation on a view, $natural sort is now possible. This can be used for merging with the field on: "week" or on. We project the status field thus, "status" : ). We wish to hide it for some consumers of this data. Status field can be considered as a spoiler. Status is optional and its value is either dead or alive.

MONGODB COMPASS VS STUDIO 3T PLUS

Documents of the characters collection has names plus status. Source: Beugnet 2018.Ĭonsider Game of Thrones data. Could you describe MongoDB view with an example?Īn example of db.createView().

mongodb compass vs studio 3t

For example, a view can bring together data from Inventory and Orders collection in an e-commerce application. Applications need not be burdened with the underlying complex pipelines. When analysis requires data from multiple collections, views can offer applications a simpler interface. A view stores monthly averages, which can then be more easily queried for driest and wettest months. A specific example is a collection that contains daily rainfall. A view stores these aggregates and keeps them updated as new data arrives. In many cases, they require only aggregates: counts, min/max values, averages, etc. In IoT, applications may not require every single measurement provided by the sensors. Applications have access only to the view, not the underlying collection. An alternative to exclusion, is to pseudonymize fields, which is necessary for regulatory compliance such as for GDPR. When exposing this data to applications, personal and private information can be excluded in a view. Source: Beugnet 2018.Īn organization's employee data can have sensitive information. Views used to mask or exclude fields for some users/applications.








Mongodb compass vs studio 3t