SURVEY ON MONGODB: AN OPEN-SOURCE DOCUMENT DATABASEIAEME Publication
MongoDB is open source cross platform database. It is classified as NoSQL (Not Only SQL). It is written in C++ and it follows document oriented data model. It is database model which provides dynamic schema. It uses features like Map/Reduce, Auto-sharding and MongoDump etc. Using these features MongoDB provides high performance, where Map/Reduce is efficient data arrangement, Auto-sharding is storing data on across the different machines, Backup facilities and many more. It has collections as table and each collection can store different kinds of data. It stores data in JSON like structure. Unlike the RDBMS databases it can store unstructured data as well. It can process and handle large amount of data more efficiently than RDBMS. It is ACID system like RDBMS databases. MongoDB mainly used in such application which produces and uses vast amount of data. Like blogs or sites which produces or stores unstructured data. It can be used to in applications which stores structured and semi-structured data as well.
O documento descreve conceitos de alocação dinâmica de memória em C, incluindo o uso das funções malloc(), calloc(), realloc() e free(). Explica como alocar e libertar memória para estruturas e vetores, e como redimensionar blocos de memória alocados.
SURVEY ON MONGODB: AN OPEN-SOURCE DOCUMENT DATABASEIAEME Publication
MongoDB is open source cross platform database. It is classified as NoSQL (Not Only SQL). It is written in C++ and it follows document oriented data model. It is database model which provides dynamic schema. It uses features like Map/Reduce, Auto-sharding and MongoDump etc. Using these features MongoDB provides high performance, where Map/Reduce is efficient data arrangement, Auto-sharding is storing data on across the different machines, Backup facilities and many more. It has collections as table and each collection can store different kinds of data. It stores data in JSON like structure. Unlike the RDBMS databases it can store unstructured data as well. It can process and handle large amount of data more efficiently than RDBMS. It is ACID system like RDBMS databases. MongoDB mainly used in such application which produces and uses vast amount of data. Like blogs or sites which produces or stores unstructured data. It can be used to in applications which stores structured and semi-structured data as well.
O documento descreve conceitos de alocação dinâmica de memória em C, incluindo o uso das funções malloc(), calloc(), realloc() e free(). Explica como alocar e libertar memória para estruturas e vetores, e como redimensionar blocos de memória alocados.
Grails 3.0先取り!? Spring Boot入門ハンズオン #jggug_bootToshiaki Maki
Spring Bootのハンズオン資料です。
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Grailsの次期バージョン3.0でベースになることが予定されている、Spring界隈の新しいトレンド"Spring Boot"のハンズオンを通じて、Spring Bootのイメージを掴んでもらいたいと思います。内容は以下の通りです。
Spring Boot概要説明
Spring Bootを用いて簡単なアプリケーションを実際に作ってみる
(合計で約二時間弱)
1. The document discusses RESTful APIs and gRPC, comparing their characteristics and use cases.
2. RESTful APIs typically use HTTP and JSON to access resources via URLs while gRPC uses protocol buffers and HTTP/2 for efficient streaming and RPC.
3. gRPC is better suited for microservices and mobile apps due to its ability to handle streaming and performance, while REST is more widely used due to its simplicity and support in most languages.
Grails 3.0先取り!? Spring Boot入門ハンズオン #jggug_bootToshiaki Maki
Spring Bootのハンズオン資料です。
----
Grailsの次期バージョン3.0でベースになることが予定されている、Spring界隈の新しいトレンド"Spring Boot"のハンズオンを通じて、Spring Bootのイメージを掴んでもらいたいと思います。内容は以下の通りです。
Spring Boot概要説明
Spring Bootを用いて簡単なアプリケーションを実際に作ってみる
(合計で約二時間弱)
1. The document discusses RESTful APIs and gRPC, comparing their characteristics and use cases.
2. RESTful APIs typically use HTTP and JSON to access resources via URLs while gRPC uses protocol buffers and HTTP/2 for efficient streaming and RPC.
3. gRPC is better suited for microservices and mobile apps due to its ability to handle streaming and performance, while REST is more widely used due to its simplicity and support in most languages.
【MT東京−31】バレンタインデー1ヶ月前から始めるSwift×MT Data APIでのLT登壇資料になります。
Firebaseを使用したサンプル作成にあたり、ファイルアップロード処理の際に実装に詰まった経験やデータ設計の整理に苦労しました。
その経験からFirebaseを扱いやすくするライブラリ「Salada」を導入してサンプルアプリを作成した際の知見や実装ポイント等をまとめました。
Measures for Growth with Firebase Remote Config & Unit Testing Using RxSwiftFumiya Sakai
The document discusses using Firebase Remote Config and unit testing with RxSwift. It provides an overview of Firebase Remote Config and how it can be used to store feature flags and master data when backend development is not ready. It also discusses writing unit tests with Quick, Nimble, and SwiftyMocky to mock dependencies and generate test cases that cover A/B testing logic and various scenarios. The document emphasizes the importance of understanding context before implementation, utilizing Firebase Remote Config features, and clarifying what to test to avoid overcomplicating specifications and logic.