Notice
Recent Posts
Recent Comments
Link
일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | ||||
4 | 5 | 6 | 7 | 8 | 9 | 10 |
11 | 12 | 13 | 14 | 15 | 16 | 17 |
18 | 19 | 20 | 21 | 22 | 23 | 24 |
25 | 26 | 27 | 28 | 29 | 30 | 31 |
Tags
- 빅데이터
- storage
- hadoop
- java
- linux
- 설치
- sort
- 리눅스
- 자료구조
- 도커
- docker
- 스프링
- recursive
- 하둡
- algorithm
- Data Structure
- 재귀
- data
- 알고리즘
- big data
- 스토리지
- Spring
- AWS
- 아마존
- 자바
- Amazon
- rhcsa
- redhat
- Redshift
- 레드햇
Archives
- Today
- Total
Developer MJ
[AWS] Data Store 특징 본문
Amazon S3
- Designed to make web-scale computing easier for developers.
- Enables you to store and retrieve any amount of data, any time , from anywhere on the web
- Is highly scalable, reliable, fast, secure and durable storage
- Why Choose S3?
- Enables you to transfer and store files as object
- Enables hosting of static web sites
- Offers a range of storage classes with configurable lifecycle policies
- Supports multipart uploads, versioning, encryption, and event notifications
Amazon Glacier
- Is optimized for rarely accessed data
- Is secure, durable storage for data archiving and backup
- Supports unlimited amount of extremely low-cost data storage
- Why Choose Glacier?
- Supports automatic server-side encryption of data
- Integrates with Amazon S3 to automatically archive data and restore data to S3 when needed
Amazon DynamoDB
- Is a fast, highly scalable NoSQL database service
- Is a fully managed service
- Why Choose DynamoDB?
- does not have a schema
- Supports both document and key-value store models
- Supports event-driven programming
- Enables you to start a small scale and easily increase throughput as the amount of data increases
- Integrates with other AWS services to help monitor performance
Amazon ElastiCache
- Is a fast, managed, in-memory cache.
- Enables you to easily create and scale a cache cluster
- Automatically detects and replaces failed cache nodes
- Why Choose ElastiCache?
- Mitigates risk of overloaded databases slowing down your application
- Improves performance => store and retrieve frequently accessed data from in-memory cache
- Supports Memcached and Redis caching engines
Amazon Relational Database Service
- Enables you to set up, operate, and scale a relational database in the cloud
- Offers Amazon Aurora, Oracle, MS SQL, PostgreSQL, MySQL, and MariaDB database engines
- Automatically patches your database software and creates backups
- Why RDS?
- Use the same code and tools that you are familiar with without the administrative burden
Amazon Redshift
- Is a fast, fully managed, petabyte-scale data warehouse
- Enables you to easily and cost-effctively analyze all your data by using your existing business intelligence tools
- Why Choose Redshift?
- Uses columnar storage technology to enable fast query performance, parallel processing capabilities, and improved I/O performance
- Provides custom JDBC and ODBC drivers to enable you to use familiar SQL client tools
'AWS' 카테고리의 다른 글
[AWS] 시스템 운영 - 도구 및 자동화 (0) | 2019.01.24 |
---|---|
[AWS] 시스템 운영 - AWS 서비스 이해 (0) | 2019.01.24 |
[AWS] AWS 인프라 - Basic (0) | 2017.09.29 |
[AWS] AWS 소개 (0) | 2017.09.29 |
[AWS] 마이크로 서비스 아키텍쳐 구현방안 (0) | 2017.09.24 |