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1. Database Services
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2. AWS Database
 RDS: Relational Database Services consisting of many DB’s( Oracle,
posgresql, MySQL and so on) in the cloud. Managed Relational DB
services Important topic.
 DynamoDB: Managed Nosql DB in AWS. Non RDS.
 ElastiCache: In-memory cache to help the DB. Cache the data in Cloud to
improve DB performance and to reduce DB load.
 RedShift: Fast, simple, cost effective data warehousing solution from AWS.
 DMS: Help migrating your databases to AWS easily and inexpensively with
zero downtime.
 Amazon Cloud Directory: To build flexible cloud-native directories for
organizing hierarchies of data along multiple dimensions.
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3. RDS-Relational Database
 A relational database is a collection of data items with pre-defined
relationships between them. These data items are organized as a set
tables of columns and rows. Each row in the table represents a collection
of related values of a one object or entity. Tables are used to hold
information about the objects to be represented in the database. Each
column in a table holds a certain kind of data and a field stores the actual
value of an attribute. The row in each table could be identified with a
unique key identifying and row among multiple tables can be made
related using foreign keys. This data can be accessed in many different
ways without reorganizing the database tables themselves.
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4. Relational Database Engines on
Amazon RDS
1. Amazon Aurora
2. Oracle
3. Microsoft SQL Server
4. MySQL
5. PostgreSQL
6. MariaDB
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5. Amazon Aurora
 Amazon Aurora is a MySQL-compatible relational database engine that
combines the speed and availability of high-end commercial databases
with the simplicity and cost-effectiveness of open source databases.
Amazon Aurora provides up to five times better performance than MySQL
with the security, availability, and reliability of a commercial database at
one tenth the cost
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6. Oracle DB
 Amazon RDS allows you deploy multiple editions of Oracle Database in
minutes with cost-efficient and re-sizable hardware capacity. You can
bring existing Oracle licenses or pay for license usage by the hour. RDS
frees you up to focus on application development by managing complex
database administration tasks including provisioning, backups, patching,
monitoring, and hardware scaling.
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7. Microsoft SQL Server
 Amazon RDS for SQL Server makes it easy to set up, operate, and scale
SQL Server in the cloud. You can deploy multiple editions of SQL Server
including Express, Web, Standard and Enterprise. Since Amazon RDS for
SQL Server provides you direct access to the native capabilities of the SQL
Server, your applications and tools should work without any changes.
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8. MySQL
 MySQL is an open-source relational database management system
(RDBMS) used by a very large number of web based applications. Amazon
RDS for MySQL gives you access to the capabilities of a familiar MySQL
database engine. This means that the code, applications, and tools you
already use today with your existing databases can be used with Amazon
RDS without any changes.
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9. PostgreSQL
 PostgreSQL is a powerful, enterprise class open source object-relational
database system with an emphasis on extensibility and standards-
compliance. PostgreSQL boasts many sophisticated features and runs
stored procedures in more than a dozen programming languages,
including Java, Perl, Python, Ruby, Tcl, C/C++, and its own PL/pgSQL,
which is similar to Oracle's PL/SQL.
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10. MariaDB
 MariaDB is a MySQL compatible database engine which is a fork of
MySQL, and is being developed by the original developers of MySQL.
Amazon RDS makes it easy to set up, operate, and scale MariaDB
deployments in the cloud. With Amazon RDS, you can deploy scalable
MariaDB databases in minutes with cost-efficient and resizable hardware
capacity.
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11. Non Relational Database
 A non-relational database is any database that does not follow the relational
model provided by traditional relational database management systems. This
category of databases, also referred to as NoSQL databases, has seen steady
adoption growth in recent years with the rise of Big Data applications.
 NoSQL and Not Only SQL describe an approach to database design that
implements a key-value store, document store, column store or graph format
for data. It is an alternative to the Structured Query Language (SQL) database
prevalent beginning in the 1980s. NoSQL contrasts to databases that adhere to
SQL's relational methods, where data are placed in tables and data schema
are carefully designed before the database is built. NoSQL databases
especially target large sets of distributed data.
 DB has Collection, Documents and key value pairs
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12.  NoSQL is a term used to describe high-performance, non-relational
databases. NoSQL databases utilize a variety of data models, including
document, graph, key-value, and columnar. NoSQL databases are widely
recognized for ease of development, scalable performance, high
availability, and resilience. Below are several resources to help you get
started using NoSQL databases.
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13. DynamoDB
 Amazon DynamoDB is a fast and flexible NoSQL database service for all
applications that need consistent, single-digit millisecond latency at any
scale. It is a fully managed cloud database and supports both document
and key-value store models. Its flexible data model and reliable
performance make it a great fit for mobile, web, gaming, ad tech, IoT,
and many other applications.
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14. Thank You
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