Q: What is Redshift Spectrum?Īnswer: Amazon Redshift Spectrum is a feature of Amazon Redshift, the fully managed data warehousing service offered by AWS. The key managed database services offered by AWS are: – Amazon RDS, Amazon Aurora, Amazon DynamoDB, Amazon DocumentDB, Amazon Neptune, Amazon ElastiCache, and Amazon Redshift. Q: What are the managed database services provided by AWS?Īnswer: AWS provides a range of managed database services that handle administrative tasks, such as backups, software patching, scaling, and infrastructure management. They can distribute data across multiple servers, allowing for seamless scalability by adding more servers to handle increased workload. NoSQL databases are designed for horizontal scalability. Scaling horizontally across multiple servers can be more complex. SQL databases generally scale vertically by increasing the resources (CPU, RAM) of the database server. They may provide eventual consistency or other consistency models. NoSQL databases often sacrifice some aspects of data integrity (like strong consistency) for increased scalability and performance. Transactions ensure data consistency and reliability. SQL databases offer strong data integrity and support ACID (Atomicity, Consistency, Isolation, Durability) properties. NoSQL databases use various query languages specific to their data models, such as MongoDB’s query language for document databases. SQL provides a standardized syntax for querying, inserting, updating, and deleting data. SQL databases utilize Structured Query Language (SQL) to manage and manipulate data. Each record in a collection can have different attributes. NoSQL databases allow for dynamic schema changes, meaning the structure of the data can evolve over time without requiring a predefined schema. Changes to the schema often require altering the database structure. SQL databases enforce a rigid schema, meaning the structure of the data is predefined and must adhere to a specific schema. They can store unstructured, semi-structured, or structured data, such as key-value pairs, documents, graphs, or time-series. NoSQL databases use a flexible and schema-less data model. They store data in tables with predefined schemas, consisting of rows and columns. SQL databases, uses a structured data model. Q: What is the difference between SQL and NoSQL Database in AWS?Īnswer: The primary difference between SQL and NoSQL databases lies in their data models and the way they handle data. For companies that need effective data management solutions, it is made to offer great performance, and scalability. Unlike conventional relational databases, DynamoDB uses a non-relational data paradigm, enabling more adaptable and scalable data storage. Q: What is DynamoDB?Īnswer: DynamoDB is a NoSQL database offered by Amazon Web Services (AWS). Q: Name the database types in RDS?Īnswer: Following are the types of databases in RDS – MYSQL, PostgreSQL, SQL server, Aurora, Oracle, and MariaDB etc. With the ability to adjust its capacity according to your needs, it ensures cost-efficiency. Amazon RDS offers a reliable and affordable relational database solution, designed to meet industry standards. A relational database refers to a specific type of database that organizes data into tables consisting of rows and columns. Amazon Aurora, MariaDB, Microsoft SQL Server, MySQL, Oracle, and PostgreSQL are just six of the database engines it supports. 1.11 Q: What is an ElastiCache cluster? Q: What is AWS RDS?Īnswer: Amazon RDS is a managed relational database service that provides organizations with a fully managed database in the cloud.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |