A company needs to use standard SQL to query and combine exabytes of structured and semi-structured data across a data warehouse, operational database, and data lake.
Amazon Athena is a serverless interactive query service that enables users to analyze data in Amazon S3 using standard SQL. It is capable of querying and combining structured and semi-structured data across various data sources such as data warehouses, operational databases, and data lakes. It also scales automatically, making it ideal for querying exabytes of data.
The question is basically the definition of Amazon RedShift.
Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale.
Answer D
Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale.
https://aws.amazon.com/redshift/
"Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver the best price performance at any scale."
Reference: https://aws.amazon.com/redshift/
Answer is D, Redshift. Amazon Aurora does not support querying and combining exabytes of data across a data lake, but rather stores data in its own storage layer.
The correct answer is D. Amazon Redshift.
Amazon Redshift is a fully managed, petabyte-scale data warehouse service that allows you to use standard SQL to query and combine structured and semi-structured data across your data warehouse, operational database, and data lake.
C. Amazon Athena
"Athena is an interactive query service that allows you to conveniently analyze data stored in Amazon Simple Storage Service (S3) by using basic SQL. It’s completely serverless, meaning there’s no foundation that needs managing or set up, and it’s also fully portable. Athena can be used to analyze unstructured, semi-structured, and structured data stored in Amazon S3."
https://chartio.com/resources/tutorials/redshift-vs-athena/#:~:text=Athena%20is%20an,in%20Amazon%20S3.
Amazon Redshift is a fully managed data warehousing service that is optimized for online analytic processing (OLAP). It allows you to store and analyze large volumes of structured data using standard SQL queries. Redshift is designed to handle complex analytic queries and supports high-performance analysis of massive datasets.
Amazon DynamoDB (option A) is a NoSQL database service that is not suitable for executing standard SQL queries. It is primarily designed for fast and scalable key-value and document data storage.
Amazon Aurora (option B) is a relational database service compatible with MySQL and PostgreSQL. While it supports standard SQL queries, it is not specifically designed for querying and combining exabytes of data across different sources.
Amazon Athena (option C) is a serverless query service for analyzing data stored in Amazon S3 using standard SQL. It is ideal for ad-hoc querying of data in a data lake environment, but it may not be the most performant solution for exabytes of data due to its serverless nature.
Therefore, the correct answer is D. Amazon Redshift.
Amazon Redshift is a fully managed data warehousing service designed for analytic workloads. It supports SQL queries and can handle large-scale data, but it may not be the most suitable option for querying semi-structured data and data lakes.
Therefore, Amazon Athena is the recommended AWS service for the given requirements.
Amazon Athena is an interactive query service that enables you to analyze data in Amazon S3 using standard SQL. Athena is serverless, which means there are no infrastructure to manage or scale, and it can handle exabytes of data. Athena supports various data formats such as CSV, JSON, ORC, Avro, and Parquet. You can easily combine and query data from different sources in Amazon S3 using Athena.
Athena, as Redshift is for Datawarehouse.
Here we are combining sql, nosql, data warehouse, datalake, etc.
Athena performs sql like queries to different sources.
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This allows you to use your data to gain new insights for your business and customers.
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