Table of Contents
Question
A company needs a data warehouse for analytical workloads. The data warehouse must support standard SQL queries. Which AWS service meets these requirements?
A. Amazon EMR
B. Amazon Athena
C. Amazon Redshift
D. Amazon RDS
Answer
C. Amazon Redshift
Explanation
The correct answer to the question is C. Amazon Redshift.
Amazon Redshift is the AWS service that meets the requirements of a data warehouse for analytical workloads that support standard SQL queries. Let’s provide a comprehensive explanation of this service:
Amazon Redshift:
- Amazon Redshift is a fully managed data warehouse service that is designed for analytical workloads and supports standard SQL queries.
- It is optimized for high-performance analysis of large datasets, making it suitable for data warehousing and business intelligence applications.
- Amazon Redshift uses columnar storage, parallel query execution, and compression techniques to deliver fast query performance on large datasets.
- It can scale from gigabytes to petabytes of data, allowing you to store and analyze vast amounts of data.
- Amazon Redshift integrates with popular BI and data visualization tools, making it easy to connect and analyze data using familiar SQL-based queries.
- It also provides advanced features such as automatic data compression, workload management, and data encryption for enhanced security.
Now, let’s briefly explain why the other options are not the correct answers:
A. Amazon EMR:
- Amazon EMR (Elastic MapReduce) is a managed big data processing service that uses Apache Hadoop and other open-source frameworks.
- While Amazon EMR is suitable for processing and analyzing large datasets, it is not specifically designed as a data warehouse for analytical workloads with standard SQL queries.
B. Amazon Athena:
- Amazon Athena is an interactive query service that allows you to analyze data directly from Amazon S3 using standard SQL queries.
- It is a serverless service that does not require any infrastructure management.
- While Amazon Athena supports SQL queries, it is not a dedicated data warehouse service and is more suited for ad-hoc querying and analysis of data in Amazon S3.
D. Amazon RDS:
- Amazon RDS (Relational Database Service) is a managed database service that supports various relational database engines, such as MySQL, PostgreSQL, and Oracle.
- While Amazon RDS is suitable for transactional workloads and supports SQL queries, it is not specifically designed as a data warehouse for analytical workloads.
To summarize, if a company needs a data warehouse for analytical workloads that support standard SQL queries, the best AWS service to meet these requirements is Amazon Redshift. It provides a fully managed, scalable, and high-performance data warehousing solution, optimized for analyzing large datasets using SQL-based queries.
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