![]() How do you optimize performance in Amazon Athena?Īnswer: There are a few ways to optimize performance in Athena: Redshift is designed for large-scale data warehousing and analytics, while Athena is better suited for ad-hoc queries and interactive analysis.Ĭan you use Amazon Athena with data stored in a database other than S3?Īnswer: No, Amazon Athena can only be used to query data stored in S3. What is the difference between Amazon Athena and Amazon Redshift?Īnswer: Amazon Redshift is a fully managed data warehouse service, while Amazon Athena is a query service that allows you to analyze data stored in S3. For example, you can use Athena to query data stored in Amazon S3, and then use the results of that query to populate a dashboard in Amazon QuickSight or to train a machine learning model using Amazon SageMaker. Transforming data stored in S3 for use with other AWS services, such as Amazon Redshift or Amazon EMRĪnswer: You can access Amazon Athena through the AWS Management Console, the Athena API, or the Athena query editor, which is a web-based tool for running queries and displaying results.Ĭan you use Amazon Athena with other AWS services?Īnswer: Yes, Amazon Athena can be used in conjunction with other AWS services. Querying data stored in S3 for business intelligence and reporting purposes What are some common use cases for Amazon Athena?Īnswer: Some common use cases for Amazon Athena include: ![]() You can use the Athena query editor to estimate the cost of a query before you run it. What is the pricing model for Amazon Athena?Īnswer: Amazon Athena charges per query, with the cost being based on the amount of data scanned by the query. You can use Athena to query data stored in a variety of formats, including CSV, JSON, Apache ORC, and Parquet. ![]() Answer: Amazon Athena is a serverless, interactive query service that allows you to analyze data in Amazon S3 using SQL.Īnswer: Amazon Athena uses Presto, an open-source distributed SQL query engine, to execute SQL queries against data stored in Amazon S3. ![]()
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