Amazon Athena Reviews and details

Social recommendations and mentions

• Spatial Search of Amazon S3 Express One Zone Data with Amazon Athena and Visualized It in QGIS

  Prepare GIS data for use with Amazon Athena. This time, we created four types of sample data in QGIS in advance. - Source: dev.to / 4 months ago

• Enhancing AWS Athena Efficiency - Building a Python Athena Client

  If you have not heard about AWS Athena, I encourage you to take a look at this service. You can read more about it here. - Source: dev.to / 6 months ago

• Best architecture to provide real time data analytics to users?

  Probably S3 Select or Athena? https://aws.amazon.com/athena/ Both can query S3 directly. Source: about 1 year ago

• How to browse an RDS snapshot that has been exported to S3

  You can use athena to query data out of parquet files in S3. Source: about 1 year ago

• AWS Beginner's Key Terminologies

  Amazon Athena (analytics) Amazon Athena is an interactive query service that you can use to analyze data in Amazon S3 using ANSI SQL. Athena is serverless, so there's no infrastructure to manage. Athena scales automatically and is simple to use, so you can start analyzing your datasets within seconds. Https://aws.amazon.com/athena/. - Source: dev.to / over 1 year ago

• Rewriting my blog from scratch with NextJS

  Other systems either use SQL databases for this purpose, or multi-step pipelines that use different tools for storing and querying the data. I didn't want to use either solution, on the one hand, because I didn't find free solutions for low traffic, and on the other the hand because I anyway wanted to experiment a bit with DynamoDB. - Source: dev.to / over 1 year ago

• Serverless Event Driven AI as a Service

  Once it's in a Data Lake then you have different options depending on the analytics you need. For more advanced constant analytics then you could look into Amazon Kinesis Data Analytics instead of Firehose to S3, but for Ad-Hoc queries then this is where Glue and Athena come in. - Source: dev.to / over 1 year ago

• Well-Architected Review - Part II - Operational Excellence

  You will want to use metrics based on operations outcomes to gain useful insights. Now you want to do analytics on your logs and use Cloudwatch Logs Insights or store the logs in Amazon S3, which then triggers an AWS Glue crawler to create an AWS Glue Data Catalog that then can be queried using Amazon Athena using standard SQL. The results can be visualized in Amazon Quicksight. - Source: dev.to / over 1 year ago

• AWS Lambda storage options

  Storing data in S3 has an additional benefit, given how well it integrates with other AWS services. For instance, you can use Amazon Athena to query your S3 data, or Amazon Rekognition to analyze it. Additionally you can use AWS Glue to perform extract, transform, and loan (ETL) operations. To create ad hoc visualizations and business analysis reports, Amazon QuickSight can connect to your S3 buckets and produce... - Source: dev.to / over 1 year ago

• Show HN: Query SQLite files stored in S3

  > attempting to square-peg-round-hole something like this into AWS S3 I don't think it's like that. AWS already offers services like S3 Select[0] or Athena[1] that do something similar. > the user is merely invited to retry Another reason why I used s3fs instead of manually making requests. > Why not just use the right tool for the job? I certainly have multiple uses-cases where creating an SQLite database locally... - Source: Hacker News / over 1 year ago

• Used Cars Data Scraping - R & Github Actions & AWS

  It came up with the idea of how to combine Data Engineering with Cloud and automation. I needed to find a data source as it would be an automated pipeline, so I needed a dynamic source. At the same time, I wanted to find a site where I thought retrieving data would not be a problem and do practice with both rvest and dplyr. After I had no problems with my experiments with Carvago, I added the necessary data... - Source: dev.to / over 1 year ago

• Tracking grocery price trends on AWS - Part 2 - Analytics

  In this second part, I'm going to show you basic steps on how to run analysis on the extracted grocery data. AWS services we are going to use are AWS Athena and Amazon Quicksight. - Source: dev.to / almost 2 years ago

• Deploying a Mostly Serverless Website on GCP

  When debating the database solution for our application we were really seeking for a scalable serverless database that wouldn’t bill us for idle time. Options like AWS Athena, AWS Aurora Serverless, and Azure Cosmos DB immediately came to mind. We believed that GCP would have a comparable service, yet we could not find one. Even after consulting the GCP cloud service comparison documentation we were still unable... - Source: dev.to / over 1 year ago

• DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It

  Amazon Web Services, including Athena, Aurora, and Redshift. You may perform benchmarks or comparative tests or evaluations (each, a “Benchmark”) of the Services. If you perform or disclose, or direct or permit any third party to perform or disclose, any Benchmark of any of the Services, you (i) will include in any disclosure, and will disclose to us, all information necessary to replicate such Benchmark, and (ii)... - Source: dev.to / almost 2 years ago

• Spatial Search of Amazon S3 Data with Amazon Athena and Visualized It in QGIS

  Prepare GIS data for use with Amazon Athena. This time, we created four types of sample data in QGIS in advance. - Source: dev.to / almost 2 years ago

• Automatically Partitioning Cloudflare Logs for Athena

  Once the Cloudflare request logs are in S3, they can be queried using Athena. This blog post even provides a nice CREATE TABLE command to set up the table in Athena. - Source: dev.to / about 2 years ago

• WTF is KoopJS

  Query my datalake with AWS Athena all within Koop and Node. - Source: dev.to / over 2 years ago

• Demand Forecasting with AWS Forecast

  The following model architecture taken from AWS site allows us to build, train, and deploy a time-series forecasting model leveraging an MLOps pipeline encompassing Amazon Forecast, AWS Lambda, and AWS Step Functions. To visualize the generated forecast, we will use a combination of AWS serverless analytics services such as Amazon Athena and Amazon QuickSight. - Source: dev.to / over 2 years ago

• Understanding AWS Athena 101

  Has some prior knowledge of AWS and its services, but is new to AWS Athena. - Source: dev.to / over 2 years ago

• Query Logs the AWS WAF using Amazon Athena.

  “Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.”1. - Source: dev.to / almost 3 years ago