Smart Data Collective

FEBRUARY 23, 2022

As the demand for the data solutions increased, cloud companies like AWS also jumped in and began providing managed data lake solutions with AWS Athena and S3. In this article, we will discuss shortcomings of indexing in Athena and S3 and how we can deal with them. AWS Athena and S3. AWS Athena and S3 are separate services.

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AWS Machine Learning Blog

SEPTEMBER 13, 2023

We verify the data and extract specific formatted data tables using Amazon Athena for a QuickSight analysis using a word cloud. Convert JSON data to table format using AWS Glue In this step, you prepare the Amazon Comprehend output to be used as input into Athena. On the Athena console, choose Query editor in the navigation pane.

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Hacker News

MAY 23, 2023

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Flipboard

JUNE 26, 2023

For more information about using Athena to query an AWS Glue table, refer to Running SQL queries using Amazon Athena. Verify the new table created by the job in the Data Catalog and review the merged dataset using Athena using below Athena SQL query: SELECT * FROM "c360_workshop_db"."merged_auto_property"

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AWS Machine Learning Blog

SEPTEMBER 7, 2023

AWS Glue catalogs the data and makes it queryable using Amazon Athena. Athena transforms the measurement data into a form that a reinforcement learning algorithm can ingest and then unloads it back into Amazon S3. Run this query in Amazon Athena to perform the transformation and store the JSON objects in Amazon S3.

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AWS Machine Learning Blog

MAY 9, 2023

Users can create meaningful analyses and run interactive analytics using Amazon Athena. On the Athena console, run the following query: SELECT * FROM "healthlakestore"."documentreference"; Users can build visualizations, perform ad hoc analysis, and quickly get business insights using Amazon QuickSight.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

For structured data, the agent uses the SQL Connector and SQLAlchemy to analyze databases, which includes Amazon Athena. Data exploration on stock data is done using Athena. We created the following purpose-built agent tools for our scenario: Stocks Querying Tool – To query S&P stocks data using Athena and SQLAlchemy.

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AWS Machine Learning Blog

FEBRUARY 28, 2024

The workflow also includes a final evaluation and correction loop, in case any SQL issues are identified by Amazon Athena , which is used downstream as the SQL engine. Athena also allows us to use a multitude of supported endpoints and connectors to cover a large set of data sources. The new prompt adds Athena’s response.

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Data Science 101

NOVEMBER 29, 2019

Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. Amazon is holding their annual re:Invent Conference next week, so maybe these announcements are precursors to some bigger news next week. We will have to wait and see. Announcements.

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AWS Machine Learning Blog

JUNE 5, 2023

To simplify access to Parquet files, Amazon SageMaker Canvas has added data import capabilities from over 40 data sources , including Amazon Athena , which supports Apache Parquet. Canvas provides connectors to AWS data sources such as Amazon Simple Storage Service (Amazon S3), Athena, and Amazon Redshift.

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Tableau

MARCH 3, 2021

The Data Repository is currently in limited preview for Tableau Online customers who can sign up or send us an email at athena@tableau.com to join the program. If you are a Data Vendor interested in publishing a dataset in the Data Repository, please reach out to us at athena@tableau.com. Get started with the Data Repository.

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AWS Machine Learning Blog

DECEMBER 29, 2022

Additionally, use AWS Glue , Amazon Athena , and QuickSight to visualize the sensor data contributions to the predicted failure event. After Amazon S3 stores the prediction results, we can use the AWS Glue Data Catalog with Athena and QuickSight to create reporting dashboards. On the Athena console, open the query editor.

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Machine Learning Machine Learning AWS Database 72

Tableau

MARCH 3, 2021

The Data Repository is currently in limited preview for Tableau Online customers who can sign up or send us an email at athena@tableau.com to join the program. If you are a Data Vendor interested in publishing a dataset in the Data Repository, please reach out to us at athena@tableau.com. Get started with the Data Repository.

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AWS Machine Learning Blog

APRIL 16, 2024

Solution overview With SageMaker Studio JupyterLab notebook’s SQL integration, you can now connect to popular data sources like Snowflake, Athena, Amazon Redshift, and Amazon DataZone. Create an Athena connection Athena is a fully managed SQL query service from AWS that enables analysis of data stored in Amazon S3 using standard SQL.

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Alation

SEPTEMBER 8, 2022

Amazon Athena. We’ve also built connectors to key AWS data tools including; Amazon Redshift. Amazon EMR. Amazon Simple Storage Service (Amazon S3). Amazon Relational Database Service (Amazon RDS). A Partnership Milestone.

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AWS Machine Learning Blog

JULY 6, 2023

Amazon Athena Federated Query for the SaaS platform – Federated queries enable users to query the platform from a SageMaker notebook via Amazon Athena using a custom connector that is developed by the SaaS provider. The connector is developed jointly by AWS and the SaaS provider.

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AWS Machine Learning Blog

FEBRUARY 28, 2023

Use Amazon Athena queries for the following: Extract non-sensitive structured data from Amazon HealthLake. At the end of the post, we’ll look at additional services to verify the anonymization. The high-level steps involved in the solution are as follows: Use AWS Step Functions to orchestrate the health data anonymization pipeline.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

You can import data directly through over 50 data connectors such as Amazon Simple Storage Service (Amazon S3), Amazon Athena , Amazon Redshift , Snowflake, and Salesforce. Choose Import data and select Tabular from the drop-down list. In this walkthrough, we will cover importing your data directly from Snowflake.

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AWS Machine Learning Blog

MAY 25, 2023

An AWS Glue crawler creates or updates the AWS Glue Data Catalog from the uploaded file in the S3 bucket for an Amazon Athena table. QuickSight uses the Athena table dataset to create analyses and dashboards. For this solution, we use QuickSight for the business intelligence (BI) dashboard and Athena as the data source for QuickSight.

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AWS Machine Learning Blog

MARCH 14, 2024

The SQL is run by Amazon Athena to return the relevant data. If a SQL query was invalid and resulted in an error from Athena, we developed an error correction prompt that would pass the error and incorrect SQL to the LLM and ask it to fix it.

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AWS Machine Learning Blog

APRIL 18, 2023

As soon as Amazon Monitron IoT data is available in Amazon S3, a database and table are created in Amazon Athena by using an AWS Glue crawler. You can query Amazon Monitron data via AWS Glue tables with Athena, and visualize the measurement data and ML inference with Amazon Managed Grafana.

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AWS Machine Learning Blog

APRIL 24, 2024

The device metrics are stored in an Athena DB named "iot_ops_glue_db" in a table named "iot_device_metrics". The solution is integrated with AWS services such as Lambda for running code in response to API calls, Athena for querying datasets, OpenSearch Service for searching through knowledge bases, and Amazon S3 for storage.

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IBM Journey to AI blog

DECEMBER 15, 2023

Morgan’s Athena uses Python-based open-source AI to innovate risk management. As open-source AI becomes more widely used among developers and researchers, primarily due to investments by tech giants, organizations stand to reap the rewards and gain access to transformative AI technologies.

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Google Research AI blog

AUGUST 17, 2023

Posted by Hussein Hazimeh, Research Scientist, Athena Team, and Riade Benbaki, Graduate Student at MIT Modern neural networks have achieved impressive performance across a variety of applications, such as language, mathematical reasoning , and vision.

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AWS Machine Learning Blog

MARCH 12, 2024

You can also create the Data Catalog definition using the Amazon Athena create database and create table statements. Each collaboration member stores datasets in their respective Amazon Simple Storage Service (Amazon S3) bucket and catalogs them (creates a schema with column names and data types) in the AWS Glue Data Catalog.

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Tableau

NOVEMBER 24, 2019

Tableau connects to Amazon Redshift, Amazon RDS, Amazon Athena, and Amazon EMR—with additional connectivity coming soon! With market leading integrations, Tableau is the natural choice of platform for analyzing the data stored in Amazon’s data sources.

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Tableau

NOVEMBER 24, 2019

Tableau connects to Amazon Redshift, Amazon RDS, Amazon Athena, and Amazon EMR—with additional connectivity coming soon! With market leading integrations, Tableau is the natural choice of platform for analyzing the data stored in Amazon’s data sources.

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Smart Data Collective

APRIL 29, 2020

Redshift is the product for data warehousing, and Athena provides SQL data analytics. The main services include Amazon Glacier for storage and backup over long-term periods, and Amazon S3 for storage on a temporary or immediate basis. The services from AWS can be catered to meet the needs of each business user.

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AWS Machine Learning Blog

MAY 1, 2024

This process empowers the extraction of data from Amazon Athena tables, effectively addressing inquiries related to data. Additionally, the Agent Executor function generates SQL queries that are run against the AWS Glue database through Athena. The following screenshot shows an Athena table and sample query.

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AWS Machine Learning Blog

DECEMBER 14, 2023

Load processed features for a specified date range using SQL from an Amazon Athena table, then train and deploy the job recommender model. Crawl processed data using AWS Glue After all the raw data for multiple days has been processed, we can create an Athena table from the entire dataset by using an AWS Glue crawler. path_suffix='.parquet',

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AWS Machine Learning Blog

JUNE 6, 2023

Currently, there are several ways to access features in the offline store, including running SQL queries with Amazon Athena or using Spark SQL in Apache Spark. This runs a query in Athena to retrieve the features from the offline store, and saves the results to the specified S3 path.

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Tableau

NOVEMBER 24, 2019

Tableau connects to Amazon Redshift, Amazon RDS, Amazon Athena, and Amazon EMR—with additional connectivity and offerings announced at AWS re:Invent 2021: Amazon S3 Connector: Leveraging Tableau’s Hyper in-memory data engine technology, Tableau has the ability to read Parquet or CSV files in place—without extract creation.

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AWS Machine Learning Blog

MAY 5, 2023

Blob": "Build and orchestrate ETL pipelines using Amazon Athena and AWS Step Functions Amazon Athena, AWS Step Functions, Amazon S3, AWS Glue Data Catalog " } Search with Amazon Kendra After we put all the components together, the results of an example search of “real time analytics” look like the following screenshot.

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AWS Machine Learning Blog

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance.

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AWS Machine Learning Blog

JUNE 13, 2023

By using services such as Amazon Redshift, Amazon RDS, Snowflake, Amazon Athena , and AWS Glue , it creates a scalable solution to integrate data from various sources. Solution overview A modern data architecture on AWS applies artificial intelligence and natural language processing to query multiple analytics databases.

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phData

SEPTEMBER 19, 2023

Through a combination of AWS Glue and AWS Athena, a user can scan their data lake, dynamically creating schema and tables, allowing for SQL queries directly on files stored in Amazon S3. The Snowflake Data Cloud offers a VARIANT data type that accepts unstructured and semi-structured data into a relational table that can be queried directly.

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AWS Machine Learning Blog

JANUARY 5, 2024

Visualizations and dashboards were created using Amazon QuickSight with Amazon Athena as the data source (using the Amazon S3 CSV scoring and drift data). Solution: The Wipro team enriched the drift data by connecting input data with the drift result, which enables triage from drift to monitoring and respective scoring data.

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