AWS Glue Reviews and details

Social recommendations and mentions

• Build Your Movie Recommendation System Using Amazon Personalize, MongoDB Atlas, and AWS Glue

  AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analysis. It helps bridge the gap between our MongoDB Atlas data and the services we'll use for recommendation. - Source: dev.to / about 2 months ago

• Using Snowflake data hosted in GCP with AWS Glue

  AWS Glue is a fully managed extract, transform, and load (ETL) service provided by Amazon Web Services (AWS). It is designed to make it easy for users to prepare and load their data for analysis. AWS Glue simplifies the process of building and managing ETL workflows by providing a serverless environment for running ETL jobs. - Source: dev.to / 3 months ago

• How to check for quality? Evaluate data with AWS Glue Data Quality

  It is serverless data integration service to allow you to easily scale your workloads in preparing data and moving transformed data into a target location. - Source: dev.to / 10 months ago

• Deploying a Data Warehouse with Pulumi and Amazon Redshift

  So in the next post, we'll do that: We'll take what we've done here, add a few more components with Pulumi and AWS Glue, and wire it all up with a few magical lines of Python scripting. - 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

• Keep Athena up to date with only the most recent data from partitions

  Not 100% if this is what you need, but look into integrating AWS Glue. It should be able to keep the data source that Athena uses up to date real time or close to it, from what I understand. Source: almost 2 years ago

• What's New with AWS: AWS Glue Streaming ETL now supports auto-decompression

  AWS Glue streaming ETL (Extract Transform and Load) can now detect compressed data streaming from Amazon Kinesis, Amazon Managed Streaming for Apache Kafka (Amazon MSK), and self managed Apache Kafka. It can then automatically decompresses this data without customers having to write code, saving them development hours. AWS Glue Streaming ETL jobs continuously consume data from streaming sources, cleans and... - Source: dev.to / almost 2 years ago

• Query compressed logs that are stored in S3 using AWS Athena

  Use some ETL service from AWS and push what has been processed to a Log Group: AWS Glue is the service that can be used for this purpose. So it's another option to make everything inside the cloud itself. - Source: dev.to / almost 2 years ago

• Ingestion of live data

  Also, if you're doing this for an employer, and they have some deeper pockets, there is also AWS Data Pipeline. Source: about 2 years ago

• Easy and cost effective way to sync data from RDS Postgres to Redshift

  Why aren't you looking at AWS Glue to load the data from Postgres to Redshift? It's relatively inexpensive and purpose built for such tasks. Source: about 2 years ago

• Machine Learning Best Practices for Public Sector Organizations

  AWS Glue is a fully managed ETL service that makes it simple and cost-effective to categorize, clean, enrich, and migrate data from a source system to a data store for ML. - Source: dev.to / over 2 years ago

• Any data engineers familiar with building pipelines in AWS?

  Unfortunately there's just so many options for data ingest. Any programming language could be used, and there's plenty of off-the-shelf software and SaaS solutions to do it too. For example it could be done with AWS Data Pipeline (https://aws.amazon.com/datapipeline) or maybe there's just a EC2 virual machine running some custom python code that is doing it. Source: about 3 years ago

• Data Factory

  Looks like that is a ETL system, so https://aws.amazon.com/glue/. Source: about 3 years ago