Based on our record, AWS Glue should be more popular than AWS Data Pipeline. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.
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 / 3 days ago
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 / about 1 month ago
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 / about 2 months ago
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 / 2 months ago
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: Reddit / 5 months ago
Also, if you're doing this for an employer, and they have some deeper pockets, there is also AWS Data Pipeline. - Source: Reddit / 8 months ago
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: Reddit / over 1 year ago
Xplenty - Xplenty is the #1 SecurETL - allowing you to build low-code data pipelines on the most secure and flexible data transformation platform. No longer worry about manual data transformations. Start your free 14-day trial now.
AWS Database Migration Service - AWS Database Migration Service allows you to migrate to AWS quickly and securely. Learn more about the benefits and the key use cases.
Skyvia - Free cloud data platform for data integration, backup & management
Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.
Starfish ETL - The Starfish ETL (Extract Transform Load) Suite is a CRM integration and migration tool.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.