Amazon S3
AWS Lambda
Google Cloud Storage
Minio
Google App Engine
Amazon CloudFront
AWS Elastic Beanstalk
Amazon AWS
Panoply
Supermetrics
QuickBI
Fivetran
Airbyte
Snowflakepowe.red
Google BigQuery
Amazon Redshift
Amazon S3 (Amazon Simple Storage Service) is the storage platform by Amazon Web Services (AWS) that provides an object storage with high availability, low latency and high durability. S3 can store any type of object and can serve as storage for internet applications, backups, disaster recovery, data archives, big data sets and multimedia.
Panoply is a smart data warehouse that automates all three key aspects of the data analytics stack: data collection & transformation (ETL), database storage management, and query performance optimization. Panoply empowers anyone working with data analytics to quickly gain actionable insights on their own - without the need of IT and Engineering.
Amazon S3 PanoplyBased on our record, Amazon S3 seems to be a lot more popular than Panoply. While we know about 175 links to Amazon S3, we've tracked only 3 mentions of Panoply. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
When dealing with image processing, we can use S3 and our own transformers, but in order to simplify development, better to use some free SaaS solution. We can rely on it when dealing with a common set of problems. Every image uploaded can be dynamically transformed to any thumbnail size, file format, and quality so we are able to test different settings that best fit user expectations. All images can be... - Source: dev.to / 15 days ago
The meta-data and model artifacts from experiment tracking can contain large amounts of data, such as the training model files, data files, metrics and logs, visualizations, configuration files, checkpoints, etc. In cases where the experiment tool doesn't support data storage, an alternative option is to track the training and validation data versions per experiment. They use remote data storage systems such as S3... - Source: dev.to / 15 days ago
In this tutorial, I will walk you through building a quick static site by doing a static build using ReactJS & create-react-app, then show you how to deploy that static site on AWS using S3 buckets as well as how to cache it & add SSL certificates with CloudFront CDN & Certificate Manager. - Source: dev.to / 25 days ago
The main stars for deploying WASM on S3 are CloudFront and of course S3. Those two services will do the heavy lifting with our compiled WASM distribution. - Source: dev.to / about 1 month ago
Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers). - Source: dev.to / about 2 months ago
The service I used was Panoply. https://panoply.io/. Source: almost 2 years ago
Instead of building everything from scratch, you can try https://panoply.io/. Source: about 2 years ago
Thanks will check this out. Currently we are testing with https://panoply.io/ but it's expensive. Source: over 2 years ago
AWS Lambda - Automatic, event-driven compute service
Supermetrics - Supermetrics condenses all the major vectors of data relevant to a user's marketing campaigns and helps them make sense of it all.
Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.
QuickBI - Export data from over 300 sources to a data warehouse and analyze it with a reporting tool of your choice. Quick and easy setup.
Minio - Minio is an open-source minimal cloud storage server.
Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.