Apache Parquet VS Amazon S3

Apache Parquet Reviews

Amazon S3 Reviews

Apache Parquet mentions (19)

• [D] Is there other better data format for LLM to generate structured data?

  The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json. Source: 5 months ago

• Demystifying Apache Arrow

  Apache Parquet (Parquet for short), which nowadays is an industry standard to store columnar data on disk. It compress the data with high efficiency and provides fast read and write speeds. As written in the Arrow documentation, "Arrow is an ideal in-memory transport layer for data that is being read or written with Parquet files". - Source: dev.to / 12 months ago

• Parquet: more than just "Turbo CSV"

  Googling that suggests this page: https://parquet.apache.org/. Source: about 1 year ago

• Beginner question about transformation

  You should also consider distribution of data because in a company that has machine learning workflows, the same data may need to go through different workflows using different technologies and stored in something other than a data warehouse, e.g. Feature engineering in Spark and loaded/stored in binary format such as Parquet in a data lake/object store. Source: about 1 year ago

• Pandas Free Online Tutorial In Python — Learn Pandas Basics In 5 Lessons!

  This section will teach you how to read and write data to and from a variety of file types, including CSV, Excel, SQL, HTML, Parquet, JSON etc. You’ll also learn how to manipulate data from other sources, such as databases and web sites. Source: about 1 year ago

Amazon S3 mentions (170)

• Mastering File Upload Security: DoS and Antivirus

  You can find a guide on the AWS blog, detailing how to integrate Amazon S3 Malware Scanning into your web App. Amazon Simple Storage Service (Amazon S3) is a highly scalable object storage service that allows file storage. Currently, when a file is uploaded to an S3 Bucket, two scanning engines are available: Sophos and ClamAV, to detect malicious ones. Additionally, both engines can be used together for an even... - Source: dev.to / about 2 months ago

• How to Upload Files to Amazon S3 with React and AWS SDK

  Amazon S3 (Simple Storage Service) provides a robust and scalable solution for storing and managing various file types. - Source: dev.to / 2 months ago

• How to Get Preview Environments for Every Pull Request

  Preevy includes built-in support for saving profiles on AWS S3 and Google Cloud Storage. You can also store the profile on the local filesystem and copy it manually before running Preevy - we won't show this method here. - Source: dev.to / 5 months ago

• Testing Serverless Applications on AWS

  For context; the web application is built with React and TypeScript which makes calls to an AppSync API that makes use of the Lambda and DynamoDB datasources. We use Step Functions to orchestrate the flow of events for complex processing like purchasing and renewing policies, and we use S3 and SQS to process document workloads. - Source: dev.to / 6 months ago

• Programmatically reacting to S3 bucket external access exposures

  Zelkova supports multiple AWS services. For example, when we make an S3 bucket public, a red warning badge will appear at the top of the page. This warning comes from Zelkova. - Source: dev.to / 9 months ago