Amazon S3 VS Google BigQuery

Amazon S3 Reviews

Google BigQuery Reviews

Amazon S3 mentions (172)

• Secure Pattern for Deploying WASM on S3

  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 / 3 days ago

• Event-Driven Architecture on AWS

  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 / 14 days ago

• 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

Google BigQuery mentions (35)

• Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌

  Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 8 months ago

• Modern data stack: scaling people and technology at FINN

  Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 9 months ago

• Running Transformations on BigQuery using dbt Cloud: step by step

  Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 9 months ago

• Do I need a cloud computing–based data cloud company

  You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 11 months ago

• I used ChatGPT to get an Internship

  Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 11 months ago