Node.js VS Google Cloud Dataflow

Node.js Reviews

Google Cloud Dataflow Reviews

Node.js mentions (787)

• Multimodal Experience with AI/ML API in NodeJS

  Make sure that NodeJS is installed on your machine. If necessary, you can find all the instructions for installing NodeJS here. - Source: dev.to / 5 days ago

• Create a Chat App With Node.js

  Node.js is an open-source JavaScript runtime environment for building backend services and command line applications. This tutorial will guide you in creating an instant Node-based chat app that runs on a JavaScript server and outside a web browser. - Source: dev.to / 5 days ago

• How to Register a Smart Contract to Mode SFS with Thirdweb

  Have Node and Yarn installed with a recent version. - Source: dev.to / 10 days ago

• What’s new in React?

  Ensure that you have Node.js installed on your computer by visiting the official Node.js website [https://nodejs.org/en] and downloading the appropriate version for your operating system. - Source: dev.to / 13 days ago

• A deep dive into progressive web apps (PWA)

  Node.js and npm: Install Node.js and npm to manage packages and dependencies for your project. - Source: dev.to / 15 days ago

Google Cloud Dataflow mentions (14)

• How do you implement CDC in your organization

  Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago

• Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!

  This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago

• How are view/listen counts rolled up on something like Spotify/YouTube?

  I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago

• Best way to export several GCP datasets to AWS?

  You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago

• Why we don’t use Spark

  It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / almost 2 years ago