Google Cloud Build might be a bit more popular than Google Cloud Dataflow. We know about 15 links to it since March 2021 and only 14 links to Google Cloud Dataflow. 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.
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
This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
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
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 / about 2 years ago
Dagger seems to attempt to reinvent Tekton which is based on https://cloud.google.com/build which is a good way to do cicd, so credit to the Dagger guys for knowing what DevOps (at least if they are real DevOps) folks know. - Source: Hacker News / 6 months ago
Would like to have the integration with GCP, especially with Cloud Build (https://cloud.google.com/build)! - Source: Hacker News / about 1 year ago
a backend, computing and serving tiled heat maps. This is a Go application build via Google Cloud Build and executed via Google Cloud Run. It connects to MongoDB Atlas, hosted in same GCP region, to retrieve the features to be displayed. - Source: dev.to / over 1 year ago
To build Docker container images for your serverless apps, you need to enable Cloud Build. - Source: dev.to / over 1 year ago
Super simple to integrate CI/CD with GitHub using Cloud Build (which also has a generous free tier). Source: over 1 year ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Data Fabric - Data Fabric is an architecture and set of data services that provide consistent capabilities across a choice of endpoints spanning on-premises and multiple cloud environments.
Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.
AWS CodePipeline - Continuous delivery service for fast and reliable application updates
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
Kubernetes - Kubernetes is an open source orchestration system for Docker containers