Based on our record, Google Cloud Build should be more popular than Amazon EMR. It has been mentiond 15 times since March 2021. 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.
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
Check out https://aws.amazon.com/emr/. Source: 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 / 7 months ago
Would like to have the integration with GCP, especially with Cloud Build (https://cloud.google.com/build)! - Source: Hacker News / over 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.
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
AWS CodePipeline - Continuous delivery service for fast and reliable application updates