Amazon EMR VS Git

Amazon EMR Reviews

Git Reviews

Amazon EMR mentions (10)

• 5 Best Practices For Data Integration To Boost ROI And Efficiency

  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

• What compute service i should use? Advice for a duck-tape kind of guy

  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

• Processing a large text file containing millions of records.

  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: almost 2 years ago

• How to use Spark and Pandas to prepare big data

  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

• Beginner building a Hadoop cluster

  Check out https://aws.amazon.com/emr/. Source: about 2 years ago

Git mentions (214)

• Concluding OSD700

  In that course, we learned about the basics of open source, like how to make good PRs and contribute to random open-source projects, and how to use Git effectively in the process. We participated in events like Hacktoberfest that helped us embrace the spirit of open source. - Source: dev.to / 12 days ago

• The power of the CLI with Golang and Cobra CLI

  Today we are going to see all the power that a CLI (Command line interface) can bring to development, a CLI can help us perform tasks more effectively and lightly through commands via terminal, without needing an interface. For example, git and Docker, we practically use their CLI all the time, when we execute a git commit -m "commit message" or docker ps -a we are using a CLI. I'm going to leave an article that... - Source: dev.to / 27 days ago

• Simplest Guide to DIY Your Own LLM Toy in 2024

  Git (required): Version control is essential for managing your project's codebase. I use it for managing the Folo server codebase. - Source: dev.to / about 1 month ago

• Client side Git hooks 101

  Git hooks are simple yet powerful, essentially just scripts executed when certain events like commit or push occur. Most notably, they are really useful for enforcing code and commit quality. However, there's one problem: Since the hook scripts are stored inside the .git/ directory, they cannot be committed to the repository and shared with other developers as is. Let's see what we can do about this. - Source: dev.to / about 1 month ago

• How to Create a New Project and Push to GitHub from your Local Machine

  Install Git: If you haven't already, download and install Git on your local machine. You can get it from the official Git website: https://git-scm.com/. - Source: dev.to / about 1 month ago