audiophile-e2e-pipeline VS streamify

Compare audiophile-e2e-pipeline vs streamify and see what are their differences.

audiophile-e2e-pipeline

Pipeline that extracts data from Crinacle's Headphone and InEarMonitor databases and finalizes data for a Metabase Dashboard. (by ris-tlp)

streamify

A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more! (by ankurchavda)
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audiophile-e2e-pipeline streamify
3 4
170 474
- -
0.0 0.0
over 1 year ago about 2 years ago
Python Python
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

audiophile-e2e-pipeline

Posts with mentions or reviews of audiophile-e2e-pipeline. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-21.

streamify

Posts with mentions or reviews of streamify. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-21.

What are some alternatives?

When comparing audiophile-e2e-pipeline and streamify you can also consider the following projects:

data-engineering-zoomcamp - Free Data Engineering course!

eventsim - Event data simulator. Generates a stream of pseudo-random events from a set of users, designed to simulate web traffic.

ghcn-d - Data Pipeline from the Global Historical Climatology Network DataSet

terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.

Reddit-API-Pipeline

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

data_engineering_project_1 - My first attempt at a rough ETL pipeline; technologies include spark, GCS, prefect orchestration, and terraform

eventsim - Event data simulator. Generates a stream of pseudo-random events from a set of users, designed to simulate web traffic.

stream-iot - An end-to-end workflow for processing streaming data on Azure.

finnhub-streaming-data-pipeline - Stream processing pipeline from Finnhub websocket using Spark, Kafka, Kubernetes and more

StravaDataPipline - :arrows_counterclockwise: :running: EtLT of my own Strava data using the Strava API, MySQL, Python, S3, Redshift, and Airflow

tfl-bikes-data-pipeline - Processing TFL data for bike usage with Google Cloud Platform.