stream-iot VS audiophile-e2e-pipeline

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

stream-iot

An end-to-end workflow for processing streaming data on Azure. (by fpgmaas)

audiophile-e2e-pipeline

Pipeline that extracts data from Crinacle's Headphone and InEarMonitor databases and finalizes data for a Metabase Dashboard. (by ris-tlp)
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stream-iot audiophile-e2e-pipeline
1 3
8 170
- -
7.8 0.0
9 months ago over 1 year ago
Python Python
- -
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.

stream-iot

Posts with mentions or reviews of stream-iot. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

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

airflow-chart - A Helm chart to install Apache Airflow on Kubernetes

data-engineering-zoomcamp - Free Data Engineering course!

DataEngineeringProject - Example end to end data engineering project.

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

Udacity-Data-Engineering-Projects - Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.

Reddit-API-Pipeline

streamify - A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!

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

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

pydantic - Data validation using Python type hints

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