streamify
eventsim
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streamify
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Completed my first Data Engineering project with Kafka, Spark, GCP, Airflow, dbt, Terraform, Docker and more!
Here is link number 1 - Previous text "Git"
eventsim
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Completed my first Data Engineering project with Kafka, Spark, GCP, Airflow, dbt, Terraform, Docker and more!
Eventsim is a program that generates event data to replicate page requests for a fake music web site. The results look like real use data, but are totally fake. The docker image is borrowed from viirya's fork of it, as the original project has gone without maintenance for a few years now.
What are some alternatives?
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.
spark-bigquery-connector - BigQuery data source for Apache Spark: Read data from BigQuery into DataFrames, write DataFrames into BigQuery tables.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
ApacheKafka - A curated re-sources list for awesome Apache Kafka
eventsim - Event data simulator. Generates a stream of pseudo-random events from a set of users, designed to simulate web traffic.
finnhub-streaming-data-pipeline - Stream processing pipeline from Finnhub websocket using Spark, Kafka, Kubernetes and more
CPython - The Python programming language
tfl-bikes-data-pipeline - Processing TFL data for bike usage with Google Cloud Platform.
audiophile-e2e-pipeline - Pipeline that extracts data from Crinacle's Headphone and InEarMonitor databases and finalizes data for a Metabase Dashboard.