Mazlum Tosun (tosun-si)

tosun-si

Geek Repo

Company:@GroupBees

Location:Paris

Twitter:@MazlumTosun3

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Mazlum Tosun's repositories

asgarde

Asgarde allows simplifying error handling with Apache Beam Java, with less code, more concise and expressive code.

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midgard

Midgard is a wrapper on Beam Kotlin, allowing more concise and expressive code. It removes Beam boilerplate code and proposes more Functional Programming style

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dataflow-python-ci-cd

Project showing a CI CD pipeline for Dataflow Python with Flex Template and Cloud Build

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teams-league-cloud-workflows-elt

This project shows a real world use case with ELT pipeline using Cloud Storage, BigQuery and Cloud Workflows

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bigtesty

BigTesty is a framework that allows to create Integration Tests with BigQuery on a real and short lived Infrastructure.

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teams-league-airflow-elt

The goal of this article is showing a real world use case for ELT batch pipeline, with Cloud Storage, BigQuery, Apache Airflow and Cloud Composer : The Extract part is managed in Cloud Storage The Load part is managed from Cloud Storage to BigQuery The Transform part is managed by a BigQuery SQL query Everything is orchestrated by Airflow

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dataflow-java-ci-cd

Project showing a CI CD pipeline for Dataflow Java with Flex Template and Cloud Build

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sa-custom-roles-gcp-terraform

This project shows a complete use case with the least privilege principle on Google Cloud using modular Terraform, Terragrunt and Cloud Build

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teams-league-airflow-cloudrun-etl

This project shows a real world use case with ETL batch pipeline using Cloud Storage, Cloud Run Service and BigQuery orchestrated by Cloud Composer / Airflow

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teams-league-cloudrun-service-fastapi

Project showing a complete use case with a Cloud Run Service written with a Python module and multiple files. The deployment of service is done with FastApi and Uvicorn.

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world-cup-qatar-team-stats-kotlin-midgard

This application shows a full Apache Beam pipeline with Kotlin and Midgard library. The use case works on the last Qatar FIFA world cup data and calculate players statistics per team. This application will be presented at Beam Summit 2023 in New York

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datasets-tables-bq-multi-modules-terraform

This project how to create BigQuery Datasets and tables with Terraform and elegant Json configuration. This example use two Terraform modules to create datasets and tables. The deployment of IAC part is done with Cloud Build.

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teams-league-cloud-workflows-etl-dataflow

This project shows a real world use case with ETL pipeline using Cloud Storage, Dataflow, BigQuery and Cloud Workflows

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teams-league-spark-scala-dataproc-serverless

This project shows a complete, concrete and a real world use case with a Spark Scala job run with Dataproc Serverless on Google Cloud.

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airflow-composer-error-handling

This project shows how to apply error handling in Airflow DAGs and Cloud Composer in Google Cloud. Instead of repeat a technical code of error handling in each DAG, the principle is to use a callback and a failure interceptor.

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datasets-tables-bq-pulumi

This project shows how to create BigQuery Datasets with tables using Pulumi and elegant/scalable Json configuration. This use cas was previously created with Terraform and the goal is to rewrite it with Pulumi and the Python SDK.

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teams-league-java-dlq-asgarde-beam-summit

Project presented at Beam Summit 2022 that shows a complete use case with a Dead Letter Queue on errors with Beam Java and Asgarde library.

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tosun-si

TOSUN SI repository

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world-cup-qatar-event-driven-serverless-archi

This project show a complete and real world use case with Event Driven and Serverless architecture on Google Cloud

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world-cup-qatar-event-driven-serverless-archi-workflows

Project showing a use case with a full Event Driven and Serverless Architecture with Cloud Functions, Cloud Run services and Cloud Workflows

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bigtesty-example

This project shows examples to launch BigQuery integration tests with the BigTesty framework

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bq-python-client-adc-keyless

This project shows how to launch a Python script using a Google Cloud Python client, without a SA token key and enabling keyless approach with Application Default Credentials. The example is shown from IntelliJ Idea.

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bq-python-client-error-handling

Project simulates errors with the Python BigQuery client. Natively, without error handling, the errors are not clear. With error handling, we can access to the errors collections and have more details on the errors. We can debug and understand more easily the errors in BigQuery.

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datasets-tables-workspace-terraform

Project showing the use of Terraform Workspaces with a complete use case on Google Cloud. Workspaces allow to isolate an infra with its own state on the same GCP project. For example, it can be interesting to have a workspace per developer for testing purpose and allowing each of them to test its infra in an isolated environment.

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event-arc-trigger-function

This project shows a complete use case with an event driven Cloud Function written in Python and triggered with Event Arc

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fp-rust

This repo contains Functional Programming codes conception with Rust

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talks-abstracts-mazlum-tosun

This repo contains abstracts for my talks proposed in conferences in EN and FR

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teams-league-airflow-spark-scala-etl

This project shows a real world use case with ETL batch pipeline using Cloud Storage, Scala Spark with Dataproc Serverless and BigQuery orchestrated by Cloud Composer / Airflow

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teams-league-cloudrun-rust

This project shows a complete Rust program with a real world use case, deployed in Cloud Run

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teams-league-kotlin-dlq-asgarde-beam-summit

Project presented at Beam Summit 2022 that shows a complete use case with a Dead Letter Queue on errors with Beam Kotlin and Asgarde library.

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