Nhat's repositories
serverless
Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions & more! –
airflow-maintenance-dags
A series of DAGs/Workflows to help maintain the operation of Airflow
airflow-scheduler-failover-controller
A process that runs in unison with Apache Airflow to control the Scheduler process to ensure High Availability
api-guidelines
Microsoft REST API Guidelines
aws-cloudformation-examples
aws-cloudformation-examples
cloud-data-quality
Data Quality Engine for BigQuery
create-react-app
Create React apps with no build configuration.
dolphinscheduler
Apache DolphinScheduler is a distributed and extensible workflow scheduler platform with powerful DAG visual interfaces, dedicated to solving complex job dependencies in the data pipeline and providing various types of jobs available `out of the box`.
every-programmer-should-know
A collection of (mostly) technical things every software developer should know
full-datalake
How to architect fully datalake in AWS: Datalake, EMR, Zeppelin, Airflow, S3, Lambda and API gateway
inlong
Apache InLong - a one-stop integration framework for massive data
linkis
Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.
playframework
Play Framework
PyFunctional
Python library for creating data pipelines with chain functional programming
python-goose
Some improvements from https://github.com/grangier/python-goose to get better results
scalacaster
Purely Functional Algorithms and Data Structures in Scala
spark-tips
Some tips and examples in using spark
streamx
Make Flink|Spark easier!!! The original intention of StreamX is to make the development of Flink easier. StreamX focuses on the management of development phases and tasks. Our ultimate goal is to build a one-stop big data solution integrating stream processing, batch processing, data warehouse and data laker.
study-path
An organized learning path on Clean Code, Test-Driven Development, Legacy Code, Refactoring, Domain-Driven Design and Microservice Architecture