From 26e6de1393cf7130b3b076cbf25665eae56ba2cd Mon Sep 17 00:00:00 2001 From: Mia von Steinkirch Date: Tue, 29 Oct 2019 20:32:33 -0700 Subject: [PATCH] =?UTF-8?q?=F0=9F=8F=84=F0=9F=8F=BD=E2=80=8D=E2=99=82?= =?UTF-8?q?=EF=B8=8FUpdate=20README.md?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 77e300a..b7414a0 100644 --- a/README.md +++ b/README.md @@ -17,16 +17,25 @@ Three conceptual steps are how most data pipelines are designed and structured: ## Tools & Code Samples * [Data science resources](https://github.com/davidyakobovitch/data_science_resources). +* [AWS Data pipeline samples](https://github.com/aws-samples/data-pipeline-samples/tree/master/samples). + +#### Airflow + * [Incubator Airflow data pipelining](https://github.com/apache/incubator-airflow) * [Awesome Airflow Resources](https://github.com/jghoman/awesome-apache-airflow). * [Airflow in Kubernetes](https://github.com/rolanddb/airflow-on-kubernetes). -* [Lorte data pipelining](https://github.com/instacart/lore). * [Astronomer: Airflow as a Service](https://github.com/astronomer/astronomer). -* [AWS Data pipeline samples](https://github.com/aws-samples/data-pipeline-samples/tree/master/samples). + +#### Lorte + +* [Lorte data pipelining](https://github.com/instacart/lore). ## MOOCs +#### General Pipelines * [Coursera's Big Data Pipeline course](https://www.coursera.org/lecture/big-data-integration-processing/big-data-processing-pipelines-c4Wyd). + +#### Airflow * [Udemy's Airflow for Beginners](https://www.udemy.com/airflow-basic-for-beginners/).