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Nov 24, 2020 · How to Create an Airflow Environment Using Amazon MWAA In the Amazon MWAA console, I click on Create environment. I give the environment a name and select the Airflow version to use. Then, I select the S3 bucket and the folder to load my DAG code. The bucket name must start with airflow-. Optionally, I can specify a plugins file and a ...
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AWS: Data warehouse = Athena 21 Airflow workerAthena S3 (data storage) S3 (destination) query export query result run query AWSAthenaOperator support query Explicit table partitioning is neededUpload the data to S3. First you need to create a bucket for this experiment. Upload the data from the following public location to your own S3 bucket. To facilitate the work of the crawler use two different prefixs (folders): one for the billing information and one for reseller.Android Apache Airflow Apache Hive Apache Kafka Apache Spark Big Data Cloudera DevOps Docker Docker-Compose ETL Excel GitHub Hortonworks Hyper-V Informatica IntelliJ Java Jenkins Machine Learning Maven Microsoft Azure MongoDB MySQL Oracle Quiz Scala Spring Boot SQL Developer SQL Server SVN Talend Teradata Tips Tutorial Ubuntu Windows
Apr 12, 2019 · Event data CSV sample Song Data in JSON. Project 2 – Cloud Data Warehousing. In this project, you’ll move to the cloud as you work with larger amounts of data. You are tasked with building an ELT pipeline that extracts Sparkify’s data from S3, Amazon’s popular storage system.
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