Airflow etl redshift1/12/2024 Multiple clusters can concurrently query the same dataset in Amazon S3 without the need to make copies of the data for each cluster. Much of the processing occurs in the Redshift Spectrum layer, and most of the data remains in Amazon S3. Redshift Spectrum queries employ massive parallelism to run very fast against large datasets. With Redshift Spectrum, you can efficiently query and retrieve structured and semi-structured data from files in Amazon S3 without having to load the data into Amazon Redshift tables. Therefore, Redshift Spectrum queries use much less of your cluster’s processing capacity than other queries. Redshift Spectrum pushes many compute-intensive tasks, such as predicate filtering and aggregation, down to the Redshift Spectrum layer. Redshift Spectrum runs on a massive compute fleet independent of your Amazon Redshift cluster. For more information, see Amazon Redshift Spectrum overview and Amazon Redshift Spectrum Extends Data Warehousing Out to Exabytes-No Loading Required. With Redshift Spectrum, you can query open file formats such as Apache Parquet, ORC, JSON, Avro, and CSV. Redshift Spectrum allows you to query open format data directly in the S3 data lake without having to load the data or duplicate your infrastructure. It allows you to run complex analytic queries against terabytes to petabytes of structured and semi-structured data, using sophisticated query optimization, columnar storage on high-performance storage, and massively parallel query execution. Amazon Redshift Spectrum overviewĪmazon Redshift is a fast, petabyte-scale cloud data warehouse delivering the best price-performance. In this post, we share how WeatherBug reduced their extract, transform, and load (ETL) latency using Amazon Redshift Spectrum. They use an Amazon Simple Storage Service (Amazon S3) data lake to store clickstream data and use Amazon Redshift as their cloud data warehouse platform. The WeatherBug Data Engineering team has built a modern analytics platform to serve multiple use cases, including weather forecasting and location-based advertising, that is completely built on AWS. WeatherBug consists of a mobile app reporting live and forecast data on hyperlocal weather to consumer users. WeatherBug is a brand owned by GroundTruth, based in New York City, that provides location-based advertising solutions to businesses. This post is co-written with data engineers, Anton Morozov and James Phillips, from Weatherbug.
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