blog_posts: 88115c3ad3
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#18-16596 | 2022-07-22 13:10:01 | How to partition your geospatial data lake for analysis with Amazon Redshift | https://aws.amazon.com/blogs/publicsector/how-partition-geospatial-data-lake-analysis-amazon-redshift/ | Data lakes are becoming increasingly common in many different workloads, and geospatial is no exception. In 2021, Amazon Web Services (AWS) announced geography and geohash support on Amazon Redshift, so geospatial analysts have the capability to quickly and efficiently query geohashed vector data in Amazon Simple Storage Service (Amazon S3). In this blog post, I walk through how to use geohashing with Amazon Redshift partitioning for quick and efficient geospatial data access, analysis, and transformation in your data lake. | https://d2908q01vomqb2.cloudfront.net/9e6a55b6b4563e652a23be9d623ca5055c356940/2022/07/21/partition-geospatial-data-lake-aws-amazon-redshift-featured-image-1200x600-1.jpg | 88115c3ad3 | Jeff DeMuth, Luke Wells, Nemanja Boric | 2022-07-22 13:10:01 | 22 Jul 2022 |
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