AWS Big Data Blog

Steve Phillips

Author: Steve Phillips

Steve Phillips is a senior technical account manager at AWS in the North America region. Steve has worked with games customers for eight years and currently focuses on data warehouse architectural design, data lakes, data ingestion pipelines, and cloud distributed architectures.

Build governance dashboards for Amazon SageMaker Catalog with Amazon Quick

In a previous post, we showed you how to query Amazon SageMaker Catalog metadata using SQL by using the metadata export feature. This post builds on that foundation by demonstrating how to create governance dashboards with Amazon Quick.

A box indicating Amazon Redshift in the center of the image with boxes from right to left for Amazon RDS MySQL and PostgreSQL, Amazon Aurora MySQL and PostreSQL, Amazon EMR, Amazon Glue, Amazon S3 bucket, Amazon Managed Streaming for Apache Kafka and Amazon Kinesis. Each box has an arrow pointing to Amazon Redshift. Each arrow has the following labels: Amazon RDS & Amazon Aurora: zero-ETL and federated queries; AWS Glue and Amazon EMR: spark connector; Amazon S3 bucket: COPY command; Amazon Managed Streaming for Apache Kafka and Amazon Kinesis: redshift streaming. Amazon Data Firehose has an arrow pointing to Amazon S3 bucket indicating the data flow direction.

Amazon Redshift data ingestion options

Amazon Redshift, a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. Whether your data resides in operational databases, data lakes, on-premises systems, Amazon Elastic Compute Cloud (Amazon EC2), or other AWS services, Amazon Redshift provides multiple ingestion methods to meet your specific needs. The currently […]