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amazon-cloudwatch-auto-alarms icon amazon-cloudwatch-auto-alarms

Automatically create and configure Amazon CloudWatch alarms for EC2 instances using EC2 instance tags for standard and custom CloudWatch Metrics.

amazon-rds-purpose-built-workshop icon amazon-rds-purpose-built-workshop

A tutorial for developers, DBAs and data engineers to get hands-on experience on how to migrate relational data to AWS purpose-built databases such as Amazon DynamoDB, Amazon Aurora using AWS DMS and build data processing applications on top of it.

amazon-redshift-modernize-dw icon amazon-redshift-modernize-dw

Can you set up a data warehouse and create a dashboard in under 60 minutes? In this workshop, we show you how with Amazon Redshift, a fully managed cloud data warehouse that provides first-rate performance at the lowest cost for queries across your data warehouse and data lake. Learn the steps and best practices for deploying your data warehouse in your organization. Also, learn how to query petabytes of data in your data warehouse and exabytes of data, without loading or moving, in your Amazon S3 data lake. Finally, learn how to easily migrate from traditional or on-premises data warehouses.

amazon-redshift-utils icon amazon-redshift-utils

Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment

aws-codepipeline-s3-codedeploy-linux icon aws-codepipeline-s3-codedeploy-linux

Use this sample when creating a simple pipeline in AWS CodePipeline while following the Simple Pipeline Walkthrough tutorial. http://docs.aws.amazon.com/codepipeline/latest/userguide/getting-started-w.html

aws-database-migration-samples icon aws-database-migration-samples

A set of sample database and associated items to allow customers to among other things follow along with published database migration recipes.

aws-dms-step-by-step icon aws-dms-step-by-step

The open source version of the AWS DMS docs. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.

aws-glue-data-catalog-client-for-apache-hive-metastore icon aws-glue-data-catalog-client-for-apache-hive-metastore

The AWS Glue Data Catalog is a fully managed, Apache Hive Metastore compatible, metadata repository. Customers can use the Data Catalog as a central repository to store structural and operational metadata for their data. AWS Glue provides out-of-box integration with Amazon EMR that enables customers to use the AWS Glue Data Catalog as an external Hive Metastore. This is an open-source implementation of the Apache Hive Metastore client on Amazon EMR clusters that uses the AWS Glue Data Catalog as an external Hive Metastore. It serves as a reference implementation for building a Hive Metastore-compatible client that connects to the AWS Glue Data Catalog. It may be ported to other Hive Metastore-compatible platforms such as other Hadoop and Apache Spark distributions

aws-glue-developer-guide icon aws-glue-developer-guide

The open source version of the AWS Glue docs. You can submit feedback & requests for changes by submitting issues in this repo or by making proposed changes & submitting a pull request.

aws-glue-libs icon aws-glue-libs

AWS Glue Libraries are additions and enhancements to Spark for ETL operations.

aws-ml-guide icon aws-ml-guide

[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide

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