Analytics
Topics
- Analyze Amazon Redshift data in Microsoft SQL Server Analysis Services
- Analyze and visualize nested JSON data with Amazon Athena and Amazon QuickSight
- Automate encryption enforcement in AWS Glue using an AWS CloudFormation template
- Build an ETL service pipeline to load data incrementally from Amazon S3 to Amazon Redshift using AWS Glue
- Calculate value at risk (VaR) by using AWS services
- Convert the Teradata NORMALIZE temporal feature to Amazon Redshift SQL
- Convert the Teradata RESET WHEN feature to Amazon Redshift SQL
- Enforce tagging of Amazon EMR clusters at launch
- Ensure Amazon EMR logging to Amazon S3 is enabled at launch
- Generate test data using an AWS Glue job and Python
- Launch a Spark job in a transient EMR cluster using a Lambda function
- Migrate Apache Cassandra workloads to Amazon Keyspaces by using AWS Glue
- Migrate Oracle Business Intelligence 12c to the AWS Cloud from on-premises servers
- Migrate an on-premises Apache Kafka cluster to Amazon MSK by using MirrorMaker
- Migrate an ELK Stack to Elastic Cloud on AWS
- Migrate data to the AWS Cloud by using Starburst
- Optimize the ETL ingestion of input file size on AWS
- Orchestrate an ETL pipeline with validation, transformation, and partitioning using AWS Step Functions
- Perform advanced analytics using Amazon Redshift ML
- Access, query, and join Amazon DynamoDB tables using Athena
- Set up a minimum viable data space to share data between organizations
- Set up language-specific sorting for Amazon Redshift query results using a scalar Python UDF
- Subscribe a Lambda function to event notifications from S3 buckets in different AWS Regions
- Three AWS Glue ETL job types for converting data to Apache Parquet
- Visualize Amazon Redshift audit logs using Amazon Athena and Amazon QuickSight
- Visualize IAM credential reports for all AWS accounts using Amazon QuickSight
- More patterns
