Analytics - AWS Prescriptive Guidance (original) (raw)

Topics

• Analyze Amazon Redshift data in Microsoft SQL Server Analysis Services
• Analyze and visualize nested JSON data with Amazon Athena and Amazon Quick Sight
• Automate data ingestion from AWS Data Exchange into Amazon S3
• Automate encryption enforcement in AWS Glue using an AWS CloudFormation template
• Build a data pipeline to ingest, transform, and analyze Google Analytics data using the AWS DataOps Development Kit
• Build a video processing pipeline by using Amazon Kinesis Video Streams and AWS Fargate
• Build an ETL service pipeline to load data incrementally from Amazon S3 to Amazon Redshift using AWS Glue
• Build an enterprise data mesh with Amazon DataZone, AWS CDK, and AWS CloudFormation
• Calculate value at risk (VaR) by using AWS services
• Configure cross-account access to a shared AWS Glue Data Catalog using Amazon Athena
• Convert the Teradata NORMALIZE temporal feature to Amazon Redshift SQL
• Convert the Teradata RESET WHEN feature to Amazon Redshift SQL
• Deploy and manage a serverless data lake on the AWS Cloud by using infrastructure as code
• 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
• Cost-effectively ingest IoT data directly into Amazon S3 using AWS IoT Greengrass
• 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 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
• Query Amazon DynamoDB tables with SQL by using Amazon Athena
• Access, query, and join Amazon DynamoDB tables using Athena
• 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 Quick Sight
• More patterns

More patterns

Analyze Amazon Redshift data in Microsoft SQL Server Analysis Services

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