Tutorials

Note

You can also find all Tutorial Notebooks on GitHub.

• 1 - Introduction
• 2 - Sessions
• 3 - Amazon S3
• 4 - Parquet Datasets
• 5 - Glue Catalog
• 6 - Amazon Athena
• 7 - Redshift, MySQL, PostgreSQL, SQL Server and Oracle
• 8 - Redshift - COPY & UNLOAD
• 9 - Redshift - Append, Overwrite and Upsert
• 10 - Parquet Crawler
• 11 - CSV Datasets
• 12 - CSV Crawler
• 13 - Merging Datasets on S3
• 14 - Schema Evolution
• 15 - EMR
• 16 - EMR & Docker
• 17 - Partition Projection
• 18 - QuickSight
• 19 - Amazon Athena Cache
• 20 - Spark Table Interoperability
• 21 - Global Configurations
• 22 - Writing Partitions Concurrently
• 23 - Flexible Partitions Filter (PUSH-DOWN)
• 24 - Athena Query Metadata
• 25 - Redshift - Loading Parquet files with Spectrum
• 26 - Amazon Timestream
• 27 - Amazon Timestream - Example 2
• 28 - Amazon DynamoDB
• 29 - S3 Select
• 30 - Data Api
• 31 - OpenSearch
• 33 - Amazon Neptune
• 34 - Distributing Calls Using Ray
• 35 - Distributing Calls on Ray Remote Cluster
• 36 - Distributing Calls on Glue Interactive sessions
• 37 - Glue Data Quality
• 38 - OpenSearch Serverless
• 39 - Athena Iceberg
• 40 - EMR Serverless
• 41 - Apache Spark on Amazon Athena