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Using the Documentation
Concepts
Basics of the Beam model
How Beam executes a pipeline
Beam programming guide
Overview
Pipelines
PCollections
Creating a PCollection
PCollection characteristics
Transforms
Applying transforms
Core Beam transforms
ParDo
GroupByKey
CoGroupByKey
Combine
Flatten
Partition
Requirements for user code
Side inputs
Additional outputs
Composite transforms
Pipeline I/O
Using I/O transforms
I/O connectors
Managed I/O
I/O connector guides
Apache Iceberg
Apache Parquet
Hadoop Input/Output Format
HCatalog IO
Google BigQuery
Snowflake
CDAP I/O
Spark Receiver I/O
SingleStoreDB I/O
Web APIs I/O
Developing new I/O connectors
Overview: Developing connectors
Developing connectors (Java)
Developing connectors (Python)
I/O Standards
Testing I/O transforms
Schemas
What is a schema
Schemas for programming language types
Schema definition
Logical types
Creating schemas
Using schemas
Data encoding and type safety
Data encoding basics
Specifying coders
Default coders and the CoderRegistry
Windowing
Windowing basics
Provided windowing functions
Setting your PCollection’s windowing function
Watermarks and late data
Adding timestamps to a PCollection’s elements
Triggers
Trigger basics
Event time triggers and the default trigger