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尚硅谷 flink 讲义
English Answer：
Chapter 1: Introduction to Apache Flink.
Flink's architecture consists of two layers: the
data processing layer and the runtime layer.
Flink can be used for both batch and stream
processing.
Flink's API provides a rich set of operations for
data manipulation and transformation.
Chapter 2: Getting Started with Flink.
To set up a Flink environment, you can use the
Flink distribution or build Flink from source.
You can write Flink programs in Java or Scala.
To execute a Flink program, you can use the Flink
command-line interface or the Flink web interface.
Chapter 3: Data Sources and Sinks.
Flink supports a variety of data sources, including
files, streams, and databases.
Flink also supports a variety of data sinks,
including files, streams, and databases.
Chapter 4: Data Transformations.
Flink provides a rich set of data transformation
operations, including filtering, mapping, aggregation, and
windowing.
Chapter 5: Data Processing with Flink.
Flink can be used to build a variety of data
processing applications, including real-time stream
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