Structured Streaming
Apache Spark 2.2
12 Videos | 1h 10m 54s - Includes Assessment
- Earns a Badge
Discover the concepts of Structured Steaming such as Windowing, DataFrame, and SQL Operations, and explore File Sinks, Deduplication, and Checkpointing.
WHAT YOU WILL LEARN
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describe Structured Streaming
read stream input using readStream
write stream data using writeStream
apply window operations on event time
describe continuous applications in terms of structured streaming
implement deduplication with and without watermarking -
store stream output to a directory using a file sink
use streaming query objects
manage streaming queries
enable checkpointing in structured streaming
use structured streaming to implement a word count on a text stream
describe the basics of Spark Streaming
IN THIS COURSE
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1.Structured Streaming Overview4m 53sUP NEXT
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2.Stream Input7m 7s
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3.Stream Output4m 29s
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4.Windowing7m 43s
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5.Continuous Applications4m 1s
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6.Deduplication6m 4s
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7.File Sinks4m 46s
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8.Streaming Query4m 27s
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9.Streaming Query Manager6m 20s
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10.Checkpointing5m 37s
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11.Word Count5m 8s
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12.Exercise: Identify Spark Streaming Basics4m 50s
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