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Data compression in Modern Application
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Data compression in Modern Application

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In this lecture, Sergei Koren, System architect at LivePerson production team presents data & image compression and its effective usage in modern web and data flows.

In this lecture, Sergei Koren, System architect at LivePerson production team presents data & image compression and its effective usage in modern web and data flows.

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Data compression in Modern Application Data compression in Modern Application Presentation Transcript

  • Compression by Sergei Koren.
  • Compression as we used to know
  • Compression indeed
  • Compression classification We will focus on lossless codecs
  • There is always trade off
  • There is always trade-off.. ● … ● Is there? It is all about the need and implementation
  • What is difference?
  • Hadoop M/R Data transfer stage
  • Terasoft results hadoop jar /usr/lib/hadoop-0.20-mapreduce/hadoop- examples.jar terasort - Dmapred.compress.map.output=true - Dmapred.reduce.slowstart.completed.maps=0.95 - Dmapred.reduce.tasks=100 - Dmapred.map.output.compression.codec=org.apach e.hadoop.io.compress.GzipCodec teragen-input terasort-output
  • Compression for web Demo: using compression to optimize web delivery
  • Compression for web
  • References From Salesforce From Cisco
  • Wrap up ● Compression usage is must in modern systems ● Get to know your data and flows ● Choose codecs carefully. You may no penalty at all to use them!