[CourseClub.NET] Packtpub - Apache Spark Streaming with Python and PySpark番号下载_[CourseClub.NET] Packtpub - Apache Spark Streaming with Python and PySpark番号下载_[CourseClub.NET] Packtpub - Apache Spark Streaming with Python and PySpark下载

[CourseClub.NET] Packtpub - Apache Spark Streaming with Python and PySpark

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种子名称： [CourseClub.NET] Packtpub - Apache Spark Streaming with Python and PySpark
文件类型：视频
文件数目： 31个文件
文件大小： 874.41 MB
收录时间： 2018-12-10 15:45
已经下载： 3次
资源热度： 139
最近下载： 2024-6-29 23:53

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CourseClub NET Packtpub - Apache Spark Streaming with Python and PySpark

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[CourseClub.NET] Packtpub - Apache Spark Streaming with Python and PySpark.torrent

01.Getting started with Apache Spark Streaming/0101.The Course Overview.mp46.64MB

01.Getting started with Apache Spark Streaming/0102.How to Take this Course and How to Get Support.mp43.29MB

01.Getting started with Apache Spark Streaming/0103.Introduction to Streaming.mp424.31MB

01.Getting started with Apache Spark Streaming/0104.Pyspark Setup Tutorial.mp469.64MB

01.Getting started with Apache Spark Streaming/0105.Example Twitter Application.mp469.16MB

02.Pyspark Basics/0201.What are Discretized Streams.mp49.88MB

02.Pyspark Basics/0202.How to Create Discretized Streams.mp429.6MB

02.Pyspark Basics/0203.Transformations on DStreams.mp440.53MB

02.Pyspark Basics/0204.Transformation Operation.mp449.61MB

02.Pyspark Basics/0205.Window Operations.mp48.83MB

02.Pyspark Basics/0206.Window.mp421.86MB

02.Pyspark Basics/0207.countByWindow.mp420.22MB

02.Pyspark Basics/0208.reduceByKeyAndWindow.mp430.79MB

02.Pyspark Basics/0209.countByValueAndWindow.mp423.14MB

02.Pyspark Basics/0210.Output Operations on DStreams.mp416.45MB

02.Pyspark Basics/0211.forEachRDD.mp431.97MB

02.Pyspark Basics/0212.SQL Operations.mp426.95MB

02.Pyspark Basics/0213.Reviewing the Basics.mp431.19MB

03.Advanced Spark Concepts/0301.Join Operations.mp425.21MB

03.Advanced Spark Concepts/0302.Stateful Transformations.mp423.65MB

03.Advanced Spark Concepts/0303.Checkpointing.mp437.89MB

03.Advanced Spark Concepts/0304.Accumulators.mp49.45MB

03.Advanced Spark Concepts/0305.Fault Tolerance.mp437.71MB

04.PySpark Streaming at Scale/0401.Performance Tuning.mp427.47MB

04.PySpark Streaming at Scale/0402.PySpark Streaming with Apache Kafka.mp444.36MB

04.PySpark Streaming at Scale/0403.PySpark Streaming with Amazon Kinesis.mp447.12MB

05.Structured Streaming/0501.Introduction to Structured Streaming.mp415.94MB

05.Structured Streaming/0502.Operations on Streaming Dataframes and DataSets.mp435.95MB

05.Structured Streaming/0503.Window Operations.mp432.97MB

05.Structured Streaming/0504.Handling Late Data and Watermarking.mp415.54MB

06.Course Conclusion/0601.Final Video.mp47.09MB