[FreeCoursesOnline.Me] [Packtpub.Com] Apache Spark Tips, Tricks, & Techniques - [FCO]
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2019-2-6 20:57 | 2024-11-17 05:11 | 182 | 550.65 MB | 36 |
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文件列表
- 01.Transformations and Actions/0101.The Course Overview.mp47.61MB
- 01.Transformations and Actions/0102.Using Spark Transformations to Defer Computations to a Later Time.mp417.34MB
- 01.Transformations and Actions/0103.Avoiding Transformations.mp414.04MB
- 01.Transformations and Actions/0104.Using reduce and reduceByKey to Calculate Results.mp418.4MB
- 01.Transformations and Actions/0105.Performing Actions That Trigger Computations.mp416.87MB
- 01.Transformations and Actions/0106.Reusing the Same RDD for Different Actions.mp413.36MB
- 02.Immutable Design/0201.Delve into Spark RDDs ParentChild Chain.mp422.29MB
- 02.Immutable Design/0202.Using RDD in an Immutable Way.mp412.1MB
- 02.Immutable Design/0203.Using DataFrame Operations to Transform It.mp413.57MB
- 02.Immutable Design/0204.Immutability in the Highly Concurrent Environment.mp416.9MB
- 02.Immutable Design/0205.Using Dataset API in an Immutable Way.mp411.82MB
- 03.Avoid Shuffle and Reduce Operational Expenses/0301.Detecting a Shuffle in a Processing.mp416.85MB
- 03.Avoid Shuffle and Reduce Operational Expenses/0302.Testing Operations That Cause Shuffle in Apache Spark.mp415MB
- 03.Avoid Shuffle and Reduce Operational Expenses/0303.Changing Design of Jobs with Wide Dependencies.mp411.67MB
- 03.Avoid Shuffle and Reduce Operational Expenses/0304.Using keyBy() Operations to Reduce Shuffle.mp415.32MB
- 03.Avoid Shuffle and Reduce Operational Expenses/0305.Using Custom Partitioner to Reduce Shuffle.mp412.9MB
- 04.Saving Data in the Correct Format/0401.Saving Data in Plain Text.mp420.85MB
- 04.Saving Data in the Correct Format/0402.Leveraging JSON as a Data Format.mp415.29MB
- 04.Saving Data in the Correct Format/0403.Tabular Formats – CSV.mp413.23MB
- 04.Saving Data in the Correct Format/0404.Using Avro with Spark.mp415.59MB
- 04.Saving Data in the Correct Format/0405.Columnar Formats – Parquet.mp413.6MB
- 05.Working with Spark KeyValue API/0501.Available Transformations on KeyValue Pairs.mp418.02MB
- 05.Working with Spark KeyValue API/0502.Using aggregateByKey Instead of groupBy().mp417.77MB
- 05.Working with Spark KeyValue API/0503.Actions on KeyValue Pairs.mp413.17MB
- 05.Working with Spark KeyValue API/0504.Available Partitioners on KeyValue Data.mp423.05MB
- 05.Working with Spark KeyValue API/0505.Implementing Custom Partitioner.mp418.31MB
- 06.Testing Apache Spark Jobs/0601.Separating Logic from Spark Engine – Unit Testing.mp417.37MB
- 06.Testing Apache Spark Jobs/0602.Integration Testing Using SparkSession.mp412.48MB
- 06.Testing Apache Spark Jobs/0603.Mocking Data Sources Using Partial Functions.mp415.39MB
- 06.Testing Apache Spark Jobs/0604.Using ScalaCheck for Property-Based Testing.mp414.33MB
- 06.Testing Apache Spark Jobs/0605.Testing in Different Versions of Spark.mp412.7MB
- 07.Leveraging Spark GraphX API/0701.Creating Graph from Datasource.mp413.4MB
- 07.Leveraging Spark GraphX API/0702.Using Vertex API.mp417.97MB
- 07.Leveraging Spark GraphX API/0703.Using Edge API.mp410.68MB
- 07.Leveraging Spark GraphX API/0704.Calculate Degree of Vertex.mp414.21MB
- 07.Leveraging Spark GraphX API/0705.Calculate Page Rank.mp417.18MB
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