大数据使用火花：火花的EDX课程
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2021-02-17
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大数据使用火花：火花的EDX课程 （194个子文件） 
BlockData0 0B BlockData0 0B BlockData1000 9KB BlockData1000 9KB BlockData1000000 977KB BlockData1000000 977KB 3. Weather Analysis - Initial Visualisation.ipynb 1.4MB 3. Weather Analysis - Initial Visualisation-checkpoint.ipynb 1.4MB 3. Weather Analysis - Initial Visualisation-checkpoint.ipynb 1.4MB 4a. Weather Analysis - reconstruction PRCP-Smoothed.ipynb 1.28MB 4a. Weather Analysis - reconstruction PRCP-Smoothed-checkpoint.ipynb 1.28MB 4a. Weather Analysis - reconstruction PRCP-Smoothed-checkpoint.ipynb 1.28MB 7.Smoothing.ipynb 1.27MB 7.Smoothing-checkpoint.ipynb 1.27MB 7.Smoothing-checkpoint.ipynb 1.27MB 4. Weather Analysis - reconstruction SNWD.ipynb 1.17MB 4. Weather Analysis - reconstruction SNWD-checkpoint.ipynb 1.17MB 4. Weather Analysis - reconstruction SNWD-checkpoint.ipynb 1.17MB 3a. Weather Analysis - Visualisation after smoothing-checkpoint.ipynb 786KB 3a. Weather Analysis - Visualisation after smoothing-checkpoint.ipynb 786KB 3a. Weather Analysis - Visualisation after smoothing.ipynb 780KB 2_measuring_performance_of_memory_hierarchy-checkpoint.ipynb 327KB 2_measuring_performance_of_memory_hierarchy.ipynb 327KB 1.FunctionsAsVectors.ipynb 273KB 1_Row_vs_Col_Major.ipynb 179KB 1_Row_vs_Col_Major-checkpoint.ipynb 179KB 3_A more accurate measurement of memory Poke latencies-checkpoint.ipynb 168KB 3_A more accurate measurement of memory Poke latencies.ipynb 168KB 5. maps using iPyLeaflet-checkpoint.ipynb 156KB 5. maps using iPyLeaflet-checkpoint.ipynb 156KB 5. maps using iPyLeaflet.ipynb 156KB 6. Is SNWD variation spatial or temporal-checkpoint.ipynb 125KB 6. Is SNWD variation spatial or temporal.ipynb 125KB 6. Is SNWD variation spatial or temporal-checkpoint.ipynb 125KB collinearPoints.ipynb 48KB ComputeStatistics.ipynb 48KB 2.SparkSQLDataFrameOperations.ipynb 46KB 5.Word Count-checkpoint.ipynb 45KB 5.Word Count.ipynb 45KB HW-2.ipynb 42KB GroupBy vs. ReducebyKey vs SQL-Group-By-checkpoint.ipynb 39KB 2.PCA_computation per state-checkpoint.ipynb 37KB 2.PCA_computation per state.ipynb 37KB 2.PCA_computation per state-checkpoint.ipynb 37KB 3. Execution plans, Lazy Evaluation, and caching-checkpoint.ipynb 31KB 3. Execution plans, Lazy Evaluation, and caching.ipynb 31KB 3.S3_HDFS_Parquet.ipynb 30KB 6.(key,val) RDD operations.ipynb 25KB 1.SparkSQL.ipynb 24KB 4 Spark Basics 2.ipynb 19KB 1. Spark Basics 1.ipynb 19KB GroupBy vs. ReducebyKey vs SQL-Group-By.ipynb 15KB 1. Spark Basics 1-checkpoint.ipynb 14KB 0. README-checkpoint.ipynb 12KB 0. README.ipynb 12KB 0. README-checkpoint.ipynb 12KB 0. README.ipynb 12KB 7.Parsing large files.ipynb 7KB 4.More on spark.sql.ipynb 4KB 2. experiment changing the number of executors.ipynb 3KB
SparkContextAndRDD.jpg 159KB Slide3.jpg 53KB Slide2.jpg 45KB Slide4.jpg 37KB Slide5.jpg 36KB Slide3.jpg 28KB Slide3.jpg 28KB Slide2.jpg 27KB Slide2.jpg 27KB Slide1.jpg 22KB Slide1.jpg 18KB Slide1.jpg 18KB non-collinear-points.jpg 12KB people.json 73B users.parquet 615B
MemoryFigure.pdf 56KB MemoryFigure.pdf 44KB MemoryBlockFigure.pdf 36KB MemoryBlockFigure.pdf 26KB users-partition.pickle 9.16MB memory_report.pkl 80KB
AWS-EMR-S3.png 268KB PCA_using_numpy_-_Databricks.png 259KB PCA_using_numpy_-_Databricks.png 259KB MeanStdSNWD_NY.png 230KB MeanStdSNWD_NY.png 230KB MacBookProMemorySizes.png 196KB Random_access_latency.png 106KB Slide3.png 100KB percipitation.png 91KB percipitation.png 91KB plot_weather_measurement_counts.png 89KB plot_weather_measurement_counts.png 89KB Sequential_access_latency11.png 79KB Slide2.png 79KB Slide4.png 72KB Sequential_access_latency33.png 67KB LazyEvaluation2.png 66KB Slide5.png 66KB Sequential_access_latency.png 62KB共 194 条
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