UDEMI_Taming Big Data with MapReduce and Hadoop

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Torrent File Content (90 files)

UDEMI_Taming Big Data with MapReduce and Hadoop
1_-_Introduction
1_-_Introduction.mp4 -

32.59 MB

2_-_How_to_Use_This_Course.mp4 -

31.08 MB

2_-_Getting_Started
3.1_-_Enthought_Canopy_website.txt -

42 bytes

3_-_Installing_Enthought_Canopy.mp4 -

48.41 MB

4_-_Installing_MRJob.mp4 -

20.67 MB

5_-_Downloading_the_MovieLens_Data_Set.mp4 -

26.58 MB

6_-_Run_Your_First_MapReduce_Job.mp4 -

38.39 MB

3_-_Understanding_MapReduce
10_-_Average_Friends_by_Age_Example_-_Part_1.mp4 -

12.13 MB

11.1_-_Friends_By_Age_.py -

469 bytes

11.2_-_Data_for_FriendsByAge.py.txt -

48 bytes

11_-_Average_Friends_by_Age_Example_-_Part_2.mp4 -

34.24 MB

12.1_-_Min_Temperatures_.py -

597 bytes

12_-_Minimum_Temperature_By_Location_Example.mp4 -

39.86 MB

13.1_-_Max_Temperatures_.py -

605 bytes

13.2_-_Temperature_data_file.txt -

41 bytes

13_-_Maximum_Temperature_By_Location_Example.mp4 -

18.46 MB

14.1_-_Word_Frequency_.py -

331 bytes

14_-_Word_Frequency_in_a_Book_Example.mp4 -

19.68 MB

15.1_-_Word_Frequency_Better_.py -

396 bytes

15_-_Making_the_Word_Frequency_Mapper_Better_with_Regular_Expressions.mp4 -

17.6 MB

16.1_-_Word_Frequency_Sorted_.py -

951 bytes

16.2_-_Book.txt -

258.67 KB

16_-_Sorting_the_Word_Frequency_Results_Using_Multi-Stage_MapReduce_Jobs.mp4 -

41.15 MB

17_-_Activity_-_Design_a_Mapper_and_Reducer_for_Total_Spent_by_Customer.mp4 -

18.2 MB

18_-_Activity_-_Write_Code_for_Total_Spent_by_Customer.mp4 -

14.85 MB

19.1_-_Spend_By_Customer_.py -

351 bytes

19_-_Compare_Your_Code_to_Mine._Activity_-_Sort_Results_by_Amount_Spent.mp4 -

32.49 MB

20.1_-_Spend_By_Customer_Sorted_.py -

975 bytes

20.2_-_Customer_Orders_Data_File.txt -

52 bytes

20_-_Compare_your_Code_to_Mine_for_Sorted_Results..mp4 -

18.86 MB

21.1_-_Word_Frequency_With_Combiner_.py -

432 bytes

21_-_Combiners.mp4 -

52.17 MB

7_-_MapReduce_Basic_Concepts.mp4 -

21.55 MB

8.1_-_Rating_Counter_.py -

348 bytes

8_-_Walkthrough_of_Rating_Histogram_Code.mp4 -

31.16 MB

9_-_Understanding_How_MapReduce_Scales_Distributed_Computing.mp4 -

18.02 MB

4_-_Advanced_MapReduce_Examples
22.1_-_Most_Popular_Movie_.py -

683 bytes

22_-_Example_-_Most_Popular_Movie.mp4 -

28.22 MB

23.1_-_Most_Popular_Movie_Nicer_.py -

1.16 KB

23_-_Including_Ancillary_Lookup_Data_in_the_Example.mp4 -

45.39 MB

24_-_Example_-_Most_Popular_Superhero_Part_1.mp4 -

17.13 MB

25.1_-_Marvel_Graph.txt -

1.6 MB

25.2_-_Marvel_Names.txt -

343.6 KB

25.3_-_Most_Popular_Superhero_.py -

1.46 KB

25_-_Example_-_Most_Popular_Superhero_Part_2.mp4 -

32.33 MB

26_-_Example_-_Degrees_of_Separation_-_Concepts.mp4 -

32.54 MB

27.1_-_Process_Marvel_.py -

955 bytes

27_-_Degrees_of_Separation_-_Preprocessing_the_Data.mp4 -

35.29 MB

28_-_Degrees_of_Separation_-_Code_Walkthrough.mp4 -

31.94 MB

29.1_-_BFS_Iteration.py -

2.71 KB

Description

 							UDEMI Taming Big Data with MapReduce and Hadoop

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UDEMI_Taming Big Data with MapReduce and Hadoop

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