UDEMI_Taming Big Data with MapReduce and Hadoop Torrent Download

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Name:	UDEMI_Taming Big Data with MapReduce and Hadoop
Usenet:	Downloads Anonymously to Unlimited data Access! Get Usenet Free Trial
Hash:	361D863290E1EA2B5673BF4DD77EF053DF8D6027
Category:	Audio Books
Peers:	Seeds: 10 & Leechers: 15
Size:	3.19 GB
Stream:	Watch Full HD Movies @ LimeMovies
Date:	21 August 2015

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This is verified, clean and high quality torrent (0) \| Fake (0) \| Password (0) \| Low quality (0) \| Virus (0)

Torrent Files Size: 3.19 GB
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 29_-_Degrees_of_Separation_-_Running_and_Analyzing_the_Results.mp4 - 39.33 MB 30_-_Example_-_Similar_Movies_Based_on_Ratings_-_Concepts.mp4 - 26.11 MB 31_-_Similar_Movies_-_Code_Walkthrough.mp4 - 40.84 MB 32.2_-_MovieLens_Data_Website.txt - 40 bytes 32_-_Similar_Movies_-_Running_and_Analyzing_the_Results.mp4 - 67.8 MB 33_-_Learning_Activity_-_Improving_our_Movie_Similarities_MapReduce_Job.mp4 - 24.85 MB 5_-_Using_Hadoop_and_Elastic_MapReduce 34.1_-_Hadoop_website.txt - 26 bytes 34_-_Fundamental_Concepts_of_Hadoop.mp4 - 30.74 MB 35_-_The_Hadoop_Distributed_File_System_HDFS_.mp4 - 10.6 MB 36.1_-_YARN_website.txt - 76 bytes 36_-_Apache_YARN.mp4 - 20.23 MB 37_-_Hadoop_Streaming_-_How_Hadoop_Runs_your_Python_Code.mp4 - 20.35 MB 38.1_-_Amazon_Web_Services_Homepage.txt - 22 bytes 38_-_Setting_Up_Your_Amazon_Elastic_MapReduce_Account.mp4 - 31.61 MB 39_-_Linking_Your_EMR_Account_with_MRJob.mp4 - 14 MB 40_-_Exercise_-_Run_Movie_Recommendations_on_Elastic_MapReduce.mp4 - 25.95 MB 41_-_Analyze_the_Results_of_Your_EMR_Job.mp4 - 25.15 MB 6_-_Advanced_Hadoop_and_EMR 42_-_Distributed_Computing_Fundamentals.mp4 - 16.67 MB 43.1_-_Movie_Similarities_.py - 4.41 KB 43_-_Activity_-_Running_Movie_Similarities_on_Four_Machines.mp4 - 26.41 MB 44_-_Analyzing_the_Results_of_the_4-Machine_Job.mp4 - 65.9 MB 45_-_Troubleshooting_Hadoop_Jobs_with_EMR_and_MRJob_Part_1.mp4 - 23.31 MB 46.1_-_MRJob_EMR_Documentation.txt - 57 bytes 46_-_Troubleshooting_Hadoop_Jobs_Part_2.mp4 - 61.76 MB 47_-_Analyzing_One_Million_Movie_Ratings_Across_16_Machines_Part_1.mp4 - 32.05 MB 48.1_-_Movie_Similarities_Large_.py - 4.33 KB 48_-_Analyzing_One_Million_Movie_Ratings_Across_16_Machines_Part_2.mp4 - 52.27 MB 7_-_Other_Hadoop_Technologies 49.1_-_Hive_Website.txt - 24 bytes 49_-_Introducing_Apache_Hive.mp4 - 15.62 MB 50.1_-_Pig_Website.txt - 23 bytes 50_-_Introducing_Apache_Pig.mp4 - 22.74 MB 51.1_-_Spark_website.txt - 24 bytes 51_-_Apache_Spark_-_Concepts.mp4 - 31.19 MB 52.1_-_AWS_Spark_on_EMR_blog_entry.txt - 64 bytes 52.2_-_Scala_source_code_for_the_flights_example.txt - 52 bytes 52_-_Spark_Example_-_Part_1.mp4 - 64.56 MB 53_-_Spark_Example_-_Part_2.mp4 - 17.22 MB 54_-_Congratulations_.mp4 - 13.21 MB All Files - tamingBigdata - 0 bytes keiso_utbigdwmh.iso - 1.6 GB

Torrent Files

Size: 3.19 GB

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

29_-_Degrees_of_Separation_-_Running_and_Analyzing_the_Results.mp4 -

39.33 MB

30_-_Example_-_Similar_Movies_Based_on_Ratings_-_Concepts.mp4 -

26.11 MB

31_-_Similar_Movies_-_Code_Walkthrough.mp4 -

40.84 MB

32.2_-_MovieLens_Data_Website.txt -

40 bytes

32_-_Similar_Movies_-_Running_and_Analyzing_the_Results.mp4 -

67.8 MB

33_-_Learning_Activity_-_Improving_our_Movie_Similarities_MapReduce_Job.mp4 -

24.85 MB

5_-_Using_Hadoop_and_Elastic_MapReduce

34.1_-_Hadoop_website.txt -

26 bytes

34_-_Fundamental_Concepts_of_Hadoop.mp4 -

30.74 MB

35_-_The_Hadoop_Distributed_File_System_HDFS_.mp4 -

10.6 MB

36.1_-_YARN_website.txt -

76 bytes

36_-_Apache_YARN.mp4 -

20.23 MB

37_-_Hadoop_Streaming_-_How_Hadoop_Runs_your_Python_Code.mp4 -

20.35 MB

38.1_-_Amazon_Web_Services_Homepage.txt -

22 bytes

38_-_Setting_Up_Your_Amazon_Elastic_MapReduce_Account.mp4 -

31.61 MB

39_-_Linking_Your_EMR_Account_with_MRJob.mp4 -

14 MB

40_-_Exercise_-_Run_Movie_Recommendations_on_Elastic_MapReduce.mp4 -

25.95 MB

41_-_Analyze_the_Results_of_Your_EMR_Job.mp4 -

25.15 MB

6_-_Advanced_Hadoop_and_EMR

42_-_Distributed_Computing_Fundamentals.mp4 -

16.67 MB

43.1_-_Movie_Similarities_.py -

4.41 KB

43_-_Activity_-_Running_Movie_Similarities_on_Four_Machines.mp4 -

26.41 MB

44_-_Analyzing_the_Results_of_the_4-Machine_Job.mp4 -

65.9 MB

45_-_Troubleshooting_Hadoop_Jobs_with_EMR_and_MRJob_Part_1.mp4 -

23.31 MB

46.1_-_MRJob_EMR_Documentation.txt -

57 bytes

46_-_Troubleshooting_Hadoop_Jobs_Part_2.mp4 -

61.76 MB

47_-_Analyzing_One_Million_Movie_Ratings_Across_16_Machines_Part_1.mp4 -

32.05 MB

48.1_-_Movie_Similarities_Large_.py -

4.33 KB

48_-_Analyzing_One_Million_Movie_Ratings_Across_16_Machines_Part_2.mp4 -

52.27 MB

7_-_Other_Hadoop_Technologies

49.1_-_Hive_Website.txt -

24 bytes

49_-_Introducing_Apache_Hive.mp4 -

15.62 MB

50.1_-_Pig_Website.txt -

23 bytes

50_-_Introducing_Apache_Pig.mp4 -

22.74 MB

51.1_-_Spark_website.txt -

24 bytes

51_-_Apache_Spark_-_Concepts.mp4 -

31.19 MB

52.1_-_AWS_Spark_on_EMR_blog_entry.txt -

64 bytes

52.2_-_Scala_source_code_for_the_flights_example.txt -

52 bytes

52_-_Spark_Example_-_Part_1.mp4 -

64.56 MB

53_-_Spark_Example_-_Part_2.mp4 -

17.22 MB

54_-_Congratulations_.mp4 -

13.21 MB

All Files - tamingBigdata

0 bytes

keiso_utbigdwmh.iso -

1.6 GB

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