FreeTutorials us the ultimate hands on hadoop tame your big data


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Torrent File Content (99 files)


[FreeTutorials.us] the-ultimate-hands-on-hadoop-tame-your-big-data
    01 Learn all the buzzwords And install Hadoop
          001 Activity Introduction and install Hadoop on your desktop.mp4 -
110.55 MB

          002 Hadoop Overview and History.mp4 -
30.3 MB

          003 Overview of the Hadoop Ecosystem.mp4 -
88.49 MB

          004 Tips for Using This Course.mp4 -
16.85 MB

          attached_files/001 Activity Introduction and install Hadoop on your desktop/VirtualBoxTroubleshooting.pdf -
336.17 KB

          attached_files/004 Tips for Using This Course/HadoopCourseTips.pdf -
568 KB

    02 Using Hadoops Core HDFS and MapReduce
          005 HDFS What it is and how it works.mp4 -
31.43 MB

          006 Activity Install the MovieLens dataset into HDFS using the Ambari UI.mp4 -
29.19 MB

          007 Activity Install the MovieLens dataset into HDFS using the command line.mp4 -
33.18 MB

          008 MapReduce What it is and how it works.mp4 -
21.2 MB

          009 How MapReduce distributes processing.mp4 -
27.62 MB

          010 MapReduce example Break down movie ratings by rating score.mp4 -
24.34 MB

          011 Activity Installing Python MRJob and nano.mp4 -
28.08 MB

          012 Activity Code up the ratings histogram MapReduce job and run it.mp4 -
16.96 MB

          013 Exercise Rank movies by their popularity.mp4 -
13.82 MB

          014 Activity Check your results against mine.mp4 -
33.77 MB

    03 Programming Hadoop with Pig
          015 Introducing Ambari.mp4 -
28.73 MB

          016 Introducing Pig.mp4 -
29.32 MB

          017 Example Find the oldest movie with a 5-star rating using Pig.mp4 -
34.44 MB

          018 Activity Find old 5-star movies with Pig.mp4 -
27.46 MB

          019 More Pig Latin.mp4 -
14.46 MB

          020 Exercise Find the most-rated one-star movie.mp4 -
3.77 MB

          021 Pig Challenge Compare Your Results to Mine.mp4 -
29.32 MB

    04 Programming Hadoop with Spark
          022 Why Spark.mp4 -
30.57 MB

          023 The Resilient Distributed Dataset RDD.mp4 -
18.16 MB

          024 Activity Find the movie with the lowest average rating - with RDDs.mp4 -
50.94 MB

          025 Datasets and Spark 2.0.mp4 -
12.36 MB

          026 Activity Find the movie with the lowest average rating - with DataFrames.mp4 -
32.22 MB

          027 Activity Movie recommendations with MLLib.mp4 -
44.76 MB

          028 Exercise Filter the lowest-rated movies by number of ratings.mp4 -
5.96 MB

          029 Activity Check your results against mine.mp4 -
38.73 MB

    05 Using relational data stores with Hadoop
          030 What is Hive.mp4 -
16.42 MB

          031 Activity Use Hive to find the most popular movie.mp4 -
23.85 MB

          032 How Hive works.mp4 -
15.93 MB

          033 Exercise Use Hive to find the movie with the highest average rating.mp4 -
3.42 MB

          034 Compare your solution to mine..mp4 -
8.47 MB

          035 Integrating MySQL with Hadoop.mp4 -
13.92 MB

          036 Activity Install MySQL and import our movie data.mp4 -
22.92 MB

          037 Activity Use Sqoop to import data from MySQL to HFDSHive.mp4 -
21.58 MB

          038 Activity Use Sqoop to export data from Hadoop to MySQL.mp4 -
22.65 MB

    06 Using non-relational data stores with Hadoop
          039 Why NoSQL.mp4 -
51.47 MB

          040 What is HBase.mp4 -
22.32 MB

          041 Activity Import movie ratings into HBase.mp4 -
30.87 MB

          042 Activity Use HBase with Pig to import data at scale..mp4 -
33.57 MB

          043 Cassandra overview.mp4 -
32.07 MB

          044 Activity Installing Cassandra.mp4 -
36.84 MB

          045 Activity Write Spark output into Cassandra.mp4 -
33.71 MB

          046 MongoDB overview.mp4 -
34.16 MB

          047 Activity Install MongoDB and integrate Spark with MongoDB.mp4 -
40 MB

          048 Activity Using the MongoDB shell.mp4 -
23.23 MB



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