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the ultite hands hadoop tame your big a
  • MP401 Learn all the buzzwords And install Hadoop\\/001 Activity Introduction and install Hadoop on your desk.mp4110.55MB
  • MP401 Learn all the buzzwords And install Hadoop\\/002 Hadoop Overview and History.mp430.30MB
  • MP401 Learn all the buzzwords And install Hadoop\\/003 Overview of the Hadoop Ecosystem.mp488.49MB
  • MP401 Learn all the buzzwords And install Hadoop\\/004 Tips for Using This Course.mp416.85MB
  • PDF01 Learn all the buzzwords And install Hadoop\\attached_files\\001 Activity Introduction and install Hadoop on your desk\\/VirtualBoxTroubleshooting.pdf336.17KB
  • PDF01 Learn all the buzzwords And install Hadoop\\attached_files\\004 Tips for Using This Course\\/HadoopCourseTips.pdf568.00KB
  • MP402 Using Hadoops Core HDFS and pReduce\\/005 HDFS What it is and how it works.mp431.43MB
  • MP402 Using Hadoops Core HDFS and pReduce\\/006 Activity Install the MovieLens dataset into HDFS using the Ambari UI.mp429.19MB
  • MP402 Using Hadoops Core HDFS and pReduce\\/007 Activity Install the MovieLens dataset into HDFS using the command line.mp433.18MB
  • MP402 Using Hadoops Core HDFS and pReduce\\/008 MapReduce What it is and how it works.mp421.20MB
  • MP402 Using Hadoops Core HDFS and pReduce\\/009 How MapReduce distributes processing.mp427.62MB
  • MP402 Using Hadoops Core HDFS and pReduce\\/010 MapReduce example Break down movie ratings by rating score.mp424.34MB
  • MP402 Using Hadoops Core HDFS and pReduce\\/011 Activity Installing Python MRJob and nano.mp428.08MB
  • MP402 Using Hadoops Core HDFS and pReduce\\/012 Activity Code up the ratings histogram MapReduce job and run it.mp416.96MB
  • MP402 Using Hadoops Core HDFS and pReduce\\/013 Exercise Rank movies by their popularity.mp413.82MB
  • MP402 Using Hadoops Core HDFS and pReduce\\/014 Activity Check your results against mine.mp433.77MB
  • MP403 Programming Hadoop with Pig\\/015 Introducing Ambari.mp428.73MB
  • MP403 Programming Hadoop with Pig\\/016 Introducing Pig.mp429.32MB
  • MP403 Programming Hadoop with Pig\\/017 Example Find the oldest movie with a 5-star rating using Pig.mp434.44MB
  • MP403 Programming Hadoop with Pig\\/018 Activity Find old 5-star movies with Pig.mp427.46MB
  • MP403 Programming Hadoop with Pig\\/019 More Pig Latin.mp414.46MB
  • MP403 Programming Hadoop with Pig\\/020 Exercise Find the most-rated one-star movie.mp43.77MB
  • MP403 Programming Hadoop with Pig\\/021 Pig Challenge Compare Your Results to Mine.mp429.32MB
  • MP404 Programming Hadoop with Spark\\/022 Why Spark.mp430.57MB
  • MP404 Programming Hadoop with Spark\\/023 The Resilient Distributed Dataset RDD.mp418.16MB
  • MP404 Programming Hadoop with Spark\\/024 Activity Find the movie with the lowest erage rating - with RDDs.mp450.94MB
  • MP404 Programming Hadoop with Spark\\/025 Datasets and Spark 2.0.mp412.36MB
  • MP404 Programming Hadoop with Spark\\/026 Activity Find the movie with the lowest erage rating - with Datafr<x>ames.mp432.22MB
  • MP404 Programming Hadoop with Spark\\/027 Activity Movie recommendations with MLLib.mp444.76MB
  • MP404 Programming Hadoop with Spark\\/028 Exercise Filter the lowest-rated movies by number of ratings.mp45.96MB
  • MP404 Programming Hadoop with Spark\\/029 Activity Check your results against mine.mp438.73MB
  • MP405 Using relational data stores with Hadoop\\/030 What is Hive.mp416.42MB
  • MP405 Using relational data stores with Hadoop\\/031 Activity Use Hive to find the most popular movie.mp423.85MB
  • MP405 Using relational data stores with Hadoop\\/032 How Hive works.mp415.93MB
  • MP405 Using relational data stores with Hadoop\\/033 Exercise Use Hive to find the movie with the highest erage rating.mp43.42MB
  • MP405 Using relational data stores with Hadoop\\/034 Compare your solution to mine..mp48.47MB
  • MP405 Using relational data stores with Hadoop\\/035 Integrating MySQL with Hadoop.mp413.92MB
  • MP405 Using relational data stores with Hadoop\\/036 Activity Install MySQL and import our movie data.mp422.92MB
  • MP405 Using relational data stores with Hadoop\\/037 Activity Use Sqoop to import data from MySQL to HFDSHive.mp421.58MB
  • MP405 Using relational data stores with Hadoop\\/038 Activity Use Sqoop to export data from Hadoop to MySQL.mp422.65MB
  • MP406 Using non-relational data stores with Hadoop\\/039 Why NoSQL.mp451.47MB
  • MP406 Using non-relational data stores with Hadoop\\/040 What is Hba<x>se.mp422.32MB
  • MP406 Using non-relational data stores with Hadoop\\/041 Activity Import movie ratings into Hba<x>se.mp430.87MB
  • MP406 Using non-relational data stores with Hadoop\\/042 Activity Use Hba<x>se with Pig to import data at scale..mp433.57MB
  • MP406 Using non-relational data stores with Hadoop\\/043 Cassandra overview.mp432.07MB
  • MP406 Using non-relational data stores with Hadoop\\/044 Activity Installing Cassandra.mp436.84MB
  • MP406 Using non-relational data stores with Hadoop\\/045 Activity Write Spark output into Cassandra.mp433.71MB
  • MP406 Using non-relational data stores with Hadoop\\/046 MongoDB overview.mp434.16MB
  • MP406 Using non-relational data stores with Hadoop\\/047 Activity Install MongoDB and integrate Spark with MongoDB.mp440.00MB
  • MP406 Using non-relational data stores with Hadoop\\/048 Activity Using the MongoDB shell.mp423.23MB
  • MP406 Using non-relational data stores with Hadoop\\/049 Choosing a databa<x>se technology.mp456.90MB
  • MP406 Using non-relational data stores with Hadoop\\/050 Exercise Choose a databa<x>se for a given problem.mp416.88MB
  • MP407 Querying your Data Interactively\\/051 Overview of Drill.mp430.51MB
  • MP407 Querying your Data Interactively\\/052 Activity Setting up Drill.mp434.04MB
  • MP407 Querying your Data Interactively\\/053 Activity Querying across multiple databa<x>ses with Drill.mp414.34MB
  • MP407 Querying your Data Interactively\\/054 Overview of Phoenix.mp416.60MB
  • MP407 Querying your Data Interactively\\/055 Activity Install Phoenix and query Hba<x>se with it.mp419.79MB
  • MP407 Querying your Data Interactively\\/056 Activity Integrate Phoenix with Pig.mp434.36MB
  • MP407 Querying your Data Interactively\\/057 Overview of Presto.mp422.46MB
  • MP407 Querying your Data Interactively\\/058 Activity Install Presto and query Hive with it..mp442.24MB
  • MP407 Querying your Data Interactively\\/059 Activity Query both Cassandra and Hive using Presto..mp434.59MB
  • MP408 naging your Cluster\\/060 YARN explained.mp424.45MB
  • MP408 naging your Cluster\\/061 Tez explained.mp48.61MB
  • MP408 naging your Cluster\\/062 Activity Use Hive on Tez and measure the performance benefit.mp428.27MB
  • MP408 naging your Cluster\\/063 Mesos explained.mp425.90MB
  • MP408 naging your Cluster\\/0 ZooKeeper explained.mp422.92MB
  • MP408 naging your Cluster\\/065 Activity Simulating a failing master with ZooKeeper.mp418.79MB
  • MP408 naging your Cluster\\/066 Oozie explained.mp421.48MB
  • MP408 naging your Cluster\\/067 Activity Set up a simple Oozie workflow.mp441.24MB
  • MP408 naging your Cluster\\/068 Zeppelin overview.mp421.21MB
  • MP408 naging your Cluster\\/069 Activity Use Zeppelin to analyze movie ratings part 1.mp424.29MB
  • MP408 naging your Cluster\\/070 Activity Use Zeppelin to analyze movie ratings part 2.mp424.54MB
  • MP408 naging your Cluster\\/071 Hue overview.mp416.09MB
  • MP408 naging your Cluster\\/072 Other technologies worth mentioning.mp416.34MB
  • MP409 Feeding Data to your Cluster\\/073 Kafka explained.mp425.29MB
  • MP409 Feeding Data to your Cluster\\/074 Activity Setting up Kafka and publishing some data..mp419.17MB
  • MP409 Feeding Data to your Cluster\\/075 Activity Publishing web logs with Kafka.mp431.57MB
  • MP409 Feeding Data to your Cluster\\/076 Flume explained.mp417.62MB
  • MP409 Feeding Data to your Cluster\\/077 Activity Set up Flume and publish logs with it..mp418.97MB
  • MP409 Feeding Data to your Cluster\\/078 Activity Set up Flume to monitor a directory and store its data in HDFS.mp430.63MB
  • MP410 Analyzing Streams of Data\\/079 Spark Streaming Introduction.mp431.90MB
  • MP410 Analyzing Streams of Data\\/080 Activity Analyze web logs published with Flume using Spark Streaming.mp440.27MB
  • MP410 Analyzing Streams of Data\\/081 Exercise Monitor Flume-published logs for errors in real time.mp425.00MB
  • MP410 Analyzing Streams of Data\\/082 Exercise solution Aggregating HTTP access codes with Spark Streaming.mp415.02MB
  • MP410 Analyzing Streams of Data\\/083 Apache Storm Introduction.mp416.51MB
  • MP410 Analyzing Streams of Data\\/084 Activity Count words with Storm.mp444.56MB
  • MP410 Analyzing Streams of Data\\/085 Fli<x>nk An Overview.mp412.33MB
  • MP410 Analyzing Streams of Data\\/086 Activity Counting words with Fli<x>nk.mp440.64MB
  • MP411 Designing Real-World Systems\\/087 The Best of the Rest.mp416.21MB
  • MP411 Designing Real-World Systems\\/088 Review How the pieces fit together.mp421.86MB
  • MP411 Designing Real-World Systems\\/089 Understanding your requirements.mp414.28MB
  • MP411 Designing Real-World Systems\\/090 Sample application consume webserver logs and keep track of -sellers.mp418.23MB
  • MP411 Designing Real-World Systems\\/091 Sample application serving movie recommendations to a website.mp419.72MB
  • MP411 Designing Real-World Systems\\/092 Exercise Design a system to report web sessions per day.mp44.84MB
  • MP411 Designing Real-World Systems\\/093 Exercise solution Design a system to count daily sessions.mp414.16MB
  • MP412 Learning More\\/094 Books and online resources.mp460.06MB
  • MP412 Learning More\\/095 Bonus lecture Discounts on my other big data data science courses.mp410.12MB
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