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[FreeTutorials.us] the-ultimate-hands-on-hadoop-tame-your-big-data

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种子名称: [FreeTutorials.us] the-ultimate-hands-on-hadoop-tame-your-big-data
文件类型: 视频
文件数目: 95个文件
文件大小: 2.5 GB
收录时间: 2019-5-26 10:04
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资源热度: 163
最近下载: 2024-10-20 07:07

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[FreeTutorials.us] the-ultimate-hands-on-hadoop-tame-your-big-data.torrent
  • 01 Learn all the buzzwords And install Hadoop/001 Activity Introduction and install Hadoop on your desktop.mp4110.55MB
  • 01 Learn all the buzzwords And install Hadoop/002 Hadoop Overview and History.mp430.3MB
  • 01 Learn all the buzzwords And install Hadoop/003 Overview of the Hadoop Ecosystem.mp488.49MB
  • 01 Learn all the buzzwords And install Hadoop/004 Tips for Using This Course.mp416.85MB
  • 02 Using Hadoops Core HDFS and MapReduce/005 HDFS What it is and how it works.mp431.43MB
  • 02 Using Hadoops Core HDFS and MapReduce/006 Activity Install the MovieLens dataset into HDFS using the Ambari UI.mp429.19MB
  • 02 Using Hadoops Core HDFS and MapReduce/007 Activity Install the MovieLens dataset into HDFS using the command line.mp433.18MB
  • 02 Using Hadoops Core HDFS and MapReduce/008 MapReduce What it is and how it works.mp421.2MB
  • 02 Using Hadoops Core HDFS and MapReduce/009 How MapReduce distributes processing.mp427.62MB
  • 02 Using Hadoops Core HDFS and MapReduce/010 MapReduce example Break down movie ratings by rating score.mp424.34MB
  • 02 Using Hadoops Core HDFS and MapReduce/011 Activity Installing Python MRJob and nano.mp428.08MB
  • 02 Using Hadoops Core HDFS and MapReduce/012 Activity Code up the ratings histogram MapReduce job and run it.mp416.96MB
  • 02 Using Hadoops Core HDFS and MapReduce/013 Exercise Rank movies by their popularity.mp413.82MB
  • 02 Using Hadoops Core HDFS and MapReduce/014 Activity Check your results against mine.mp433.77MB
  • 03 Programming Hadoop with Pig/015 Introducing Ambari.mp428.73MB
  • 03 Programming Hadoop with Pig/016 Introducing Pig.mp429.32MB
  • 03 Programming Hadoop with Pig/017 Example Find the oldest movie with a 5-star rating using Pig.mp434.44MB
  • 03 Programming Hadoop with Pig/018 Activity Find old 5-star movies with Pig.mp427.46MB
  • 03 Programming Hadoop with Pig/019 More Pig Latin.mp414.46MB
  • 03 Programming Hadoop with Pig/020 Exercise Find the most-rated one-star movie.mp43.77MB
  • 03 Programming Hadoop with Pig/021 Pig Challenge Compare Your Results to Mine.mp429.32MB
  • 04 Programming Hadoop with Spark/022 Why Spark.mp430.57MB
  • 04 Programming Hadoop with Spark/023 The Resilient Distributed Dataset RDD.mp418.16MB
  • 04 Programming Hadoop with Spark/024 Activity Find the movie with the lowest average rating - with RDDs.mp450.94MB
  • 04 Programming Hadoop with Spark/025 Datasets and Spark 2.0.mp412.36MB
  • 04 Programming Hadoop with Spark/026 Activity Find the movie with the lowest average rating - with DataFrames.mp432.22MB
  • 04 Programming Hadoop with Spark/027 Activity Movie recommendations with MLLib.mp444.76MB
  • 04 Programming Hadoop with Spark/028 Exercise Filter the lowest-rated movies by number of ratings.mp45.96MB
  • 04 Programming Hadoop with Spark/029 Activity Check your results against mine.mp438.73MB
  • 05 Using relational data stores with Hadoop/030 What is Hive.mp416.42MB
  • 05 Using relational data stores with Hadoop/031 Activity Use Hive to find the most popular movie.mp423.85MB
  • 05 Using relational data stores with Hadoop/032 How Hive works.mp415.93MB
  • 05 Using relational data stores with Hadoop/033 Exercise Use Hive to find the movie with the highest average rating.mp43.42MB
  • 05 Using relational data stores with Hadoop/034 Compare your solution to mine..mp48.47MB
  • 05 Using relational data stores with Hadoop/035 Integrating MySQL with Hadoop.mp413.92MB
  • 05 Using relational data stores with Hadoop/036 Activity Install MySQL and import our movie data.mp422.92MB
  • 05 Using relational data stores with Hadoop/037 Activity Use Sqoop to import data from MySQL to HFDSHive.mp421.58MB
  • 05 Using relational data stores with Hadoop/038 Activity Use Sqoop to export data from Hadoop to MySQL.mp422.65MB
  • 06 Using non-relational data stores with Hadoop/039 Why NoSQL.mp451.47MB
  • 06 Using non-relational data stores with Hadoop/040 What is HBase.mp422.32MB
  • 06 Using non-relational data stores with Hadoop/041 Activity Import movie ratings into HBase.mp430.87MB
  • 06 Using non-relational data stores with Hadoop/042 Activity Use HBase with Pig to import data at scale..mp433.57MB
  • 06 Using non-relational data stores with Hadoop/043 Cassandra overview.mp432.07MB
  • 06 Using non-relational data stores with Hadoop/044 Activity Installing Cassandra.mp436.84MB
  • 06 Using non-relational data stores with Hadoop/045 Activity Write Spark output into Cassandra.mp433.71MB
  • 06 Using non-relational data stores with Hadoop/046 MongoDB overview.mp434.16MB
  • 06 Using non-relational data stores with Hadoop/047 Activity Install MongoDB and integrate Spark with MongoDB.mp440MB
  • 06 Using non-relational data stores with Hadoop/048 Activity Using the MongoDB shell.mp423.23MB
  • 06 Using non-relational data stores with Hadoop/049 Choosing a database technology.mp456.9MB
  • 06 Using non-relational data stores with Hadoop/050 Exercise Choose a database for a given problem.mp416.88MB
  • 07 Querying your Data Interactively/051 Overview of Drill.mp430.51MB
  • 07 Querying your Data Interactively/052 Activity Setting up Drill.mp434.04MB
  • 07 Querying your Data Interactively/053 Activity Querying across multiple databases with Drill.mp414.34MB
  • 07 Querying your Data Interactively/054 Overview of Phoenix.mp416.6MB
  • 07 Querying your Data Interactively/055 Activity Install Phoenix and query HBase with it.mp419.79MB
  • 07 Querying your Data Interactively/056 Activity Integrate Phoenix with Pig.mp434.36MB
  • 07 Querying your Data Interactively/057 Overview of Presto.mp422.46MB
  • 07 Querying your Data Interactively/058 Activity Install Presto and query Hive with it..mp442.24MB
  • 07 Querying your Data Interactively/059 Activity Query both Cassandra and Hive using Presto..mp434.59MB
  • 08 Managing your Cluster/060 YARN explained.mp424.45MB
  • 08 Managing your Cluster/061 Tez explained.mp48.61MB
  • 08 Managing your Cluster/062 Activity Use Hive on Tez and measure the performance benefit.mp428.27MB
  • 08 Managing your Cluster/063 Mesos explained.mp425.9MB
  • 08 Managing your Cluster/064 ZooKeeper explained.mp422.92MB
  • 08 Managing your Cluster/065 Activity Simulating a failing master with ZooKeeper.mp418.79MB
  • 08 Managing your Cluster/066 Oozie explained.mp421.48MB
  • 08 Managing your Cluster/067 Activity Set up a simple Oozie workflow.mp441.24MB
  • 08 Managing your Cluster/068 Zeppelin overview.mp421.21MB
  • 08 Managing your Cluster/069 Activity Use Zeppelin to analyze movie ratings part 1.mp424.29MB
  • 08 Managing your Cluster/070 Activity Use Zeppelin to analyze movie ratings part 2.mp424.54MB
  • 08 Managing your Cluster/071 Hue overview.mp416.09MB
  • 08 Managing your Cluster/072 Other technologies worth mentioning.mp416.34MB
  • 09 Feeding Data to your Cluster/073 Kafka explained.mp425.29MB
  • 09 Feeding Data to your Cluster/074 Activity Setting up Kafka and publishing some data..mp419.17MB
  • 09 Feeding Data to your Cluster/075 Activity Publishing web logs with Kafka.mp431.57MB
  • 09 Feeding Data to your Cluster/076 Flume explained.mp417.62MB
  • 09 Feeding Data to your Cluster/077 Activity Set up Flume and publish logs with it..mp418.97MB
  • 09 Feeding Data to your Cluster/078 Activity Set up Flume to monitor a directory and store its data in HDFS.mp430.63MB
  • 10 Analyzing Streams of Data/079 Spark Streaming Introduction.mp431.9MB
  • 10 Analyzing Streams of Data/080 Activity Analyze web logs published with Flume using Spark Streaming.mp440.27MB
  • 10 Analyzing Streams of Data/081 Exercise Monitor Flume-published logs for errors in real time.mp425MB
  • 10 Analyzing Streams of Data/082 Exercise solution Aggregating HTTP access codes with Spark Streaming.mp415.02MB
  • 10 Analyzing Streams of Data/083 Apache Storm Introduction.mp416.51MB
  • 10 Analyzing Streams of Data/084 Activity Count words with Storm.mp444.56MB
  • 10 Analyzing Streams of Data/085 Flink An Overview.mp412.33MB
  • 10 Analyzing Streams of Data/086 Activity Counting words with Flink.mp440.64MB
  • 11 Designing Real-World Systems/087 The Best of the Rest.mp416.21MB
  • 11 Designing Real-World Systems/088 Review How the pieces fit together.mp421.86MB
  • 11 Designing Real-World Systems/089 Understanding your requirements.mp414.28MB
  • 11 Designing Real-World Systems/090 Sample application consume webserver logs and keep track of top-sellers.mp418.23MB
  • 11 Designing Real-World Systems/091 Sample application serving movie recommendations to a website.mp419.72MB
  • 11 Designing Real-World Systems/092 Exercise Design a system to report web sessions per day.mp44.84MB
  • 11 Designing Real-World Systems/093 Exercise solution Design a system to count daily sessions.mp414.16MB
  • 12 Learning More/094 Books and online resources.mp460.06MB
  • 12 Learning More/095 Bonus lecture Discounts on my other big data data science courses.mp410.12MB