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[GigaCourse.com] Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data!

GigaCourseUdemyUltimateHands-OnHadoopTameyourData

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收录时间：2025-09-03

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文件列表：

  1. 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/4. Installing Hadoop [Step by Step].mp4182.45 Mb
  2. 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/7. Overview of the Hadoop Ecosystem.mp488.5 Mb
  3. 7. Querying your Data Interactively/2. [Activity] Setting up Drill.mp479.52 Mb
  4. 5. Using relational data stores with Hadoop/7. [Activity] Install MySQL and import our movie data.mp474.1 Mb
  5. 3. Programming Hadoop with Pig/4. [Activity] Find old 5-star movies with Pig.srt72.8 Mb
  6. 3. Programming Hadoop with Pig/4. [Activity] Find old 5-star movies with Pig.mp472.78 Mb
  7. 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/5. The Hortonworks and Cloudera Merger, and how it affects this course..mp466.4 Mb
  8. 2. Using Hadoop's Core HDFS and MapReduce/8. [Activity] Installing Python, MRJob, and nano.mp466.12 Mb
  9. 12. Learning More/1. Books and online resources.mp460.07 Mb
  10. 6. Using non-relational data stores with Hadoop/12. Choosing a database technology.mp456.91 Mb
  11. 6. Using non-relational data stores with Hadoop/1. Why NoSQL.mp451.48 Mb
  12. 4. Programming Hadoop with Spark/6. [Activity] Movie recommendations with MLLib.mp444.77 Mb
  13. 10. Analyzing Streams of Data/6. [Activity] Count words with Storm.mp444.57 Mb
  14. 7. Querying your Data Interactively/8. [Activity] Install Presto, and query Hive with it..mp442.25 Mb
  15. 8. Managing your Cluster/8. [Activity] Set up a simple Oozie workflow.mp441.25 Mb
  16. 10. Analyzing Streams of Data/8. [Activity] Counting words with Flink.mp440.65 Mb
  17. 10. Analyzing Streams of Data/2. [Activity] Analyze web logs published with Flume using Spark Streaming.mp440.28 Mb
  18. 6. Using non-relational data stores with Hadoop/10. [Activity] Install MongoDB, and integrate Spark with MongoDB.mp440.01 Mb
  19. 4. Programming Hadoop with Spark/3. [Activity] Find the movie with the lowest average rating - with RDD's.mp439.67 Mb
  20. 4. Programming Hadoop with Spark/8. [Activity] Check your results against mine!.mp438.74 Mb
  21. 6. Using non-relational data stores with Hadoop/7. [Activity] Installing Cassandra.mp436.85 Mb
  22. 7. Querying your Data Interactively/9. [Activity] Query both Cassandra and Hive using Presto..mp434.59 Mb
  23. 3. Programming Hadoop with Pig/3. Example Find the oldest movie with a 5-star rating using Pig.mp434.45 Mb
  24. 7. Querying your Data Interactively/6. [Activity] Integrate Phoenix with Pig.mp434.37 Mb
  25. 6. Using non-relational data stores with Hadoop/9. MongoDB overview.mp434.17 Mb
  26. 2. Using Hadoop's Core HDFS and MapReduce/11. [Activity] Check your results against mine!.mp433.78 Mb
  27. 6. Using non-relational data stores with Hadoop/8. [Activity] Write Spark output into Cassandra.mp433.72 Mb
  28. 6. Using non-relational data stores with Hadoop/4. [Activity] Use HBase with Pig to import data at scale..mp433.58 Mb
  29. 2. Using Hadoop's Core HDFS and MapReduce/3. [Activity] Install the MovieLens dataset into HDFS using the command line.mp433.19 Mb
  30. 4. Programming Hadoop with Spark/5. [Activity] Find the movie with the lowest average rating - with DataFrames.mp432.23 Mb
  31. 6. Using non-relational data stores with Hadoop/5. Cassandra overview.mp432.08 Mb
  32. 10. Analyzing Streams of Data/1. Spark Streaming Introduction.mp431.9 Mb
  33. 9. Feeding Data to your Cluster/3. [Activity] Publishing web logs with Kafka.mp431.58 Mb
  34. 2. Using Hadoop's Core HDFS and MapReduce/1. HDFS What it is, and how it works.mp431.44 Mb
  35. 6. Using non-relational data stores with Hadoop/3. [Activity] Import movie ratings into HBase.mp430.87 Mb
  36. 9. Feeding Data to your Cluster/6. [Activity] Set up Flume to monitor a directory and store its data in HDFS.mp430.63 Mb
  37. 4. Programming Hadoop with Spark/1. Why Spark.mp430.58 Mb
  38. 7. Querying your Data Interactively/1. Overview of Drill.mp430.52 Mb
  39. 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/6. Hadoop Overview and History.mp430.31 Mb
  40. 3. Programming Hadoop with Pig/2. Introducing Pig.mp429.33 Mb
  41. 3. Programming Hadoop with Pig/7. Pig Challenge Compare Your Results to Mine!.mp429.33 Mb
  42. 2. Using Hadoop's Core HDFS and MapReduce/2. Installing the MovieLens Dataset.mp429.2 Mb
  43. 8. Managing your Cluster/3. [Activity] Use Hive on Tez and measure the performance benefit.mp428.27 Mb
  44. 2. Using Hadoop's Core HDFS and MapReduce/5. How MapReduce distributes processing.mp427.63 Mb
  45. 8. Managing your Cluster/4. Mesos explained.mp425.9 Mb
  46. 9. Feeding Data to your Cluster/1. Kafka explained.mp425.3 Mb
  47. 10. Analyzing Streams of Data/3. [Exercise] Monitor Flume-published logs for errors in real time.mp425.01 Mb
  48. 8. Managing your Cluster/11. [Activity] Use Zeppelin to analyze movie ratings, part 2.mp424.54 Mb
  49. 8. Managing your Cluster/1. YARN explained.mp424.45 Mb
  50. 2. Using Hadoop's Core HDFS and MapReduce/6. MapReduce example Break down movie ratings by rating score.mp424.35 Mb
  51. 8. Managing your Cluster/10. [Activity] Use Zeppelin to analyze movie ratings, part 1.mp424.3 Mb
  52. 5. Using relational data stores with Hadoop/2. [Activity] Use Hive to find the most popular movie.mp423.86 Mb
  53. 6. Using non-relational data stores with Hadoop/11. [Activity] Using the MongoDB shell.mp423.24 Mb
  54. 8. Managing your Cluster/5. ZooKeeper explained.mp422.92 Mb
  55. 5. Using relational data stores with Hadoop/9. [Activity] Use Sqoop to export data from Hadoop to MySQL.mp422.66 Mb
  56. 7. Querying your Data Interactively/7. Overview of Presto.mp422.47 Mb
  57. 6. Using non-relational data stores with Hadoop/2. What is HBase.mp422.32 Mb
  58. 11. Designing Real-World Systems/2. Review How the pieces fit together.mp421.87 Mb
  59. 5. Using relational data stores with Hadoop/8. [Activity] Use Sqoop to import data from MySQL to HFDSHive.mp421.58 Mb
  60. 8. Managing your Cluster/7. Oozie explained.mp421.48 Mb
  61. 8. Managing your Cluster/9. Zeppelin overview.mp421.21 Mb
  62. 2. Using Hadoop's Core HDFS and MapReduce/4. MapReduce What it is, and how it works.mp421.2 Mb
  63. 7. Querying your Data Interactively/5. [Activity] Install Phoenix and query HBase with it.mp419.8 Mb
  64. 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/1. Udemy 101 Getting the Most From This Course.mp419.74 Mb
  65. 11. Designing Real-World Systems/5. Sample application serving movie recommendations to a website.mp419.73 Mb
  66. 9. Feeding Data to your Cluster/2. [Activity] Setting up Kafka, and publishing some data..mp419.18 Mb
  67. 9. Feeding Data to your Cluster/5. [Activity] Set up Flume and publish logs with it..mp418.97 Mb
  68. 8. Managing your Cluster/6. [Activity] Simulating a failing master with ZooKeeper.mp418.8 Mb
  69. 11. Designing Real-World Systems/4. Sample application consume webserver logs and keep track of top-sellers.mp418.24 Mb
  70. 4. Programming Hadoop with Spark/2. The Resilient Distributed Dataset (RDD).mp418.17 Mb
  71. 9. Feeding Data to your Cluster/4. Flume explained.mp417.63 Mb
  72. 6. Using non-relational data stores with Hadoop/13. [Exercise] Choose a database for a given problem.mp416.89 Mb
  73. 7. Querying your Data Interactively/4. Overview of Phoenix.mp416.6 Mb
  74. 10. Analyzing Streams of Data/5. Apache Storm Introduction.mp416.52 Mb
  75. 5. Using relational data stores with Hadoop/1. What is Hive.mp416.42 Mb
  76. 8. Managing your Cluster/13. Other technologies worth mentioning.mp416.34 Mb
  77. 11. Designing Real-World Systems/1. The Best of the Rest.mp416.21 Mb
  78. 8. Managing your Cluster/12. Hue overview.mp416.1 Mb
  79. 3. Programming Hadoop with Pig/1. Introducing Ambari.mp416.03 Mb
  80. 5. Using relational data stores with Hadoop/3. How Hive works.mp415.94 Mb
  81. 10. Analyzing Streams of Data/4. Exercise solution Aggregating HTTP access codes with Spark Streaming.srt15.04 Mb
  82. 10. Analyzing Streams of Data/4. Exercise solution Aggregating HTTP access codes with Spark Streaming.mp415.03 Mb
  83. 3. Programming Hadoop with Pig/5. More Pig Latin.mp414.46 Mb
  84. 7. Querying your Data Interactively/3. [Activity] Querying across multiple databases with Drill.mp414.34 Mb
  85. 11. Designing Real-World Systems/3. Understanding your requirements.mp414.29 Mb
  86. 11. Designing Real-World Systems/7. Exercise solution Design a system to count daily sessions.mp414.17 Mb
  87. 2. Using Hadoop's Core HDFS and MapReduce/9. [Activity] Code up the ratings histogram MapReduce job and run it.mp414.12 Mb
  88. 5. Using relational data stores with Hadoop/6. Integrating MySQL with Hadoop.mp413.93 Mb
  89. 2. Using Hadoop's Core HDFS and MapReduce/10. [Exercise] Rank movies by their popularity.mp413.82 Mb
  90. 4. Programming Hadoop with Spark/4. Datasets and Spark 2.0.mp412.37 Mb
  91. 10. Analyzing Streams of Data/7. Flink An Overview.mp412.34 Mb
  92. 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/2. Tips for Using This Course.mp411.46 Mb
  93. 8. Managing your Cluster/2. Tez explained.mp48.61 Mb
  94. 5. Using relational data stores with Hadoop/5. Compare your solution to mine..mp48.47 Mb
  95. 4. Programming Hadoop with Spark/7. [Exercise] Filter the lowest-rated movies by number of ratings.mp45.96 Mb
  96. 11. Designing Real-World Systems/6. [Exercise] Design a system to report web sessions per day.mp44.84 Mb
  97. 3. Programming Hadoop with Pig/6. [Exercise] Find the most-rated one-star movie.mp43.77 Mb
  98. 5. Using relational data stores with Hadoop/4. [Exercise] Use Hive to find the movie with the highest average rating.mp43.42 Mb
  99. 3. Programming Hadoop with Pig/1. Introducing Ambari.srt3.12 Mb
  100. 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/4.1 VirtualBoxTroubleshooting.pdf410.88 Kb
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