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

磁力链接/BT种子名称

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

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种子哈希：4367d3119e0c552c5a619f04081d103bd2acc798
文件大小： 2.58G
已经下载：858次
下载速度：极快
收录时间：2022-02-16
最近下载：2025-11-02

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文件列表

  • 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/3. Installing Hadoop [Step by Step].mp4 188.7 MB
  • 7. Querying your Data Interactively/2. [Activity] Setting up Drill.mp4 90.0 MB
  • 5. Using relational data stores with Hadoop/7. [Activity] Install MySQL and import our movie data.mp4 77.7 MB
  • 2. Using Hadoop's Core HDFS and MapReduce/7. [Activity] Installing Python, MRJob, and nano.mp4 69.3 MB
  • 12. Learning More/1. Books and online resources.mp4 63.0 MB
  • 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/5. Overview of the Hadoop Ecosystem.mp4 62.9 MB
  • 6. Using non-relational data stores with Hadoop/11. Choosing a database technology.mp4 59.7 MB
  • 6. Using non-relational data stores with Hadoop/1. Why NoSQL.mp4 54.0 MB
  • 10. Analyzing Streams of Data/6. [Activity] Count words with Storm.mp4 46.7 MB
  • 7. Querying your Data Interactively/8. [Activity] Install Presto, and query Hive with it..mp4 44.3 MB
  • 8. Managing your Cluster/8. [Activity] Set up a simple Oozie workflow.mp4 43.3 MB
  • 10. Analyzing Streams of Data/8. [Activity] Counting words with Flink.mp4 42.6 MB
  • 10. Analyzing Streams of Data/2. [Activity] Analyze web logs published with Flume using Spark Streaming.mp4 42.2 MB
  • 6. Using non-relational data stores with Hadoop/9. [Activity] Install MongoDB, and integrate Spark with MongoDB.mp4 42.0 MB
  • 4. Programming Hadoop with Spark/3. [Activity] Find the movie with the lowest average rating - with RDD's.mp4 41.6 MB
  • 6. Using non-relational data stores with Hadoop/6. [Activity] Installing Cassandra.mp4 38.6 MB
  • 7. Querying your Data Interactively/9. [Activity] Query both Cassandra and Hive using Presto..mp4 36.3 MB
  • 7. Querying your Data Interactively/6. [Activity] Integrate Phoenix with Pig.mp4 36.0 MB
  • 6. Using non-relational data stores with Hadoop/8. MongoDB overview.mp4 35.8 MB
  • 4. Programming Hadoop with Spark/6. [Activity] Movie recommendations with MLLib.mp4 35.6 MB
  • 6. Using non-relational data stores with Hadoop/7. [Activity] Write Spark output into Cassandra.mp4 35.3 MB
  • 6. Using non-relational data stores with Hadoop/4. [Activity] Use HBase with Pig to import data at scale..mp4 35.2 MB
  • 6. Using non-relational data stores with Hadoop/5. Cassandra overview.mp4 33.6 MB
  • 10. Analyzing Streams of Data/1. Spark Streaming Introduction.mp4 33.5 MB
  • 9. Feeding Data to your Cluster/3. [Activity] Publishing web logs with Kafka.mp4 33.1 MB
  • 2. Using Hadoop's Core HDFS and MapReduce/1. HDFS What it is, and how it works.mp4 33.0 MB
  • 6. Using non-relational data stores with Hadoop/3. [Activity] Import movie ratings into HBase.mp4 32.4 MB
  • 9. Feeding Data to your Cluster/6. [Activity] Set up Flume to monitor a directory and store its data in HDFS.mp4 32.1 MB
  • 7. Querying your Data Interactively/1. Overview of Drill.mp4 32.0 MB
  • 3. Programming Hadoop with Pig/3. Example Find the oldest movie with a 5-star rating using Pig.mp4 31.0 MB
  • 8. Managing your Cluster/3. [Activity] Use Hive on Tez and measure the performance benefit.mp4 29.6 MB
  • 3. Programming Hadoop with Pig/4. [Activity] Find old 5-star movies with Pig.mp4 28.8 MB
  • 8. Managing your Cluster/4. Mesos explained.mp4 27.2 MB
  • 9. Feeding Data to your Cluster/1. Kafka explained.mp4 26.5 MB
  • 4. Programming Hadoop with Spark/5. [Activity] Find the movie with the lowest average rating - with DataFrames.mp4 26.5 MB
  • 10. Analyzing Streams of Data/3. [Exercise] Monitor Flume-published logs for errors in real time.mp4 26.2 MB
  • 2. Using Hadoop's Core HDFS and MapReduce/3. [Activity] Install the MovieLens dataset into HDFS using the command line.mp4 25.8 MB
  • 8. Managing your Cluster/11. [Activity] Use Zeppelin to analyze movie ratings, part 2.mp4 25.7 MB
  • 8. Managing your Cluster/1. YARN explained.mp4 25.7 MB
  • 4. Programming Hadoop with Spark/8. [Activity] Check your results against mine!.mp4 25.6 MB
  • 8. Managing your Cluster/10. [Activity] Use Zeppelin to analyze movie ratings, part 1.mp4 25.5 MB
  • 2. Using Hadoop's Core HDFS and MapReduce/5. How MapReduce distributes processing.mp4 25.2 MB
  • 5. Using relational data stores with Hadoop/2. [Activity] Use Hive to find the most popular movie.mp4 25.0 MB
  • 6. Using non-relational data stores with Hadoop/10. [Activity] Using the MongoDB shell.mp4 24.4 MB
  • 8. Managing your Cluster/5. ZooKeeper explained.mp4 24.0 MB
  • 5. Using relational data stores with Hadoop/9. [Activity] Use Sqoop to export data from Hadoop to MySQL.mp4 23.8 MB
  • 7. Querying your Data Interactively/7. Overview of Presto.mp4 23.6 MB
  • 2. Using Hadoop's Core HDFS and MapReduce/2. Installing the MovieLens Dataset.vtt 23.5 MB
  • 2. Using Hadoop's Core HDFS and MapReduce/2. Installing the MovieLens Dataset.mp4 23.5 MB
  • 6. Using non-relational data stores with Hadoop/2. What is HBase.mp4 23.4 MB
  • 2. Using Hadoop's Core HDFS and MapReduce/10. [Activity] Check your results against mine!.mp4 23.2 MB
  • 11. Designing Real-World Systems/2. Review How the pieces fit together.mp4 22.9 MB
  • 5. Using relational data stores with Hadoop/8. [Activity] Use Sqoop to import data from MySQL to HFDSHive.mp4 22.6 MB
  • 8. Managing your Cluster/7. Oozie explained.mp4 22.5 MB
  • 2. Using Hadoop's Core HDFS and MapReduce/6. MapReduce example Break down movie ratings by rating score.mp4 22.4 MB
  • 8. Managing your Cluster/9. Zeppelin overview.mp4 22.2 MB
  • 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/4. Hadoop Overview and History.mp4 21.9 MB
  • 4. Programming Hadoop with Spark/1. Why Spark.mp4 21.7 MB
  • 7. Querying your Data Interactively/5. [Activity] Install Phoenix and query HBase with it.mp4 20.8 MB
  • 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/1. Udemy 101 Getting the Most From This Course.mp4 20.7 MB
  • 11. Designing Real-World Systems/5. Sample application serving movie recommendations to a website.mp4 20.7 MB
  • 9. Feeding Data to your Cluster/2. [Activity] Setting up Kafka, and publishing some data..mp4 20.1 MB
  • 9. Feeding Data to your Cluster/5. [Activity] Set up Flume and publish logs with it..mp4 19.9 MB
  • 2. Using Hadoop's Core HDFS and MapReduce/4. MapReduce What it is, and how it works.mp4 19.8 MB
  • 8. Managing your Cluster/6. [Activity] Simulating a failing master with ZooKeeper.mp4 19.7 MB
  • 11. Designing Real-World Systems/4. Sample application consume webserver logs and keep track of top-sellers.mp4 19.1 MB
  • 3. Programming Hadoop with Pig/7. Pig Challenge Compare Your Results to Mine!.mp4 18.9 MB
  • 9. Feeding Data to your Cluster/4. Flume explained.mp4 18.5 MB
  • 3. Programming Hadoop with Pig/2. Introducing Pig.mp4 17.7 MB
  • 6. Using non-relational data stores with Hadoop/12. [Exercise] Choose a database for a given problem.mp4 17.7 MB
  • 4. Programming Hadoop with Spark/2. The Resilient Distributed Dataset (RDD).vtt 17.6 MB
  • 4. Programming Hadoop with Spark/2. The Resilient Distributed Dataset (RDD).mp4 17.5 MB
  • 7. Querying your Data Interactively/4. Overview of Phoenix.mp4 17.4 MB
  • 10. Analyzing Streams of Data/5. Apache Storm Introduction.mp4 17.3 MB
  • 5. Using relational data stores with Hadoop/1. What is Hive.mp4 17.2 MB
  • 8. Managing your Cluster/13. Other technologies worth mentioning.mp4 17.1 MB
  • 11. Designing Real-World Systems/1. The Best of the Rest.mp4 17.0 MB
  • 8. Managing your Cluster/12. Hue overview.mp4 16.9 MB
  • 3. Programming Hadoop with Pig/1. Introducing Ambari.mp4 16.8 MB
  • 5. Using relational data stores with Hadoop/3. How Hive works.mp4 16.7 MB
  • 10. Analyzing Streams of Data/4. Exercise solution Aggregating HTTP access codes with Spark Streaming.mp4 15.8 MB
  • 7. Querying your Data Interactively/3. [Activity] Querying across multiple databases with Drill.mp4 15.0 MB
  • 11. Designing Real-World Systems/3. Understanding your requirements.mp4 15.0 MB
  • 11. Designing Real-World Systems/7. Exercise solution Design a system to count daily sessions.mp4 14.9 MB
  • 2. Using Hadoop's Core HDFS and MapReduce/8. [Activity] Code up the ratings histogram MapReduce job and run it.mp4 14.8 MB
  • 5. Using relational data stores with Hadoop/6. Integrating MySQL with Hadoop.mp4 14.6 MB
  • 3. Programming Hadoop with Pig/5. More Pig Latin.mp4 13.6 MB
  • 10. Analyzing Streams of Data/7. Flink An Overview.mp4 12.9 MB
  • 2. Using Hadoop's Core HDFS and MapReduce/9. [Exercise] Rank movies by their popularity.mp4 12.9 MB
  • 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/2. Tips for Using This Course.mp4 12.0 MB
  • 4. Programming Hadoop with Spark/4. Datasets and Spark 2.0.mp4 11.6 MB
  • 8. Managing your Cluster/2. Tez explained.mp4 9.0 MB
  • 5. Using relational data stores with Hadoop/5. Compare your solution to mine..mp4 8.9 MB
  • 4. Programming Hadoop with Spark/7. [Exercise] Filter the lowest-rated movies by number of ratings.mp4 5.5 MB
  • 11. Designing Real-World Systems/6. [Exercise] Design a system to report web sessions per day.mp4 5.1 MB
  • 5. Using relational data stores with Hadoop/4. [Exercise] Use Hive to find the movie with the highest average rating.mp4 3.6 MB
  • 3. Programming Hadoop with Pig/6. [Exercise] Find the most-rated one-star movie.mp4 3.6 MB
  • 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/3.1 VirtualBoxTroubleshooting.pdf.pdf 420.7 kB
  • 6. Using non-relational data stores with Hadoop/11. Choosing a database technology.vtt 25.1 kB
  • 6. Using non-relational data stores with Hadoop/8. MongoDB overview.vtt 24.6 kB
  • 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/5. Overview of the Hadoop Ecosystem.vtt 24.6 kB
  • 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/3. Installing Hadoop [Step by Step].vtt 24.2 kB
  • 6. Using non-relational data stores with Hadoop/5. Cassandra overview.vtt 22.5 kB
  • 3. Programming Hadoop with Pig/3. Example Find the oldest movie with a 5-star rating using Pig.vtt 22.5 kB
  • 6. Using non-relational data stores with Hadoop/1. Why NoSQL.vtt 21.7 kB
  • 8. Managing your Cluster/8. [Activity] Set up a simple Oozie workflow.vtt 21.5 kB
  • 10. Analyzing Streams of Data/1. Spark Streaming Introduction.vtt 21.5 kB
  • 2. Using Hadoop's Core HDFS and MapReduce/1. HDFS What it is, and how it works.vtt 21.1 kB
  • 4. Programming Hadoop with Spark/3. [Activity] Find the movie with the lowest average rating - with RDD's.vtt 20.7 kB
  • 8. Managing your Cluster/5. ZooKeeper explained.vtt 20.2 kB
  • 2. Using Hadoop's Core HDFS and MapReduce/5. How MapReduce distributes processing.vtt 19.7 kB
  • 10. Analyzing Streams of Data/6. [Activity] Count words with Storm.vtt 19.2 kB
  • 10. Analyzing Streams of Data/2. [Activity] Analyze web logs published with Flume using Spark Streaming.vtt 18.7 kB
  • 6. Using non-relational data stores with Hadoop/2. What is HBase.vtt 18.6 kB
  • 2. Using Hadoop's Core HDFS and MapReduce/6. MapReduce example Break down movie ratings by rating score.vtt 18.1 kB
  • 6. Using non-relational data stores with Hadoop/3. [Activity] Import movie ratings into HBase.vtt 17.9 kB
  • 8. Managing your Cluster/7. Oozie explained.vtt 17.9 kB
  • 4. Programming Hadoop with Spark/6. [Activity] Movie recommendations with MLLib.vtt 17.8 kB
  • 7. Querying your Data Interactively/8. [Activity] Install Presto, and query Hive with it..vtt 17.7 kB
  • 11. Designing Real-World Systems/5. Sample application serving movie recommendations to a website.vtt 17.2 kB
  • 2. Using Hadoop's Core HDFS and MapReduce/4. MapReduce What it is, and how it works.vtt 16.3 kB
  • 8. Managing your Cluster/10. [Activity] Use Zeppelin to analyze movie ratings, part 1.vtt 16.0 kB
  • 7. Querying your Data Interactively/6. [Activity] Integrate Phoenix with Pig.vtt 15.8 kB
  • 4. Programming Hadoop with Spark/1. Why Spark.vtt 15.4 kB
  • 5. Using relational data stores with Hadoop/2. [Activity] Use Hive to find the most popular movie.vtt 15.4 kB
  • 8. Managing your Cluster/1. YARN explained.vtt 15.3 kB
  • 11. Designing Real-World Systems/4. Sample application consume webserver logs and keep track of top-sellers.vtt 15.2 kB
  • 9. Feeding Data to your Cluster/4. Flume explained.vtt 15.2 kB
  • 9. Feeding Data to your Cluster/1. Kafka explained.vtt 15.1 kB
  • 10. Analyzing Streams of Data/8. [Activity] Counting words with Flink.vtt 15.1 kB
  • 6. Using non-relational data stores with Hadoop/9. [Activity] Install MongoDB, and integrate Spark with MongoDB.vtt 15.0 kB
  • 3. Programming Hadoop with Pig/1. Introducing Ambari.vtt 14.9 kB
  • 6. Using non-relational data stores with Hadoop/4. [Activity] Use HBase with Pig to import data at scale..vtt 14.7 kB
  • 7. Querying your Data Interactively/2. [Activity] Setting up Drill.vtt 14.4 kB
  • 6. Using non-relational data stores with Hadoop/7. [Activity] Write Spark output into Cassandra.vtt 14.4 kB
  • 10. Analyzing Streams of Data/5. Apache Storm Introduction.vtt 14.2 kB
  • 3. Programming Hadoop with Pig/4. [Activity] Find old 5-star movies with Pig.vtt 14.1 kB
  • 7. Querying your Data Interactively/4. Overview of Phoenix.vtt 13.9 kB
  • 11. Designing Real-World Systems/1. The Best of the Rest.vtt 13.8 kB
  • 6. Using non-relational data stores with Hadoop/6. [Activity] Installing Cassandra.vtt 13.8 kB
  • 2. Using Hadoop's Core HDFS and MapReduce/7. [Activity] Installing Python, MRJob, and nano.vtt 13.7 kB
  • 5. Using relational data stores with Hadoop/3. How Hive works.vtt 13.7 kB
  • 4. Programming Hadoop with Spark/5. [Activity] Find the movie with the lowest average rating - with DataFrames.vtt 13.4 kB
  • 8. Managing your Cluster/11. [Activity] Use Zeppelin to analyze movie ratings, part 2.vtt 12.8 kB
  • 2. Using Hadoop's Core HDFS and MapReduce/10. [Activity] Check your results against mine!.vtt 12.7 kB
  • 7. Querying your Data Interactively/1. Overview of Drill.vtt 12.7 kB
  • 11. Designing Real-World Systems/3. Understanding your requirements.vtt 12.6 kB
  • 9. Feeding Data to your Cluster/6. [Activity] Set up Flume to monitor a directory and store its data in HDFS.vtt 12.4 kB
  • 9. Feeding Data to your Cluster/3. [Activity] Publishing web logs with Kafka.vtt 12.3 kB
  • 3. Programming Hadoop with Pig/5. More Pig Latin.vtt 12.0 kB
  • 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/4. Hadoop Overview and History.vtt 12.0 kB
  • 5. Using relational data stores with Hadoop/6. Integrating MySQL with Hadoop.vtt 11.8 kB
  • 7. Querying your Data Interactively/9. [Activity] Query both Cassandra and Hive using Presto..vtt 11.8 kB
  • 8. Managing your Cluster/12. Hue overview.vtt 11.7 kB
  • 8. Managing your Cluster/3. [Activity] Use Hive on Tez and measure the performance benefit.vtt 11.6 kB
  • 2. Using Hadoop's Core HDFS and MapReduce/9. [Exercise] Rank movies by their popularity.vtt 11.2 kB
  • 2. Using Hadoop's Core HDFS and MapReduce/3. [Activity] Install the MovieLens dataset into HDFS using the command line.vtt 10.7 kB
  • 8. Managing your Cluster/4. Mesos explained.vtt 10.7 kB
  • 2. Using Hadoop's Core HDFS and MapReduce/8. [Activity] Code up the ratings histogram MapReduce job and run it.vtt 10.7 kB
  • 5. Using relational data stores with Hadoop/7. [Activity] Install MySQL and import our movie data.vtt 10.7 kB
  • 10. Analyzing Streams of Data/7. Flink An Overview.vtt 10.6 kB
  • 9. Feeding Data to your Cluster/5. [Activity] Set up Flume and publish logs with it..vtt 10.4 kB
  • 5. Using relational data stores with Hadoop/1. What is Hive.vtt 10.2 kB
  • 6. Using non-relational data stores with Hadoop/10. [Activity] Using the MongoDB shell.vtt 9.9 kB
  • 7. Querying your Data Interactively/7. Overview of Presto.vtt 9.9 kB
  • 3. Programming Hadoop with Pig/2. Introducing Pig.vtt 9.8 kB
  • 8. Managing your Cluster/6. [Activity] Simulating a failing master with ZooKeeper.vtt 9.8 kB
  • 5. Using relational data stores with Hadoop/8. [Activity] Use Sqoop to import data from MySQL to HFDSHive.vtt 9.6 kB
  • 7. Querying your Data Interactively/5. [Activity] Install Phoenix and query HBase with it.vtt 9.6 kB
  • 11. Designing Real-World Systems/2. Review How the pieces fit together.vtt 9.5 kB
  • 7. Querying your Data Interactively/3. [Activity] Querying across multiple databases with Drill.vtt 9.3 kB
  • 4. Programming Hadoop with Spark/4. Datasets and Spark 2.0.vtt 9.2 kB
  • 4. Programming Hadoop with Spark/8. [Activity] Check your results against mine!.vtt 9.1 kB
  • 5. Using relational data stores with Hadoop/9. [Activity] Use Sqoop to export data from Hadoop to MySQL.vtt 9.0 kB
  • 12. Learning More/1. Books and online resources.vtt 9.0 kB
  • 9. Feeding Data to your Cluster/2. [Activity] Setting up Kafka, and publishing some data..vtt 8.9 kB
  • 3. Programming Hadoop with Pig/7. Pig Challenge Compare Your Results to Mine!.vtt 8.7 kB
  • 8. Managing your Cluster/9. Zeppelin overview.vtt 8.1 kB
  • 6. Using non-relational data stores with Hadoop/12. [Exercise] Choose a database for a given problem.vtt 7.7 kB
  • 8. Managing your Cluster/2. Tez explained.vtt 7.5 kB
  • 8. Managing your Cluster/13. Other technologies worth mentioning.vtt 7.3 kB
  • 11. Designing Real-World Systems/7. Exercise solution Design a system to count daily sessions.vtt 7.2 kB
  • 12. Learning More/2. Bonus Lecture Discounts to continue your journey!.html 6.9 kB
  • 5. Using relational data stores with Hadoop/5. Compare your solution to mine..vtt 6.4 kB
  • 10. Analyzing Streams of Data/4. Exercise solution Aggregating HTTP access codes with Spark Streaming.vtt 6.4 kB
  • 4. Programming Hadoop with Spark/7. [Exercise] Filter the lowest-rated movies by number of ratings.vtt 4.2 kB
  • 11. Designing Real-World Systems/6. [Exercise] Design a system to report web sessions per day.vtt 4.1 kB
  • 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/1. Udemy 101 Getting the Most From This Course.vtt 3.6 kB
  • 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/2. Tips for Using This Course.vtt 3.2 kB
  • 5. Using relational data stores with Hadoop/4. [Exercise] Use Hive to find the movie with the highest average rating.vtt 3.0 kB
  • 10. Analyzing Streams of Data/3. [Exercise] Monitor Flume-published logs for errors in real time.vtt 2.9 kB
  • 3. Programming Hadoop with Pig/6. [Exercise] Find the most-rated one-star movie.vtt 2.9 kB
  • [FreeCourseLab.com].url 126 Bytes
  • 1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/2.1 Materials, tips, and tricks for the course.html 106 Bytes

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