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种子名称： [DesireCourse.Net] Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data!
文件类型： 视频
文件数目： 96个文件
文件大小： 2.79 GB
收录时间： 2024-3-17 11:07
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资源热度： 235
最近下载： 2024-12-23 23:30

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[DesireCourse.Net] Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data!.torrent

1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/1. Udemy 101 Getting the Most From This Course.mp419.74MB

1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/2. Tips for Using This Course.mp411.46MB

1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/4. Installing Hadoop [Step by Step].mp4182.45MB

1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/5. The Hortonworks and Cloudera Merger, and how it affects this course..mp466.4MB

1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/6. Hadoop Overview and History.mp430.31MB

1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/7. Overview of the Hadoop Ecosystem.mp488.5MB

10. Analyzing Streams of Data/1. Spark Streaming Introduction.mp431.9MB

10. Analyzing Streams of Data/2. [Activity] Analyze web logs published with Flume using Spark Streaming.mp440.28MB

10. Analyzing Streams of Data/3. [Exercise] Monitor Flume-published logs for errors in real time.mp425.01MB

10. Analyzing Streams of Data/4. Exercise solution Aggregating HTTP access codes with Spark Streaming.mp415.03MB

10. Analyzing Streams of Data/5. Apache Storm Introduction.mp416.52MB

10. Analyzing Streams of Data/6. [Activity] Count words with Storm.mp444.57MB

10. Analyzing Streams of Data/7. Flink An Overview.mp412.34MB

10. Analyzing Streams of Data/8. [Activity] Counting words with Flink.mp440.65MB

11. Designing Real-World Systems/1. The Best of the Rest.mp416.21MB

11. Designing Real-World Systems/2. Review How the pieces fit together.mp421.87MB

11. Designing Real-World Systems/3. Understanding your requirements.mp414.29MB

11. Designing Real-World Systems/4. Sample application consume webserver logs and keep track of top-sellers.mp418.24MB

11. Designing Real-World Systems/5. Sample application serving movie recommendations to a website.mp419.73MB

11. Designing Real-World Systems/6. [Exercise] Design a system to report web sessions per day.mp44.84MB

11. Designing Real-World Systems/7. Exercise solution Design a system to count daily sessions.mp414.17MB

12. Learning More/1. Books and online resources.mp460.07MB

2. Using Hadoop's Core HDFS and MapReduce/1. HDFS What it is, and how it works.mp431.44MB

2. Using Hadoop's Core HDFS and MapReduce/10. [Exercise] Rank movies by their popularity.mp413.82MB

2. Using Hadoop's Core HDFS and MapReduce/11. [Activity] Check your results against mine!.mp433.78MB

2. Using Hadoop's Core HDFS and MapReduce/2. Installing the MovieLens Dataset.mp429.2MB

2. Using Hadoop's Core HDFS and MapReduce/3. [Activity] Install the MovieLens dataset into HDFS using the command line.mp433.19MB

2. Using Hadoop's Core HDFS and MapReduce/4. MapReduce What it is, and how it works.mp421.2MB

2. Using Hadoop's Core HDFS and MapReduce/5. How MapReduce distributes processing.mp427.63MB

2. Using Hadoop's Core HDFS and MapReduce/6. MapReduce example Break down movie ratings by rating score.mp424.35MB

2. Using Hadoop's Core HDFS and MapReduce/8. [Activity] Installing Python, MRJob, and nano.mp466.12MB

2. Using Hadoop's Core HDFS and MapReduce/9. [Activity] Code up the ratings histogram MapReduce job and run it.mp414.12MB

3. Programming Hadoop with Pig/1. Introducing Ambari.mp416.03MB

3. Programming Hadoop with Pig/2. Introducing Pig.mp429.33MB

3. Programming Hadoop with Pig/3. Example Find the oldest movie with a 5-star rating using Pig.mp434.45MB

3. Programming Hadoop with Pig/4. [Activity] Find old 5-star movies with Pig.mp472.78MB

3. Programming Hadoop with Pig/5. More Pig Latin.mp414.46MB

3. Programming Hadoop with Pig/6. [Exercise] Find the most-rated one-star movie.mp43.77MB

3. Programming Hadoop with Pig/7. Pig Challenge Compare Your Results to Mine!.mp429.33MB

4. Programming Hadoop with Spark/1. Why Spark.mp430.58MB

4. Programming Hadoop with Spark/2. The Resilient Distributed Dataset (RDD).mp418.17MB

4. Programming Hadoop with Spark/3. [Activity] Find the movie with the lowest average rating - with RDD's.mp439.67MB

4. Programming Hadoop with Spark/4. Datasets and Spark 2.0.mp412.37MB

4. Programming Hadoop with Spark/5. [Activity] Find the movie with the lowest average rating - with DataFrames.mp432.23MB

4. Programming Hadoop with Spark/6. [Activity] Movie recommendations with MLLib.mp444.77MB

4. Programming Hadoop with Spark/7. [Exercise] Filter the lowest-rated movies by number of ratings.mp45.96MB

4. Programming Hadoop with Spark/8. [Activity] Check your results against mine!.mp438.74MB

5. Using relational data stores with Hadoop/1. What is Hive.mp416.42MB

5. Using relational data stores with Hadoop/2. [Activity] Use Hive to find the most popular movie.mp423.86MB

5. Using relational data stores with Hadoop/3. How Hive works.mp415.94MB

5. Using relational data stores with Hadoop/4. [Exercise] Use Hive to find the movie with the highest average rating.mp43.42MB

5. Using relational data stores with Hadoop/5. Compare your solution to mine..mp48.47MB

5. Using relational data stores with Hadoop/6. Integrating MySQL with Hadoop.mp413.93MB

5. Using relational data stores with Hadoop/7. [Activity] Install MySQL and import our movie data.mp474.1MB

5. Using relational data stores with Hadoop/8. [Activity] Use Sqoop to import data from MySQL to HFDSHive.mp421.58MB

5. Using relational data stores with Hadoop/9. [Activity] Use Sqoop to export data from Hadoop to MySQL.mp422.66MB

6. Using non-relational data stores with Hadoop/1. Why NoSQL.mp451.48MB

6. Using non-relational data stores with Hadoop/10. [Activity] Install MongoDB, and integrate Spark with MongoDB.mp440.01MB

6. Using non-relational data stores with Hadoop/11. [Activity] Using the MongoDB shell.mp423.24MB

6. Using non-relational data stores with Hadoop/12. Choosing a database technology.mp456.91MB

6. Using non-relational data stores with Hadoop/13. [Exercise] Choose a database for a given problem.mp416.89MB

6. Using non-relational data stores with Hadoop/2. What is HBase.mp422.32MB

6. Using non-relational data stores with Hadoop/3. [Activity] Import movie ratings into HBase.mp430.87MB

6. Using non-relational data stores with Hadoop/4. [Activity] Use HBase with Pig to import data at scale..mp433.58MB

6. Using non-relational data stores with Hadoop/5. Cassandra overview.mp432.08MB

6. Using non-relational data stores with Hadoop/7. [Activity] Installing Cassandra.mp436.85MB

6. Using non-relational data stores with Hadoop/8. [Activity] Write Spark output into Cassandra.mp433.72MB

6. Using non-relational data stores with Hadoop/9. MongoDB overview.mp434.17MB

7. Querying your Data Interactively/1. Overview of Drill.mp430.52MB

7. Querying your Data Interactively/2. [Activity] Setting up Drill.mp479.52MB

7. Querying your Data Interactively/3. [Activity] Querying across multiple databases with Drill.mp414.34MB

7. Querying your Data Interactively/4. Overview of Phoenix.mp416.6MB

7. Querying your Data Interactively/5. [Activity] Install Phoenix and query HBase with it.mp419.8MB

7. Querying your Data Interactively/6. [Activity] Integrate Phoenix with Pig.mp434.37MB

7. Querying your Data Interactively/7. Overview of Presto.mp422.47MB

7. Querying your Data Interactively/8. [Activity] Install Presto, and query Hive with it..mp442.25MB

7. Querying your Data Interactively/9. [Activity] Query both Cassandra and Hive using Presto..mp434.59MB

8. Managing your Cluster/1. YARN explained.mp424.45MB

8. Managing your Cluster/10. [Activity] Use Zeppelin to analyze movie ratings, part 1.mp424.3MB

8. Managing your Cluster/11. [Activity] Use Zeppelin to analyze movie ratings, part 2.mp424.54MB

8. Managing your Cluster/12. Hue overview.mp416.1MB

8. Managing your Cluster/13. Other technologies worth mentioning.mp416.34MB

8. Managing your Cluster/2. Tez explained.mp48.61MB

8. Managing your Cluster/3. [Activity] Use Hive on Tez and measure the performance benefit.mp428.27MB

8. Managing your Cluster/4. Mesos explained.mp425.9MB

8. Managing your Cluster/5. ZooKeeper explained.mp422.92MB

8. Managing your Cluster/6. [Activity] Simulating a failing master with ZooKeeper.mp418.8MB

8. Managing your Cluster/7. Oozie explained.mp421.48MB

8. Managing your Cluster/8. [Activity] Set up a simple Oozie workflow.mp441.25MB

8. Managing your Cluster/9. Zeppelin overview.mp421.21MB

9. Feeding Data to your Cluster/1. Kafka explained.mp425.3MB

9. Feeding Data to your Cluster/2. [Activity] Setting up Kafka, and publishing some data..mp419.18MB

9. Feeding Data to your Cluster/3. [Activity] Publishing web logs with Kafka.mp431.58MB

9. Feeding Data to your Cluster/4. Flume explained.mp417.63MB

9. Feeding Data to your Cluster/5. [Activity] Set up Flume and publish logs with it..mp418.97MB

9. Feeding Data to your Cluster/6. [Activity] Set up Flume to monitor a directory and store its data in HDFS.mp430.63MB