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Название [GigaCourse.com] Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data!
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1. Books and online resources.mp4 60.07Мб
1. Books and online resources.srt 9.89Кб
1. HDFS What it is, and how it works.mp4 31.44Мб
1. HDFS What it is, and how it works.srt 22.68Кб
1. Introducing Ambari.mp4 16.03Мб
1. Introducing Ambari.srt 3.12Мб
1. Kafka explained.mp4 25.30Мб
1. Kafka explained.srt 16.74Кб
1. Overview of Drill.mp4 30.52Мб
1. Overview of Drill.srt 13.65Кб
1. Spark Streaming Introduction.mp4 31.90Мб
1. Spark Streaming Introduction.srt 23.78Кб
1. The Best of the Rest.mp4 16.21Мб
1. The Best of the Rest.srt 15.33Кб
1. Udemy 101 Getting the Most From This Course.mp4 19.74Мб
1. Udemy 101 Getting the Most From This Course.srt 4.04Кб
1. What is Hive.mp4 16.42Мб
1. What is Hive.srt 11.28Кб
1. Why NoSQL.mp4 51.48Мб
1. Why NoSQL.srt 24.02Кб
1. Why Spark.mp4 30.58Мб
1. Why Spark.srt 16.55Кб
1. YARN explained.mp4 24.45Мб
1. YARN explained.srt 16.91Кб
10. [Activity] Install MongoDB, and integrate Spark with MongoDB.mp4 40.01Мб
10. [Activity] Install MongoDB, and integrate Spark with MongoDB.srt 16.82Кб
10. [Activity] Use Zeppelin to analyze movie ratings, part 1.mp4 24.30Мб
10. [Activity] Use Zeppelin to analyze movie ratings, part 1.srt 17.86Кб
10. [Exercise] Rank movies by their popularity.mp4 13.82Мб
10. [Exercise] Rank movies by their popularity.srt 12.02Кб
11. [Activity] Check your results against mine!.mp4 33.78Мб
11. [Activity] Check your results against mine!.srt 13.75Кб
11. [Activity] Use Zeppelin to analyze movie ratings, part 2.mp4 24.54Мб
11. [Activity] Use Zeppelin to analyze movie ratings, part 2.srt 14.42Кб
11. [Activity] Using the MongoDB shell.mp4 23.24Мб
11. [Activity] Using the MongoDB shell.srt 11.01Кб
12. Choosing a database technology.mp4 56.91Мб
12. Choosing a database technology.srt 27.86Кб
12. Hue overview.mp4 16.10Мб
12. Hue overview.srt 12.95Кб
13. [Exercise] Choose a database for a given problem.mp4 16.89Мб
13. [Exercise] Choose a database for a given problem.srt 8.39Кб
13. Other technologies worth mentioning.mp4 16.34Мб
13. Other technologies worth mentioning.srt 8.03Кб
2. [Activity] Analyze web logs published with Flume using Spark Streaming.mp4 40.28Мб
2. [Activity] Analyze web logs published with Flume using Spark Streaming.srt 20.91Кб
2. [Activity] Setting up Drill.mp4 79.52Мб
2. [Activity] Setting up Drill.srt 16.71Кб
2. [Activity] Setting up Kafka, and publishing some data..mp4 19.18Мб
2. [Activity] Setting up Kafka, and publishing some data..srt 9.97Кб
2. [Activity] Use Hive to find the most popular movie.mp4 23.86Мб
2. [Activity] Use Hive to find the most popular movie.srt 17.10Кб
2.1 Materials, tips, and tricks for the course.html 106б
2. Bonus Lecture More courses to explore!.html 6.24Кб
2. Installing the MovieLens Dataset.mp4 29.20Мб
2. Installing the MovieLens Dataset.srt 9.69Кб
2. Introducing Pig.mp4 29.33Мб
2. Introducing Pig.srt 10.53Кб
2. Review How the pieces fit together.mp4 21.87Мб
2. Review How the pieces fit together.srt 10.42Кб
2. Tez explained.mp4 8.61Мб
2. Tez explained.srt 8.29Кб
2. The Resilient Distributed Dataset (RDD).mp4 18.17Мб
2. The Resilient Distributed Dataset (RDD).srt 16.19Кб
2. Tips for Using This Course.mp4 11.46Мб
2. Tips for Using This Course.srt 3.42Кб
2. What is HBase.mp4 22.32Мб
2. What is HBase.srt 20.58Кб
3. [Activity] Find the movie with the lowest average rating - with RDD's.mp4 39.67Мб
3. [Activity] Find the movie with the lowest average rating - with RDD's.srt 22.45Кб
3. [Activity] Import movie ratings into HBase.mp4 30.87Мб
3. [Activity] Import movie ratings into HBase.srt 19.93Кб
3. [Activity] Install the MovieLens dataset into HDFS using the command line.mp4 33.19Мб
3. [Activity] Install the MovieLens dataset into HDFS using the command line.srt 11.62Кб
3. [Activity] Publishing web logs with Kafka.mp4 31.58Мб
3. [Activity] Publishing web logs with Kafka.srt 13.72Кб
3. [Activity] Querying across multiple databases with Drill.mp4 14.34Мб
3. [Activity] Querying across multiple databases with Drill.srt 10.07Кб
3. [Activity] Use Hive on Tez and measure the performance benefit.mp4 28.27Мб
3. [Activity] Use Hive on Tez and measure the performance benefit.srt 13.01Кб
3. [Exercise] Monitor Flume-published logs for errors in real time.mp4 25.01Мб
3. [Exercise] Monitor Flume-published logs for errors in real time.srt 3.25Кб
3. Example Find the oldest movie with a 5-star rating using Pig.mp4 34.45Мб
3. Example Find the oldest movie with a 5-star rating using Pig.srt 24.25Кб
3. How Hive works.mp4 15.94Мб
3. How Hive works.srt 15.20Кб
3. If you have trouble downloading Hortonworks Data Platform....html 1.41Кб
3. Understanding your requirements.mp4 14.29Мб
3. Understanding your requirements.srt 13.94Кб
4. [Activity] Find old 5-star movies with Pig.mp4 72.78Мб
4. [Activity] Find old 5-star movies with Pig.srt 72.80Мб
4. [Activity] Use HBase with Pig to import data at scale..mp4 33.58Мб
4. [Activity] Use HBase with Pig to import data at scale..srt 16.43Кб
4. [Exercise] Use Hive to find the movie with the highest average rating.mp4 3.42Мб
4. [Exercise] Use Hive to find the movie with the highest average rating.srt 3.28Кб
4.1 pig.txt 802б
4.1 VirtualBoxTroubleshooting.pdf 410.88Кб
4. Datasets and Spark 2.0.mp4 12.37Мб
4. Datasets and Spark 2.0.srt 9.88Кб
4. Exercise solution Aggregating HTTP access codes with Spark Streaming.mp4 15.03Мб
4. Exercise solution Aggregating HTTP access codes with Spark Streaming.srt 15.04Мб
4. Flume explained.mp4 17.63Мб
4. Flume explained.srt 16.64Кб
4. Installing Hadoop [Step by Step].mp4 182.45Мб
4. Installing Hadoop [Step by Step].srt 33.07Кб
4. MapReduce What it is, and how it works.mp4 21.20Мб
4. MapReduce What it is, and how it works.srt 17.69Кб
4. Mesos explained.mp4 25.90Мб
4. Mesos explained.srt 11.67Кб
4. Overview of Phoenix.mp4 16.60Мб
4. Overview of Phoenix.srt 14.92Кб
4. Sample application consume webserver logs and keep track of top-sellers.mp4 18.24Мб
4. Sample application consume webserver logs and keep track of top-sellers.srt 16.91Кб
5. [Activity] Find the movie with the lowest average rating - with DataFrames.mp4 32.23Мб
5. [Activity] Find the movie with the lowest average rating - with DataFrames.srt 14.37Кб
5. [Activity] Install Phoenix and query HBase with it.mp4 19.80Мб
5. [Activity] Install Phoenix and query HBase with it.srt 10.38Кб
5. [Activity] Set up Flume and publish logs with it..mp4 18.97Мб
5. [Activity] Set up Flume and publish logs with it..srt 11.66Кб
5. Apache Storm Introduction.mp4 16.52Мб
5. Apache Storm Introduction.srt 15.65Кб
5. Cassandra overview.mp4 32.08Мб
5. Cassandra overview.srt 24.94Кб
5. Compare your solution to mine..mp4 8.47Мб
5. Compare your solution to mine..srt 7.16Кб
5. How MapReduce distributes processing.mp4 27.63Мб
5. How MapReduce distributes processing.srt 21.17Кб
5. More Pig Latin.mp4 14.46Мб
5. More Pig Latin.srt 12.92Кб
5. Sample application serving movie recommendations to a website.mp4 19.73Мб
5. Sample application serving movie recommendations to a website.srt 19.02Кб
5. The Hortonworks and Cloudera Merger, and how it affects this course..mp4 66.40Мб
5. The Hortonworks and Cloudera Merger, and how it affects this course..srt 5.42Кб
5. ZooKeeper explained.mp4 22.92Мб
5. ZooKeeper explained.srt 22.32Кб
6. [Activity] Count words with Storm.mp4 44.57Мб
6. [Activity] Count words with Storm.srt 21.51Кб
6. [Activity] Integrate Phoenix with Pig.mp4 34.37Мб
6. [Activity] Integrate Phoenix with Pig.srt 17.26Кб
6. [Activity] Movie recommendations with MLLib.mp4 44.77Мб
6. [Activity] Movie recommendations with MLLib.srt 19.23Кб
6. [Activity] Set up Flume to monitor a directory and store its data in HDFS.mp4 30.63Мб
6. [Activity] Set up Flume to monitor a directory and store its data in HDFS.srt 13.93Кб
6. [Activity] Simulating a failing master with ZooKeeper.mp4 18.80Мб
6. [Activity] Simulating a failing master with ZooKeeper.srt 10.97Кб
6. [Exercise] Design a system to report web sessions per day.mp4 4.84Мб
6. [Exercise] Design a system to report web sessions per day.srt 4.55Кб
6. [Exercise] Find the most-rated one-star movie.mp4 3.77Мб
6. [Exercise] Find the most-rated one-star movie.srt 3.09Кб
6. Hadoop Overview and History.mp4 30.31Мб
6. Hadoop Overview and History.srt 12.83Кб
6. If you have trouble installing Cassandra....html 1.57Кб
6. Integrating MySQL with Hadoop.mp4 13.93Мб
6. Integrating MySQL with Hadoop.srt 12.98Кб
6. MapReduce example Break down movie ratings by rating score.mp4 24.35Мб
6. MapReduce example Break down movie ratings by rating score.srt 19.52Кб
7. [Activity] Installing Cassandra.mp4 36.85Мб
7. [Activity] Installing Cassandra.srt 15.47Кб
7. [Activity] Install MySQL and import our movie data.mp4 74.10Мб
7. [Activity] Install MySQL and import our movie data.srt 11.97Кб
7. [Exercise] Filter the lowest-rated movies by number of ratings.mp4 5.96Мб
7. [Exercise] Filter the lowest-rated movies by number of ratings.srt 4.51Кб
7. Exercise solution Design a system to count daily sessions.mp4 14.17Мб
7. Exercise solution Design a system to count daily sessions.srt 7.97Кб
7. Flink An Overview.mp4 12.34Мб
7. Flink An Overview.srt 11.65Кб
7. Oozie explained.mp4 21.48Мб
7. Oozie explained.srt 19.85Кб
7. Overview of Presto.mp4 22.47Мб
7. Overview of Presto.srt 10.53Кб
7. Overview of the Hadoop Ecosystem.mp4 88.50Мб
7. Overview of the Hadoop Ecosystem.srt 26.51Кб
7. Pig Challenge Compare Your Results to Mine!.mp4 29.33Мб
7. Pig Challenge Compare Your Results to Mine!.srt 9.45Кб
7. Troubleshooting tips installing pip and mrjob.html 863б
8. [Activity] Check your results against mine!.mp4 38.74Мб
8. [Activity] Check your results against mine!.srt 9.78Кб
8. [Activity] Counting words with Flink.mp4 40.65Мб
8. [Activity] Counting words with Flink.srt 17.03Кб
8. [Activity] Installing Python, MRJob, and nano.mp4 66.12Мб
8. [Activity] Installing Python, MRJob, and nano.srt 14.79Кб
8. [Activity] Install Presto, and query Hive with it..mp4 42.25Мб
8. [Activity] Install Presto, and query Hive with it..srt 19.24Кб
8. [Activity] Set up a simple Oozie workflow.mp4 41.25Мб
8. [Activity] Set up a simple Oozie workflow.srt 23.36Кб
8. [Activity] Use Sqoop to import data from MySQL to HFDSHive.mp4 21.58Мб
8. [Activity] Use Sqoop to import data from MySQL to HFDSHive.srt 10.71Кб
8. [Activity] Write Spark output into Cassandra.mp4 33.72Мб
8. [Activity] Write Spark output into Cassandra.srt 16.12Кб
9. [Activity] Code up the ratings histogram MapReduce job and run it.mp4 14.12Мб
9. [Activity] Code up the ratings histogram MapReduce job and run it.srt 11.85Кб
9. [Activity] Query both Cassandra and Hive using Presto..mp4 34.59Мб
9. [Activity] Query both Cassandra and Hive using Presto..srt 12.81Кб
9. [Activity] Use Sqoop to export data from Hadoop to MySQL.mp4 22.66Мб
9. [Activity] Use Sqoop to export data from Hadoop to MySQL.srt 10.13Кб
9. MongoDB overview.mp4 34.17Мб
9. MongoDB overview.srt 27.24Кб
9. Zeppelin overview.mp4 21.21Мб
9. Zeppelin overview.srt 8.91Кб
Readme.txt 962б
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