[FreeCoursesOnline Me] [MANNING] The Ultimate Introduction to Big Data [FCO]
File List
| File | Size |
|---|---|
| 01 - Introduction, and install Hadoop on your desktop!.mp4 | 236.41 MB |
| 02 - Hadoop overview and history.mp4 | 107.71 MB |
| 03 - Overview of the Hadoop ecosystem.mp4 | 90.61 MB |
| 04 - Tips for using this course.mp4 | 28.03 MB |
| 05 - HDFS - what it is and how it works.mp4 | 49.12 MB |
| 06 - Install the MovieLens dataset into HDFS using the Ambari UI.mp4 | 47.81 MB |
| 07 - Install the MovieLens dataset into HDFS using the command line.mp4 | 52.43 MB |
| 08 - MapReduce - what it is and how it works.mp4 | 31.37 MB |
| 09 - How MapReduce distributes processing.mp4 | 47.57 MB |
| 10 - MapReduce example - break down movie ratings by rating score.mp4 | 40.07 MB |
| 11 - Installing Python, MRJob, and nano.mp4 | 40.97 MB |
| 12 - Code up the ratings histogram MapReduce job and run it.mp4 | 28.48 MB |
| 13 - Exercise - Rank movies by their popularity.mp4 | 21.03 MB |
| 14 - Check your results against mine!.mp4 | 49.14 MB |
| 15 - Introducing Ambari.mp4 | 39.35 MB |
| 16 - Introducing Pig.mp4 | 34.36 MB |
| 17 - Find the oldest movie with a 5-star rating using Pig.mp4 | 61.22 MB |
| 18 - Find old 5-star movies with Pig.mp4 | 52.17 MB |
| 19 - More Pig Latin.mp4 | 20.33 MB |
| 20 - Exercise - Find the most-rated, one-star movie.mp4 | 19.47 MB |
| 21 - Compare your results to mine!.mp4 | 39.18 MB |
| 22 - Why Spark.mp4 | 31.55 MB |
| 23 - The Resilient Distributed Dataset (RDD).mp4 | 20.58 MB |
| 24 - Find the movie with the lowest average rating with RDDs.mp4 | 94.68 MB |
| 25 - Datasets and Spark 2.0.mp4 | 17.39 MB |
| 26 - Find the movie with the lowest average rating wth DataFrames.mp4 | 65.13 MB |
| 27 - Movie recommendations with MLLib.mp4 | 90.08 MB |
| 28 - Exercise - Filter the lowest-rated movies by number of ratings.mp4 | 37.33 MB |
| 29 - Check your results against mine!.mp4 | 58.88 MB |
| 30 - What is Hive.mp4 | 33.99 MB |
| 31 - Use Hive to find the most popular movie.mp4 | 35.25 MB |
| 32 - How Hive works.mp4 | 26.48 MB |
| 33 - Exercise - Use Hive to find the movie with the highest average rating.mp4 | 24.24 MB |
| 34 - Compare your solution to mine.mp4 | 13.89 MB |
| 35 - Integrating MySQL with Hadoop.mp4 | 23.04 MB |
| 36 - Install MySQL and import our movie data.mp4 | 48.38 MB |
| 37 - Use Sqoop to import data from MySQL to HDFS_Hive.mp4 | 42.67 MB |
| 38 - Use Sqoop to export data from Hadoop to MySQL.mp4 | 47.43 MB |
| 39 - Why NoSQL.mp4 | 96.34 MB |
| 40 - What is HBase.mp4 | 36.43 MB |
| 41 - Import movie ratings into HBase.mp4 | 61.43 MB |
| 42 - Use HBase with Pig to import data at scale.mp4 | 63.81 MB |
| 43 - Cassandra overview.mp4 | 61.05 MB |
| 44 - Installing Cassandra.mp4 | 95.9 MB |
| 45 - Write Spark output into Cassandra.mp4 | 75.38 MB |
| 46 - MongoDB overview.mp4 | 65.64 MB |
| 47 - Install MongoDB and integrate it with Spark.mp4 | 84.6 MB |
| 48 - Using the MongoDB shell.mp4 | 52.38 MB |
| 49 - Choosing a database technology.mp4 | 91.35 MB |
| 50 - Choose a database for a given problem.mp4 | 27.62 MB |
| 51 - Overview of Drill.mp4 | 44.81 MB |
| 52 - Setting up Drill.mp4 | 63.52 MB |
| 53 - Querying across multiple databases.mp4 | 18.29 MB |
| 54 - Overview of Phoenix.mp4 | 33.84 MB |
| 55 - Install Phoenix and query HBase with it.mp4 | 45.87 MB |
| 56 - Integrate Phoenix with Pig.mp4 | 79.84 MB |
| 57 - Overview of Presto.mp4 | 37.29 MB |
| 58 - Install Presto and query Hive with it.mp4 | 85.38 MB |
| 59 - Query both Cassandra and Hive using Presto.mp4 | 69.74 MB |
| 60 - YARN explained.mp4 | 45.62 MB |
| 61 - Tez explained.mp4 | 14.02 MB |
| 62 - Use Hive on Tez and measure the performance benefit.mp4 | 48.46 MB |
| 63 - Mesos explained.mp4 | 41.22 MB |
| 64 - ZooKeeper explained.mp4 | 38.45 MB |
| 65 - Simulating a failing master with ZooKeeper.mp4 | 52.71 MB |
| 66 - Oozie explained.mp4 | 41.96 MB |
| 67 - Set up a simple Oozie workflow.mp4 | 82.45 MB |
| 68 - Zeppelin overview.mp4 | 39.98 MB |
| 69 - Use Zeppelin to analyze movie ratings, part 1.mp4 | 40.01 MB |
| 70 - Use Zeppelin to analyze movie ratings, part 2.mp4 | 35.33 MB |
| 71 - Hue overview.mp4 | 32.37 MB |
| 72 - Other technologies worth mentioning.mp4 | 27.64 MB |
| 73 - Kafka explained.mp4 | 46.29 MB |
| 74 - Setting up Kafka and publishing some data.mp4 | 43.32 MB |
| 75 - Publishing web logs with Kafka.mp4 | 77.74 MB |
| 76 - Flume explained.mp4 | 25.81 MB |
| 77 - Set up Flume and publish logs with it.mp4 | 40.12 MB |
| 78 - Set up Flume to monitor a directory and store its data in HDFS.mp4 | 68.26 MB |
| 79 - Spark Streaming - introduction.mp4 | 56.08 MB |
| 80 - Analyze web logs published with Flume using Spark Streaming.mp4 | 89.24 MB |
| 81 - Exercise - Monitor Flume-published logs for errors in real time.mp4 | 52.12 MB |
| 82 - Solution - Aggregating HTTP access codes with Spark Streaming.mp4 | 30.6 MB |
| 83 - Apache Storm - Introduction.mp4 | 28.83 MB |
| 84 - Count words with Storm.mp4 | 87.42 MB |
| 85 - Flink - an overview.mp4 | 22.37 MB |
| 86 - Counting words with Flink.mp4 | 73.9 MB |
| 87 - The best of the rest.mp4 | 28.72 MB |
| 88 - Review - how the pieces fit together.mp4 | 30.99 MB |
| 89 - Understanding your requirements.mp4 | 28.33 MB |
| 90 - Sample application - consume webserver logs and keep track of top sellers.mp4 | 37 MB |
| 91 - Sample application - serving movie recommendations to a website.mp4 | 35.57 MB |
| 92 - Exercise - Design a system to report web sessions per day.mp4 | 7.44 MB |
| 93 - Solution - Design a system to report daily sessions.mp4 | 31.47 MB |
| 94 - Books and online resources.mp4 | 60.75 MB |
| Discuss.FTUForum.com.html | 31.89 KB |
| FreeCoursesOnline.Me.html | 108.3 KB |
| FTUForum.com.html | 100.44 KB |
| How you can help Team-FTU.txt | 235 B |
| NulledPremium.com.url | 163 B |
| Torrent Downloaded From GloDls.to.txt | 84 B |
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