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[FreeCoursesOnline Me] [MANNING] The Ultimate Introduction to Big Data [FCO]
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01 - Introduction, and install Hadoop on your desktop!.mp4 (Size: 4.57 GB) (Files: 100)
01 - Introduction, and install Hadoop on your desktop!.mp4
02 - Hadoop overview and history.mp4
03 - Overview of the Hadoop ecosystem.mp4
04 - Tips for using this course.mp4
05 - HDFS - what it is and how it works.mp4
06 - Install the MovieLens dataset into HDFS using the Ambari UI.mp4
07 - Install the MovieLens dataset into HDFS using the command line.mp4
08 - MapReduce - what it is and how it works.mp4
09 - How MapReduce distributes processing.mp4
10 - MapReduce example - break down movie ratings by rating score.mp4
11 - Installing Python, MRJob, and nano.mp4
12 - Code up the ratings histogram MapReduce job and run it.mp4
13 - Exercise - Rank movies by their popularity.mp4
14 - Check your results against mine!.mp4
15 - Introducing Ambari.mp4
16 - Introducing Pig.mp4
17 - Find the oldest movie with a 5-star rating using Pig.mp4
18 - Find old 5-star movies with Pig.mp4
19 - More Pig Latin.mp4
20 - Exercise - Find the most-rated, one-star movie.mp4
21 - Compare your results to mine!.mp4
22 - Why Spark.mp4
23 - The Resilient Distributed Dataset (RDD).mp4
24 - Find the movie with the lowest average rating with RDDs.mp4
25 - Datasets and Spark 2.0.mp4
26 - Find the movie with the lowest average rating wth DataFrames.mp4
27 - Movie recommendations with MLLib.mp4
28 - Exercise - Filter the lowest-rated movies by number of ratings.mp4
29 - Check your results against mine!.mp4
30 - What is Hive.mp4
31 - Use Hive to find the most popular movie.mp4
32 - How Hive works.mp4
33 - Exercise - Use Hive to find the movie with the highest average rating.mp4
34 - Compare your solution to mine.mp4
35 - Integrating MySQL with Hadoop.mp4
36 - Install MySQL and import our movie data.mp4
37 - Use Sqoop to import data from MySQL to HDFS_Hive.mp4
38 - Use Sqoop to export data from Hadoop to MySQL.mp4
39 - Why NoSQL.mp4
40 - What is HBase.mp4
41 - Import movie ratings into HBase.mp4
42 - Use HBase with Pig to import data at scale.mp4
43 - Cassandra overview.mp4
44 - Installing Cassandra.mp4
45 - Write Spark output into Cassandra.mp4
46 - MongoDB overview.mp4
47 - Install MongoDB and integrate it with Spark.mp4
48 - Using the MongoDB shell.mp4
49 - Choosing a database technology.mp4
50 - Choose a database for a given problem.mp4
51 - Overview of Drill.mp4
52 - Setting up Drill.mp4
53 - Querying across multiple databases.mp4
54 - Overview of Phoenix.mp4
55 - Install Phoenix and query HBase with it.mp4
56 - Integrate Phoenix with Pig.mp4
57 - Overview of Presto.mp4
58 - Install Presto and query Hive with it.mp4
59 - Query both Cassandra and Hive using Presto.mp4
60 - YARN explained.mp4
61 - Tez explained.mp4
62 - Use Hive on Tez and measure the performance benefit.mp4
63 - Mesos explained.mp4
64 - ZooKeeper explained.mp4
65 - Simulating a failing master with ZooKeeper.mp4
66 - Oozie explained.mp4
67 - Set up a simple Oozie workflow.mp4
68 - Zeppelin overview.mp4
69 - Use Zeppelin to analyze movie ratings, part 1.mp4
70 - Use Zeppelin to analyze movie ratings, part 2.mp4
71 - Hue overview.mp4
72 - Other technologies worth mentioning.mp4
73 - Kafka explained.mp4
74 - Setting up Kafka and publishing some data.mp4
75 - Publishing web logs with Kafka.mp4
76 - Flume explained.mp4
77 - Set up Flume and publish logs with it.mp4
78 - Set up Flume to monitor a directory and store its data in HDFS.mp4
79 - Spark Streaming - introduction.mp4
80 - Analyze web logs published with Flume using Spark Streaming.mp4
81 - Exercise - Monitor Flume-published logs for errors in real time.mp4
82 - Solution - Aggregating HTTP access codes with Spark Streaming.mp4
83 - Apache Storm - Introduction.mp4
84 - Count words with Storm.mp4
85 - Flink - an overview.mp4
86 - Counting words with Flink.mp4
87 - The best of the rest.mp4
88 - Review - how the pieces fit together.mp4
89 - Understanding your requirements.mp4
90 - Sample application - consume webserver logs and keep track of top sellers.mp4
91 - Sample application - serving movie recommendations to a website.mp4
92 - Exercise - Design a system to report web sessions per day.mp4
93 - Solution - Design a system to report daily sessions.mp4
94 - Books and online resources.mp4
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