OR70 | F18E73FB7DAEEEDA9406F2753459851C283859B5

OR70

Name	OR70	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	4.5 GB
Total Files	96
Hash	F18E73FB7DAEEEDA9406F2753459851C283859B5

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01 - [Activity] Introduction, and install Hadoop on your desktop!.mp4	147.1 MB
02 - Hadoop Overview and History.mp4	42.7 MB
03 - Overview of Hadoop Ecosystem.mp4	104.7 MB
04 - Tips for Using This Course.mp4	37.3 MB
05 - HDFS - What it is, and how it works.mp4	47.5 MB
06 - [Activity] Install the MovieLens dataset into HDFS using the Ambari UI.mp4	50.1 MB
07 - [Activity] Install the MovieLens dataset into HDFS using the command line.mp4	57.2 MB
08 - MapReduce - What it is, and how it works.mp4	26.0 MB
09 - How MapReduce distributes processing.mp4	36.4 MB
10 - MapReduce example - Break down movie ratings by rating score.mp4	31.2 MB
11 - [Activity] Installing Python, MRJob, and nano.mp4	41.9 MB
12 - [Activity] Code up the ratings histogram MapReduce job and run it.mp4	21.6 MB
13 - [Exercise] Rank Movies by their popularity.mp4	17.1 MB
14 - [Activity] Check your results against mine!.mp4	51.6 MB
15 - Introducing Ambari.mp4	37.2 MB
16 - Introducing Pig.mp4	27.7 MB
17 - Example - Find the oldest movie with 5-star rating using Pig.mp4	46.5 MB
18 - [Activity] Find old 5-star movies with Pig.mp4	64.0 MB
19 - More Pig Latin.mp4	16.8 MB
20 - [Exercise] Find the most-rated one-star movie.mp4	5.0 MB
21 - Pig Challenge - Compare Your Results to Mine!.mp4	44.3 MB
22 - Why Spark.mp4	29.3 MB
23 - The Resilient Distributed Datasets(RDD).mp4	18.5 MB
24 - [Activity] Find the movie with the lowest average rating - with RDD's.mp4	73.4 MB
25 - Datasets and Spark 2.0.mp4	14.8 MB
26 - [Activity] Find the movie with the lowest average rating - with DataFrames.mp4	50.9 MB
27 - [Activity] Movie recommendations with MLLib.mp4	72.6 MB
28 - [Exercise] Filter the lowest-rated movies by number of ratings.mp4	9.5 MB
29 - [Activity] Check your results against mine!.mp4	65.7 MB
30 - What is Hive.mp4	23.2 MB
31 - [Activity] Use Hive to find the most popular movie.mp4	37.5 MB
32 - How Hive Works.mp4	22.1 MB
33 - [Exercise] Use Hive to find the movie with the highest average rating.mp4	5.2 MB
34 - Compare your solution to mine.mp4	13.0 MB
35 - Integrating MySQL with Hadoop.mp4	18.9 MB
36 - [Activity] Install MySQL and import our movie data.mp4	44.2 MB
37 - [Activity] Use Sqoop to import data from MySQL to HFDS_Hive.mp4	35.9 MB
38 - [Activity] Use Sqoop to export data from Hadoop to MySQL.mp4	53.9 MB
39 - Why NoSQL.mp4	96.2 MB
40 - What is HBase.mp4	30.4 MB
41 - [Activity] Import movie ratings into HBase.mp4	71.0 MB
42 - [Activity] Use HBase with Pig to import data at scale.mp4	80.7 MB
43 - Cassandra Overview.mp4	50.8 MB
44 - [Activity] Installing Cassandra.mp4	63.7 MB
45 - [Activity] Write Spark output into Cassandra.mp4	76.2 MB
46 - MongoDB overview.mp4	53.7 MB
47 - [Activity] Install MongoDB, and integrate Spark with MongoDB.mp4	88.6 MB
48 - [Activity] Using the MongoDB shell.mp4	59.5 MB
49 - Choosing a database technology.mp4	112.8 MB
50 - [Exercise] Choose a database for a given problem.mp4	33.9 MB
51 - Overview of Drill.mp4	54.2 MB
52 - [Activity] Setting up Drill.mp4	67.7 MB
53 - [Activity] Querying across multiple databases with Drill.mp4	20.5 MB
54 - Overview of Phoenix.mp4	24.5 MB
55 - [Activity] Install Phoenix and query HBase with it.mp4	34.2 MB
56 - [Activity] Integrate Phoenix with Pig.mp4	59.6 MB
57 - Overview of Presto.mp4	45.1 MB
58 - [Activity] Install Presto, and query Hive with it.mp4	90.1 MB
59 - [Activity] Query both Cassandra and Hive using Presto.mp4	76.4 MB
60 - YARN Explained.mp4	37.2 MB
61 - Tez explained.mp4	11.7 MB
62 - [Activity] Use Hive on Tez and measure the performance benefit.mp4	57.9 MB
63 - Mesos explained.mp4	49.7 MB
64 - ZooKeeper explained.mp4	31.9 MB
65 - [Activity] Simulating a failing master with ZooKeeper.mp4	34.7 MB
66 - Oozie explained.mp4	32.8 MB
67 - [Activity] Set up a simple Oozie workflow.mp4	70.3 MB
68 - Zeppelin overview.mp4	41.9 MB
69 - [Activity] Use Zeppelin to analyze movie ratings, part 1.mp4	33.9 MB
70 - [Activity] Use Zeppelin to analyze movie ratings, part 2.mp4	46.4 MB
71 - Hue Overview.mp4	26.5 MB
72 - Other technologies worth mentioning.mp4	36.8 MB
73 - Kafka explained.mp4	38.9 MB
74 - [Activity] Setting up Kafka, and publishing some data.mp4	35.4 MB
75 - [Activity] Publishing web logs with Kafka.mp4	78.9 MB
76 - Flume explained.mp4	22.0 MB
77 - [Activity] Set up Flume and publish logs with it.mp4	48.7 MB
78 - [Activity] Set up Flume to monitor a directory and store its data in HDFS.mp4	74.0 MB
79 - Spark Streaming - Introduction.mp4	46.5 MB
80 - [Activity] Analyze web logs published with Flume using Spark streaming.mp4	91.8 MB
81 - [Exercise] Monitor Flume-published logs for errors in real time.mp4	54.6 MB
82 - Exercise solution - Aggregating HTTP access codes with Spark Streaming.mp4	31.9 MB
83 - Apache Storm - Introduction.mp4	23.7 MB
84 - [Activity] Count words with Storm.mp4	91.1 MB
85 - Flink - An Overview.mp4	18.1 MB
86 - [Activity] Counting words with Flink.mp4	106.0 MB
87 - The Best of the Rest.mp4	23.5 MB
88 - Review - How the pieces fit together.mp4	32.5 MB
89 - Understanding your requirements.mp4	22.5 MB
90 - Sample Application - consume web server logs and keep tracks of top-sellers.mp4	26.5 MB
91 - Sample application - serving movie recommendations to a website.mp4	29.2 MB
92 - [Exercise] Design a system to report web sessions per day.mp4	6.2 MB
93 - Exercise solution - Design a system to count daily sessions.mp4	26.2 MB
94 - Books and online resources.mp4	140.1 MB
95 - Bonus lecture - Discounts on my other big data _ data science courses!.mp4	56.3 MB
Torrent_downloaded_from_Demonoid.is_.txt	0.1 KB
Total files 96