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Download [FreeCourseSite.com] Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data!

FreeCourseSite com Udemy The Ultimate Hands On Hadoop Tame your Big Data

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[FreeCourseSite.com] Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data!

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Total Size

3.8 GB

Total Files

100

Hash

338AA0CD8D70652FF4307703EDF0ED1D332C5ACE

/1 - Learn all the buzzwords! And install Hadoop/

Hadoop Overview and History.mp4

32.5 MB

Overview of Hadoop Ecosystem.mp4

95.0 MB

Tips for Using This Course.mp4

37.3 MB

[Activity] Introduction, and install Hadoop on your desktop!.mp4

147.1 MB

/10 - Analysing Streams of Data/

Apache Storm - Introduction.mp4

18.9 MB

Exercise solution - Aggregating HTTP access codes with Spark Streaming.mp4

28.8 MB

Flink - An Overview.mp4

14.6 MB

Spark Streaming - Introduction.mp4

45.1 MB

[Activity] Analyze web logs published with Flume using Spark streaming.mp4

73.4 MB

[Activity] Count words with Storm.mp4

69.6 MB

[Activity] Counting words with Flink.mp4

76.7 MB

[Exercise] Monitor Flume-published logs for errors in real time.mp4

54.6 MB

/11 - Designing Real-World Systems/

Exercise solution - Design a system to count daily sessions.mp4

19.0 MB

Review - How the pieces fit together.mp4

32.5 MB

Sample Application - consume web server logs and keep tracks of top-sellers.mp4

22.4 MB

Sample application - serving movie recommendations to a website.mp4

23.0 MB

The Best of the Rest.mp4

18.6 MB

Understanding your requirements.mp4

17.5 MB

[Exercise] Design a system to report web sessions per day.mp4

5.3 MB

/12 - Learning More/

Bonus lecture - Discounts on my other big data _ data science courses!.mp4

56.3 MB

Books and online resources.mp4

129.5 MB

/2 - Using Hadoop_s Core - HDFs and MapReduce/

HDFS - What it is, and how it works.mp4

43.2 MB

How MapReduce distributes processing.mp4

29.7 MB

MapReduce - What it is, and how it works.mp4

21.5 MB

MapReduce example - Break down movie ratings by rating score.mp4

26.0 MB

[Activity] Check your results against mine!.mp4

38.4 MB

[Activity] Code up the ratings histogram MapReduce job and run it.mp4

17.8 MB

[Activity] Install the MovieLens dataset into HDFS using the Ambari UI.mp4

50.1 MB

[Activity] Install the MovieLens dataset into HDFS using the command line.mp4

45.8 MB

[Activity] Installing Python, MRJob, and nano.mp4

35.2 MB

[Exercise] Rank Movies by their popularity.mp4

14.1 MB

/3 - Programming Hadoop with Pig/

Example - Find the oldest movie with 5-star rating using Pig.mp4

39.3 MB

Hands-on Hadoop.mp4

1.7 MB

Introducing Ambari.mp4

33.6 MB

Introducing Pig.mp4

27.5 MB

More Pig Latin.mp4

14.2 MB

Pig Challenge - Compare Your Results to Mine!.mp4

32.5 MB

[Activity] Find old 5-star movies with Pig.mp4

52.3 MB

[Exercise] Find the most-rated one-star movie.mp4

3.9 MB

/4 - Programming Hadoop with Spark/

Datasets and Spark 2.0.mp4

12.3 MB

The Resilient Distributed Datasets(RDD).mp4

16.4 MB

Why Spark.mp4

29.3 MB

[Activity] Check your results against mine!.mp4

49.3 MB

[Activity] Find the movie with the lowest average rating - with DataFrames.mp4

43.7 MB

[Activity] Find the movie with the lowest average rating - with RDD_s.mp4

63.5 MB

[Activity] Movie recommendations with MLLib.mp4

63.0 MB

[Exercise] Filter the lowest-rated movies by number of ratings.mp4

6.6 MB

/5 - Using relational data stores with Hadoop/

Compare your solution to mine.mp4

11.1 MB

How Hive Works.mp4

18.2 MB

Integrating MySQL with Hadoop.mp4

15.5 MB

What is Hive.mp4

24.8 MB

[Activity] Install MySQL and import our movie data.mp4

43.0 MB

[Activity] Use Hive to find the most popular movie.mp4

34.0 MB

[Activity] Use Sqoop to export data from Hadoop to MySQL.mp4

37.3 MB

[Activity] Use Sqoop to import data from MySQL to HFDS_Hive.mp4

32.3 MB

[Exercise] Use Hive to find the movie with the highest average rating.mp4

4.3 MB

/6 - Using non-relational data stores with Hadoop/

Cassandra Overview.mp4

45.5 MB

Choosing a database technology.mp4

95.8 MB

MongoDB overview.mp4

45.7 MB

What is HBase.mp4

25.0 MB

Why NoSQL.mp4

96.2 MB

[Activity] Import movie ratings into HBase.mp4

48.9 MB

[Activity] Install MongoDB, and integrate Spark with MongoDB.mp4

68.5 MB

[Activity] Installing Cassandra.mp4

54.7 MB

[Activity] Use HBase with Pig to import data at scale.mp4

53.4 MB

[Activity] Using the MongoDB shell.mp4

42.8 MB

[Activity] Write Spark output into Cassandra.mp4

60.2 MB

[Exercise] Choose a database for a given problem.mp4

29.0 MB

/7 - Querying Your Data Interactively/

Overview of Drill.mp4

47.0 MB

Overview of Phoenix.mp4

20.2 MB

Overview of Presto.mp4

39.1 MB

[Activity] Install Phoenix and query HBase with it.mp4

28.8 MB

[Activity] Install Presto, and query Hive with it.mp4

76.9 MB

[Activity] Integrate Phoenix with Pig.mp4

53.3 MB

[Activity] Query both Cassandra and Hive using Presto.mp4

57.3 MB

[Activity] Querying across multiple databases with Drill.mp4

17.2 MB

[Activity] Setting up Drill.mp4

60.3 MB

/8 - Managing your Cluster/

Hands-on Hadoop.mp4

1.7 MB

Hue Overview.mp4

20.1 MB

Mesos explained.mp4

43.2 MB

Oozie explained.mp4

26.5 MB

Other technologies worth mentioning.mp4

26.1 MB

Tez explained.mp4

9.7 MB

YARN Explained.mp4

36.1 MB

Zeppelin overview.mp4

41.9 MB

ZooKeeper explained.mp4

26.2 MB

[Activity] Set up a simple Oozie workflow.mp4

62.0 MB

[Activity] Simulating a failing master with ZooKeeper.mp4

30.3 MB

[Activity] Use Hive on Tez and measure the performance benefit.mp4

50.8 MB

[Activity] Use Zeppelin to analyze movie ratings, part 1.mp4

29.1 MB

[Activity] Use Zeppelin to analyze movie ratings, part 2.mp4

34.4 MB

/9 - Feeding Data to your Cluster/

Flume explained.mp4

18.7 MB

Kafka explained.mp4

38.9 MB

[Activity] Publishing web logs with Kafka.mp4

62.4 MB

[Activity] Set up Flume and publish logs with it.mp4

33.5 MB

[Activity] Set up Flume to monitor a directory and store its data in HDFS.mp4

58.5 MB

[Activity] Setting up Kafka, and publishing some data.mp4

31.0 MB

/

[CourseClub.NET].url

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[FCS Forum].url

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[FreeCourseSite.com].url

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Total files 100


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