[FreeCourseLab com] Udemy The Ultimate Hands On Hadoop Tame your Big Data! Torrent Download Locations

[FreeCourseLab.com] Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data!
    1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox
          1. Udemy 101 Getting the Most From This Course.mp4 -

          1. Udemy 101 Getting the Most From This Course.vtt -

          2. Tips for Using This Course.mp4 -

          2. Tips for Using This Course.vtt -

          2.1 Materials, tips, and tricks for the course.html -

          3. Installing Hadoop [Step by Step].mp4 -

          3. Installing Hadoop [Step by Step].vtt -

          3.1 VirtualBoxTroubleshooting.pdf.pdf -

          4. Hadoop Overview and History.mp4 -

          4. Hadoop Overview and History.vtt -

          5. Overview of the Hadoop Ecosystem.mp4 -

          5. Overview of the Hadoop Ecosystem.vtt -

    10. Analyzing Streams of Data
          1. Spark Streaming Introduction.mp4 -

          1. Spark Streaming Introduction.vtt -

          2. [Activity] Analyze web logs published with Flume using Spark Streaming.mp4 -

          2. [Activity] Analyze web logs published with Flume using Spark Streaming.vtt -

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

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

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

          4. Exercise solution Aggregating HTTP access codes with Spark Streaming.vtt -

          5. Apache Storm Introduction.mp4 -

          5. Apache Storm Introduction.vtt -

          6. [Activity] Count words with Storm.mp4 -

          6. [Activity] Count words with Storm.vtt -

          7. Flink An Overview.mp4 -

          7. Flink An Overview.vtt -

          8. [Activity] Counting words with Flink.mp4 -

          8. [Activity] Counting words with Flink.vtt -

    11. Designing Real-World Systems
          1. The Best of the Rest.mp4 -

          1. The Best of the Rest.vtt -

          2. Review How the pieces fit together.mp4 -

          2. Review How the pieces fit together.vtt -

          3. Understanding your requirements.mp4 -

          3. Understanding your requirements.vtt -

          4. Sample application consume webserver logs and keep track of top-sellers.mp4 -

          4. Sample application consume webserver logs and keep track of top-sellers.vtt -

          5. Sample application serving movie recommendations to a website.mp4 -

          5. Sample application serving movie recommendations to a website.vtt -

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

          6. [Exercise] Design a system to report web sessions per day.vtt -

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

          7. Exercise solution Design a system to count daily sessions.vtt -

    12. Learning More
          1. Books and online resources.mp4 -

          1. Books and online resources.vtt -

          2. Bonus Lecture Discounts to continue your journey!.html -

    2. Using Hadoop's Core HDFS and MapReduce
          1. HDFS What it is, and how it works.mp4 -

          1. HDFS What it is, and how it works.vtt -

          10. [Activity] Check your results against mine!.mp4 -

          10. [Activity] Check your results against mine!.vtt -

          2. Installing the MovieLens Dataset.mp4 -

          2. Installing the MovieLens Dataset.vtt -

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

          3. [Activity] Install the MovieLens dataset into HDFS using the command line.vtt -

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

          4. MapReduce What it is, and how it works.vtt -

          5. How MapReduce distributes processing.mp4 -

          5. How MapReduce distributes processing.vtt -

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

          6. MapReduce example Break down movie ratings by rating score.vtt -

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

          7. [Activity] Installing Python, MRJob, and nano.vtt -

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

          8. [Activity] Code up the ratings histogram MapReduce job and run it.vtt -

          9. [Exercise] Rank movies by their popularity.mp4 -

          9. [Exercise] Rank movies by their popularity.vtt -

    3. Programming Hadoop with Pig
          1. Introducing Ambari.mp4 -

          1. Introducing Ambari.vtt -

          2. Introducing Pig.mp4 -

          2. Introducing Pig.vtt -

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

          3. Example Find the oldest movie with a 5-star rating using Pig.vtt -

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

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

          5. More Pig Latin.mp4 -

          5. More Pig Latin.vtt -

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

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

          7. Pig Challenge Compare Your Results to Mine!.mp4 -

          7. Pig Challenge Compare Your Results to Mine!.vtt -

    4. Programming Hadoop with Spark
          1. Why Spark.mp4 -

          1. Why Spark.vtt -

          2. The Resilient Distributed Dataset (RDD).mp4 -

          2. The Resilient Distributed Dataset (RDD).vtt -

          3. [Activity] Find the movie with the lowest average rating - with RDD's.mp4 -

          3. [Activity] Find the movie with the lowest average rating - with RDD's.vtt -

          4. Datasets and Spark 2.0.mp4 -

          4. Datasets and Spark 2.0.vtt -

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

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

          6. [Activity] Movie recommendations with MLLib.mp4 -

          6. [Activity] Movie recommendations with MLLib.vtt -

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

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

          8. [Activity] Check your results against mine!.mp4 -

          8. [Activity] Check your results against mine!.vtt -

    5. Using relational data stores with Hadoop
          1. What is Hive.mp4 -

          1. What is Hive.vtt -

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

          2. [Activity] Use Hive to find the most popular movie.vtt -

          3. How Hive works.mp4 -

          3. How Hive works.vtt -

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

          4. [Exercise] Use Hive to find the movie with the highest average rating.vtt -

          5. Compare your solution to mine..mp4 -

          5. Compare your solution to mine..vtt -

          6. Integrating MySQL with Hadoop.mp4 -

          6. Integrating MySQL with Hadoop.vtt -

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

          7. [Activity] Install MySQL and import our movie data.vtt -

          8. [Activity] Use Sqoop to import data from MySQL to HFDSHive.mp4 -

          8. [Activity] Use Sqoop to import data from MySQL to HFDSHive.vtt -

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

          9. [Activity] Use Sqoop to export data from Hadoop to MySQL.vtt -

    6. Using non-relational data stores with Hadoop
          1. Why NoSQL.mp4 -

          1. Why NoSQL.vtt -

          10. [Activity] Using the MongoDB shell.mp4 -

          10. [Activity] Using the MongoDB shell.vtt -

          11. Choosing a database technology.mp4 -

          11. Choosing a database technology.vtt -

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

          12. [Exercise] Choose a database for a given problem.vtt -

          2. What is HBase.mp4 -

          2. What is HBase.vtt -

          3. [Activity] Import movie ratings into HBase.mp4 -

          3. [Activity] Import movie ratings into HBase.vtt -

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

          4. [Activity] Use HBase with Pig to import data at scale..vtt -

          5. Cassandra overview.mp4 -

          5. Cassandra overview.vtt -

          6. [Activity] Installing Cassandra.mp4 -

          6. [Activity] Installing Cassandra.vtt -

          7. [Activity] Write Spark output into Cassandra.mp4 -

          7. [Activity] Write Spark output into Cassandra.vtt -

          8. MongoDB overview.mp4 -

          8. MongoDB overview.vtt -

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

          9. [Activity] Install MongoDB, and integrate Spark with MongoDB.vtt -

    7. Querying your Data Interactively
          1. Overview of Drill.mp4 -

          1. Overview of Drill.vtt -

          2. [Activity] Setting up Drill.mp4 -

          2. [Activity] Setting up Drill.vtt -

          3. [Activity] Querying across multiple databases with Drill.mp4 -

          3. [Activity] Querying across multiple databases with Drill.vtt -

          4. Overview of Phoenix.mp4 -

          4. Overview of Phoenix.vtt -

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

          5. [Activity] Install Phoenix and query HBase with it.vtt -

          6. [Activity] Integrate Phoenix with Pig.mp4 -

          6. [Activity] Integrate Phoenix with Pig.vtt -

          7. Overview of Presto.mp4 -