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种子名称： Udemy - Learn Hadoop, MapReduce and BigData from Scratch
文件类型： 视频
文件数目： 73个文件
文件大小： 2.77 GB
收录时间： 2017-1-23 15:29
已经下载： 3次
资源热度： 173
最近下载： 2024-12-21 22:42

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Udemy - Learn Hadoop, MapReduce and BigData from Scratch.torrent

04 Mapreduce Version 1/004 Jobs definition, Job configuration, submission, execution and monitoring Part -B.mp436.01MB

04 Mapreduce Version 1/005 Jobs definition, Job configuration, submission, execution and monitoring Part -C.mp466.34MB

04 Mapreduce Version 1/006 Hadoop Data Types, Paths, FileSystem, Splitters, Readers and Writers Part A.mp428.05MB

04 Mapreduce Version 1/003 Jobs definition, Job configuration, submission, execution and monitoring Part -A.mp433.24MB

04 Mapreduce Version 1/002 MapReduce Concepts in detail Part - B.mp436.4MB

02 Hadoop Architecture/012 Running Multi node clusters on Amazons EMR Part - E.mp449.46MB

04 Mapreduce Version 1/001 MapReduce Concepts in detail Part - A.mp439.02MB

04 Mapreduce Version 1/007 Hadoop Data Types, Paths, FileSystem, Splitters, Readers and Writers Part B.mp431.49MB

04 Mapreduce Version 1/008 Hadoop Data Types, Paths, FileSystem, Splitters, Readers and Writers Part C.mp470.95MB

08 Mapreduce Version 2/002 Apache Hadoop 2 and YARN Part - B.mp426.68MB

08 Mapreduce Version 2/003 Yarn Examples.mp452.88MB

08 Mapreduce Version 2/001 Apache Hadoop 2 and YARN Part - A.mp434.5MB

04 Mapreduce Version 1/012 The UDF class, Definition, User Defined Functions Part - B.mp442.42MB

04 Mapreduce Version 1/009 The ETL class, Definition, Extract, Transform, and Load Part - A.mp454.11MB

04 Mapreduce Version 1/010 The ETL class, Definition, Extract, Transform, and Load Part - B.mp470.04MB

02 Hadoop Architecture/011 Running Multi node clusters on Amazons EMR Part - D.mp419.62MB

04 Mapreduce Version 1/011 The UDF class, Definition, User Defined Functions Part - A.mp433.85MB

02 Hadoop Architecture/006 NameNode, Secondary Name Node, Data Nodes Part - A.mp430.39MB

02 Hadoop Architecture/007 NameNode, Secondary Name Node, Data Nodes Part - B.mp425.96MB

02 Hadoop Architecture/008 Running Multi node clusters on Amazons EMR Part - A.mp429.63MB

02 Hadoop Architecture/005 Clusters and Nodes, Hadoop Cluster Part - B.mp437.61MB

02 Hadoop Architecture/003 Set up a single Node Hadoop pseudo cluster Part - c.mp439.33MB

02 Hadoop Architecture/010 Running Multi node clusters on Amazons EMR Part - C.mp442.27MB

02 Hadoop Architecture/001 Set up a single Node Hadoop pseudo cluster Part - A.mp436.93MB

02 Hadoop Architecture/002 Set up a single Node Hadoop pseudo cluster Part - B.mp445.12MB

02 Hadoop Architecture/009 Running Multi node clusters on Amazons EMR Part - B.mp430.95MB

02 Hadoop Architecture/004 Clusters and Nodes, Hadoop Cluster Part - A.mp426.58MB

07 The Hadoop Ecosystem/003 Introduction to Avro.mp455.56MB

07 The Hadoop Ecosystem/004 Introduction to Mahout Part - A.mp438.3MB

07 The Hadoop Ecosystem/006 Introduction to Mahout Part - C.mp466.44MB

07 The Hadoop Ecosystem/005 Introduction to Mahout Part - B.mp451.85MB

07 The Hadoop Ecosystem/002 Introduction to Crunch Part - B.mp446.94MB

07 The Hadoop Ecosystem/001 Introduction to Crunch Part - A.mp442.93MB

09 Putting it all together/004 Amazon EMR example Part - D.mp437.95MB

09 Putting it all together/008 Apache Bigtop example Part - D.mp439.3MB

09 Putting it all together/007 Apache Bigtop example Part - C.mp446.95MB

09 Putting it all together/006 Apache Bigtop example Part - B.mp442.82MB

09 Putting it all together/005 Apache Bigtop example Part - A.mp440.84MB

09 Putting it all together/009 Apache Bigtop example Part - E.mp438.45MB

09 Putting it all together/002 Amazon EMR example Part - B.mp432MB

09 Putting it all together/003 Amazon EMR example Part - C.mp434.5MB

09 Putting it all together/010 Apache Bigtop example Part - F.mp452.61MB

09 Putting it all together/001 Amazon EMR example Part - A.mp439.5MB

09 Putting it all together/011 Course Summary.mp47.59MB

01 Introduction to Big Data/003 Why Hadoop, Big Data and Map Reduce Part - B.mp427.43MB

01 Introduction to Big Data/004 Why Hadoop, Big Data and Map Reduce Part - C.mp438.7MB

01 Introduction to Big Data/002 Why Hadoop, Big Data and Map Reduce Part - A.mp424.64MB

01 Introduction to Big Data/005 Architecture of Clusters.mp450.65MB

03 Distributed file systems/004 Run hadoop on Hortonworks Sandbox.mp432.55MB

03 Distributed file systems/003 Run hadoop on Cloudera, Web Administration.mp444.46MB

03 Distributed file systems/002 Hdfs vs Gfs a comparison - Part B.mp413.79MB

03 Distributed file systems/001 Hdfs vs Gfs a comparison - Part A.mp437.09MB

03 Distributed file systems/005 File system operations with the HDFS shell Part - A.mp424.06MB

03 Distributed file systems/006 File system operations with the HDFS shell Part - B.mp436.11MB

01 Introduction to Big Data/006 Virtual Machine VM, Provisioning a VM with vagrant and puppet.mp440.64MB

03 Distributed file systems/008 Advanced hadoop development with Apache Bigtop Part - B.mp420.72MB

03 Distributed file systems/007 Advanced hadoop development with Apache Bigtop Part - A.mp452.62MB

01 Introduction to Big Data/001 Introduction to the Course.mp49.3MB

05 Mapreduce with Hive Data warehousing/007 Example Hive ETL class Part - A.mp445.3MB

05 Mapreduce with Hive Data warehousing/005 Hive Query Patterns Part - B.mp443.1MB

05 Mapreduce with Hive Data warehousing/006 Hive Query Patterns Part - C.mp448.09MB

05 Mapreduce with Hive Data warehousing/004 Hive Query Patterns Part - A.mp435.95MB

05 Mapreduce with Hive Data warehousing/003 Hive Configuration.mp451.07MB

05 Mapreduce with Hive Data warehousing/001 Schema design for a Data warehouse Part - A.mp443.42MB

05 Mapreduce with Hive Data warehousing/002 Schema design for a Data warehouse Part - B.mp436.89MB

05 Mapreduce with Hive Data warehousing/008 Example Hive ETL class Part - B.mp461.21MB

06 Mapreduce with Pig Parallel processing/001 Introduction to Apache Pig Part - A.mp431.27MB

06 Mapreduce with Pig Parallel processing/005 Pig LoadFunc and EvalFunc classes.mp436.78MB

06 Mapreduce with Pig Parallel processing/006 Example Pig ETL class Part - A.mp435.44MB

06 Mapreduce with Pig Parallel processing/004 Introduction to Apache Pig Part - D.mp429.76MB

06 Mapreduce with Pig Parallel processing/003 Introduction to Apache Pig Part - C.mp427.88MB

06 Mapreduce with Pig Parallel processing/002 Introduction to Apache Pig Part - B.mp435.47MB

06 Mapreduce with Pig Parallel processing/007 Example Pig ETL class Part - B.mp441.7MB