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[DesireCourse.Net] Udemy - Hands-on HADOOP Masterclass - Tame the Big Data!

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种子名称: [DesireCourse.Net] Udemy - Hands-on HADOOP Masterclass - Tame the Big Data!
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文件数目: 525个文件
文件大小: 28.38 GB
收录时间: 2022-11-25 22:34
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最近下载: 2024-12-16 19:35

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[DesireCourse.Net] Udemy - Hands-on HADOOP Masterclass - Tame the Big Data!.torrent
  • 1. Big Data and Hadoop Training Introduction/1. Introduction to Big Data Hadoop.mp435.41MB
  • 1. Big Data and Hadoop Training Introduction/10. Working on Sample Program.mp434.88MB
  • 1. Big Data and Hadoop Training Introduction/11. Creating Method Map.mp452.53MB
  • 1. Big Data and Hadoop Training Introduction/12. Iterable Values.mp451.36MB
  • 1. Big Data and Hadoop Training Introduction/13. Output Path.mp435.32MB
  • 1. Big Data and Hadoop Training Introduction/14. Scary Catch Box.mp427.91MB
  • 1. Big Data and Hadoop Training Introduction/2. Scenario of Big Data Hadoop.mp436.69MB
  • 1. Big Data and Hadoop Training Introduction/3. Write Anatomy.mp433.76MB
  • 1. Big Data and Hadoop Training Introduction/4. Continuation os Write Anatomy.mp433.04MB
  • 1. Big Data and Hadoop Training Introduction/5. Read Anatomy.mp434.41MB
  • 1. Big Data and Hadoop Training Introduction/6. Continuation os Read Anatomy.mp433.05MB
  • 1. Big Data and Hadoop Training Introduction/7. Word Count in Hadoop.mp490.34MB
  • 1. Big Data and Hadoop Training Introduction/8. Running Hadoop Application.mp422.23MB
  • 1. Big Data and Hadoop Training Introduction/9. Continuation Hadoop Application.mp440.54MB
  • 10. Apache Mahout/1. What is Mahout.mp422.1MB
  • 10. Apache Mahout/10. Mahout Seqdumper Command.mp431.19MB
  • 10. Apache Mahout/11. Running Code through Eclipse.mp451.93MB
  • 10. Apache Mahout/12. Reading from Code.mp451.85MB
  • 10. Apache Mahout/13. Introduction to Apache Mahout Deep Dive.mp450.82MB
  • 10. Apache Mahout/14. Use Cases.mp449.9MB
  • 10. Apache Mahout/15. Recommendation.mp464.01MB
  • 10. Apache Mahout/16. Example - Tanimoto Distance.mp438.43MB
  • 10. Apache Mahout/17. How to Use Mahout.mp453.53MB
  • 10. Apache Mahout/18. Exercise.mp442.38MB
  • 10. Apache Mahout/19. Example - Evaluation.mp446.67MB
  • 10. Apache Mahout/2. Mahout Architecture.mp449MB
  • 10. Apache Mahout/20. Deep Dive Canopy Clustering.mp440.46MB
  • 10. Apache Mahout/21. Classification.mp446.78MB
  • 10. Apache Mahout/22. Vector File.mp451.45MB
  • 10. Apache Mahout/23. Naïve Bayes Classifier from Code.mp484.41MB
  • 10. Apache Mahout/24. KMeans Clustering.mp423.71MB
  • 10. Apache Mahout/25. Logistic Regression.mp438.39MB
  • 10. Apache Mahout/3. Subversion Installation.mp431.83MB
  • 10. Apache Mahout/4. Item Based Recommendation.mp433.42MB
  • 10. Apache Mahout/5. Example- CBayes Classifier.mp436.66MB
  • 10. Apache Mahout/6. Command Line Options.mp459.4MB
  • 10. Apache Mahout/7. Canopy Clustering.mp448.71MB
  • 10. Apache Mahout/8. Basic Recommender.mp445.65MB
  • 10. Apache Mahout/9. Practical Examples.mp452.96MB
  • 11. Apache Oozie/1. Introduction to Apache Oozie.mp431.56MB
  • 11. Apache Oozie/10. Pig Action in Oozie.mp471.5MB
  • 11. Apache Oozie/11. Pig Action in Oozie Continues.mp459.04MB
  • 11. Apache Oozie/12. Oozie Coordinators.mp471.58MB
  • 11. Apache Oozie/13. Oozie Workflow Applications.mp446.83MB
  • 11. Apache Oozie/14. Oozie Workflow Applications Continues.mp467.26MB
  • 11. Apache Oozie/2. Discuss Action in Detail.mp451.32MB
  • 11. Apache Oozie/3. Discuss Parameters.mp434.73MB
  • 11. Apache Oozie/4. Email Action in Oozie.mp424.55MB
  • 11. Apache Oozie/5. Hadoop FS Action in Oozie.mp431.99MB
  • 11. Apache Oozie/6. Hive Action in Oozie.mp461.44MB
  • 11. Apache Oozie/7. Hive Action in Oozie Continue.mp432.02MB
  • 11. Apache Oozie/8. Control Node.mp424.2MB
  • 11. Apache Oozie/9. Control Node Continue.mp453.69MB
  • 12. Apache Flume/1. Introduction to Flume.mp440.13MB
  • 12. Apache Flume/2. Data Flow in Flume.mp421.11MB
  • 12. Apache Flume/3. Flume Netcat Example.mp418.96MB
  • 13. Apache Storm/1. Introduction.mp49.43MB
  • 13. Apache Storm/10. Stream.mp423.46MB
  • 13. Apache Storm/11. Installation Process.mp413.37MB
  • 13. Apache Storm/12. Stream Grouping.mp453.8MB
  • 13. Apache Storm/13. Stream Grouping Continue.mp429MB
  • 13. Apache Storm/14. Reliability.mp427.94MB
  • 13. Apache Storm/15. Tasks.mp417.12MB
  • 13. Apache Storm/16. Workers.mp429.61MB
  • 13. Apache Storm/17. Java Installation and Zookeeper.mp472.33MB
  • 13. Apache Storm/18. Zookeeper installation.mp484.01MB
  • 13. Apache Storm/19. Eclipse Installation.mp414.93MB
  • 13. Apache Storm/2. Description of Hadoop.mp417.29MB
  • 13. Apache Storm/20. Command line Client.mp430.44MB
  • 13. Apache Storm/21. Parallelism in Storm Topology.mp458.47MB
  • 13. Apache Storm/3. Storm Introduction.mp430.32MB
  • 13. Apache Storm/4. Apache Storm History.mp427.08MB
  • 13. Apache Storm/5. Features of Apache Storm.mp423.19MB
  • 13. Apache Storm/6. Architecture of Apache Storm.mp423.5MB
  • 13. Apache Storm/7. Architcture Explanation in Detail.mp445.31MB
  • 13. Apache Storm/8. Topology.mp437.07MB
  • 13. Apache Storm/9. Spouts and Bolts.mp427.06MB
  • 14. Apache Avro/1. Introduction to Apche Avro.mp452.5MB
  • 14. Apache Avro/2. Using Avro with Sqoop.mp486.05MB
  • 14. Apache Avro/3. Supported Primitive Data Types in Avro.mp431.29MB
  • 15. Apache Spark Fundamentals/1. Introduction to Apache Spark Spark.mp429.67MB
  • 15. Apache Spark Fundamentals/10. Spark File Formats.mp452.57MB
  • 15. Apache Spark Fundamentals/11. Spark File Formats Continues.mp414.47MB
  • 15. Apache Spark Fundamentals/2. Spark Context.mp443.79MB
  • 15. Apache Spark Fundamentals/3. Spark Components.mp459.1MB
  • 15. Apache Spark Fundamentals/4. Introduction to Spark RDD Basics.mp4100.14MB
  • 15. Apache Spark Fundamentals/5. Use of Filter Function.mp476.9MB
  • 15. Apache Spark Fundamentals/6. RDD Transformations in Spark.mp449.71MB
  • 15. Apache Spark Fundamentals/7. RDD Transformations in Spark Continues.mp445.18MB
  • 15. Apache Spark Fundamentals/8. RDD Persistence in Spark.mp447.12MB
  • 15. Apache Spark Fundamentals/9. Group Sort and Actions on Pair RDDs.mp460.97MB
  • 16. Apache Spark Advanced/1. Introduction to Connecting to Twitter Using Spark.mp446.59MB
  • 16. Apache Spark Advanced/10. Loops.mp460.02MB
  • 16. Apache Spark Advanced/11. Collections.mp453.68MB
  • 16. Apache Spark Advanced/12. More on Collections.mp425.93MB
  • 16. Apache Spark Advanced/13. Abstract Class.mp444.48MB
  • 16. Apache Spark Advanced/14. Example of the Abstract Class.mp431.71MB
  • 16. Apache Spark Advanced/15. Trait.mp430.88MB
  • 16. Apache Spark Advanced/16. Example of the Trait.mp433.3MB
  • 16. Apache Spark Advanced/17. Exception.mp428.37MB
  • 16. Apache Spark Advanced/18. Practical Example of Exceptions.mp433.16MB
  • 16. Apache Spark Advanced/19. Customize Exceptions of Scala Project.mp457.31MB
  • 16. Apache Spark Advanced/2. Flowchart of Spark.mp428.56MB
  • 16. Apache Spark Advanced/20. Modifiers.mp447.97MB
  • 16. Apache Spark Advanced/21. Strings.mp459.92MB
  • 16. Apache Spark Advanced/22. Methods in Strings.mp461.96MB
  • 16. Apache Spark Advanced/23. Methods in Strings Continue.mp438.99MB
  • 16. Apache Spark Advanced/24. Array.mp453.44MB
  • 16. Apache Spark Advanced/25. RDD in Spark.mp429.7MB
  • 16. Apache Spark Advanced/26. RDD in Spark Continues.mp435.85MB
  • 16. Apache Spark Advanced/27. Different Operations.mp473.23MB
  • 16. Apache Spark Advanced/28. Transformation Operations.mp463.87MB
  • 16. Apache Spark Advanced/29. Action Operations.mp435.16MB
  • 16. Apache Spark Advanced/3. Components of Spark.mp439.84MB
  • 16. Apache Spark Advanced/30. Action Operations Continues.mp434.06MB
  • 16. Apache Spark Advanced/31. Maven Creation.mp470.92MB
  • 16. Apache Spark Advanced/32. Create Scala Project.mp459.6MB
  • 16. Apache Spark Advanced/33. Difference between Hadoop 1.x and 2.x.mp424.78MB
  • 16. Apache Spark Advanced/34. Connection to Twitter Using Spark Streaming.mp468.3MB
  • 16. Apache Spark Advanced/35. How to Connect Twitter Using Spark Application.mp418.5MB
  • 16. Apache Spark Advanced/36. More on Connect Twitter Using Spark Application.mp484.81MB
  • 16. Apache Spark Advanced/4. Different Services Running on YARN.mp454.62MB
  • 16. Apache Spark Advanced/5. Introduction to Scala.mp444.75MB
  • 16. Apache Spark Advanced/6. Case Classes and Pattern Matching.mp447.83MB
  • 16. Apache Spark Advanced/7. Installation of Scala.mp439.65MB
  • 16. Apache Spark Advanced/8. Variables and Functions.mp436MB
  • 16. Apache Spark Advanced/9. Variables and Functions Continues.mp427.6MB
  • 17. Hadoop Project 01 - Sales Data Analysis/1. Introduction to Sales Data Analysis Using Hadoop- HDFS.mp4107.62MB
  • 17. Hadoop Project 01 - Sales Data Analysis/2. Working with Problem Statement 2.mp478.97MB
  • 17. Hadoop Project 01 - Sales Data Analysis/3. Working with Problem Statement 3.mp476.35MB
  • 17. Hadoop Project 01 - Sales Data Analysis/4. Working with Problem Statement 4.mp491.13MB
  • 17. Hadoop Project 01 - Sales Data Analysis/5. Working with Problem Statement 5.mp464.77MB
  • 17. Hadoop Project 01 - Sales Data Analysis/6. Working with Problem Statement 6.mp456.27MB
  • 18. Hadoop Project 02 - Tourism Survey Analysis/1. Introduction to Tourism Survey Analysis Using HDFS.mp483.72MB
  • 18. Hadoop Project 02 - Tourism Survey Analysis/2. Average of Money Spend By Tourist in our Country.mp457.06MB
  • 18. Hadoop Project 02 - Tourism Survey Analysis/3. Join Country and Nationality.mp466.84MB
  • 18. Hadoop Project 02 - Tourism Survey Analysis/4. Total no. of Tourist Less than 18.mp464.52MB
  • 18. Hadoop Project 02 - Tourism Survey Analysis/5. Change the Country Name Column.mp454.59MB
  • 18. Hadoop Project 02 - Tourism Survey Analysis/6. Number of Males from Australia.mp463.66MB
  • 18. Hadoop Project 02 - Tourism Survey Analysis/7. Tourism Survey General Detail and Spending Details.mp494.89MB
  • 19. Hadoop Project 03 - Faculty Data Management/1. Introduction to Faculty Data Management Using HDFS.mp446.47MB
  • 19. Hadoop Project 03 - Faculty Data Management/2. Education Industry.mp443.18MB
  • 19. Hadoop Project 03 - Faculty Data Management/3. Adding New Column in Faculty Database Management.mp454.82MB
  • 19. Hadoop Project 03 - Faculty Data Management/4. Changing Column Name and Data Type.mp447.1MB
  • 19. Hadoop Project 03 - Faculty Data Management/5. Drop Column From Table and Add New Column.mp462.8MB
  • 2. Hadoop Architecture and HDFS/1. Introduction to Hadoop Admin.mp458.48MB
  • 2. Hadoop Architecture and HDFS/10. Block Placement Policy.mp475.08MB
  • 2. Hadoop Architecture and HDFS/11. Assignments.mp4109.49MB
  • 2. Hadoop Architecture and HDFS/12. Hadoop Architecture Cluster Setup.mp419.82MB
  • 2. Hadoop Architecture and HDFS/13. Installation of Hadoop in Vmware Workstation.mp457.19MB
  • 2. Hadoop Architecture and HDFS/14. Hadoop Package Installation.mp426.91MB
  • 2. Hadoop Architecture and HDFS/15. Configuration of Host Name and Gateway.mp431.57MB
  • 2. Hadoop Architecture and HDFS/16. Copying of ISO File to Centos.mp434.21MB
  • 2. Hadoop Architecture and HDFS/17. Installation of SSH File Using Yum.mp441.69MB
  • 2. Hadoop Architecture and HDFS/18. Copy the Public Key to Authorized Key in SSH.mp491.56MB
  • 2. Hadoop Architecture and HDFS/19. Setup for Block Size and Mapped.mp448.11MB
  • 2. Hadoop Architecture and HDFS/2. Limitations of Existing System.mp478.2MB
  • 2. Hadoop Architecture and HDFS/20. Create SSH -keygen for HD User.mp468.16MB
  • 2. Hadoop Architecture and HDFS/21. Start the Map Reduce in Hadoop.mp453.38MB
  • 2. Hadoop Architecture and HDFS/22. Creating a Clone for Hadoop.mp449.12MB
  • 2. Hadoop Architecture and HDFS/23. Changing the Hostname.mp459.65MB
  • 2. Hadoop Architecture and HDFS/24. Configuring Hadoop Site.mp444.81MB
  • 2. Hadoop Architecture and HDFS/25. Slave File Configuration.mp453.92MB
  • 2. Hadoop Architecture and HDFS/26. Creating Name node and Data Node In Hadoop.mp456.63MB
  • 2. Hadoop Architecture and HDFS/27. Understanding HDFS.mp433.41MB
  • 2. Hadoop Architecture and HDFS/28. Hadoop Core Config Files.mp443.93MB
  • 2. Hadoop Architecture and HDFS/29. Hadoop Cluster and Password less SSH.mp438.19MB
  • 2. Hadoop Architecture and HDFS/3. Hadoop Key Characteristics.mp460.94MB
  • 2. Hadoop Architecture and HDFS/30. Configuring Rack Awareness.mp451.17MB
  • 2. Hadoop Architecture and HDFS/31. Configuring Rack Awareness Continues.mp439.11MB
  • 2. Hadoop Architecture and HDFS/32. Running DFS Admin Report.mp439.65MB
  • 2. Hadoop Architecture and HDFS/33. Hadoop Map Reduce.mp452.91MB
  • 2. Hadoop Architecture and HDFS/34. Running Hadoop NameNode.mp446.76MB
  • 2. Hadoop Architecture and HDFS/35. Executing Hadoop Command.mp458.1MB
  • 2. Hadoop Architecture and HDFS/36. Writing File in Hadoop Cluster.mp451.98MB
  • 2. Hadoop Architecture and HDFS/37. Understanding FS Command.mp4101.54MB
  • 2. Hadoop Architecture and HDFS/38. Directories of Data.mp451.9MB
  • 2. Hadoop Architecture and HDFS/39. Fie System Check.mp457.4MB
  • 2. Hadoop Architecture and HDFS/4. Hadoop Distributed File System.mp475.5MB
  • 2. Hadoop Architecture and HDFS/40. Writing Data in HDFS.mp454.9MB
  • 2. Hadoop Architecture and HDFS/41. Checkpointing Node.mp429.54MB
  • 2. Hadoop Architecture and HDFS/42. Merging the Metadata.mp442.31MB
  • 2. Hadoop Architecture and HDFS/43. Cluster in Safe Mode.mp443.81MB
  • 2. Hadoop Architecture and HDFS/44. Cluster in Maintainance Mode.mp443.88MB
  • 2. Hadoop Architecture and HDFS/45. Commissioning of Data Nodes.mp460.56MB
  • 2. Hadoop Architecture and HDFS/46. Name Node.mp449.57MB
  • 2. Hadoop Architecture and HDFS/47. Validating the Data Node.mp459.24MB
  • 2. Hadoop Architecture and HDFS/48. Storage Considerations.mp441.91MB
  • 2. Hadoop Architecture and HDFS/5. Storage Layer of Hadoop.mp487.77MB
  • 2. Hadoop Architecture and HDFS/6. Hadoop 1.0 Core Components.mp483.84MB
  • 2. Hadoop Architecture and HDFS/7. FS Images.mp491.32MB
  • 2. Hadoop Architecture and HDFS/8. Secondary Name Node.mp470.69MB
  • 2. Hadoop Architecture and HDFS/9. HDFC Architecture.mp472.18MB
  • 20. Hadoop Project 04 - E-Commerce Sales Analysis/1. Introduction to E-Commerce Sales Analysis Using Hadoop.mp456.16MB
  • 20. Hadoop Project 04 - E-Commerce Sales Analysis/2. Customer Detail not from USA.mp471.19MB
  • 20. Hadoop Project 04 - E-Commerce Sales Analysis/3. Customer Detail Account Created After 2009.mp474.99MB
  • 20. Hadoop Project 04 - E-Commerce Sales Analysis/4. Customer Details whose Sales are Less than 3600$.mp457.5MB
  • 20. Hadoop Project 04 - E-Commerce Sales Analysis/5. Details of Customer Name ’’Anushka.mp456.33MB
  • 21. Hadoop Project 05 - Salary Analysis/1. Part time Employee using Salary Analysis.mp456.25MB
  • 21. Hadoop Project 05 - Salary Analysis/2. Details of Administrative Assistance.mp451.79MB
  • 21. Hadoop Project 05 - Salary Analysis/3. Data Sets in Ascending Order.mp460.23MB
  • 21. Hadoop Project 05 - Salary Analysis/4. Job Title for Each Department.mp461.32MB
  • 21. Hadoop Project 05 - Salary Analysis/5. Changing Name to Employee Name.mp452.03MB
  • 21. Hadoop Project 05 - Salary Analysis/6. Total number of Employee in Hourly Basis.mp454.87MB
  • 21. Hadoop Project 05 - Salary Analysis/7. Annual Salary Taken By Finance Department.mp467.79MB
  • 22. Hadoop Project 06 - Health Survey Analysis using HDFS/1. Introduction to Health Analysis.mp485.43MB
  • 22. Hadoop Project 06 - Health Survey Analysis using HDFS/2. Show Rows Data From Health Data Table.mp466.22MB
  • 22. Hadoop Project 06 - Health Survey Analysis using HDFS/3. Adding New Data in Health Data Table.mp476.6MB
  • 22. Hadoop Project 06 - Health Survey Analysis using HDFS/4. Get Data From HDFS Database from SQL Database.mp449.65MB
  • 22. Hadoop Project 06 - Health Survey Analysis using HDFS/5. Getting Data in New HDFS Directory from SQL.mp468.06MB
  • 22. Hadoop Project 06 - Health Survey Analysis using HDFS/6. Export Data Table From HDFS to SQL.mp475.25MB
  • 22. Hadoop Project 06 - Health Survey Analysis using HDFS/7. Get Details of City Population in Health Dataset.mp466.2MB
  • 23. Hadoop Project07 - Traffic Violation Analysis/1. Introduction to Traffic Violation Analysis.mp474.91MB
  • 23. Hadoop Project07 - Traffic Violation Analysis/2. Introduction to Traffic Violation Analysis Continues.mp461.98MB
  • 23. Hadoop Project07 - Traffic Violation Analysis/3. Get Table From SQL to HDFS Directory.mp435.44MB
  • 23. Hadoop Project07 - Traffic Violation Analysis/4. Output of Table From SQL to HDFS Directory.mp469.72MB
  • 23. Hadoop Project07 - Traffic Violation Analysis/5. List Databases and Tables of SQl in HDFS.mp474.82MB
  • 23. Hadoop Project07 - Traffic Violation Analysis/6. Create and Execute jobs in Traffic Violation.mp476.83MB
  • 23. Hadoop Project07 - Traffic Violation Analysis/7. Import Data for Personal Injuries from SQL.mp465.92MB
  • 23. Hadoop Project07 - Traffic Violation Analysis/8. Get Data For State Maryland.mp466.25MB
  • 23. Hadoop Project07 - Traffic Violation Analysis/9. Extract Data of Traffic Violation from HDFS to My SQL.mp487.39MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/1. Introduction to Analyze the Loan Data Set.mp477.04MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/10. Calculate Average Risk Per category Continues.mp431.92MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/11. Comparable Interface in MapReduce.mp489.96MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/12. Implementation and Execution MapReduce.mp462.79MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/13. Average Risk Per Category in PIG.mp458.57MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/14. Average Risk Per Category and Location in PIG.mp482.68MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/15. Average Risk Per Category and Location in PIG Continues.mp451.3MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/16. Average Risk Per Category in Hive.mp467.52MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/17. Analysis Bank Loan Dataset in HIVE.mp461.16MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/18. Analysis Bank Loan Dataset in HIVE Continues.mp439.72MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/19. Understand of Sqoop and Get RDBMS Data in HDFS.mp477.7MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/2. Introduction to Analyze the Loan Data Set Continues.mp490.13MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/3. Overall Average Risk.mp435.27MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/4. Coding Average Risk.mp479.38MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/5. Coding Average Risk Continues.mp463.43MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/6. More on Average Risk.mp475.7MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/7. Average Risk Per Location.mp445.3MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/8. Average Risk per Loan Type.mp485.99MB
  • 24. Hadoop Project 08 - PIGMapReduce - Analyze Loan Dataset/9. Calculate Average Risk Per Category.mp464.25MB
  • 25. Hadoop Project09 - HIVE - Case Study on Telecom Industry/1. Introduction of Hive.mp445.85MB
  • 25. Hadoop Project09 - HIVE - Case Study on Telecom Industry/10. Bucketing.mp445.85MB
  • 25. Hadoop Project09 - HIVE - Case Study on Telecom Industry/11. Table Contr Services in Hive.mp478MB
  • 25. Hadoop Project09 - HIVE - Case Study on Telecom Industry/12. Example of Contr Services.mp461.74MB
  • 25. Hadoop Project09 - HIVE - Case Study on Telecom Industry/13. Example of Contr Services Continues.mp446.34MB
  • 25. Hadoop Project09 - HIVE - Case Study on Telecom Industry/14. Creating Contract All Table.mp497.13MB
  • 25. Hadoop Project09 - HIVE - Case Study on Telecom Industry/2. Simple and Complex Datatype in Hive.mp457.97MB
  • 25. Hadoop Project09 - HIVE - Case Study on Telecom Industry/3. Clusters.mp42.55MB
  • 25. Hadoop Project09 - HIVE - Case Study on Telecom Industry/4. Database Command in Hive.mp488.11MB
  • 25. Hadoop Project09 - HIVE - Case Study on Telecom Industry/5. Tables Commands in Hive.mp444MB
  • 25. Hadoop Project09 - HIVE - Case Study on Telecom Industry/6. Manage Tables.mp451.13MB
  • 25. Hadoop Project09 - HIVE - Case Study on Telecom Industry/7. External Tables.mp412.65MB
  • 25. Hadoop Project09 - HIVE - Case Study on Telecom Industry/8. Introduction to Partitioning.mp445.48MB
  • 25. Hadoop Project09 - HIVE - Case Study on Telecom Industry/9. Partition Command.mp451MB
  • 26. Hadoop Project10 - HIVEMapReduce - Customers Complaints Analysis/1. Introduction to Customer Complaint Project in Big Data.mp455.64MB
  • 26. Hadoop Project10 - HIVEMapReduce - Customers Complaints Analysis/2. Complaint Filed Under Each File.mp492.91MB
  • 26. Hadoop Project10 - HIVEMapReduce - Customers Complaints Analysis/3. Creating Driver Files and Jar Manifest.mp4104.65MB
  • 26. Hadoop Project10 - HIVEMapReduce - Customers Complaints Analysis/4. Creating Driver Files and Jar Manifest Continues.mp415.91MB
  • 26. Hadoop Project10 - HIVEMapReduce - Customers Complaints Analysis/5. Complaint Filed from Particular Location.mp446.84MB
  • 26. Hadoop Project10 - HIVEMapReduce - Customers Complaints Analysis/6. User Defined Location.mp474.05MB
  • 26. Hadoop Project10 - HIVEMapReduce - Customers Complaints Analysis/7. List of Complaint Grouped By Location.mp459.46MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/1. Introduction to Social Media Industry.mp438.43MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/10. Example of Analyse Book By Location.mp463.76MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/11. Analyse Book Reader Against Author.mp491.27MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/12. How to process XML File in PIG.mp440.04MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/13. How to process XML File in PIG Continues.mp457.4MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/14. Analyze Book Performance in XML File in PIG.mp497MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/15. More on Analyze Book Performance in XML File in PIG.mp4105.13MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/16. Pig XML File Output Using Book.mp495.36MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/17. Pig XML File Output Using Location.mp475.01MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/18. Pig XML File Output Using Location Continues.mp468.47MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/19. Understanding Complex Data Set Using Hive.mp456.42MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/2. Book Marking Website.mp430.28MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/20. Understanding Complex Data Set Using Hive Continues.mp473.97MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/21. Create Array in Map Reduce Using Hive.mp459.5MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/22. Book Marking Type Data Set Using Complex Type.mp469.37MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/23. Output of Book Marking Type Data Set.mp465.06MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/3. Book Marking Website Continues.mp423.07MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/4. Understanding Sqoop.mp451.22MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/5. Get Data from RDMS to HDFS.mp465.59MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/6. Execute Map Reduce Program in order to Process XML File.mp4116.11MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/7. Analyze Book Performance By Reviews Using Codev.mp465.98MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/8. Analyze Book Performance By Reviews Using Code Continues.mp492.1MB
  • 27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/9. Analyse Book By Location.mp461.87MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/1. Introduction to Sensor Data Analysis.mp444.17MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/10. More on Pig‚ MapReduce and Hive.mp456.64MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/11. Sensor Data Processing in Pig.mp463.89MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/12. Working With Pig Function.mp485.18MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/13. Types of Function in Pig.mp493.32MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/14. Example of Pig Function.mp460.26MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/15. Working on Use Cases Using Functions in PIG.mp4101.82MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/16. Use Case Data Flow in Pig.mp486.55MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/17. Ratio Data Flow in Pig.mp461.98MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/18. More on Use Case in Pig.mp464.46MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/19. More on Use Case in Pig Continues.mp472.94MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/2. Introduction to Sensor Data Analysis Continues.mp465.11MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/20. Example od Ratio Education in Pig.mp465.17MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/21. Approach Process the Json File in Hive.mp4145.6MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/22. Features and Query in Hive.mp466.39MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/23. Work on Json Use Cases Using Hive.mp453.28MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/24. Work on Json Use Cases Using Hive Continues.mp448.77MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/25. Output of Json Usecases Using Hive.mp484.79MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/26. More on Json Usecses in Hive.mp459.6MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/27. Summary of Sensor Data Processing.mp436.36MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/3. Example of Sensor Data Analysis.mp461.89MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/4. Uderstanding Basic of Big Data and MapReduce.mp452.01MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/5. More on Big Data and MapReduce.mp459.39MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/6. Converting Json File into Simple Text Format.mp498.6MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/7. Converting Json File into Simple Text Format Continues.mp464.15MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/8. Output for Json File format.mp456.46MB
  • 28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/9. Diffrence Between Pig‚ MapReduce and Hive.mp468.94MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/1. Introduction to Youtube Data Analysis Using Hadoop.mp436.87MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/10. Implementation and Outputt in Map Reduces.mp470.77MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/11. Basics of PIG.mp467.21MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/12. Basics of PIG Continues.mp456.53MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/13. Analyze Youtube Data using PIG Implementation.mp462.43MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/14. Example of PIG Implementation.mp4101.39MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/15. Output of PIG Implementation.mp491.47MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/16. Youtube Video Analyzer using Hive.mp432.42MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/17. Creating Youtube Video Analyzer using Hive.mp433.98MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/18. Analysis Youtube Videos using Hive Query.mp445.48MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/19. Analysis Youtube Videos using Hive Query Continues.mp450.52MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/2. Introduction to Youtube Data Analysis Using Hadoop Continues.mp442.51MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/20. More on Hive Query Languages.mp437.41MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/21. Conclusion.mp451.39MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/3. Data Preparation For Youtube Data Analysis using Hadoop.mp477.29MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/4. Basics of Big Data and Map Reduce.mp436.92MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/5. More on Big Data and Map Reduce.mp432.73MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/6. Working with Analysis Senario using Map Reduce.mp450.28MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/7. Example of Youtube Analyser using Map Reduce.mp481.51MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/8. Output Youtube Analyse in Map Reduces.mp450.99MB
  • 29. Hadoop Project 13 - PIGMapReduce - Youtube Data Analysis/9. High Rated Youtube Video Analyser in Map Reduces.mp4103.63MB
  • 3. MapReduce Fundamentals/1. Secondary Sort Hadoop.mp440.7MB
  • 3. MapReduce Fundamentals/10. Map Side Join Mapper.mp459.69MB
  • 3. MapReduce Fundamentals/11. Hadoop Commands.mp447.16MB
  • 3. MapReduce Fundamentals/12. Combiner in Hadoop.mp423.79MB
  • 3. MapReduce Fundamentals/13. Continue on Combiner in Hadoop.mp469.54MB
  • 3. MapReduce Fundamentals/14. Uploading Combiner Jar.mp426.65MB
  • 3. MapReduce Fundamentals/15. Introduction to Real World.mp477.14MB
  • 3. MapReduce Fundamentals/16. Ratings Mapper.mp460.25MB
  • 3. MapReduce Fundamentals/17. Movie and Ratings Runner.mp474.61MB
  • 3. MapReduce Fundamentals/18. Movie and Rating Calc Jar.mp437.18MB
  • 3. MapReduce Fundamentals/19. Total Ratings By A User.mp461.22MB
  • 3. MapReduce Fundamentals/2. Creating Composite Key.mp467.17MB
  • 3. MapReduce Fundamentals/20. User Rating Reducer.mp493.76MB
  • 3. MapReduce Fundamentals/21. User Rating Class.mp437.47MB
  • 3. MapReduce Fundamentals/22. Yarn Basic Tutorial.mp463.76MB
  • 3. MapReduce Fundamentals/23. Node Manager.mp458.78MB
  • 3. MapReduce Fundamentals/3. Continue on Composite Key.mp473.24MB
  • 3. MapReduce Fundamentals/4. Word Count Group.mp454.62MB
  • 3. MapReduce Fundamentals/5. Importance of Partition.mp4108.45MB
  • 3. MapReduce Fundamentals/6. Hadoop FS - LS.mp436.66MB
  • 3. MapReduce Fundamentals/7. Joins in Hadoop.mp432.01MB
  • 3. MapReduce Fundamentals/8. Creating Configuration Object.mp445.59MB
  • 3. MapReduce Fundamentals/9. Setup Method.mp455.16MB
  • 30. Hadoop and HDFS Fundamentals on Cloudera/1. What is Big Data .mp413.49MB
  • 30. Hadoop and HDFS Fundamentals on Cloudera/10. HDFS shell Commands.mp463.86MB
  • 30. Hadoop and HDFS Fundamentals on Cloudera/11. Few more HDFS shell Commands.mp444.38MB
  • 30. Hadoop and HDFS Fundamentals on Cloudera/12. Accesing HDFS through Java program.mp487.85MB
  • 30. Hadoop and HDFS Fundamentals on Cloudera/2. Processing Big Data.mp425.65MB
  • 30. Hadoop and HDFS Fundamentals on Cloudera/3. Distributed storage and processing.mp424.96MB
  • 30. Hadoop and HDFS Fundamentals on Cloudera/4. Understanding Map Reduce.mp415.3MB
  • 30. Hadoop and HDFS Fundamentals on Cloudera/5. Introduction to module 2.mp422.24MB
  • 30. Hadoop and HDFS Fundamentals on Cloudera/6. Introduction to Cloudera environment.mp439.42MB
  • 30. Hadoop and HDFS Fundamentals on Cloudera/7. Understanding hadoop environment installed on Cloudera.mp437MB
  • 30. Hadoop and HDFS Fundamentals on Cloudera/8. Understanding metadata configuration on hadoop.mp431.46MB
  • 30. Hadoop and HDFS Fundamentals on Cloudera/9. Understanding HDFS web UI and HUE.mp443.46MB
  • 31. Log Data Analysis with Hadoop/1. Introduction to Log Processing.mp4128.04MB
  • 31. Log Data Analysis with Hadoop/10. Conclusion.mp4111.24MB
  • 31. Log Data Analysis with Hadoop/2. Summarizing Log Files.mp4127.96MB
  • 31. Log Data Analysis with Hadoop/3. MapReducing Programme.mp492.36MB
  • 31. Log Data Analysis with Hadoop/4. Execute MapReduce Program.mp496.01MB
  • 31. Log Data Analysis with Hadoop/5. Big Data Technology.mp4121.95MB
  • 31. Log Data Analysis with Hadoop/6. Executing Big Data Tool.mp4113.54MB
  • 31. Log Data Analysis with Hadoop/7. Writing Map Reduce Program.mp482.06MB
  • 31. Log Data Analysis with Hadoop/8. Array List Searching.mp464.32MB
  • 31. Log Data Analysis with Hadoop/9. Processing Files In Map Reduce.mp463.39MB
  • 4. MapReduce Advanced/1. Running a MapReduce Program.mp4103.79MB
  • 4. MapReduce Advanced/10. HDI Data and Export Data.mp497.15MB
  • 4. MapReduce Advanced/11. Creating New Java Class.mp4114.22MB
  • 4. MapReduce Advanced/12. Text Out Inverted Indexer.mp4125.01MB
  • 4. MapReduce Advanced/13. Introduction to MapReduce on Hadoop.mp4105.67MB
  • 4. MapReduce Advanced/14. Java Build Path.mp4108.65MB
  • 4. MapReduce Advanced/15. Local MapReduce.mp441.08MB
  • 4. MapReduce Advanced/16. Using MapReduce.mp484.25MB
  • 4. MapReduce Advanced/17. Sequence file Format.mp4107.93MB
  • 4. MapReduce Advanced/18. Parse Weblogs.mp4105.25MB
  • 4. MapReduce Advanced/19. Page View Mapper.mp491.47MB
  • 4. MapReduce Advanced/2. Running a MapReduce Program Continues.mp494.11MB
  • 4. MapReduce Advanced/20. Analytics Program.mp486.17MB
  • 4. MapReduce Advanced/21. Analytics Program Continue.mp4127.68MB
  • 4. MapReduce Advanced/22. Inverted Index Map Reduce.mp4114.56MB
  • 4. MapReduce Advanced/23. Friend Sofa Friend.mp477.21MB
  • 4. MapReduce Advanced/24. Cloud era Local Host.mp476.3MB
  • 4. MapReduce Advanced/25. Cloud era Local Host Output.mp4113MB
  • 4. MapReduce Advanced/26. Final Module MapReduce Program.mp4106.21MB
  • 4. MapReduce Advanced/27. Strands.mp492.04MB
  • 4. MapReduce Advanced/28. File Path Filter.mp494.24MB
  • 4. MapReduce Advanced/29. Example.mp490.48MB
  • 4. MapReduce Advanced/3. HDFS File System.mp484.22MB
  • 4. MapReduce Advanced/30. Example Continue.mp490.99MB
  • 4. MapReduce Advanced/4. Combination of Word Count Functionality.mp481.44MB
  • 4. MapReduce Advanced/5. Word Count With Tools.mp495.82MB
  • 4. MapReduce Advanced/6. Log Processor.mp4111.65MB
  • 4. MapReduce Advanced/7. Advanced MapReduce and PIG.mp491.51MB
  • 4. MapReduce Advanced/8. More on Advanced MapReduce.mp484.57MB
  • 4. MapReduce Advanced/9. Executing Similar Program.mp466.83MB
  • 5. HIVE Fundamentals/1. Introduction to HIVE.mp434.83MB
  • 5. HIVE Fundamentals/10. Dynamic Partition True.mp49.53MB
  • 5. HIVE Fundamentals/11. Hive Bucketing.mp427.24MB
  • 5. HIVE Fundamentals/12. Decomposing Data Sets.mp420.79MB
  • 5. HIVE Fundamentals/13. Hive Joins.mp429.79MB
  • 5. HIVE Fundamentals/14. Hive Joins Continue.mp436.31MB
  • 5. HIVE Fundamentals/15. Skew Join.mp47.82MB
  • 5. HIVE Fundamentals/16. What is Serde.mp450.25MB
  • 5. HIVE Fundamentals/17. Serde in Hive.mp450.74MB
  • 5. HIVE Fundamentals/18. Hive UDF.mp452.65MB
  • 5. HIVE Fundamentals/19. Hive UDF Continues.mp452.74MB
  • 5. HIVE Fundamentals/2. HIVE Data Base.mp438.77MB
  • 5. HIVE Fundamentals/20. More Hive UDF.mp442.06MB
  • 5. HIVE Fundamentals/21. Maxcale Function.mp413.49MB
  • 5. HIVE Fundamentals/22. Hive Example Use Case.mp463.19MB
  • 5. HIVE Fundamentals/3. Load Data Command.mp438.75MB
  • 5. HIVE Fundamentals/4. How to Replace Column.mp429.19MB
  • 5. HIVE Fundamentals/5. External Table.mp432.93MB
  • 5. HIVE Fundamentals/6. HIVE Metastore.mp414.47MB
  • 5. HIVE Fundamentals/7. What is Hive Partition.mp450.23MB
  • 5. HIVE Fundamentals/8. Creating Partition Table.mp434.92MB
  • 5. HIVE Fundamentals/9. Insert Overwrite Table.mp418.81MB
  • 6. Hive Advanced/1. Introduction to Hive Concepts and Hands-on Demonstration.mp437.14MB
  • 6. Hive Advanced/10. Static and Dynamic Partitioning.mp437.83MB
  • 6. Hive Advanced/11. More on Dynamic Partitioning.mp469.43MB
  • 6. Hive Advanced/12. Alter Command.mp440.23MB
  • 6. Hive Advanced/13. MSCK Command.mp481.28MB
  • 6. Hive Advanced/14. Bucketing.mp456.65MB
  • 6. Hive Advanced/15. Table Sampling.mp418.05MB
  • 6. Hive Advanced/16. Archiving.mp418.46MB
  • 6. Hive Advanced/17. Ranks.mp468.93MB
  • 6. Hive Advanced/18. Creating Views.mp468.68MB
  • 6. Hive Advanced/19. Advantages of views and Altering Views.mp465.41MB
  • 6. Hive Advanced/2. Internal Table and External Table.mp436.98MB
  • 6. Hive Advanced/20. What is Indexing.mp433.42MB
  • 6. Hive Advanced/21. Compact and Bitmap Index Running Time.mp438.15MB
  • 6. Hive Advanced/22. Hive Commands in Bash Shell.mp436.82MB
  • 6. Hive Advanced/23. Hive Variables - Hiveconf.mp424.39MB
  • 6. Hive Advanced/24. Hive Variables -Hiveconf in Bash Shell.mp428.76MB
  • 6. Hive Advanced/25. Configuring a Hive Var Variable.mp460.09MB
  • 6. Hive Advanced/26. Variable Substitution.mp48.41MB
  • 6. Hive Advanced/27. Word Count.mp455.15MB
  • 6. Hive Advanced/28. Hive Architecture.mp416.98MB
  • 6. Hive Advanced/29. Parallelism in Hive.mp445.07MB
  • 6. Hive Advanced/3. Inserting Data Into Tables.mp477.14MB
  • 6. Hive Advanced/30. Table Properties in Hive.mp429.5MB
  • 6. Hive Advanced/31. Null Format Properties.mp432.21MB
  • 6. Hive Advanced/32. Null Format Properties Continues.mp415.98MB
  • 6. Hive Advanced/33. Purge Commands in Hives.mp427.53MB
  • 6. Hive Advanced/34. Slowing Changing Dimension.mp447.49MB
  • 6. Hive Advanced/35. Implement the SCD.mp453.32MB
  • 6. Hive Advanced/36. Example of the SCD.mp430.44MB
  • 6. Hive Advanced/37. How to Load XML Data in Hive.mp426.75MB
  • 6. Hive Advanced/38. How to Load XML Data in Hive Continue.mp451.17MB
  • 6. Hive Advanced/39. No Drop and Offline in Hive.mp454.42MB
  • 6. Hive Advanced/4. Date and Mathematical Functions.mp461.73MB
  • 6. Hive Advanced/40. Immutable Table.mp460.78MB
  • 6. Hive Advanced/41. How to Create Hive RC File.mp453.64MB
  • 6. Hive Advanced/42. Multiple Tables.mp437.71MB
  • 6. Hive Advanced/43. Merging Hive Created Files and Function rLike.mp426.68MB
  • 6. Hive Advanced/44. Various Configuration Settings in Hive.mp455.07MB
  • 6. Hive Advanced/45. Various Configuration Settings in Hive Continues.mp410.79MB
  • 6. Hive Advanced/46. Compressing Various Files in Hive.mp432MB
  • 6. Hive Advanced/47. Different Modes in Hive.mp420.34MB
  • 6. Hive Advanced/48. File Compression in Hive.mp431.81MB
  • 6. Hive Advanced/49. Type of Mode in Hive.mp421.9MB
  • 6. Hive Advanced/5. Conditional Statements.mp432.51MB
  • 6. Hive Advanced/50. Comparison of Internal and External Table.mp448.74MB
  • 6. Hive Advanced/6. Explode and Lateral View.mp481.07MB
  • 6. Hive Advanced/7. Sorting.mp436.19MB
  • 6. Hive Advanced/8. Join.mp494.56MB
  • 6. Hive Advanced/9. Map Join.mp413.96MB
  • 7. PIG Fundamentals/1. Introduction to Pig.mp417.17MB
  • 7. PIG Fundamentals/10. CoGroup Operator.mp444.98MB
  • 7. PIG Fundamentals/11. Join and Cross operators in Pig.mp429.26MB
  • 7. PIG Fundamentals/12. Join and Cross operators in Pig Continues.mp444.34MB
  • 7. PIG Fundamentals/13. Union and Split Operators in Pig.mp436.01MB
  • 7. PIG Fundamentals/14. More on Split Operators.mp444.91MB
  • 7. PIG Fundamentals/15. Filter Distinct and For each.mp462.41MB
  • 7. PIG Fundamentals/16. Pig Functions.mp410.88MB
  • 7. PIG Fundamentals/17. Pig Functions Continues.mp452.7MB
  • 7. PIG Fundamentals/18. Input Data Size.mp450.76MB
  • 7. PIG Fundamentals/2. Features of Apache Pig.mp421.23MB
  • 7. PIG Fundamentals/3. Pig Vs Hive.mp425.1MB
  • 7. PIG Fundamentals/4. Apache Pig Local and MR Modes.mp411.34MB
  • 7. PIG Fundamentals/5. Launching Local Modes.mp448.78MB
  • 7. PIG Fundamentals/6. Data Types in Pig.mp445.37MB
  • 7. PIG Fundamentals/7. Pig Commands - Store and Load.mp444.33MB
  • 7. PIG Fundamentals/8. Load Command.mp437.56MB
  • 7. PIG Fundamentals/9. Pig Commands - Group.mp440.36MB
  • 8. PIG Advanced/1. Getting Started with PIG.mp422.97MB
  • 8. PIG Advanced/10. Debugging.mp472.01MB
  • 8. PIG Advanced/11. Grunt Shell.mp449.86MB
  • 8. PIG Advanced/12. UDFs and Piggy Bank.mp460.18MB
  • 8. PIG Advanced/2. Installation Process.mp469.82MB
  • 8. PIG Advanced/3. PIG Latin.mp460.86MB
  • 8. PIG Advanced/4. Uploading the File in HDFS.mp486.1MB
  • 8. PIG Advanced/5. PIG Script.mp481.74MB
  • 8. PIG Advanced/6. PIG Latin Basics.mp467.29MB
  • 8. PIG Advanced/7. Up and Running with Pig.mp449.65MB
  • 8. PIG Advanced/8. Loading and Storage.mp451.83MB
  • 8. PIG Advanced/9. Loading and Storage Continue.mp453.58MB
  • 9. NoSQL Fundamentals/1. A Brief History of NoSQL.mp457.63MB
  • 9. NoSQL Fundamentals/10. Applying Consistency Method.mp457.04MB
  • 9. NoSQL Fundamentals/11. Choosing ACID or BASE.mp465.65MB
  • 9. NoSQL Fundamentals/12. Developing Application on NoSQL.mp440.2MB
  • 9. NoSQL Fundamentals/13. Semantics.mp458.61MB
  • 9. NoSQL Fundamentals/14. Public Cloud.mp448.27MB
  • 9. NoSQL Fundamentals/15. Managing Availability.mp460.35MB
  • 9. NoSQL Fundamentals/16. Versioning Data.mp459.06MB
  • 9. NoSQL Fundamentals/2. Schema Agnostic.mp447.44MB
  • 9. NoSQL Fundamentals/3. Nonrelational.mp448.81MB
  • 9. NoSQL Fundamentals/4. Enterprise NoSQL.mp452.46MB
  • 9. NoSQL Fundamentals/5. Recent Trends in IT.mp454.59MB
  • 9. NoSQL Fundamentals/6. NoSQL Benefits and Precautions.mp462.9MB
  • 9. NoSQL Fundamentals/7. Managing Different Data Types.mp453.99MB
  • 9. NoSQL Fundamentals/8. Triple and Graph Store.mp458.15MB
  • 9. NoSQL Fundamentals/9. Hybrid NoSQL Databases.mp450.46MB