Learn Big Data Testing with Hadoop and Hive with Pig Script

In this video tutorial, user would get the information for Hadoop installation. Also, they will get to know how to start and stop hadoop services.

In this video, user would get the details information for hadoop services when running on Ubuntu Machine. It gives the information how they can execute the command in Terminal.

In this session, user would get the details about hadoop services and JPS command in detail.

In this video, user would get to know practical example of how to work on different hadoop command i.e. create file, directories etc.

In this video, user would get to know practical example of how to work on different hadoop command i.e. moving file within cluster, head, tail, remove etc.

In this session, user would get to know the Hadoop Architecture in detail with NameNode and  DataNode features.

In this session, user would get to know the all three modes in which Hadoop Can be executed.

In this session, user would get to know all the main components of Hadoop in details and their functionalities.

This video tutorial covered the 3 V's available in Big Data Hadoop with detailed information.

In this video tutorial, user would get the detailed information about the different data supports available in Big Data Hadoop. It covered the information with different testing data. 

In this video, user would get to know the major differences between Hadoop 1.x version and Hadoop 2.x Version in detail.

In this session, user would get to know the HDFS in detail and Hadoop Daemons in details with their functionalities.

In this session, user would get to know the hadoop block size and input split in details. Also, they will get the knowledge how they can increase or decrease the block size as per the need of the project.

In this session, user would get the details overview for Hive Tool which is used with Hadoop for the data processing.

In this session, user would get the detail view of Hive installation and how to open the Hive terminal for query/table creation.

In this session, students would get the knowledge of how to create queries in Hive and with different tables and how we insert records in tables. 

In this session, user would get to know the Hive characteristics and their Features in detail.

In this session, user would get to know the different types of Hive tables and what all are the major differences for different types of Hive tables available in details.

In this session, user would get to know how Hive is different with our traditional RDBMS in details.  

In this session, user would get to know the different Hive Components in detail with diagram.

In this session, students would get the knowledge of Managed Table creation i.e. default table of Hive and how we insert values in managed tables.

In this session, user would get the detail information about how we can create external table and how we can insert data into external table.

In this session, students would get to know the basic queries for Hive i.e. how to see database, how to see the table, how to see the schema of table, table creation, data insertion in table etc.

In this session, students would get the knowledge of different Join available in Hive and how we created our queries using these joins which is Inner Join, Left Outer Join and Right Outer Join etc. to fetch the records from multiple tables.

In this session, students would get the detailed knowledge of different Hive Partitions. In this video, I have included how Static Partition is implemented in real time projects.

In this session, students would get the detailed knowledge of dynamic Hive Partitions and its implementation in real time projects.

In this session, students would get the detailed knowledge on how they can implement the Indexes in Hive and how to query with Indexes and verify the different Indexes created on Hive table in real projects.

In this session, students would get the detailed knowledge on how they can implement the View in Hive and how to query the view and verify the different view created on Hive table in real projects.

In this session, students would get the detailed knowledge on how they can implement the Bucketing in Hive and how to query the using this and verify the different buckets created on Hive table in real projects.

In this session, students would be able to learn about how to implement the UDFs and how we can use these implemented UDFs through Hive CLI in detailed step by step information.

In this session, students would get the knowledge for the insert into and insert overwrite query implementation.

In this session, students get the practical implementation of the movielens use case implementation.

In this session, students get the practical implementation of the movielens use case implementation.

In this session, students get the detailed information how they can update or delete the records in Hive table that is by default not available in Hive's lower version.

In this session, students get the detailed information how they can can add columns in existing Hive table.

In this session, students get the detailed information how they can can get the Min, Max, Avg and Count value of Hive table using the inbuilt Hive functions.

In this session, students would get the information about the adding new tables from existing tables available in database in Hive terminal.

In this session, students get the knowledge how they can rename the table if they wanted using the inbuilt function provided by Hive.

In this session, students get the knowledge how they can replace columns with new schema from existing table schema using the inbuilt function provided by Hive.

In this session, students would get the knowledge of different types of Collections available in Hive and how it is implemented.