11 - Hive Static and Dynamic Table Partition | HQL | Index & View | Cloudera| Hands on Training
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What you will learn from this video:
Hive: Table Partition , Indexing, View
In Apache Hive, partitioning is a technique used to organize data in a table based on specific columns, making it easier to manage and query large datasets. Hive supports both static and dynamic partitioning.
Static partitioning involves predefining the partition values when loading data into a table. Users explicitly specify the partition values during the data insertion process. This method is efficient for scenarios where the partitioning scheme is known in advance.
Dynamic partitioning, on the other hand, automatically determines the partition values based on the data being loaded. Hive dynamically evaluates the values and assigns them to appropriate partitions, simplifying the data loading process and allowing for more flexibility when dealing with evolving datasets.
Both static and dynamic partitioning in Hive contribute to improved query performance and enhanced data organization, catering to different use cases and preferences in managing and analyzing structured data.
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Before Watching this video kindly watch earlier video for proper understanding
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11. Hive static and dynamic table Partition, Indexing, view -Hands on Training in Cloudera Quickstart VM - • 11 - Hive Static and Dynamic Table Partiti...