Map-side join is a method of joining two datasets in PySpark where one dataset is…
Category: hive
Bigdata – Hive
Hive : Map-side join – A technique used in Hive to join large datasets efficiently.
Map-side join is a technique used in Hive to join large datasets efficiently. It is a type of join that…
Hive : Hive Table Properties : How are Hive Table Properties used?
One of the key features of Hive is the ability to define table properties, which can be used to control…
Hive : Implementation of UDF in Hive using Python. A Comprehensive Guide
A User-Defined Function (UDF) in Hive is a function that is defined by the user and can be used in…
Hive : Hive metastore and its importance.
The Hive Metastore is an important component of the Apache Hive data warehouse software. It acts as a central repository…
Hive : Hive Optimizers: A Comprehensive Guide
Hive is a data warehousing tool that provides a SQL-like interface for querying large datasets stored in Hadoop Distributed File…
Hive : Comparison between the ORC and Parquet file formats in Hive
ORC (Optimized Row Columnar) and Parquet are two popular file formats for storing and processing large datasets in Hadoop-based systems…
Hive : Different types of storage formats supported by Hive.[16 Formats supported by Hive]
Apache Hive is an open-source data warehousing tool that was developed to provide an SQL-like interface to query and analyze…
Hive : How to load JSON and nested JSON in Hive and how to view it [Sample code with Data]
In this article, I’ll walk you through how to read JSON data from a Hive table using an example with…
Hive : Learn hive external functions and how can you use external functions in Hive?
Hive is built on top of Hadoop, which is a distributed file system and a framework for processing large data…
Hive : Hive custom input/output formats .How can you use custom input/output formats in Hive?
Introduction to Custom Input/Output Formats in Hive: Hive allows users to define custom input and output formats to read and…