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Google DataFlow @

Google Dataflow-An Overview and programming languages are supported by Google Dataflow

Google Dataflow is a cloud-based data processing service that allows developers to easily and efficiently process large volumes of data….

python @

Python : extend() and append() – Purpose and difference – A Comprehensive Guide with example

When working with lists in Python, two common methods used for adding elements to a list are extend() and append()….

Python-Pandas : Rename columns dynamically without specifying the name of the index column using Python

To rename columns dynamically without specifying the name of the index column, you can retrieve the index column name using…

Hive @

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 @

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 : 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 : 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 @

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 @

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…