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 : 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 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…
Python : Steps to Upgrade Python 3.7 from Python 2.7 [This can be used for any lower version to upper version]
Upgrading from Python 2.7 to Python 3.7 requires you to install Python 3.7 and then re-point all the libraries installed…
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…