Tag: big_data_interview
PySpark function that is used to convert angle measures from degrees to radians.
Within its extensive library of functions, radians plays a crucial role for users dealing with trigonometric operations. The radians function in…
PySpark function that is used to extract the quarter from a given date.
The quarter function in PySpark is used to extract the quarter from a given date, aiding in the analysis and…
Raising each element of a column to the power of a specified value in PySpark
In PySpark, the pow function is used to raise each element of a column to the power of a specified…
Dividing an ordered dataset into a specified number of approximately equal segments using PySpark
The ntile function in PySpark is used for dividing an ordered dataset into a specified number of approximately equal segments,…
How to find the date of the first occurrence of a specified weekday after a given date.
PySpark, the Python API for Apache Spark, offers a plethora of functions for handling big data efficiently. One such function…
Hive Metastore Server : The centralized metadata repository that stores essential information about Hive tables
At the heart of Hive’s functionality lies the Hive Metastore Server, a crucial component that centralizes metadata management. In this…
Dynamic vs. Static partitioning in Hive: Choosing the right strategy for data management
In this article, we’ll dive into the distinctions between dynamic and static partitioning in Hive, providing detailed examples and insights…
Deep Dive into Static Partitioning in Hive
Static partitioning is a technique in Hive that allows you to manually define and manage partitions in a table. Unlike…
Explore the power of dynamic partitioning in Hive
Dynamic partitioning is a feature in Hive that allows you to organize data within tables based on one or more…
Advantages of using external tables in Hive
In the world of big data and data analytics, Apache Hive plays a pivotal role by providing a SQL-like interface…
