Author: Team AHT
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It is a case sensitive, non-mutable sequence of characters marked under quotation. It can contain alphabets, digits, white spaces and special characters. In Python, a…
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Regular expressions (regex) are a powerful tool for matching patterns in text. Python’s re module provides functions and tools for working with regular expressions. Here’s…
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1.Exploratory Data Analysis (EDA) with Pandas in Banking – Converted in Pyspark While searching for A free Pandas Project on Google Found this link –Exploratory…
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String manipulation is a common task in data processing. PySpark provides a variety of built-in functions for manipulating string columns in DataFrames. Below, we explore…
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Window functions in PySpark allow you to perform operations on a subset of your data using a “window” that defines a range of rows. These…
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PySpark provides a powerful API for data manipulation, similar to pandas, but optimized for big data processing. Below is a comprehensive overview of DataFrame operations,…
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Let us go through the Project requirement:- 1.Let us create One or Multiple dynamic lists of variables and save it in dictionary or Array or…
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I wrote a Python code or I created a Python script, and it executed successfully So what does it Mean? This will be the most…
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Spark SQL supports several types of joins, each suited to different use cases. Below is a detailed explanation of each join type, including syntax examples…
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Temporary functions allow users to define functions that are session-specific and used to encapsulate reusable logic within a database session. While both PL/SQL and Spark…
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Apache Spark, including PySpark, automatically optimizes job execution by breaking it down into stages and tasks based on data dependencies. This process is facilitated by…
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explain a typical Pyspark execution Logs A typical PySpark execution log provides detailed information about the various stages and tasks of a Spark job. These…
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RDD (Resilient Distributed Dataset) is the fundamental data structure in Apache Spark. It is an immutable, distributed collection of objects that can be processed in…
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Yes, DataFrames in PySpark are lazily evaluated, similar to RDDs. Lazy evaluation is a key feature of Spark’s processing model, which helps optimize the execution…
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Big Data Lake: Data Storage HDFS is a scalable storage solution designed to handle massive datasets across clusters of machines. Hive tables provide a structured…
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Big data and big data lakes are complementary concepts. Big data refers to the characteristics of the data itself, while a big data lake provides…
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Window functions, also known as analytic functions, perform calculations across a set of table rows that are somehow related to the current row. This is…
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Common Table Expressions (CTEs) are a useful feature in SQL for simplifying complex queries and improving readability. Both Oracle PL/SQL and Apache Hive support CTEs,…
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Function Name Description Example Usage Result CONCAT Concatenates two strings. SELECT CONCAT(‘Oracle’, ‘PL/SQL’) FROM dual; OraclePL/SQL ` ` (Concatenation) Concatenates two strings. LENGTH Returns the…
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Date and Time manipulation in Oracle SQL In Oracle SQL, date and time manipulation is essential for many database operations, ranging from basic date arithmetic…