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Data Transformation

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Java Captain
Java Captain
Apr 29, 2025 · Fundamentals

Java Stream API: Concepts, Operations, and Practical Examples

This article introduces the concept and benefits of Java Stream programming, explains its core features such as lazy evaluation, parallel processing, and functional style, and provides detailed examples of creating streams, common intermediate and terminal operations, and practical use cases for data manipulation.

Data TransformationFunctional ProgrammingJava
0 likes · 34 min read
Java Stream API: Concepts, Operations, and Practical Examples
Test Development Learning Exchange
Test Development Learning Exchange
Nov 20, 2024 · Fundamentals

Data Reshaping with Pandas: melt and pivot Methods

This article teaches how to use Pandas for data reshaping, covering the melt method for converting wide-format data to long-format and the pivot method for the reverse transformation, with practical code examples.

CSVData TransformationDataFrames
0 likes · 7 min read
Data Reshaping with Pandas: melt and pivot Methods
Test Development Learning Exchange
Test Development Learning Exchange
Nov 10, 2024 · Fundamentals

20 Essential Pandas Data Processing Methods with Code Examples

This article provides a comprehensive overview of 20 essential Pandas data processing methods with detailed code examples covering statistics, data cleaning, transformation, filtering, merging, grouping, sorting, reshaping, aggregation, window functions, time series analysis, conditional selection, indexing, slicing, visualization, type conversion, data filling, filtering, renaming, and import/export operations.

Data ProcessingData TransformationData Visualization
0 likes · 16 min read
20 Essential Pandas Data Processing Methods with Code Examples
Model Perspective
Model Perspective
Sep 6, 2023 · Fundamentals

How Box‑Cox Transformation Turns Skewed Data Into Normal Distributions

Box‑Cox transformation, introduced by Box and Cox in 1964, corrects skewed data to approximate normality by optimizing a λ parameter via maximum likelihood, enabling more accurate statistical modeling and machine‑learning predictions, as demonstrated with a crime‑rate dataset and Shapiro‑Wilk tests.

Box-CoxData TransformationNormality
0 likes · 8 min read
How Box‑Cox Transformation Turns Skewed Data Into Normal Distributions
vivo Internet Technology
vivo Internet Technology
Apr 20, 2022 · Big Data

Implementing Field Lineage in Spark SQL: A Technical Deep Dive

The article details how to add field‑lineage tracking to Spark SQL by creating a custom SparkSessionExtension that injects a check‑analysis rule and a parser, which capture INSERT statements, analyze the physical plan, and generate a JSON mapping of source‑to‑target fields for data governance.

Data TransformationField LineageLogical Plan
0 likes · 9 min read
Implementing Field Lineage in Spark SQL: A Technical Deep Dive
Selected Java Interview Questions
Selected Java Interview Questions
Mar 8, 2022 · Databases

Understanding and Using CASE Expressions in SQL

This article explains the concept, syntax, and practical applications of SQL CASE expressions, covering simple and searched forms, row‑to‑column pivots, statistical transformations, conditional SELECT and UPDATE statements, and CHECK constraints, with detailed code examples and best‑practice tips.

CASE expressionData TransformationDatabase
0 likes · 14 min read
Understanding and Using CASE Expressions in SQL
Art of Distributed System Architecture Design
Art of Distributed System Architecture Design
Apr 23, 2016 · Fundamentals

Designing Low‑Latency Applications: Simplicity, Data Transformation, and Architecture

The article explains how building low‑latency applications relies on simplicity, minimizing data transformations, using lightweight libraries, and separating business from infrastructure code to achieve high performance, maintainability, and reduced operational costs.

Data TransformationLow LatencyPerformance
0 likes · 10 min read
Designing Low‑Latency Applications: Simplicity, Data Transformation, and Architecture