Christopher Chung – Medium

Christopher Chung

𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗠𝗮𝘁𝘂𝗿𝗶𝘁𝘆 — 𝗛𝗼𝘄 𝘄𝗲𝗹𝗹 𝗱𝗼𝗲𝘀 𝘆𝗼𝘂𝗿 𝗼𝗿𝗴𝗮𝗻𝗶𝘀𝗮𝘁𝗶𝗼𝗻…

🌟 When shaping future plans for leveraging data, the ‘𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗠𝗮𝘁𝘂𝗿𝗶𝘁𝘆’ from Alteryx can be a helpful benchmark to…

5d ago

𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗠𝗮𝘁𝘂𝗿𝗶𝘁𝘆 — 𝗛𝗼𝘄 𝘄𝗲𝗹𝗹 𝗱𝗼𝗲𝘀 𝘆𝗼𝘂𝗿 𝗼𝗿𝗴𝗮𝗻𝗶𝘀𝗮𝘁𝗶𝗼𝗻…

5d ago

Published in
Polymath Data Lab

🔎 Palantir Foundry: Democratizing Data for Businesses

🔥 3 x key features that help unify data, develop with low code and unlock its potential through common language.

Dec 15, 2024

🔎 Palantir Foundry: Democratizing Data for Businesses

Dec 15, 2024

🔍 Data Governance: More Than Just an Overhead

🔥 It is not just another layer of business process to follow…

Nov 9, 2024

🔍 Data Governance: More Than Just an Overhead

Nov 9, 2024

Published in
Polymath Data Lab

‘For Loop’ in Python is Easy

A for loop is a control flow statement that allows you to execute a block of code multiple times, iterating over a sequence

Oct 14, 2024

‘For Loop’ in Python is Easy

Oct 14, 2024

Published in
Polymath Data Lab

Mastering API Calls in Python: A Step-by-Step Guide for Beginners

APIs, or Application Programming Interfaces, serve as the bridges that connect software, allowing them to communicate and share data.

Oct 13, 2024

Mastering API Calls in Python: A Step-by-Step Guide for Beginners

Oct 13, 2024

The Surprising Connection Between Gut Health and Mental Well-being: How to Boost Your Mood…

In recent years, the link between gut health and mental well-being has become a topic of significant interest among health researchers

Oct 6, 2024

The Surprising Connection Between Gut Health and Mental Well-being: How to Boost Your Mood…

Oct 6, 2024

Published in
Polymath Data Lab

Repartition vs Coalesce in PySpark: Key Differences and Performance Implications

Two commonly used methods for adjusting the number of partitions are repartition() and coalesce(). Let’s dive into when to use each function

Aug 13, 2024

Repartition vs Coalesce in PySpark: Key Differences and Performance Implications

Aug 13, 2024

Published in
Polymath Data Lab

Ordering Rows by Columns in PySpark — PySpark Tutorial

Sorting or ordering records by columns can help in pre-processing data, ensuring that your data is organised and ready for analysis.

Aug 11, 2024

Ordering Rows by Columns in PySpark — PySpark Tutorial

Aug 11, 2024

Optimizing Apache Spark Performance: Top Strategies for Faster Big Data Processing

This article will guide you through the top strategies and best practices for optimizing Apache Spark for accelerated big data processing.

Aug 11, 2024

Optimizing Apache Spark Performance: Top Strategies for Faster Big Data Processing

Aug 11, 2024

Mastering Data Sorting with PySpark OrderBy: A Comprehensive Guide

The ability to sort data effectively can influence the performance and speed of data processing tasks.

Aug 4, 2024

Mastering Data Sorting with PySpark OrderBy: A Comprehensive Guide

Aug 4, 2024

Christopher Chung

Christopher Chung

Data Engineering | Management | Governance | Strategy | Leadership | Palantir | Apache Spark | SQL https://www.linkedin.com/in/yohan-chung/

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