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Azure Cloud Computing Introduction

This is an introduction to Azure cloud computing, watch this session for free which was conducted in our live batch...

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Probability

What is Probability? This is 1st article in the series on Probability! Probability is the mathematics of uncertainty. It tells...

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📌 Key Insights on On-Premises in Data Engineering

1. Definition & Context On-premises refers to hosting all data systems (databases, ETL tools, storage, servers) within a company’s own...

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Measuring Data Quality: Pre-Ingestion vs Post-Ingestion

This is the 2nd article in data quality series. Check out the first one here: https://cloudanddatauniverse.com/introduction-to-data-quality-why-it-matters-and-how-to-ensure-it/ Ensuring high-quality data is...

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Understanding Primary Keys: The Essential Guide for Database and SQL Interviews

When working with databases, one of the most common questions asked in interviews is about primary keys. Knowing what a...

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Introduction to Data Quality: Why It Matters and How to Ensure It

In today’s data-driven world, organizations make critical decisions based on data. But what if the data they rely on is...

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Transforming RDDs into DataFrames in PySpark: A Comprehensive Guide

Article # 7: Data is growing at an unprecedented rate, with forecasts showing that the world will generate 100’s of...

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Saving PySpark RDDs as Text Files: A Comprehensive Guide

Data persistence is crucial in any data processing task. For those working with PySpark, saving Resilient Distributed Datasets (RDDs) as...

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Mastering PySpark RDD Filtering: A Comprehensive Guide

Article # 5: Data filtering is a crucial part of managing large datasets in big data analytics. In this guide,...

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Mastering PySpark RDDs: Sorting and Data Extraction Techniques

Article # 4: Efficient data manipulation is vital in big data processing with PySpark. Resilient Distributed Datasets (RDDs) play a...

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