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Why Idempotency Is So Important in Data Engineering
In data engineering, failures are the norm: jobs crash, networks timeout, Airflow retries tasks, Kafka replays messages, and backfills rerun months of data. In...
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REST API Calls for Data Engineers: A Practical Guide with Examples
Introduction As a Data Engineer, you rarely work only with databases. Modern data pipelines frequently ingest data from REST APIs—whether it’s pulling data fro...
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Navigating Database Trends: NoSQL, PostgreSQL, & Beyond for Modern Data
NoSQL Databases Born out of the need for scalability, flexibility, and performance that traditional relational databases sometimes struggled to provide for mas...
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Day 2: Data Engineering vs Data Science vs Data Analytics
Why Compare These Roles? In modern data teams, Data Engineering, Data Science, and Data Analytics are three core pillars—but many people confuse them. - Knowin...
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Navigating the Future: Key Data Engineering Trends for 2024 and Beyond
In the rapidly evolving landscape of data, data engineering stands as the backbone of every data‑driven organization. As businesses increasingly rely on data fo...
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Day 10: Partitioning vs Bucketing - The Spark Optimization Guide Every Data Engineer Needs
Why Partitioning Matters in Spark Example python df.write.partitionBy'year', 'month'.parquet'/sales' This creates folders such as: year=2024/month=01/ Benefits...
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🔥 Day 7: PySpark Joins, Unions, and GroupBy Guide
1. Joins in PySpark — The Heart of ETL Pipelines A join merges two DataFrames based on keys, similar to SQL. Basic Join python df.joindf2, df.id == df2.id, 'in...
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🔥 Day 5: Introduction to DataFrames - The Most Importantce of Spark API
What is a DataFrame? A DataFrame in Spark is a distributed, column‑based, optimized table‑like structure used for efficient data processing. - Feels like SQL -...
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🔥 Day 3: RDDs - The Foundation of Spark
!Cover image for 🔥 Day 3: RDDs - The Foundation of Sparkhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%2...
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Data Pipeline Tools Compared: Key Criteria to Pick the Right One
Data’s all around us — from CRM systems and cloud apps to spreadsheets and data warehouses. When teams are wrangling numbers across 15+ platforms and spending m...
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WTF is Distributed Data Warehousing?
What is Distributed Data Warehousing? A data warehouse is a centralized repository where an organization stores, organizes, and makes data readily available fo...
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Clean Code in ETL:How Python, Go, and SQL Each Teach You to Think Differently
!Cover image for Clean Code in ETL:How Python, Go, and SQL Each Teach You to Think Differentlyhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cove...