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🔥 Databricks Lakebase: A New Era of Databases for AI and Real-Time Applications
The modern data landscape is evolving at lightning speed. Traditional architectures that separate operational databases from analytics and AI platforms are showing their age. As businesses move toward AI-native applications… Read more
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🏗️ The 5 Levels of Building Data Pipelines: From Basics to Architecture
In today’s data-driven world, building scalable, reliable, and observable data pipelines is at the core of modern analytics. But not all pipelines—and not all data engineers—are the same. There’s a… Read more
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🚀 Apache Spark 4.0: A Complete Guide for Data Engineers
Apache Spark 4.0 marks a major milestone in the evolution of distributed data processing. With enhanced SQL support, a matured Spark Connect architecture, Python API advances, streaming upgrades, and stronger… Read more
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Databricks vs Snowflake: A Complete Comparison for 2025
In the ever-evolving world of data, two platforms have emerged as industry leaders: Databricks and Snowflake. While both are powerful, they serve different purposes, cater to different teams, and excel… Read more
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Data as a Service(DaaS) vs Data As a Product(DaaP)
The terms Data as a Service (DaaS) and Data as a Product (DaaP) are often used in modern data strategies, but they refer to different paradigms in how data is… Read more
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Idempotent vs Non-idempotent ETL
Idempotent ETL Definition:An idempotent ETL operation can be executed multiple times without changing the end result after the first successful execution. Key Idea: “Running it again doesn’t cause duplicate data,… Read more
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Common Data loading models
1. Full Load – Truncate & Reload 2. Incremental Load – Append or Upsert 3. Differential Load – Snapshot Comparison 4. Change Data Capture (CDC) – Log or Trigger Based… Read more
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Layers Of Data Processing- Raw, Staging, Bronze, Silver, Gold, Harmonized, Archival
Data layers like Raw, Staging, Bronze, Silver, Gold, and harmonized represent different stages in the data processing pipeline, commonly known as a data processing or data transformation pipeline. Each layer… Read more
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Data Lake-history, pros and cons with real world examples
A data lake is a centralized repository that allows organizations to store large volumes of raw and unstructured data in its native format until it is needed. Unlike a traditional… Read more
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Azure Data Engineering Comprehensive Learning Guide
Embark on a transformative learning journey in Azure Data Engineering, where you will delve into the core principles, tools, and best practices for designing and implementing robust data solutions in… Read more
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About the author
Sophia Bennett is an art historian and freelance writer with a passion for exploring the intersections between nature, symbolism, and artistic expression. With a background in Renaissance and modern art, Sophia enjoys uncovering the hidden meanings behind iconic works and sharing her insights with art lovers of all levels.
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