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Read our data engineering blog to gain extra insight into how to build the tools, infrastructure, & frameworks to support data fluency in your business.
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Data Engineering

Hadoop Architecture Explained: Core Components and How They Work

This post breaks down the complex architecture of Hadoop into clear, digestible components—ideal for data professionals seeking to understand how it enables scalable, fault-tolerant big data processing.
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Ashlyn Brooks

June 4, 2025

Data Engineering

Database Sharding: Examples, Strategies, Tools, and More

Learn what database sharding is, how it works, how it differs from partitioning and replication, and what strategies you can use for sharding.
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Marie Fayard

June 4, 2025

Data Engineering

What Is Data Partitioning? A Complete Guide for Beginners

This guide explains data partitioning in simple terms, covering types, use cases, tools, and implementation strategies to help optimize database performance.
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Srujana Maddula

May 10, 2025

Data Engineering

What Is a Data Lake? Definition, Architecture, and Use Cases

Explore what a data lake is, how it fits into modern data architecture, and how it enables scalable, flexible, data-driven strategies.
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Patrick Brus

April 28, 2025

Data Engineering

Sharding vs Partitioning: Understanding Database Distribution

This post demystifies sharding and partitioning, helping you decide which method to use for scaling databases efficiently. Learn key concepts, examples, and tools.
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Tim Lu

April 15, 2025

AWS

AWS Certifications for Data Engineers in 2025: A Complete Guide

Learn how to choose the right AWS certification and confidently prepare as a data engineer.
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Laiba Siddiqui

April 14, 2025

Azure

Top 37 Azure Data Engineering Interview Questions for 2025

Are you applying for a job that requires Azure data engineering knowledge? This guide has you covered. Discover the top basic, intermediate, and advanced Azure data engineering questions to ace your upcoming interview.
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Dhiraj Kumar

April 7, 2025

Data Engineering

What is a DBMS? Key Concepts Explained with Examples

A DBMS keeps data organized, secure, and easy to access. It helps businesses and applications store information without the mess so everything stays in the right place and is ready when you need it.
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Laiba Siddiqui

March 24, 2025