Learn Data Architecture

A structured collection of FREE tutorials to build your data architecture expertise

Structured Learning Path

Follow our carefully structured learning path to master data architecture concepts step by step
01
Introduction to Data Architecture

Introduction

Foundational Concepts 5 min read
Data architecture is essential for data scientists. It's the foundation on which data scientists build their models and insights.
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02
Structured Data

Data Types - Structured Data

Data Fundamentals 3 min read
In this article, we will explore the typical flow of structured data before it reaches the hands of data scientists or business analysts.
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03
Unstructured Data

Data Types - UnStructured Data

Data Fundamentals 3 min read
In the realm of data science, unstructured data presents a unique challenge and opportunity for organizations.
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04
Semi-Structured Data

Data Types - Semi-Structured Data

Data Fundamentals 8 min read
In this chapter, we explore the captivating realm of semi-structured data, where tags and markers define hierarchies and structures.
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05
Datawarehousing

Datawarehousing

Data Storage 10 min read
The data warehouse serves as the cornerstone for organizing and analyzing structured data.
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06
DataLakes

DataLakes

Data Storage 2 min read
Welcome to the realm of data lakes, where structured, semi-structured, and unstructured data come together in a unified storage system.
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07
DataLakehouse

DataLakeHouse

Modern Architecture 2 min read
In this blog post, we will explore the concept of a data lakehouse, which aims to address the challenges associated with integrating structured and unstructured data.
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08
Data Mesh

Data Mesh

Modern Architecture 2 min read
The data mesh aims to enable self-service access to reliable, trustworthy data products. Rather than having a centralized data team control and gatekeep everything, ownership is distributed across domain teams closer to the source.
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09
Streaming Data Architecture

Streaming Data Architecture

Real-time Data 2 min read
In this blog post, I'm going to get you up to speed with streaming data and its profound impact on data science.
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10
Vector Databases

Vector Databases

Advanced Concepts 2 min read
In the vast landscape of data science, vector databases have emerged as a powerful tool for storing and leveraging vector embeddings.
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11
Feature Stores

Feature Stores

ML Infrastructure 2 min read
In this blog post, we'll delve into the concept of feature stores and their pivotal role in machine learning workflows.
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12
Data Contracts

Data Contracts: Don't Leave Quality To Chance

Data Governance 2 min read
In this blog post, we'll explore the concept of data contracts and their importance in ensuring data quality across organizations.
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13
Data Fabric

Data Fabric: Realize the Data Mesh

Modern Architecture 5 min read
Explore how Data Fabric can help realize the principles of Data Mesh, creating a robust and flexible data architecture for modern enterprises.
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