Data Architecture Concepts Every Data Analyst Must Know

8 Data Storage Concepts Every Data Analyst Needs to Know (Data Lake, Warehouse, Lakehouse and More)

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In this video, I break down all 8 data storage concepts in a way that actually makes sense, using simple analogies that stick with you long after the video ends.
Here is everything covered in this video:

Data Lake - centralized raw storage for structured, unstructured, and semi-structured data
Data Warehouse - clean, organized, and optimized storage built for fast business queries
Data Mart - a department-specific slice of the Data Warehouse built for focused teams
Data Lakehouse - a modern architecture that combines the flexibility of a Data Lake with the performance of a Data Warehouse
Data Swamp - what a Data Lake quietly becomes when nobody is managing it properly
Operational Data Store (ODS) - the real-time layer that sits between your source systems and your Warehouse
Data Hub - not a storage system, but the central connector that standardizes and routes data across your entire organization
Data Reservoir - the most mature and governed version of a Data Lake, built to stay clean and usable for the long run

Whether you are just getting started in data analytics or preparing for your next technical interview, understanding these concepts will give you a serious edge over everyone else walking into that room.

Below are some useful links for your data analytics journey.
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TOOLS YOU NEED TO LEARN
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SQL
▸ SQLZoo (Free): https://sqlzoo.net
▸ Mode SQL Tutorial: https://mode.com/sql-tutorial
Python
▸ Kaggle Python Course (Free): https://www.kaggle.com/learn/python
▸ Python Beginner's Guide: https://wiki.python.org/moin/BeginnersGuide
Excel / Google Sheets
▸ Excel for Beginners (Udemy): https://www.udemy.com/course/useful-excel-for-beginners
Power BI
▸ Microsoft Learn – Power BI (Free): https://learn.microsoft.com/en-us/training/powerplatform/power-bi
Tableau
▸ Tableau Free Training: https://www.tableau.com/learn/training
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COURSES & CERTIFICATIONS
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Google Data Analytics Certificate (Best for Beginners)
https://www.coursera.org/professional-certificates/google-data-analytics
IBM Data Analyst Professional Certificate
https://www.coursera.org/professional-certificates/ibm-data-analyst
Data Analyst in Python – DataCamp
https://www.datacamp.com/tracks/data-analyst-in-python
Microsoft Power BI Data Analyst Certification
https://learn.microsoft.com/en-us/credentials/certifications/power-bi-data-analyst-associate/
SQL for Data Science – UC Davis / Coursera
https://www.coursera.org/learn/sql-for-data-science
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FREE PRACTICE RESOURCES
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Kaggle – Datasets, Notebooks & Competitions
https://www.kaggle.com
Maven Analytics – Real-World Projects
https://www.mavenanalytics.io
StrataScratch – SQL & Python Interview Prep

https://www.stratascratch.com
LeetCode – SQL Interview Practice
https://leetcode.com/problemset/database

FREE DATA SOURCES FOR DATA ANALYSTS
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Government & Public Data
▸ Data.gov (US Government Datasets): https://www.data.gov
▸ CDC – Health & Disease Data: https://www.cdc.gov/datastatistics
▸ Census Bureau – Population & Demographics: https://www.census.gov/data
▸ World Bank Open Data: https://data.worldbank.org
▸ WHO Global Health Data: https://www.who.int/data
▸ NASA Open Data: https://data.nasa.gov
▸ European Union Open Data: https://data.europa.eu

General Datasets
▸ Kaggle Datasets: https://www.kaggle.com/datasets
▸ Google Dataset Search: https://datasetsearch.research.google.com
▸ UC Irvine ML Repository: https://archive.ics.uci.edu
▸ FiveThirtyEight Datasets: https://data.fivethirtyeight.com
▸ Our World in Data: https://ourworldindata.org

Finance & Economics
▸ FRED – Federal Reserve Economic Data: https://fred.stlouisfed.org
▸ Yahoo Finance: https://finance.yahoo.com
▸ IMF Data: https://www.imf.org/en/Data

Climate & Environment
▸ NOAA Climate Data: https://www.ncdc.noaa.gov/cdo-web
▸ EPA Environmental Data: https://www.epa.gov/data

Business & Marketing
▸ Statista (Partial Free): https://www.statista.com
▸ Google Trends: https://trends.google.com
▸ Yelp Open Dataset: https://www.yelp.com/dataset
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Видео Data Architecture Concepts Every Data Analyst Must Know канала Data Psychology With Anjali