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Data Mining: Data Warehouse & Data Crucible

by Gate Smashers

Data Mining

Data Warehouse & Data Crucible

14 Modules 1hr 28min medium
DataScienceAIBigData
Free to enroll

About this course

Data Warehousing and Data Mining are essential for managing and analyzing vast amounts of data, helping businesses make informed decisions. Whether you are a beginner, student, or preparing for competitive exams, certifications, or job interviews, this complete playlist covers everything you need to become a data expert! What You’ll Learn in This Playlist? ✅ Introduction to Data Warehousing – Concepts, evolution, and real-world applications ✅ Data Warehouse Architecture – OLAP, OLTP, Star & Snowflake Schemas ✅ ETL Process (Extract, Transform, Load) – Data integration and transformation ✅ Data Mining Basics – Techniques, algorithms, and real-life use cases ✅ Classification & Clustering – Decision Trees, K-Means, and Neural Networks ✅ Association Rule Mining – Apriori algorithm and market basket analysis ✅ Big Data & Data Warehousing – Integration with Hadoop & Spark ✅ Data Warehouse Security & Privacy – Access control and compliance ✅ Industry Use Cases – How Amazon, Google, and Netflix use data mining ✅ Career Opportunities in Data Science & Analytics – Jobs, certifications, and future trends Who Is This Playlist For? ✔️ Engineering, BCA, MCA, and IT Students preparing for university exams ✔️ Beginners who want to start a career in Data Science & Analytics ✔️ Job seekers preparing for interviews in Data Engineering, AI, and Machine Learning ✔️ IT Professionals & Developers looking to upskill in Data Warehousing & Mining ✔️ Entrepreneurs & Startups exploring data-driven business strategies 🔥 Why Watch This Playlist? 🔹 40+ well-structured videos covering both academic syllabus & industry trends 🔹 Real-world case studies and hands-on demonstrations 🔹 Beginner-friendly yet industry-level depth 🔹 Covers top interview & certification topics with easy explanations 🔔 Subscribe now & start your journey in Data Warehousing & Mining! 🚀 #DataWarehousing #DataMining #ETL #BigData #DataAnalytics #OLAP #OLTP #StarSchema #SnowflakeSchema #DataScience #MachineLearning #DataEngineering #DataVisualization #Hadoop #Spark #DataSecurity #ArtificialIntelligence #DataDrivenDecisions #PredictiveAnalytics #BusinessIntelligence #DataMiningTechniques #DataWarehouseArchitecture #AprioriAlgorithm #DecisionTree #KMeans #NeuralNetworks #MarketBasketAnalysis #BI #CloudDataWarehouse #FutureOfData #DataAnalyticsCareer

Course Content - 14 modules

Complete Data Warehouse & Data Mining Syllabus for College/University Exams & Interview Preparation

Lecture 1

Complete Data Warehouse & Data Mining Syllabus for College/University Exams & Interview Preparation

7 min 30 sec

Introduction to Data Warehouse with Examples

Lecture 2

Introduction to Data Warehouse with Examples

5 min 42 sec

ETL (Extract, Transform, Load) | Data Aggregation

Lecture 3

ETL (Extract, Transform, Load) | Data Aggregation

7 min 25 sec

Data Extraction | Challenges and Complexity

Lecture 4

Data Extraction | Challenges and Complexity

6 min 38 sec

Star Schema | Schema for Multi Dimensional Data Model | Data Warehouse

Lecture 5

Star Schema | Schema for Multi Dimensional Data Model | Data Warehouse

6 min 11 sec

Snowflake Schema in Data Warehouse | Schema for Multi Dimensional Data Model

Lecture 6

Snowflake Schema in Data Warehouse | Schema for Multi Dimensional Data Model

5 min 58 sec

Introduction to OLTP | Online Transaction Processing

Lecture 7

Introduction to OLTP | Online Transaction Processing

4 min 55 sec

Lec -7: OLAP vs OLTP | Difference between OLAP vs OLTP with Real Life Examples

Lecture 8

Lec -7: OLAP vs OLTP | Difference between OLAP vs OLTP with Real Life Examples

7 min 40 sec

OLAP vs OLTP #shorts #data #ytshorts #education

Lecture 9

OLAP vs OLTP #shorts #data #ytshorts #education

0 min 58 sec

Lec - 8: Normalization in Data Transformation | Min-Max & Z-score Techniques with example

Lecture 10

Lec - 8: Normalization in Data Transformation | Min-Max & Z-score Techniques with example

9 min 8 sec

Introduction to Data Discretization with example

Lecture 11

Introduction to Data Discretization with example

8 min 10 sec

What is Data Preprocessing & Data Cleaning

Lecture 12

What is Data Preprocessing & Data Cleaning

5 min 53 sec

Lec - 10: ETL vs ELT in Data Warehouse 🏭

Lecture 13

Lec - 10: ETL vs ELT in Data Warehouse 🏭

6 min 16 sec

Difference Between Data Warehouse, Data Mart & Data Lake

Lecture 14

Difference Between Data Warehouse, Data Mart & Data Lake

6 min 5 sec