03:12

What is Kubernetes ?

02:47

Docker Swarm Intro

06:07

Setting Up Network Policies to Control Traffic Between Containers Hands-On

07:54

Scanning Vulnerability of Docker Images

06:45

Debugging Containers in Docker

03:01

Docker File - Practice set

14:36

Docker for Devlopers & setup environment

06:35

Scalability & Load balancing in Docker

07:52

Multi container Applications in Docker

05:39

Docker Compose & Services Practical

07:17

Persistence Storage & volumes in Docker

05:44

Networking in Docker

08:08

Managing containers in Docker

16:31

Docker Images

05:51

Basics of Docker

03:49

Docker - Understanding Terminology & Architecture

03:32

Ubuntu Installation of Docker

03:11

Installation of Docker (windows)

04:38

Docker Vs virtual machines

04:20

Mastering Docker: Revolutionize Your Development and Deployment Workflow

07:52

Understanding Process States in Operating Systems with Real-Life Examples

08:01

Operating Systems: Understanding the Core Functions and Steps

18:30

Cloud vs On-Premises, Massive Parallel Processing(MPP) ,Columnar Database #datawarehouse

14:27

Unlocking Strategic Insights: The Power and Promise of Data Warehousing #usecases #datawarehouse

11:37

Mastering Index Guidelines for Fact & Dimension Tables | Practical Demo #datawarehouse #indexing

11:14

Indexing Techniques in Data Warehousing: B-Tree, Bitmap

10:09

ETL vs ELT: Unraveling the Data Integration Debate

24:27

Mastering ETL : Transforming Payments, Sales, and Jobs in Your Data Warehouse

28:38

Mastering Data Warehouse: Strategic Planning, Table Design, and Staging Success

10:45

ETL Tools

27:54

ETL process : Setup, Staging, Transformation, Loading, Validation, and Job Scheduling Demos

23:24

ETL - Mastering Data Transformation: Basic to Advanced Techniques Explained

28:41

ETL process : Setting Up Tables, Initial Data, and Delta Loads with Live Examples!

20:46

ETL Processes: Delta Load, Load Strategies, and Pentaho Data Integration

12:55

ETL Process: Streamlining Data Warehouse Operations

14:26

Administering Mixed Type 1 and Type 2 Dimensions: Navigating Type 2 Dimensions with Added Attributes

28:15

Demystifying Dimension Types: Hierarchical, Conformed, Role-Play, Degenerate, and Junk Dimensions

11:08

Understanding Dimensional Changes: Exploring Type 0, Type 1, and Type 2 Slowly Changing Dimensions"

05:38

Dimensional Modeling Case Study: Unraveling Effective Data Organization and Analysis

03:15

Slowly Changing Dimensions: Preserving Data History in Data Warehousing

18:30

Dimensions in Data Warehousing:Tables, Date Null & Dimensions

18:35

Case study project of Fact in data warehouse

08:00

Dimensional Modeling Explained: Unraveling the Power of Simplified Data Analysis

06:03

Natural vs. Surrogate Keys: Making Informed Choices for Database Design

04:40

Step-by-Step Guide: Creating a Fact Table for Data Warehousing

19:09

Fact Types: Transactional, Periodic, Accumulate Snapshot, and Factless - A Comprehensive Comparison"

15:48

Additivity, Nulls, and Year-to-Date: Exploring Key Concepts in Fact

23:08

Star Schema vs. Snowflake Schema: Unraveling the Best Data Modeling Practices

04:26

Dimensions in Data Warehousing: Navigating the Pathways of Data Understanding

05:04

Facts in Data Warehousing: The Backbone of Actionable Insights

07:29

Operational Data Storage: Managing Real-Time Data for Seamless Operations

07:48

OLAP Cubes: Unleashing Multi-Dimensional Data Insights

06:24

Database Relations in Data Warehouses

06:27

Data MARTS: Unlocking Insights for Better Decision-Making

17:26

Unraveling the Layers of Data Warehouse: A Staging Layer Demonstration

10:31

SetUp Pentaho ETL Tool & PostgreSQL Database

06:24

Data Warehouse vs Data Lake

02:47

Power of Business Intelligence in Data Warehouses

04:20

What Is Data Warehouse?

04:42

Why Data Warehouse Need?