Introduction To Data Warehouse

[LeeAndro]

Published 12/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 888.63 MB | Duration: 2h 13m

Data Warehouse

What you'll learn
We really hope this course will help you with your career immensely and take you to the next level
Assessment questionnaires are included at appropriate points to test your knowledge
Important sessions of this course are Transactional vs Analytical Processing, ETL
Data Warehouse Architecture, Data Mart, Data Warehouse Schema and SCDs

Requirements
You need to have Basic knowledge on RDBMS Concepts and SQL

Description
A Data warehouse is a database that is used for data analysis and reporting.​

It is a central repository for all the data that is needed for reporting and analysis. In this course you will learn everything about the Data warehouse. Data and analytics have become indispensable to businesses to stay competitive. Business users rely on reports, dashboards, and analytics tools to extract insights from their data, monitor business performance, and support decision making. Data warehouses power these reports, dashboards, and analytics tools by storing data efficiently to minimize the input and output (I/O) of data and deliver query results quickly to hundreds and thousands of users concurrently. A data warehouse architecture is made up of tiers. The top tier is the front-end client that presents results through reporting, analysis, and data mining tools. The middle tier consists of the analytics ee that is used to access and analyze the data. The bottom tier of the architecture is the database server, where data is loaded and stored. Data is stored in two different types of ways: 1) data that is accessed frequently is stored in very fast storage (like SSD drives) and 2) data that is infrequently accessed is stored in a cheap object store, like S3. The data warehouse will automatically make sure that frequently accessed data is moved into the "fast" storage so query speed is optimized.A data warehouse may contain multiple databases. Within each database, data is organized into tables and columns. Within each column, you can define a description of the data, such as integer, data field, or string. Tables can be organized inside of schemas, which you can think of as folders. When data is ingested, it is stored in various tables described by the schema. Query tools use the schema to detee which data tables to access and analyze.A data warehouse is specially designed for data analytics, which involves reading large amounts of data to understand relationships and trends across the data. A database is used to capture and store data, such as recording details of a transaction.Here is what you'll learnata Warehouse BasicsHistory of Data WarehouseOLTP & OLAPIntroduction to ETLExtraction, Transformation and Load data in ETLTypes of TransformationData Warehouse ArchitectureData Warehouse Architectures based on layers and TiresData MartStoring Data in Data WarehouseDimension Tables and Fact TablesDimension and Fact table with ExampleDWH SchemaStar SchemaSnowflake SchemaFact Constellation SchemaSCD IntroductionSCD Type 0 and 1SCD Type 2SCD Type 3SCD type 4SCD Type6ETL ToolsScheduling the ToolsReporting Tools

Overview
Section 1: Introduction

Lecture 1 Introduction to Data Warehouse

Lecture 2 Transactional vs Analytical Processing

Lecture 3 What is Data warehouse

Lecture 4 History of Data Warehouse

Lecture 5 OLTP & OLAP

Lecture 6 Introduction to ETL

Lecture 7 Extraction in ETL

Lecture 8 Transformation Introduction

Lecture 9 Types of Transformation

Lecture 10 Load Data

Lecture 11 Data Warehouse Architecture Introduction

Lecture 12 Data Warehouse Architectures based on layers

Lecture 13 Data Warehouse Architecture based on Tiers

Lecture 14 What is Data Mart

Lecture 15 Storing Data in Data Warehouse

Lecture 16 Dimension Tables and Fact Tables

Lecture 17 Dimension and Fact table with Example

Lecture 18 Introduction To Data Warehouse Schema

Lecture 19 Star Schema

Lecture 20 Snowflake Schema

Lecture 21 Fact Constellation Schema

Lecture 22 SCD Introduction

Lecture 23 SCD type 0 and 1

Lecture 24 SCD type 2

Lecture 25 SCD Type 3

Lecture 26 SCD type 4

Lecture 27 SCD Type6

Lecture 28 ETL tools

Lecture 29 Scheduling the Tools

Lecture 30 Reporting Tools

This course is for Students, Professionals or Anyone who needs upgrade their knowledge in Data Warehouse

HomePage:

https://www.udemy.com/course/introduction-to-data-warehouse-h/

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https://1dl.net/o8uep6sacw24/PbXbDDMA__Introducti.rar.html