Introduction to Data Warehouse
Introduction to Data Warehouse, available at $19.99, has an average rating of 3.83, with 30 lectures, based on 3 reviews, and has 11 subscribers.
You will learn about You will learn the modern architecture of a Data Warehouse You will learn the principles of Data Warehouse Design Foundational data warehousing concepts and fundamentals Data Warehouse Architecture, Data Mart, Data Warehouse Schema and SCDs Learning all the concepts and terminologies related to the Datawarehouse , such as the OLTP, OLAP, Dimensions, Facts, Start Schema, Snow flake Schema etc Learn the basics of Data Modelling and how to start with it logically and physically. This course is ideal for individuals who are This course is for Students, Professionals or Anyone who needs upgrade their knowledge in Data Warehouse It is particularly useful for This course is for Students, Professionals or Anyone who needs upgrade their knowledge in Data Warehouse.
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Summary
Title: Introduction to Data Warehouse
Price: $19.99
Average Rating: 3.83
Number of Lectures: 30
Number of Published Lectures: 30
Number of Curriculum Items: 30
Number of Published Curriculum Objects: 30
Original Price: ₹799
Quality Status: approved
Status: Live
What You Will Learn
- You will learn the modern architecture of a Data Warehouse
- You will learn the principles of Data Warehouse Design
- Foundational data warehousing concepts and fundamentals
- Data Warehouse Architecture, Data Mart, Data Warehouse Schema and SCDs
- Learning all the concepts and terminologies related to the Datawarehouse , such as the OLTP, OLAP, Dimensions, Facts, Start Schema, Snow flake Schema etc
- Learn the basics of Data Modelling and how to start with it logically and physically.
Who Should Attend
- This course is for Students, Professionals or Anyone who needs upgrade their knowledge in Data Warehouse
Target Audiences
- This course is for Students, Professionals or Anyone who needs upgrade their knowledge in Data Warehouse
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.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 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 determine 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.
The course is a right blend of concepts with right examples for making the topics easier which includes
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2+ hours of on demand videos
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Clarifications through community
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Understand everything step by step from the absolute basics to the advanced topics
Here is what you’ll learn:
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What is a Data Warehouse?
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What is the need for Data Warehouse?
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History of Data Warehouse
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OLTP & OLAP
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Introduction to ETL
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Extraction, Transformation and Load data in ETL
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Types of Transformation
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Data Warehouse Architecture
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Data Warehouse Architectures based on layers and Tires
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Data Mart
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Storing Data in Data Warehouse
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Dimension Tables and Fact Tables
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Dimension and Fact table with Example
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Data Warehouse Schema and Types
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Slowly Changing Dimensions Introduction and Types
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ETL Tools
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Scheduling the Tools
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Reporting Tools
Course Curriculum
Lecture 1: Introduction to ETL
Chapter 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: Extraction in ETL
Lecture 7: Transformation Introduction
Lecture 8: Types of Transformation
Lecture 9: Load Data
Lecture 10: Data Warehouse Architecture Introduction
Lecture 11: Data Warehouse Architectures based on layers
Lecture 12: Data Warehouse Architecture based on Tiers
Lecture 13: What is Data Mart?
Lecture 14: Storing Data in Data Warehouse
Lecture 15: Dimension Tables and Fact Tables
Lecture 16: Dimension and Fact table with Example
Lecture 17: Introduction To Data Warehouse Schema
Lecture 18: Star Schema
Lecture 19: Snowflake Schema
Lecture 20: Fact Constellation Schema
Lecture 21: SCD Introduction
Lecture 22: SCD type 0 and 1
Lecture 23: SCD type 2
Lecture 24: SCD Type 3
Lecture 25: SCD type 4
Lecture 26: SCD Type6
Lecture 27: ETL tools
Lecture 28: Scheduling the Tools
Lecture 29: Reporting Tools
Instructors
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Blismos Academy
Practitioners of Big Data Engineering
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 0 votes
- 4 stars: 1 votes
- 5 stars: 1 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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