Designing a Data Warehouse
Designing a Data Warehouse, available at $29.99, has an average rating of 3.6, with 19 lectures, based on 5 reviews, and has 1055 subscribers.
You will learn about Setup Microsoft SQL Server Configure database settings for data warehousing Enable SQL Server Agent Logical design of data warehouse Physical design of data warehouse Design Dimension Tables This course is ideal for individuals who are Beginners to data warehouse or Beginner Data Analyst or Beginner Data Scientist It is particularly useful for Beginners to data warehouse or Beginner Data Analyst or Beginner Data Scientist.
Enroll now: Designing a Data Warehouse
Summary
Title: Designing a Data Warehouse
Price: $29.99
Average Rating: 3.6
Number of Lectures: 19
Number of Published Lectures: 19
Number of Curriculum Items: 19
Number of Published Curriculum Objects: 19
Original Price: $39.99
Quality Status: approved
Status: Live
What You Will Learn
- Setup Microsoft SQL Server
- Configure database settings for data warehousing
- Enable SQL Server Agent
- Logical design of data warehouse
- Physical design of data warehouse
- Design Dimension Tables
Who Should Attend
- Beginners to data warehouse
- Beginner Data Analyst
- Beginner Data Scientist
Target Audiences
- Beginners to data warehouse
- Beginner Data Analyst
- Beginner Data Scientist
A data warehouse is a central repository of information that can be analysed to make more informed decisions. Data flows into a data warehouse from transactional systems, relational databases, and other sources, typically on a regular cadence. Business analysts, data engineers, data scientists, and decision makers access the data through business intelligence (BI) tools, SQL clients, and other analytics applications.
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 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.
This course explains the design of dimension tables, physical and logical design of a data warehouse .
Physical design is the creation of the database with SQL statements. During the physical design process, you convert the data gathered during the logical design phase into a description of the physical database structure. Physical design decisions are mainly driven by query performance and database maintenance aspects.
The process of logical design involves arranging data into a series of logical relationships called entities and attributes. An entity represents a chunk of information. In relational databases, an entity often maps to a table. An attribute is a component of an entity that helps define the uniqueness of the entity.
A dimension table is a table in a star schema of a data warehouse. A dimension table stores attributes, or dimensions, that describe the objects in a fact table. In data warehousing, a dimension is a collection of reference information about a measurable event.
Course Curriculum
Chapter 1: Microsoft SQL Server Setup
Lecture 1: Introduction
Lecture 2: What is SQL Server
Lecture 3: SQL Server Editions
Lecture 4: SQL Server Installation Requirements
Lecture 5: Download SQL Server
Lecture 6: Install SQL Server
Lecture 7: Install SSMS
Lecture 8: Connect SSMS to SQL Server
Lecture 9: Install sample data warehouse database
Chapter 2: Data Warehouse Configuration
Lecture 1: What is a data warehouse
Lecture 2: Database vs data warehouse
Lecture 3: Data Warehouse Vs Enterprise Data Warehouse
Lecture 4: Hardware requirements for data warehouse
Lecture 5: Configure database settings for a data warehouse
Lecture 6: FTDW Sizing Tool
Chapter 3: Designing a Data Warehouse
Lecture 1: Logical design of a data warehouse
Lecture 2: Physical design of a data warehouse: Part 1
Lecture 3: Physical design of a data warehouse: Part 2
Lecture 4: Designing Dimension Tables
Instructors
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Bluelime Learning Solutions
Making Learning Simple
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 2 votes
- 5 stars: 1 votes
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