Mô tả

A data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. Data warehouses are intended to perform queries and analysis and often contain large amounts of historical data. The data within a data warehouse is usually derived from a wide range of sources such as application log files and transaction applications.

A data warehouse centralizes and consolidates large amounts of data from multiple sources. Its analytical capabilities allow organizations to derive valuable business insights from their data to improve decision-making. Over time, it builds a historical record that can be invaluable to data scientists and business analysts. Because of these capabilities, a data warehouse can be considered an organization’s “single source of truth.”

Data warehouses offer the overarching and unique benefit of allowing organizations to analyze large amounts of variant data and extract significant value from it, as well as to keep a historical record.

A typical data warehouse often includes the following elements:

  • A relational database to store and manage data

  • An extraction, loading, and transformation (ELT) solution for preparing the data for analysis

  • Statistical analysis, reporting, and data mining capabilities

  • Client analysis tools for visualizing and presenting data to business users

  • Other, more sophisticated analytical applications that generate actionable information by applying data science and artificial intelligence (AI) algorithms, or graph and spatial features that enable more kinds of analysis of data at scale.


Power BI is a collection of software services, apps, and connectors that work together to turn your unrelated sources of data into coherent, visually immersive, and interactive insights. Your data may be an Excel spreadsheet, or a collection of cloud-based and on-premises hybrid data warehouses. Power BI lets you easily connect to your data sources, visualize and discover what's important, and share that with anyone or everyone you want.

Power BI consists of several elements that all work together, starting with these three basics:

  • A Windows desktop application called Power BI Desktop.

  • An online SaaS (Software as a Service) service called the Power BI service.

  • Power BI mobile apps for Windows, iOS, and Android devices.

Bạn sẽ học được gì

Describe the key elements of a data warehousing solution

Describe the main hardware considerations for building a data warehouse

Implement a logical design for a data warehouse

Implement a physical design for a data warehouse

Create columnstore indexes

Implementing a MS SQL Server Data Warehouse

Describe the key features of SSIS

Implement a data flow by using SSIS

Implement control flow by using tasks and precedence constraints

Create dynamic packages that include variables and parameters

Debug SSIS packages

Describe the considerations for implement an ETL solution

Implement Data Quality Services

Deploy SSIS projects

Implement a Master Data Services model

Describe how you can use custom components to extend SSIS

Describe BI and common BI scenarios

Create a data warehouse with Microsoft SQL Server

Implement ETL with SQL Server Integration Services

validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Yêu cầu

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.
  • Some experience with database design

Nội dung khoá học

16 sections

Microsoft SQL Server Setup

11 lectures
Introduction
00:20
Please Read
00:09
What is SQL Server
02:57
SQL Server Editions
04:45
Hardware | Software Requirements
04:21
SQL Server Download
04:31
SQL Server Installation
09:43
Install SSMS
05:48
SQL Server Configuration Manager
08:10
Connecting SSMS to SQL Server
07:46
Database Concepts
04:31

Installing Sample Databases

6 lectures
Installing Adventureworks 2014
04:15
Installing Adventureworks 2016
06:28
Installing AdventureworksDW 2016
05:49
Installing World Wide Importers
05:57
Installing World Wide ImportersDW
05:15
SQL Server Data Files
03:43

Microsoft Visual Studio Setup

6 lectures
What is Visual Studio
04:32
Minimum Installation Requirements
04:27
Installing Visual Studio
06:46
visual Studio workloads
03:59
Install SQL Server Data Tools
04:09
Installing SSDT Templates
06:21

Introduction to Data Warehousing

3 lectures
What is Data Warehouse
03:06
Data Warehouse vs Enterprise Data Warehouse
01:54
Data Warehouse Vs Database
03:15

Data Warehouse Requirements

5 lectures
Hardware Requirements
10:42
Enabling SQL Server Agent
02:33
Database Configurations
06:38
FTDW Sizing Tool ( Already Downloaded)
00:10
FTDW Sizing Tool
03:56

Designing a Data Warehouse

4 lectures
Logical Design of Data Warehouse
04:14
Physical Design of Data Warehouse - Part 1
09:55
Physical Design of Data Warehouse -Part 2
11:42
Designing Dimension Tables
10:14

Creating an ETL Solution

6 lectures
What is ETL
05:41
What is SSIS
03:25
Introduction to ETL with SSIS
02:41
Creating a new SSIS Project
02:16
Exploring Source Data : Part 1
07:47
Exploring Source Data : Part 2
04:36

Implementing Control Flow & Data flow in an SSIS Package

4 lectures
Introduction to control flow: Part 1
09:55
Introduction to control flow: Part 2
08:21
Implementing data flow - Part 1
09:44
Implementing data flow - Part 2
09:32

Debugging and Troubleshooting SSIS Packages

4 lectures
Debugging SSIS Package : Part 1
07:20
Debugging SSIS Package : Part 2
06:53
Logging SSIS Package Events
10:18
Handling errors in an SSIS Package
08:00

Implementing an Incremental ETL Process

8 lectures
Introduction to incremental ETL Process
05:36
Extracting modified data: Part 1
04:53
Extracting modified data: Part 2
07:47
Extracting modified data: Part 3
05:28
Extracting modified data: Part 4
07:19
Loading modified data: Part 1
07:31
Loading modified data: Part 2
07:25
Working with changing dimensions
07:38

Deploying and Configuring SSIS Packages

4 lectures
Integration services catalogs
08:19
Deploying SSIS Solutions
11:52
Execute a package with SQL Server Agent
10:58
Configuring advanced SSIS Settings
05:19

Enforcing Data Quality in Data Warehouse

5 lectures
Installing Data Quality Services
12:05
Cleansing data with data quality services
11:27
Find duplicate data : Part 1
11:11
Find duplicate data : Part 2
09:07
Using data quality services in SSIS data flow
09:34

Consuming Data in a Data Warehouse

7 lectures
Introduction to Business Intelligence
04:15
Creating a new SSRS Project in VS 2019
01:56
Using SSRS in Data Warehouse: Part 1
08:12
Using SSRS in Data Warehouse: Part 2
07:00
Creating a new SSAS Project
01:36
Data Analysis with SSAS : Part 1
09:27
Data Analysis with SSAS : Part 2
05:13

Microsoft Power BI Setup

5 lectures
Office 365 Setup
07:18
What is Power BI
05:47
What is Power BI Desktop
03:40
Installing Power BI Desktop
07:39
Power BI Desktop Tour
06:07

Power BI Overview

8 lectures
Power BI Overview : Part 1
04:24
Power BI Overview : Part 2
04:05
Power BI Overview : Part 3
04:49
Components of Power BI
02:57
Building blocks of Power BI
09:31
Exploring Power BI Desktop Interface
06:06
Exploring Power BI Service
04:28
Power BI Apps
03:56

Data Analysis & Visualisation with Power BI

7 lectures
Connecting to web based Data
05:07
Cleaning & transforming data - Part 1
07:12
Cleaning & transforming data - Part 2
09:45
Combining Data Sources
07:59
Creating visuals in Power BI - Part 1
06:09
Creating visuals in Power BI - Part 2
05:23
Publishing Report To Power BI Service
04:47

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