Implementing a Data Warehouse with Microsoft SQL Server
3.9 (186 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,812 students enrolled

Implementing a Data Warehouse with Microsoft SQL Server

Design and implement a data warehouse
3.9 (186 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,812 students enrolled
Last updated 5/2020
English
English [Auto-generated]
Current price: $86.99 Original price: $124.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 7.5 hours on-demand video
  • 1 article
  • 6 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
Training 5 or more people?

Get your team access to 4,000+ top Udemy courses anytime, anywhere.

Try Udemy for Business
What you'll learn
  • Describe how to consume data from the data warehouse.
  • Create ETL Solution
  • Design a data warehouse
  • Troubleshoot and Debug SSIS package
  • Sort out duplicates
  • Extract Data
  • Load Data
  • Deploy SSIS
  • Enforce Data Quality
  • Cleanse data
  • Analysis data
  • Generate reports
Course content
Expand all 70 lectures 07:21:33
+ SQL Server 2019 Setup
12 lectures 01:03:05
What is SQL Server
02:57
SQL Server 2019 Hardware | Software Installation Requirements
04:21
SQL Server Editions
04:45
Download SQL Server 2019 developer edition
04:31
Installing SQL Server Developer Edition 2019
09:43
Installing SQL Server Management Studio
05:48
Connecting to SQL Server
07:46
Installing adventureworks 2016 database
06:28
Installing AdventureworksDW 2016 database
05:49
Testing Adventure Works installation
01:46
Enable SQL Server Agent
02:33
Database settings for data warehouse implementation
06:38
+ Setup for visual studio 2019 | SSIS |SSRS|SSAS
5 lectures 26:09
What is Visual Studio
02:57
Minimum Installation Requirements for visual studio 2019
04:27
Installing Visual Studio
08:15
Installing SQL Server Data Tools (SSDT)
04:09
Installing Designers for SSIS,SSAS,SSRS
06:21
+ Introduction to Data Warehousing
4 lectures 10:42
What is a data warehouse ?
03:06
What is ETL ?
02:27
DW vs EDW
01:54
Databases vs Data Warehouse
03:15
+ Data Warehouse Hardware
2 lectures 14:38
Hardware considerations
10:42
FTDW Sizing Tool
03:56
+ Designing a Data Warehouse
4 lectures 36:05
Logical Design for a data warehouse
04:14
Physical design for a data warehouse part 1
09:55
Physical design for a data warehouse part 2
11:42
Designing Dimension Tables
10:14
+ Big Data Concepts
4 lectures 12:18
What is big Data
02:43
What is High Volume Dta
03:03
What is High Variety Data
03:22
What is High Velocity Data
03:10
+ Creating ETL solution with SSIS
8 lectures 55:11
Creating a new SSIS Project with Visual studio 2019
01:41
Introduction to ETL with SSIS
02:41
Exploring source data - Part 1
08:41
Exploring source data - Part 2
04:36
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 32:31
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 53:37
Introduction to incremental ETL
05:36
Extracting modified data Part 1
04:53
Extracting modified data 2
07:47
Extracting modified data 3
05:28
Extracting modified data 4
07:19
Loading modified data Part 1
07:31
Loading modified data Part 2
07:25
Working with other slowly changing dimensions
07:38
Requirements
  • Experience of working with relational databases
  • Desire to learrn
Description


This course describes how to implement a data warehouse solution.
students will learn how to create a data warehouse with Microsoft SQL Server 2014, implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.

Target Audience:

=>This course is intended for database professionals
 who need to create and support a data warehousing solution. Primary responsibilities include:
••Implementing a data warehouse.
••Developing SSIS packages for data extraction, transformation, and loading.
••Enforcing data integrity by using Master Data Services.
••Cleansing data by using Data Quality Services.


Prerequisites :

Experience of working with relational databases, including:
Designing a normalized database.
Creating tables and relationships.
Querying with Transact-SQL.
Some exposure to basic programming constructs (such as looping and branching).
An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.


Students will learn how to :

••Deploy and Configure SSIS packages.
••Download and installing SQL Server 2014
••Download and attaching Adventureworks2014 database
••Download and installing SSDT
••Download and installing Visual studio
••Describe data warehouse concepts and architecture considerations.
••Select an appropriate hardware platform for a data warehouse.
••Design and implement a data warehouse.
••Implement Data Flow in an SSIS Package.
••Implement Control Flow in an SSIS Package.
••Debug and Troubleshoot SSIS packages.
••Implement an ETL solution that supports incremental data extraction.
••Implement an ETL solution that supports incremental data loading.
••Implement data cleansing by using Microsoft Data Quality Services.
••Implement Master Data Services to enforce data integrity.
••Extend SSIS with custom scripts and components.
••Databases vs. Data warehouses
••Choose between star and snowflake design schemas
••Explore source data
••Implement data flow
••Debug an SSIS package
••Extract and load modified data
••Enforce data quality
••Consume data in a data warehouse


Who this course is for:
  • Database professionals
  • Data Analyst
  • Novice data warehouse administrator