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Implementing a Data Warehouse with Microsoft SQL Server

Design and implement a data warehouse
Instructor:
Bluelime Learning Solutions
1,350 students enrolled
English [Auto-generated]
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

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

Setting up Your Test Environment

1
Introduction
2
Install SQL Server Enterprise - Evaluation
3
Download and install AdventureworksDW2014
4
Enable SQL Server Agent
5
Download Microsoft SQL Server 2014
6
Installing Microsoft SQL Server 2014
7
Download and install AdventureworksDW2014
8
Download and Install SQL Server Data Tools -SSDT
9
Testing Adventure Works installation
10
Database settings for data warehouse implementation
11
Hardware and Software Requirements for visual studio
12
Download and install Visual Studio
13
Completing Visual Studio Installation

Introduction to Data Warehousing

1
What is a data warehouse ?
2
What is ETL ?
3
DW vs EDW
4
Databases vs Data Warehouse

Data Warehouse Hardware

1
Hardware considerations
2
FTDW Sizing Tool

Designing a Data Warehouse

1
Logical Design for a data warehouse
2
Physical design for a data warehouse part 1
3
Physical design for a data warehouse part 2
4
Designing Dimension Tables

Big Data Concepts

1
What is big Data
2
What is High Volume Dta
3
What is High Variety Data
4
What is High Velocity Data

Creating ETL solution with SSIS

1
Introduction to ETL with SSIS
2
Exploring source data - Part 1
3
Exploring source data - Part 2
4
Introduction to Control Flow - Part 1
5
Introduction to Control Flow - Part 2
6
Implementing data flow - part 1
7
Implementing data flow - part 2

Debugging and Troubleshooting SSIS Packages

1
Debugging SSIS package Part 1
2
Debugging SSIS package Part 2
3
Logging SSIS package events
4
Handling errors in an SSIS Package

Implementing an Incremental ETL Process

1
Introduction to incremental ETL
2
Extracting modified data Part 1
3
Extracting modified data 2
4
Extracting modified data 3
5
Extracting modified data 4
6
Loading modified data Part 1
7
Loading modified data Part 2
8
Working with other slowly changing dimensions

Deploying and Configuring SSIS

1
Integration Services Catalogs
2
Deploying SSIS Solutions
3
Executing a package with SQL Server agent
4
Configuring advanced SSIS settings

Enforcing Data Quality

1
Installing Data Quality Services
2
Cleansing Data with Data Quality Services
3
Using Data Quality Services to find duplicate data -Part 1
4
Using Data Quality Services to find duplicate data -Part 2
5
Using Data Quality Services in an SSIS Data flow

Consuming Data in a Data Warehouse

1
Introduction to Business Intelligence
2
Using Reporting Services with Data Warehouse - Part 1
3
Using Reporting Services with Data Warehouse - Part 2
4
Introduction to data analysis with SSAS - Part 1
5
Introduction to data analysis with SSAS - Part 2
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Includes

7 hours on-demand video
Full lifetime access
Access on mobile and TV
Certificate of Completion