Design and Implement a Data Warehouse: | SSIS | SSAS | SSRS

Design and Implement a Data Warehouse: | SSIS | SSAS | SSRS, available at $34.99, has an average rating of 3.5, with 68 lectures, based on 10 reviews, and has 2029 subscribers.

You will learn about 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 Implementing a Data Warehouse Describe the key features of SSIS Implement a data flow by using SSIS Debug SSIS packages Describe the considerations for implement an ETL solution Implement Data Quality Services Implement a Master Data Services model Describe how you can use custom components to extend SSIS Deploy SSIS projects This course is ideal for individuals who are Database Administrators or Database professionals or Business Intelligence Developers It is particularly useful for Database Administrators or Database professionals or Business Intelligence Developers.

Enroll now: Design and Implement a Data Warehouse: | SSIS | SSAS | SSRS

Summary

Title: Design and Implement a Data Warehouse: | SSIS | SSAS | SSRS

Price: $34.99

Average Rating: 3.5

Number of Lectures: 68

Number of Published Lectures: 68

Number of Curriculum Items: 68

Number of Published Curriculum Objects: 68

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

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
Implementing a Data Warehouse
Describe the key features of SSIS
Implement a data flow by using SSIS
Debug SSIS packages
Describe the considerations for implement an ETL solution
Implement Data Quality Services
Implement a Master Data Services model
Describe how you can use custom components to extend SSIS
Deploy SSIS projects

Who Should Attend

Database Administrators
Database professionals
Business Intelligence Developers

Target Audiences

Database Administrators
Database professionals
Business Intelligence Developers

A Data Warehousing (DW) is process for collecting and managing data from varied sources to provide meaningful business insights. A Data warehouse is typically used to connect and analyze business data from heterogeneous sources. The data warehouse is the core of the BI system which is built for data analysis and reporting.

It is a blend of technologies and components which aids the strategic use of data. It is electronic storage of a large amount of information by a business which is designed for query and analysis instead of transaction processing. It is a process of transforming data into information and making it available to users in a timely manner to make a difference.

MicrosoftSQL Server Integration Services (SSIS) is a platform for building high-performance data integration solutions, including extraction, transformation, and load (ETL) packages for data warehousing. SSIS includes graphical tools and wizards for building and debugging packages; tasks for performing workflow functions such as FTP operations, executing SQL statements, and sending e-mail messages; data sources and destinations for extracting and loading data; transformations for cleaning, aggregating, merging, and copying data; a management database, SSISDB, for administering package execution and storage; and application programming interfaces (APIs) for programming the Integration Services object model.

SQL Server Reporting Services (SSRS) is a reporting software that allows you to produce formatted reports with tables in the form of data, graph, images, and charts. These reports are hosted on a server that can be executed any time using parameters defined by the users. It is part of Microsoft SQL Server Services suite.

Analysis Services is an analytical data engine (VertiPaq) used in decision support and business analytics. It provides enterprise-grade semantic data models for business reports and client applications such as Power BI, Excel, Reporting Services reports, and other data visualization tools

Course Curriculum

Chapter 1: Introduction to Data Warehousing

Lecture 1: Overview of Designing and Implementing a Data Warehouse: | SSIS | SSAS | SSRS

Lecture 2: Introduction

Lecture 3: What is a data warehouse

Lecture 4: Database vs Data Warehouse

Lecture 5: Data Warehouse Vs Enterprise Data Warehouse

Lecture 6: Hardware requirements for Data Warehouse

Lecture 7: Please Read

Chapter 2: SQL Server Setup

Lecture 1: What is SQL Server

Lecture 2: SQL Server Versions

Lecture 3: SQL Server Installation Requirements

Lecture 4: SQL Server Download

Lecture 5: SQL Server Installation

Lecture 6: Install SSMS

Lecture 7: Connect SSMS to SQL Server

Lecture 8: Please Read

Lecture 9: Install adventureworksDW Database

Lecture 10: Enabling SQL Server Agent

Lecture 11: Configure Database Settings for Data Warehouse

Chapter 3: Visual Studio Setup

Lecture 1: What is Visual Studio

Lecture 2: Visual studio installation requirements

Lecture 3: Install Visual Studio

Lecture 4: Visual Studio Workloads

Lecture 5: Install SQL Server Data Tools – SSDT

Lecture 6: Install SSDT Designer Templates

Chapter 4: Designing a Data Warehouse

Lecture 1: Logical design for a data warehouse

Lecture 2: Physical Design for a Data Warehouse: Part 1

Lecture 3: Physical Design for a Data Warehouse: Part 2

Lecture 4: Designing dimension tables

Chapter 5: Creating an ETL Solution

Lecture 1: What is ETL

Lecture 2: What is SSIS

Lecture 3: Introduction to ETL with SSIS

Lecture 4: Create a new SSIS project

Lecture 5: Explore Source Data: Part 1

Lecture 6: Explore Source Data: Part 2

Lecture 7: Implementing Control Flow in an SSIS Package: Part 1

Lecture 8: Implementing Control Flow in an SSIS Package: Part 2

Lecture 9: Implementing data Flow in an SSIS Package: Part 1

Lecture 10: Implementing data Flow in an SSIS Package: Part 2

Lecture 11: Debugging and Troubleshooting SSIS Packages: Part 1

Lecture 12: Debugging and Troubleshooting SSIS Packages: Part 2

Lecture 13: Logging SSIS Package events

Lecture 14: Handling errors in an SSIS Package

Chapter 6: Implementing a Data Extraction Solution

Lecture 1: Introduction to Incremental ETL

Lecture 2: Extracting Modified Data: Part 1

Lecture 3: Extracting Modified Data: Part 2

Lecture 4: Extracting Modified Data: Part 3

Lecture 5: Extracting Modified Data: Part 4

Lecture 6: Loading modified data: Part 1

Lecture 7: Loading modified data: Part 2

Lecture 8: Working with changing dimensions

Chapter 7: Deploying and Configuring SSIS

Lecture 1: Integration services catalogs

Lecture 2: Deploying SSIS Solutions

Lecture 3: Executing a package using SQL Server Agent

Lecture 4: Configuring advanced SSIS Settings

Chapter 8: Enforcing Data Quality

Lecture 1: Installing Data Quality Services

Lecture 2: Cleansing Data

Lecture 3: Finding duplicate data: Part 1

Lecture 4: Finding duplicate data: Part 2

Lecture 5: Using Data Quality Services in SSIS Data Flow

Chapter 9: Consuming Data in a Data Warehouse

Lecture 1: Introduction to Business Intelligence

Lecture 2: Please Read

Lecture 3: Creating a new SSRS Project in VS2019

Lecture 4: Using SSRS in Data Warehouse: Part 1

Lecture 5: Using SSRS in Data Warehouse: Part 2

Lecture 6: Please Read

Lecture 7: Create a new SSAS Project in VS2019

Lecture 8: Data Analysis with SSAS: Part 1

Lecture 9: Data Analysis with SSAS: Part 2

Instructors

Bluelime Learning Solutions
Making Learning Simple

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4 stars: 2 votes
5 stars: 3 votes

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