Course: Microsoft SQL Server 2014: Implementing a Data Warehouse training

$603.79 incl. vat


duration: 32 hours |

Language: English (US) |

access duration: 180 days |


In this online SQL Server 2014 training course you will learn to implement business intelligence solutions. You can think of the implementation of data warehouse databases, the extraction and transformation of data as part of an ETL solution and cleaning data.
Subjects that are discussed extensively are the design and implementation of Dimensions and a Fact Table. Data Sources, Data Flow, SSIS (very extensive), Security and Data Quality Services are also discussed extensively.


After successful completion of this course you can implement business intelligence solutions based on Microsoft SQL Server 2014.


You have a good basic understanding of databases.

Target audience

Database Administrators


Microsoft SQL Server 2014: Implementing a Data Warehouse

32 hours

Designing and Implementing Dimensions

A data warehouse combines data from multiple sources that can be used to create analytical reports. This course covers schemas and tables that are created within it and how to create dimension and fact tables.

Designing a Fact Table

Each data warehouse consists of at least one fact table, which contains fundamental measurements of the business. This course covers the implementation of fact tables using partitions, data compression, and columnstore indexes.

Connection Managers and Data Sources

Connection managers in a data warehouse are used to define the data source connections. This course covers how to use connection managers to specify source and destinations, as well as how to create custom data sources.

Designing Data Flow

When working with data in a data warehouse, some level of transformation is usually required between the source and destination. In this course, you will learn about transformation and designing data flow.

Data Flow Implementation

ETL, extract, transform, and load, is the main process in data warehousing solutions. It facilitates the transfer of the data from a source to a destination. This course discusses the ETL process and how it can be implemented.

SSIS Package Execution and Script Tasks

Microsoft SQL Server Integration Services (SSIS) is a platform that can be used to build packages for data warehousing. This course will demonstrate how to create simple SSIS packages and also explain script tasks.

Designing Control Flow

Control flow consists of three elements: containers, tasks, and precedence constraints, which can be used to provide structure, functionality, and order of operations. This course shows how to design control flow elements.

Implementing Control Flow

By using the control flow data flow task, data flow can be implemented into the SSIS package specifying the data source, data transformation, and data destination. This course shows how to implement control flow elements.

SSIS Variables

SQL Server 2014 allows for the use of parameters, variables, and expressions to create dynamic packages. This course covers SSIS variable concepts, such as system variables, scope, parameterization of properties, and data types.

SSIS Packages

SSIS in SQL Server 2014 allows for dynamic

Data Load Options

SSIS is an extensible platform for creating data integration and workflow solutions. In this course, you will explore various options to load data.

Script Components

Script Components

SSIS Components

SSIS can be installed during the SQL Server installation or as a separate component. Before installation, there are a number of factors needing consideration, such as upgrade options and architecture. This course will cover SSIS components.

Auditing, Logging, and Event Handling

Auditing, Logging, and Event Handling

Troubleshooting Data Integration

Troubleshooting Data Integration

SSIS Solutions

SSIS consists of several layers, including package properties and centralized management, to provide a rich and flexible environment. This course covers SSIS catalog creation and package deployment.

SSIS Security

SSIS consists of several layers, including

Data Quality Services (DQS) and Master Data Services (MDS)

Data Quality Services (DQS) and Master Data Services (MDS)

Data Quality Projects

For anyone who is creating a data warehouse, data quality should be one of the top priorities. In order to trust the results of data analysis, high-quality data is essential. This course discusses strategies for data quality projects.

Course options

We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.

Optional practice exam (trial exam)

To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam. 

Optional practice lab

To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediatelyThe lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience. 


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