Implementing a Data Warehouse using Microsoft SQL Server Training in Switzerland

  • Learn via: Classroom
  • Duration: 3 Days
  • Price: From €2,567+VAT
We can host this training at your preferred location. Contact us!

This three-day instructor-led course provides students who wish to administer and maintain a SQL Server data warehouse and ETL infrastructure using SQL Server Integration Services (SSIS).

Target Audience

The primary audience for this course is individuals who will administer and maintain a SQL Server data warehouse and create and maintain SSIS packages.

In addition to their professional experience, students who attend this training should already have the following technical knowledge:
Essential:
  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of Transact-SQL. (equivalent knowledge to QATSQL and QATSQLPLUS)
Nice to have:
  • Working knowledge of relational databases.
  • Some experience with database design.

After completing this course, students will be able to:
  • Design a data warehouse
  • Build a data warehouse
  • Implement ETL control and data tasks
  • Control transactions and maintain consistency
  • Implement incremental updates
  • Manage and run packages
  • Debug packages

Module 1 : Data warehouse Overview
This module introduces the main terms used within data warehousing.
Lessons:
  • What is a data warehouse?
  • Components of a data warehouse
  • Data warehouse project roles
  • Using SQL Server as a data warehousing solution
  • Lab diagram
Module 2: Designing and implementing a data warehouse
This module is aimed at designing and implementing the data warehouse. The first few lessons cover the design including fact tables and different variations of dimension table.
Lessons:
  • Dimensional Model
  • Dimensions and fact tables
  • Star and snowflake schemas
  • Slowly changing dimensions
  • Partitioned tables
  • Measures
  • Time and junk dimensions
  • Indexes and compression
  • LAB A: Designing a data warehouse
  • LAB B: Creating the data warehouse
  • LAB C: Create a fact table
  • LAB D: Create dimension tables
Module 3: Implementing a control flow in an SSIS package
This module looks at the tasks within the control flow of the SSIS package. The lessons will cover the tasks primarily aimed at the data warehouse.
Lessons:
  • Introduction to SSIS
  • Control flow
  • Advanced control flow
  • Containers
  • Precedence
  • Consistency
  • LAB A: Create a basic control flow task
  • LAB B: Using variable and parameters
  • LAB C: Using a for each loop
  • LAB D: Using transactions and checkpoints
Module 4: Implementing extract, transform and load with SSIS
This module covers the aspects of the SSIS package working with the data flow.
Lessons:
  • Introduction to extract, transform and load (ETL)
  • Data sources
  • Destinations and transformations
  • LAB A: Using the SQL Server import and export wizard
  • LAB B: Profiling a source
  • LAB C: Implement a data flow with transformations
Module 5: Debugging and troubleshooting SSIS packages.
This module covers the tools available to record events and handle errors.
Lessons:
  • SSIS debugging
  • SSIS event logging
  • Error handling
  • LAB A: Debugging an SSIS package
  • LAB B: Configuring event logging
  • LAB C: Implement error handling
Module 6: Implementing an incremental ETL process
This module covers the creation and running of a SSIS package for implementing the change data capture (CDC) tool.
Lessons:
  • Introduction to incremental extract, transform and load
  • Configuring incremental ETL
  • Keeping historical data
  • LAB A: Using CDC
  • LAB B: Implementing slowly changing dimensions
Module 7: Deploying and configuring SSIS packages
This module covers the deployment and scheduling of SSIS packages. The packages can use environment variables.
Lessons:
  • Package deployment options
  • Running SSIS packages
  • Validation and logging
  • LAB A: Creating an SSIS catalog, environments and deploying a project
  • LAB B: Running an SSIS package


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Switzerland facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
12 August 2024
Bern, Zürih, Cenevre
3 Days
Classroom / Virtual Classroom
28 August 2024
Bern, Zürih, Cenevre
€2,567 +VAT Book Now
Classroom / Virtual Classroom
11 September 2024
Bern, Zürih, Cenevre
3 Days
Classroom / Virtual Classroom
19 September 2024
Bern, Zürih, Cenevre
3 Days
Classroom / Virtual Classroom
20 September 2024
Bern, Zürih, Cenevre
3 Days
Classroom / Virtual Classroom
23 September 2024
Bern, Zürih, Cenevre
3 Days
Classroom / Virtual Classroom
27 September 2024
Bern, Zürih, Cenevre
3 Days
Classroom / Virtual Classroom
01 October 2024
Bern, Zürih, Cenevre
3 Days
Implementing a Data Warehouse using Microsoft SQL Server Training Course in Switzerland

Switzerland, or officially known as the Swiss Confederation, is a federated country of central Europe. Because of its linguistic diversity, Switzerland is known by a variety of native names, such as Schweiz, Suisse, Svizzera and Svizra. While Bern is the administrative capital, Lausanne is the judicial centre of Switzerland. Zurich, Geneva and Basel are bases of some important international organisations such as the WTO, the WHO and FIFA. The country is well-known for its high welfare; Switzerland has the highest nominal wealth per adult.

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