Implementing a Data Warehouse using Microsoft SQL Server Training in Sweden

  • 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 Sweden facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
12 borgemánnu 2024
Stockholm, Malmö, Göteborg
3 Days
Classroom / Virtual Classroom
28 borgemánnu 2024
Stockholm, Malmö, Göteborg
€2,567 +VAT Book Now
Classroom / Virtual Classroom
11 čakčamánnu 2024
Stockholm, Malmö, Göteborg
3 Days
Classroom / Virtual Classroom
19 čakčamánnu 2024
Stockholm, Malmö, Göteborg
3 Days
Classroom / Virtual Classroom
20 čakčamánnu 2024
Stockholm, Malmö, Göteborg
3 Days
Classroom / Virtual Classroom
23 čakčamánnu 2024
Stockholm, Malmö, Göteborg
3 Days
Classroom / Virtual Classroom
27 čakčamánnu 2024
Stockholm, Malmö, Göteborg
3 Days
Classroom / Virtual Classroom
01 golggotmánnu 2024
Stockholm, Malmö, Göteborg
3 Days
Implementing a Data Warehouse using Microsoft SQL Server Training Course in Sweden

Sweden is a Nordic country that borders Norway, Finland and Denmark. The name "Sweden" originated from the "Svear", a people mentioned by the Roman author Tacitus. While being the largest Nordic country, Sweden is the fifth-largest country in Europe. Sweden has a total population of 10.4 million. The capital and largest city is Stockholm. About 15 percent of the country lies within the Arctic Circle, so that's why from May until mid-July, sunlight lasts all day in the north of the Arctic Circle. On the other hand, during December, the capital citt experiences only about 5.5 hours of daylight.

When in Sweden, visiting Stockholm's Old Town Gamla Stan, Sweden's most popular museum Vasa Museum and a UNESCO World Heritage Site; Drottningholm Palace is highly recommended.

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