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What you will learn

  • 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

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Quality Score

Content Quality
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Video Quality
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Qualified Instructor
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Course Pace
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Course Depth & Coverage
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Overall Score : 68 / 100

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Course Description

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 professionalswho 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 2014Download and attaching Adventureworks2014 databaseDownload and installing SSDTDownload and installing Visual studioDescribe 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 warehousesChoose between star and snowflake design schemasExplore source dataImplement data flowDebug an SSIS packageExtract and load modified dataEnforce data qualityConsume data in a data warehouse

Who this course is for:
Database professionalsData AnalystNovice data warehouse administrator

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Instructor Details

Bluelime Learning Solutions

Bluelime is UK based and creates quality easy to understand eLearning solutions .All our courses are 100% video based. We teach hands on- examples that teach real life skills .
Bluelime has engaged in various types of projects for fortune 500 companies and understands what is required to prepare students with the relevant skills they need.

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Reviews

3.4

41 total reviews

5 star 4 star 3 star 2 star 1 star
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By Hussain M Ibrahim on 10/16/2020

it is very informative

By RobertoM on 10/11/2020

In linea con aspettative, esauriente e dettagliato nel navigare le interfacce.

By Konga Suman on 9/6/2020

yeah its helping me to get knowledge on sql server different editions so far

By Alexander Azhogin on 8/8/2020

Good match, relevant course.

By Georgi Marinov on 7/4/2020

My overall feeling after this course is that it was just patched up from a much older one. There were some things that were not actual and others that were not quite well explained.
The idea of a paid course in my opinion is that the student should get relatively actual impression of the matter, relatively easy access to troubleshooting and a meaningful thorough and complete understanding of the overall meaning and function of the different modules and the combination of them. Otherwise he/she could just gather the knowledge from youtube. I lost lots of time searching for solution of issues I faced during some of the modules.
I did not get this experience in a satisfactory way. Despite, I am thankful for the opportunity.
All the best
Georgi

By Titus Warui Njoroge on 6/4/2020

So far so good

By Kim Beck on 4/22/2020

Tries to cover too many topics in too short time. Does not actually teach you to implement a DWH.

By Katie Efird on 3/12/2020

It would be helpful if this tutorial would guide you through dimensional modeling and fact modeling. It only gives an overview of the existing tables in adventure works. I did not really get anything from this course other than learning more about star and snowflake schemas.

By Mark Kateeb on 2/27/2020

The llnks are outdated.

By Christian Schmitz-Moormann on 2/25/2020

High-level introductory coverage of the topics. Some more in-depth info would be helpful.

By Nitesh Keswani on 2/20/2020

No, this course is not a good match. I was looking for practical problems in understanding data warehousing

By Siham Ettijani on 2/20/2020

The course gives a great overview of the steps that are involved in Implementing a Data Warehouse