Implementing a SQL Data Warehouse - CLS Learn

Implementing a SQL Data Warehouse

Business intelligence (BI) development is an increasingly important role across organizations of all sizes.

A data warehouse is the central repository of information for data analysis, artificial intelligence, and machine learning.

As companies generate more and more data, BI developers serve the critical function of bridging large volumes of inscrutable raw information with the data analysts, data scientists, product managers, and executives seeking to make sense of that information.

Course Overivew

Business intelligence (BI) development is an increasingly important role across organizations of all sizes.

A data warehouse is the central repository of information for data analysis, artificial intelligence, and machine learning.

As companies generate more and more data, BI developers serve the critical function of bridging large volumes of inscrutable raw information with the data analysts, data scientists, product managers, and executives seeking to make sense of that information.

SQL Server is one of the best choices for a data warehouse in case most of your transactional data sources use relational databases.

This Implementing a SQL Data Warehouse course provides students with the knowledge and skills to extract, transform, and load (ETL) and data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing, in addition to ETL and data warehouse implementation.

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Course Benefits:
  • Module 1: Introduction to Data Warehousing
  • Module 2: Planning Data Warehouse Infrastructure
  • Module 3: Designing and Implementing a Data Warehouse
  • Module 4: Columnstore Indexes
  • Module 5: Implementing an Azure SQL Data Warehouse
  • Module 6: Creating an ETL Solution
  • Module 7: Implementing Control Flow in an SSIS Package
  • Module 8: Debugging and Troubleshooting SSIS Packages
  • Module 10: Enforcing Data Quality
  • Module 11: Using Master Data Services
  • Module 12: Extending SQL Server Integration Services (SSIS)
  • Module 13: Deploying and Configuring SSIS Packages
  • Module 14: Consuming Data in a Data Warehouse

After completing this course, students will be able to:

  • 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
  • Create columnstore indexes
  • Implementing an Azure SQL Data Warehouse
  • Describe the key features of SSIS
  • Implement a data flow by using SSIS
  • Implement control flow by using tasks and precedence constraints
  • Create dynamic packages that include variables and parameters
  • 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
  • Describe BI and common BI scenarios

The primary audience for this course are database professionals who need to fulfil a Business Intelligence Developer role.

They will need to focus on hands-on work creating BI solutions including Data Warehouse implementation, ETL, and data cleansing.

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Prerequisites

This course is available at :

Classroom Training

Cairo
Giza
Onsite

Online Training

Virtual Interactive Instructor LED
Self-Paced Training

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