Implementing a Data Warehouse with Microsoft SQL Server

📚 Course Title: Implementing a Data Warehouse with Microsoft SQL Server
🚀 Course Headline: Design and Implement a Data Warehouse
👀 What You'll Learn:

Introduction: This comprehensive course is your guide to mastering the implementation of a data warehouse using Microsoft SQL Server 2014. You'll delve into the world of ETL (Extract, Transform, Load) with SQL Server Integration Services (SSIS), and discover how to validate and cleanse data using SQL Server Data Quality Services (DQS) and SQL Server Master Data Services (MDS). By the end of this course, you'll have a solid understanding of how to create a robust data warehousing solution that will support your organization's data-driven decision-making.

Target Audience: ✅ Who Should Take This Course: This course is crafted for database professionals who are tasked with creating and supporting data warehousing solutions. Your responsibilities may include:

• Implementing a data warehouse
• Developing SSIS packages for data extraction, transformation, and loading (ETL)
• Enforcing data integrity using Master Data Services (MDS)
• Cleansing data using Data Quality Services (DQS)

Prerequisites: To get the most out of this course, you should have:

• Experience with relational databases, including designing a normalized database, creating tables and relationships, and querying with Transact-SQL (T-SQL)
• Some exposure to basic programming constructs like looping and branching
• An understanding of key business priorities such as revenue, profitability, and financial accounting

Course Outline: 🛠️ Hands-On Skills You Will Acquire:

• Deploy and Configure SSIS Packages: Learn the ins and outs of deploying, configuring, and managing SSIS packages effectively.
• Install and Set Up SQL Server 2014: Get step-by-step guidance on downloading and installing SQL Server 2014 and the Adventureworks2014 database.
• Use SSDT and Visual Studio: Understand how to use SQL Server Data Tools (SSDT) and Visual Studio to enhance your development environment.
• Data Warehouse Concepts and Architecture: Explore the fundamental concepts of data warehousing, architecture considerations, and hardware platform selection.
• Implement ETL Solutions: Discover how to create efficient ETL solutions that support incremental data extraction and loading.
• Data Cleansing with DQS: Learn to implement data cleansing using Microsoft Data Quality Services to ensure the highest quality data within your warehouse.
• Enforce Data Integrity with MDS: Implement Master Data Services to maintain a single source of truth for your critical business data.
• Customize SSIS with Scripts and Components: Extend the capabilities of SSIS by adding custom scripts and components tailored to your specific needs.
• Choose Between Star and Snowflake Schemas: Understand the differences between star and snowflake schemas and select the most appropriate design for your data warehouse.
• Explore Source Data: Learn how to effectively explore source data to inform your data warehousing strategy.
• Implement Data Flow: Master the implementation of data flow within your data warehouse, ensuring efficient and effective data movement.
• Debugging SSIS Packages: Acquire debugging techniques for SSIS packages to troubleshoot and resolve issues efficiently.
• Data Extraction and Loading: Extract and load modified data into your data warehouse, maintaining accuracy and completeness.
• Enforce Data Quality: Ensure that the data within your data warehouse meets high standards of quality.
• Consume Data in a Data Warehouse: Learn how to effectively consume and utilize data once it's within your data warehouse.

By completing this course, you'll be equipped with the skills and knowledge necessary to design, implement, and manage a data warehouse using Microsoft SQL Server 2014. You'll join the ranks of professionals who are adept at leveraging data to drive business success. 🌟

Enroll now and embark on your journey to becoming a data warehousing expert with Bluelime Learning Solutions! 💻🚀