Implementing a Data Warehouse with Microsoft SQL Server 2012 Course Overview

To ensure that you can successfully undertake the Implementing a Data Warehouse with Microsoft SQL Server 2012 course, it is important that you meet the following minimum prerequisites:

• Basic understanding of relational databases.
• Experience with database design, including normalization.
• Familiarity with Microsoft Windows operating system and its core functionality.
• Working knowledge of Transact-SQL, such as that acquired by attending the "Querying Microsoft SQL Server" course.
• Some experience with database design.
• Basic knowledge of data warehouse schema topology (including star and snowflake schemas).
• 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.

Please note that these prerequisites are intended to provide you with the foundational knowledge required to maximize your learning experience throughout the course. If you feel unsure about meeting these requirements, additional resources and preparatory courses are available to help you get up to speed before tackling the main course content.

Target Audience for Implementing a Data Warehouse with Microsoft SQL Server 2012

This course provides comprehensive training on implementing a data warehouse using Microsoft SQL Server 2012, ideal for IT professionals in data-centric roles.

• Database Administrators
• Business Intelligence Professionals
• Data Analysts
• Data Architects
• Data Engineers
• ETL Developers
• IT Professionals looking to specialize in data warehousing
• SQL Server Developers
• System Engineers with a focus on data solutions
• Technical Consultants involved in data warehousing projects
• Data Scientists needing to understand warehousing and ETL processes

Learning Objectives - What you will Learn in this Implementing a Data Warehouse with Microsoft SQL Server 2012?

Introduction to the Course's Learning Outcomes

Gain a comprehensive understanding of the architecture, design, and implementation of a data warehouse using Microsoft SQL Server 2012. Master ETL processes, data quality, and BI tools.

Learning Objectives and Outcomes

• Understand the key components and considerations of data warehousing and how to apply them in creating a data warehouse solution.
• Learn how to select appropriate hardware for a data warehouse by evaluating reference architectures and appliances.
• Design and implement a data warehouse schema focusing on logical and physical design principles.
• Acquire skills in ETL (Extract, Transform, Load) with SSIS (SQL Server Integration Services), including data flow implementation and source data exploration.
• Implement control flow in an SSIS package, manage dynamic packages, and ensure data consistency using transactions and checkpoints.
• Debug and troubleshoot SSIS packages effectively while handling errors and implementing logging strategies.
• Develop an incremental ETL process, learning techniques for extracting and loading modified data efficiently.
• Integrate cloud data sources into a data warehouse, with an emphasis on SQL Azure and other cloud-based data platforms.
• Enforce data quality using Data Quality Services (DQS) for cleansing and matching data, and manage master data using Master Data Services (MDS).
• Extend SQL Server Integration Services with custom components and scripts, deploy SSIS projects, and plan package execution for real-world scenarios.
• Utilize business intelligence tools, reporting, and data analysis techniques to consume and interpret data within a data warehouse environment.