Course Information
Course Name: Microsoft 70-463: Implementing a Data Warehouse with SQL Server 2012 Online Course
Total Video Hours: 6 Hrs 55 Min
Total Videos: 69
This course is designed for ETL developers, BI professionals, and data warehouse architects responsible for implementing SQL Server-based data warehouse solutions. The content aligns with Microsoft’s official exam objectives and focuses on practical implementation rather than theoretical concepts alone.
Included in This Course
Instructor-led video lessons aligned with Microsoft 70-463 objectives
Data warehouse design and dimensional modeling instruction
Fact table and columnstore index implementation guidance
Hands-on ETL development using SQL Server Integration Services
Control flow and data flow management techniques
Data profiling, cleansing, and validation using DQS and MDS
SSIS package execution, deployment, and security practices
Troubleshooting, debugging, and performance optimization methods
Course Outline
Lesson 1 – Introduction to Data Warehouses
Lesson 2 – Creating Dimensions and Changing Granularity of Dimensions
Lesson 3 – Creating Fact Tables and Columnstore Indexes
Lesson 4 – Implementing Data Warehouses in SQL Server 2012
Lesson 5 – Working with Integration Services
Lesson 6 – Managing Control Flow
Lesson 7 – Working with Dynamic Variables
Lesson 8 – Implementing Data Flow
Lesson 9 – Managing Data Flow
Lesson 10 – Managing SSIS Package Execution
Lesson 11 – Debugging and Troubleshooting Packages
Lesson 12 – Deploying Packages
Lesson 13 – Securing Packages and Databases
Lesson 14 – Working with MDS and Windows Azure
Microsoft 70-463: Implementing a Data Warehouse with SQL Server 2012
Microsoft 70-463: Implementing a Data Warehouse with SQL Server 2012 Online Course addresses the technical and architectural requirements involved in building enterprise-grade data warehouse solutions. Data warehousing remains a critical component of business intelligence platforms, enabling organizations to consolidate, analyze, and report on large volumes of structured data. SQL Server 2012 provides a mature and feature-rich environment for implementing scalable and secure data warehouse architectures.
Data warehouse implementation requires a strong understanding of data modeling concepts, ETL processes, and performance optimization techniques. This course begins by establishing a foundational understanding of data warehouses, including their purpose, structure, and role within BI solutions. Core concepts such as subject-oriented data, historical storage, and non-volatile design are explained to provide context for downstream implementation tasks.
Dimensional modeling forms the backbone of most data warehouse solutions. The course explains how to create dimensions that support analytical queries and reporting requirements. Dimension granularity is examined in detail, enabling learners to design structures that balance performance, storage efficiency, and analytical flexibility. Proper dimension design ensures that business users can analyze data at the appropriate level of detail.
Fact tables represent measurable business processes and are central to data warehouse performance. The course explains how to design and create fact tables that support aggregation and reporting scenarios. Columnstore indexes are introduced as a key SQL Server 2012 feature for improving query performance in data warehouse environments. The course demonstrates how columnstore indexes optimize large-scale analytical workloads by reducing I/O and improving compression.
Implementing a data warehouse in SQL Server 2012 requires familiarity with supporting components such as SQL Server Integration Services. The course provides an overview of data warehouse components and guides learners through the installation and configuration of SSIS. Integration Services plays a critical role in extracting data from source systems, transforming it to meet business requirements, and loading it into the data warehouse.
SSIS project development is covered in detail, beginning with project creation and package organization. The course explains how to structure SSIS projects for maintainability and scalability. Adding and managing packages within a project allows ETL developers to modularize workflows and support complex data integration scenarios.
Control flow management is essential for orchestrating ETL processes. The course explains how to deploy control flows and execute packages using various control flow tasks. Learners gain insight into sequencing tasks, handling dependencies, and managing execution logic. These skills are critical for building reliable and repeatable ETL workflows.
Dynamic variables enable flexible and reusable SSIS packages. The course demonstrates how to create expressions using variables and how to design package templates. Dynamic configuration allows ETL solutions to adapt to changing environments, data sources, and runtime conditions without manual intervention.
Data flow implementation is a core focus of the course. Learners explore how to add data flow components to SSIS packages and perform transformation tasks such as data conversion, aggregation, and lookup operations. Change data tracking techniques are introduced to support incremental data loading strategies, which improve performance and reduce processing time.
Managing data flow includes advanced techniques such as scripting and data profiling. The course explains how to add script tasks and script components to SSIS packages to extend functionality beyond built-in components. Profiling OLTP data helps identify data quality issues before loading data into the warehouse. Data Quality Services (DQS) is introduced as a tool for cleansing and validating data to ensure accuracy and consistency.
SSIS package execution management is critical for operational stability. The course explains how to execute packages on the server and configure execution strategies that align with business requirements. Scheduling, logging, and monitoring execution ensure that ETL processes run reliably in production environments.
Debugging and troubleshooting are essential skills for ETL developers. The course covers techniques for debugging package execution components and identifying common causes of package failures. Understanding how to isolate and resolve errors reduces downtime and improves overall system reliability.
Deployment strategies are covered to ensure smooth transitions from development to production. The course explains how to deploy SSIS packages and examine MSI packages. Proper deployment practices help maintain version control and reduce configuration errors.
Security is a critical aspect of data warehouse implementation. The course explains how to secure SSIS packages and protect data warehouse databases. Security considerations include access control, credential management, and encryption to protect sensitive business data.
Master Data Services (MDS) and Windows Azure integration are introduced to support advanced data governance and cloud-based scenarios. The course explains how to configure MDS, work with MDS databases, and integrate data warehouse solutions with cloud environments. These capabilities extend the reach of SQL Server 2012 data warehouse solutions beyond on-premises deployments.
Microsoft 70-463 certification targets professionals involved in ETL and data warehouse development. Although the exam retired on January 31, 2021, the skills covered remain relevant for modern BI and data engineering roles. SQL Server data warehousing concepts, ETL design principles, and data quality management continue to be foundational skills in enterprise analytics environments.
This course supports professionals seeking to strengthen their expertise in SQL Server data warehouse implementation. By focusing on practical tasks such as ETL development, data modeling, and performance optimization, learners gain skills applicable to real-world BI projects. The structured lesson sequence ensures that concepts build logically from foundational principles to advanced implementation techniques.
By completing this training, participants gain a solid understanding of how to design, implement, secure, and manage a SQL Server 2012 data warehouse platform. These skills support roles in business intelligence development, data engineering, and enterprise analytics.
FAQs
Who should take the Microsoft 70-463 data warehouse course?
ETL developers, BI professionals, and data warehouse architects benefit most from this course.
Does the course align with the Microsoft 70-463 exam objectives?
All lessons follow the official Microsoft 70-463 syllabus and implementation requirements.
Is hands-on ETL development covered?
SSIS project creation, control flow, and data flow implementation are included.
Are data quality and cleansing techniques addressed?
Data Quality Services and data profiling techniques are covered in detail.
Does the course include security and deployment topics?
SSIS package security, database security, and deployment strategies are included.
Is this course useful even though the exam is retired?
The data warehouse and ETL skills remain relevant for modern BI and analytics roles.
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