Implementing a Data Warehouse with Microsoft SQL Server 2014 Course Overview

Implementing a Data Warehouse with Microsoft SQL Server 2014 Course Overview

The "Implementing a Data Warehouse with Microsoft SQL Server 2014" course is designed to provide learners with comprehensive knowledge and practical skills for creating a data warehouse using SQL Server. The course covers key aspects of data warehousing such as designing, implementing, and maintaining a warehouse, creating an ETL solution with SQL Server Integration Services (SSIS), and ensuring data quality. Through a series of lessons and labs, participants will gain insights into infrastructure planning, warehouse design, ETL processes, and business intelligence solutions. By learning how to deploy and configure SSIS packages, manage master data services, and consume data effectively, learners will be well-equipped to enhance their organization's data management capabilities. This course is ideal for database professionals looking to acquire in-depth knowledge of data warehouse implementation, enabling them to deliver data solutions that support business decision-making processes.

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Course Prerequisites

To ensure you gain the maximum benefit from the Implementing a Data Warehouse with Microsoft SQL Server 2014 course, it is recommended that you have the following prerequisites:

  • Basic Understanding of Database Concepts: Familiarity with the fundamental concepts of relational databases, including tables, queries, and basic SQL.

  • Experience with Microsoft SQL Server: Hands-on experience with SQL Server or any other relational database system.

  • Knowledge of Basic SQL Syntax: Ability to write simple SQL statements, such as SELECT, UPDATE, DELETE, and INSERT commands.

  • Familiarity with Microsoft Windows Operating System and Its Core Functionality: Comfortable with navigating the Windows environment, using Windows-based programs, and basic file management.

  • Understanding of Data Warehousing: An introductory knowledge of what a data warehouse is and the role it plays in business intelligence.

These prerequisites are intended to provide a foundation that will help you to more easily understand the course material and participate in the labs. If you feel you may not meet these prerequisites, we offer introductory courses that can help prepare you for this more advanced training.

Target Audience for Implementing a Data Warehouse with Microsoft SQL Server 2014

This course equips IT professionals with the skills to implement a data warehouse using Microsoft SQL Server 2014.

  • Database professionals who need to create and support a data warehousing solution
  • SQL Server database administrators and developers
  • Business Intelligence (BI) professionals
  • Data analysts seeking to understand data warehousing concepts and implementation
  • IT professionals interested in learning about data extraction, transformation, and loading (ETL) with SQL Server Integration Services (SSIS)
  • System engineers who manage and maintain SQL Server environments with a focus on data warehousing
  • Professionals preparing for Microsoft certification exams related to data warehousing and SQL Server
  • Technical team leaders overseeing data warehousing projects
  • Consultants who design and offer solutions for data management and warehousing
  • Data architects responsible for designing data warehouse schemas and data integration workflows

Learning Objectives - What you will Learn in this Implementing a Data Warehouse with Microsoft SQL Server 2014?

Introduction to Learning Outcomes

This course provides comprehensive coverage of data warehouse implementation using Microsoft SQL Server 2014, focusing on ETL processes, data quality, and BI solutions.

Learning Objectives and Outcomes

  • Understand the key components and considerations in data warehousing and learn to evaluate data warehouse solutions.
  • Plan and design a robust data warehouse infrastructure that includes hardware considerations and data warehouse architecture.
  • Gain practical skills in designing and implementing a data warehouse with dimension and fact tables, and physical design.
  • Develop proficiency in creating ETL solutions with SQL Server Integration Services (SSIS), including data flow and control flow.
  • Learn to debug, troubleshoot, and handle errors effectively in SSIS packages to ensure data integrity.
  • Implement data extraction techniques for modified data and plan incremental data loads for maintaining an up-to-date data warehouse.
  • Enforce data quality using SQL Server Data Quality Services (DQS) and cleanse and deduplicate data effectively.
  • Master the implementation and management of Master Data Services (MDS) to create a centralized master data hub.
  • Extend SSIS capabilities with custom scripts and components to meet complex data integration requirements.
  • Deploy, configure, and execute SSIS packages while planning for a secure, reliable, and efficient data warehouse execution environment.