Build practical data warehousing and SQL development skills with Developing SQL Data Warehouse Training, a comprehensive course designed for SQL developers, database developers, data engineers, BI professionals, data analysts, database administrators, and IT specialists who want to design and develop efficient data warehouse solutions.
Duration 3 days – 21 hrs.
Overview
The Developing SQL Data Warehouse Training is an intensive, hands-on course designed to help database and data professionals build a strong foundation in SQL data warehousing, dimensional modeling, ETL processes, and analytical database design. Participants will learn how to design and develop efficient data warehouse solutions that transform raw data from multiple sources into structured, reliable, and analysis-ready information.
The course introduces the core concepts and architecture behind modern data warehouse development, including the differences between operational systems and analytical environments. Participants will explore OLTP and OLAP systems, data warehouse infrastructure, storage concepts, and the role of SQL in supporting business intelligence, reporting, and data analytics.
A major focus of the training is data modeling for data warehouses. Participants will learn how to organize business data using dimensional modeling techniques, including fact tables, dimension tables, star schemas, and Slowly Changing Dimensions (SCDs). Through practical exercises, learners will gain experience designing data structures that support efficient reporting, historical analysis, and business decision-making.
The course also explores the ETL and ELT processes used to move and prepare data for a data warehouse. Participants will gain an understanding of data sources, transformation workflows, and data loading techniques, including practical exposure to SQL Server Integration Services (SSIS) for building and managing ETL processes.
In addition, participants will learn essential techniques for improving SQL data warehouse performance and scalability. Topics include indexing strategies, columnar storage, massive parallel processing, and considerations when choosing between cloud-based and on-premises data warehouse environments.
Through hands-on activities and real-world scenarios, participants will apply the concepts learned throughout the course to design and develop a complete data warehouse solution.
By the end of the Developing SQL Data Warehouse Training, participants will have a practical understanding of how to design data warehouse architectures, create dimensional data models, develop ETL workflows, manage historical data, and optimize SQL-based data warehouse solutions for reporting, analytics, and business intelligence.
Learning Objectives
- Understand the fundamentals of database development.
- Explore the lifecycle of database development.
- Install and configure SQL Server.
- Familiarize with SQL Server Management Studio (SSMS).
- Master the principles of Entity-Relationship Diagrams (ERD).
- Apply normalization techniques for effective data modeling.
- Work with advanced data modeling concepts like views, indexes, and triggers.
- Implement Temporal Tables for time-based data storage.
- Acquire proficiency in T-SQL syntax and data types.
- Perform data retrieval with SELECT statements.
- Utilize joins, subqueries, and Common Table Expressions (CTEs).
- Implement dynamic SQL and stored procedures.
- Create and manage stored procedures.
- Develop user-defined functions and implement triggers.
- Analyze query execution plans for optimization.
- Implement indexing strategies for enhanced performance.
- Manage security at the database and object levels.
- Implement secure data encryption.
- Design and implement backup and recovery strategies.
- Monitor and maintain SQL Server databases.
Audience
- Database Developers: Individuals responsible for designing, implementing, and maintaining databases.
- Database Administrators (DBAs): DBAs seeking to enhance their skills in database development and optimization.
- SQL Server Developers: Developers working specifically with SQL Server databases and aiming to deepen their knowledge.
- Data Analysts and Data Scientists: Professionals involved in data analysis and scientific research who want to strengthen their database development skills.
- Business Intelligence (BI) Developers: BI professionals working with SQL Server databases as part of their data analysis and reporting tasks.
- IT Professionals and System Administrators: IT professionals and system administrators involved in managing and maintaining SQL Server databases.
- Software Engineers and Architects: Software engineers and architects interested in database design and interaction with SQL Server databases.
- Technology Managers: Managers overseeing technology teams, wanting to ensure their teams are well-versed in SQL database development.
- IT Students and Graduates: Students pursuing a career in IT, computer science, or related fields with an interest in database development.
- Business Analysts: Business analysts involved in querying databases to extract meaningful insights for decision-making.
- Anyone Involved in Database Development: Individuals from various roles who interact with databases and want to improve their database development skills.
Pre- requisites
- Must know how to use computer
- Proficiency in spreadsheets is an advantage.
- Basic knowledge in SQL is an advantage.
Course Content
Module 1: Data Warehouse Overview
- Data Warehouse Basics
- Data Warehouse architecture
- Data Warehouse infrastructure
- Columnar storage
- OLTP vs OLAP
Module 2: Data Modeling
- Setting up an ETL process
- Dimensional Modeling: Facts & Dimensions
- Implementing a complete data warehouse hands-on
- Slowly Changing Dimensions
Module 3: Data Transformation
- Understanding ETL tools
- ELT vs. ETL
- Data sources
- ETL with SSIS
Module 4: Optimization, Deployment, and Processing Technique
- Optimizing a data warehouse using indexes
- Cloid vs on-premises data warehouse
- Massive parallel processing
- Columnar storage
