Transact SQL Advanced Training Course

This instructor-led, live training in Kenya (online or onsite) is tailored for intermediate-level database administrators, developers, and analysts who wish to master advanced SQL functionalities for complex data operations and database management.

Upon completing this training, participants will be able to:

• Execute advanced querying techniques utilizing unions, subqueries, and complex joins.
• Precisely add, update, and delete data, tables, views, and indexes.
• Guarantee data integrity through transactions and manipulate database structures.
• Efficiently create and manage databases for robust data storage and retrieval.

AI for SQL involves applying artificial intelligence and large language models (LLMs) to automate, optimize, and improve how SQL queries are generated, executed, and interpreted in enterprise data environments.

This instructor-led live training, available both online and onsite, targets intermediate-level data engineers and technical leads looking to incorporate AI capabilities into their SQL workflows. The goal is to facilitate natural language querying, intelligent optimization, and automated data analysis.

Upon completing this training, participants will be able to:

• Integrate LLMs such as GPT, DeepSeek, LLaMA, Qwen, and Mistral into SQL environments.
• Develop natural-language-to-SQL pipelines to enable conversational data access.
• Implement AI-driven solutions for query optimization and error detection.
• Design secure, auditable AI-SQL workflows suitable for enterprise use.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This guided, live training in Kenya (online or on-site) is designed for intermediate-level database administrators, SQL developers, and data analysts who wish to improve their SQL skills by mastering the application of Analytic Functions.

By the end of this training, participants will be able to:

• Understand the concept and importance of Analytic Functions.
• Apply various Analytic Functions to solve complex analytical problems.
• Combine Analytic Functions with other SQL features for comprehensive data analysis.
• Optimize queries for better performance using Analytic Functions.

 SQL Database Management and Design equips practitioners with advanced techniques for building relational databases from foundational queries to schema design. Covers core principles of SQL query commands, union operations, aggregation functions, and entity relationship modeling. Examines proven methods for multi-table joins, transaction management, and ACID properties. Helps professionals normalize tables, optimize data selection, and design robust database architectures for reliable information systems.

This instructor-led, live training in Kenya (online or on-site) is aimed at intermediate-level database administrators and IT professionals who wish to optimize the performance of Oracle Database 19c.

By the end of this training, participants will be able to:

• Understand Oracle Database 19c performance tuning concepts.
• Use performance management tools effectively.
• Optimize database performance through tuning techniques.
• Troubleshoot and resolve performance issues.

This course is designed to deliver a comprehensive understanding of SQL usage across various database platforms, including Oracle, SQL Server, and MS Access. By mastering analytic functions and techniques for joining multiple tables, participants will learn to shift data analysis operations from MS Excel directly to the database layer. This approach not only enhances analytical efficiency but also supports the development of IT systems reliant on relational databases.

SQL serves as the standard language for interacting with and managing databases.

This instructor-led training session, available either online or at your location, is designed for beginners eager to learn how to use SQL for querying and reporting on data.

Upon completing this training, participants will be able to:

• Comprehend the architecture of relational databases.
• Compose fundamental SQL statements to retrieve, filter, and sort information.
• Utilize aggregate functions to summarize data sets.
• Execute basic joins across multiple tables.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on practice in a live-lab setting.

Customization Options

• To request a tailored training version of this course, please get in touch with us to make arrangements.

This instructor-led, live training in Kenya (online or onsite) is targeted at beginner to intermediate-level data analysts, database professionals, and software developers who wish to learn SQL for effective database management.

By the end of this training, participants will be able to:

• Understand and use fundamental SQL commands and queries.
• Create and manipulate tables and databases.
• Use SQL to sort, filter, and summarize data.
• Implement more complex operations like joins, subqueries, and set operations.
• Apply intermediate techniques such as indexes, views, stored procedures, and triggers.

This instructor-led, live training (available online or onsite) is designed for software developers, managers, and business analysts who want to leverage big data systems to store and retrieve vast amounts of information.

By the end of this training, participants will be able to:

• Query large volumes of data efficiently.
• Understand how Big Data systems store and retrieve data
• Utilize the latest big data systems available
• Transform data from various data systems into reporting platforms
• Learn to write SQL queries in:
  • MySQL
  • Postgres
  • Hive Query Language (HiveQL/HQL)
  • Redshift

Format of the Course

• Interactive lecture and discussion.
• Ample exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Kenya (online or on-site) is aimed at beginners, programmers, and database administrators who wish to learn or improve their SQL development skills and knowledge.

By the end of this training, participants will be able to install, create, manage, manipulate, and monitor databases using SQL and database management systems.

SQL is a standardized language used to query, manipulate, and manage data within relational database systems.

This instructor-led, live training (online or onsite) is aimed at beginner-level to advanced-level users who wish to build efficient SQL queries and work confidently with relational databases.

By the end of this training, participants will gain the skills to:

• Construct SQL queries to retrieve, filter, and sort data.
• Manipulate data using insert, update, and delete operations.
• Create joins, subqueries, and aggregated reports.
• Apply advanced SQL techniques for real-world data analysis.

Format of the Course

• Instructor-led lectures combined with guided discussions.
• Hands-on query building and practical exercises.
• Live-lab demonstrations using real datasets.

Course Customization Options

• If you require a tailored SQL program for your organization, please contact us to arrange.

This SQL training course is designed for individuals seeking to acquire the essential skills required to extract, analyze, and report on data from any database. Participants will learn:

• How to formulate SQL queries
• The concept of relational databases and how to leverage them
• The nature of relationships and how to establish them
• The underlying structure of data
• The distinctions between various SQL dialects (such as Oracle, T-SQL, and ANSI)
• Practical techniques for writing queries

This course focuses on standard ANSI SQL, which is compatible with a wide range of database systems, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and other relational databases.

SSAS (SQL Server Analysis Services) is a Microsoft SQL Server tool for OLAP (Online Analytical Processing) and data mining, designed to analyze data across various databases, tables, or files. Its semantic data models enable client applications like Power BI, Excel, Reporting Services, and other visualization tools to leverage complex data structures effectively.

Through this instructor-led live training (available onsite or remotely), participants will learn to utilize SSAS for analyzing large-scale data within databases and data warehouses.

Upon completing this training, participants will be able to:

• Install and configure SSAS
• Understand the interplay between SSAS, SSIS, and SSRS
• Apply multidimensional data modeling to derive business insights
• Design OLAP (Online Analytical Processing) cubes
• Query and manipulate multidimensional data using the MDX (Multidimensional Expressions) language
• Deploy real-world BI solutions leveraging SSAS

Target Audience

• BI (Business Intelligence) professionals
• Data Analysts
• Database and data warehousing professionals

Training Format

• Interactive lectures and discussions
• Extensive exercises and practical sessions
• Hands-on implementation in a live-lab environment

Course Customization Options

• This training is built on the latest version of Microsoft SQL Server and SSAS.
• To request customized training for this course, please contact us to arrange.

This instructor-led, live training in Kenya (online or onsite) is aimed at beginner-level data professionals who wish to learn how to design, implement, and manage SSIS packages to perform data integration and transformation tasks.

By the end of this training, participants will be able to:

• Understand the architecture and components of SSIS.
• Design and implement ETL processes using SSIS.
• Use SSIS tools to develop, deploy, and manage data integration solutions.
• Troubleshoot and optimize SSIS packages for performance and reliability.

SQL Server Integration Services (SSIS) serves as a core component of Microsoft SQL Server, offering a robust platform for data integration and workflow solutions. It is extensively utilized for tasks involving data migration, warehousing, and transformation.

This instructor-led live training, available either online or onsite, targets intermediate-level data professionals and developers seeking to master the design of advanced SSIS data flows, complex transformations, and the management of Slowly Changing Dimensions (SCD) within data warehousing environments.

Upon completion of this training, participants will be equipped to:

• Design and deploy resilient data flows using SSIS.
• Effectively interact with diverse data sources, destinations, and transformation components.
• Implement Slowly Changing Dimensions (SCD) to manage historical data changes accurately.
• Deploy, execute, and troubleshoot SSIS packages with efficiency.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• For customized training arrangements, please contact us directly.