Business Intelligence Reporting Tool (BIRT) Training Course

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate-level participants who wish to master advanced data integration and visualization techniques in Looker Studio, and learn how to connect diverse data sources, design compelling dashboards, and automate reporting workflows to drive better business decisions.

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

• Connect and integrate multiple data sources into Looker Studio.
• Create custom metrics and calculated fields for tailored analysis.
• Design advanced visualizations, including interactive filters and charts.
• Automate reporting workflows for real-time data updates.
• Apply best practices for visual storytelling and report customization.

This instructor-led, live training in South Korea (online or onsite) is designed for data scientists and analysts who wish to learn how to utilize each tool in the Developer Tool Palette within Alteryx Designer.

Upon completing this training, participants will be able to:

• Effectively utilize and configure all tools found in the Developer tab.
• Create efficient workflows in Alteryx by leveraging dynamic, validation, and testing tools.
• Harness API tools to download and parse web-based data.
• Apply Alteryx scripting capabilities, including Python and R.

Alteryx Designer serves as a visual data preparation and analytics platform, empowering users to blend, transform, and automate data workflows with minimal coding required.

This instructor-led live training, available online or onsite, targets beginner to intermediate professionals seeking to acquire practical Alteryx skills for data preparation, data blending, basic analytics, and workflow automation.

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

• Develop Alteryx workflows for common data preparation tasks.
• Combine and parse data from various sources and formats.
• Create and utilize standard macros to encapsulate reusable logic.
• Organize and automate workflows using best-practice techniques.

Course Format

• Interactive lectures and demonstrations.
• Hands-on exercises utilizing Alteryx Designer and sample data.
• Practical mini-projects and workflow automation tasks.

Course Customization Options

• For customized training requests, please contact us to arrange.

This instructor-led live training, delivered online or on-site in South Korea, is tailored for intermediate-level data analysts who aim to understand the theoretical aspects of Cognos 11 and learn how to apply it effectively.

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

• Understand the differences and enhancements in Cognos 11 compared to Cognos 10.
• Utilize the improved data module and data management features for more efficient data handling.
• Implement best practices for a smooth transition and optimal use of Cognos 11.

This instructor-led, live training in South Korea (online or onsite) is designed for consultants and finance professionals ranging from beginner to advanced levels who aim to prepare for the Cognos Analytics certification. The program provides expertise in financial data analysis, covering key areas such as accounts payable, treasury, and expenses.

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

• Navigate and effectively use the Cognos Analytics interface.
• Develop and customize financial reports and dashboards.
• Manage data models and optimize queries.
• Prepare for the Cognos Analytics certification exam.

This instructor-led, live training in South Korea (online or onsite) is aimed at business analysts who wish to use IBM Cognos for data analysis and reporting.

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

• Analyze and share insights about data.
• Visualize business performance.
• Use AI-assisted preparation to cleanse and combine data sources.
• Uncover hidden patterns in data with IBM Cognos Analytics built-in AI features.

This instructor-led, live training in South Korea (online or onsite) is designed for beginner to intermediate-level participants who aim to build foundational skills in data visualization and reporting using Looker Studio. Participants will learn how to connect data sources, effectively visualize information, and gain actionable insights.

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

• Understand the core features of Looker Studio and its use cases.
• Set up Looker Studio and connect to various data sources.
• Create engaging dashboards with charts, graphs, and filters.
• Customize reports for specific audiences and business needs.
• Collaborate on and share dashboards effectively.

This instructor-led, live training in South Korea (online or onsite) is designed for data analysts and data scientists seeking to use Metabase to collect, query, and visualize data for business intelligence analysis and reporting.

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

• Install and configure Metabase to begin creating data visualizations and dashboards.
• Query, aggregate, and visualize data effectively within Metabase.
• Utilize Metabase’s features and tools to craft SQL queries.
• Develop analytics charts and dashboards to derive actionable business insights.
• Apply best practices and troubleshooting tips for using Metabase and resolving common issues.

Pentaho Data Integration is an open-source data integration tool for defining jobs and data transformations.

In this instructor-led, live training, participants will learn how to use Pentaho Data Integration's powerful ETL capabilities and rich GUI to manage an entire big data lifecycle and maximize the value of data within their organization.

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

• Create, preview, and run basic data transformations containing steps and hops
• Configure and secure the Pentaho Enterprise Repository
• Harness disparate sources of data and generate a single, unified version of the truth in an analytics-ready format.
• Provide results to third-part applications for further processing

Audience

• Data Analyst
• ETL developers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Pentaho Data Integration serves as a robust platform for architecting enterprise-grade ETL processes and data pipelines.

This instructor-led live training, available online or onsite, is tailored for advanced engineers aiming to master high-performance, large-scale, and highly automated PDI solutions.

Upon completion of this course, participants will be able to:

• Architect large-scale ETL pipelines with sophisticated orchestration.
• Optimize complex transformations to achieve peak performance.
• Implement scripting, automation, and hybrid integration patterns.
• Design robust, maintainable workflows ready for production.

Course Format

• Demonstrations and architectural discussions led by experts.
• Extensive lab exercises focusing on advanced, real-world ETL challenges.
• Hands-on development within a production-like environment.

Customization Options

• Please contact us if you need a customized version of this training.

Pentaho Data Integration serves as a robust platform for data extraction, transformation, and loading.

This instructor-led live training, available both online and onsite, is designed for intermediate-level practitioners looking to elevate their PDI skills for handling more complex transformation scenarios.

After completing this training, participants will be equipped to:

• Design multi-step transformations with enhanced performance.
• Effectively utilize variables, parameters, and reusable components.
• Seamlessly integrate PDI with databases, APIs, and external systems.
• Implement best practices to ensure maintainable and scalable ETL pipelines.

Course Format

• Interactive demonstrations accompanied by instructor explanations.
• Guided exercises and scenario-based practice.
• Hands-on experience within a real-world ETL project environment.

Course Customization Options

• For a customized version of this course, please contact us to tailor it to your needs.

This instructor-led live training in South Korea (online or onsite) is designed for data analysts and data scientists who wish to search, analyze, and visualize data using Splunk.

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

• Install and configure Splunk.
• Collect and index all kinds of machine data.
• Implement real-time search, analysis, and visualization of large datasets.
• Create and share complex dashboards and reports.

This instructor-led, live training in South Korea (online or onsite) is aimed at intermediate-level data analysts who wish to deepen their understanding of Splunk and build upon their foundational knowledge acquired in Splunk Fundamentals 1.

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

• Conduct advanced searches using Splunk's powerful search commands and capabilities.
• Utilize subsearches, statistical commands, and evaluation functions to analyze data.
• Create sophisticated reports and dashboards with advanced visualization options.
• Implement alerts and scheduled reports for monitoring and notification purposes.

This instructor-led live training in South Korea (online or onsite) is aimed at intermediate-level IT administrators who wish to use Splunk to profile and manage IT infrastructure, optimize system architecture, troubleshoot effectively, and leverage Splunk’s capabilities for comprehensive data analysis and real-time monitoring.

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

• Understand and manage the complete Splunk infrastructure.
• Master Splunk architecture and components.
• Troubleshoot common and advanced issues effectively.
• Utilize Splunk to its full potential for data analysis, monitoring, and reporting.
• Administer data inputs, user management, and system configurations.

This instructor-led, live training in South Korea (online or onsite) is aimed at engineers who wish to get data into Splunk Indexers and manipulate data in Splunk.

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

• Use different data input methods and sources.
• Install, configure, manage and monitor Forwarders.
• Manipulate raw data in Splunk.
• Create a Splunk Diag.