Course Details
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Apache Kylin: Real-Time OLAP on Big Data Training Course
Kategorie: Data Analysis Training
Course Overview
Apache Kylin is a distributed analytics engine designed to provide OLAP (Online Analytical Processing) capabilities on big data. With the release of version 5.0, Kylin introduces real-time streaming support, enabling sub-second query responses on streaming data sources like Kafka. The platform offers a powerful SQL interface, seamless integration with BI tools, and a redesigned web UI for intuitive modeling and analysis. This instructor-led, live training (online or onsite) is aimed at intermediate-level big data professionals who wish to utilize Apache Kylin for building real-time data warehouses and performing multidimensional analysis on large-scale datasets. By the end of this training, participants will be able to: Set up and configure Apache Kylin with real-time streaming data sources. Design and build OLAP cubes for both batch and streaming data. Perform complex queries with sub-second latency using Kylin's SQL interface. Integrate Kylin with BI tools for interactive data visualization. Optimize performance and manage resources effectively in Kylin. Format of the Course Interactive lecture and discussion. Lots of 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 course is available as onsite live training in USA or online live training.
Learning Objectives
By the end of this course, participants will be able to:
- Understand the fundamental concepts covered in this course
- Apply theoretical knowledge to practical scenarios
- Develop skills relevant to the course subject matter
- Analyze and evaluate key concepts and methodologies
- Implement best practices in real-world situations
- Demonstrate competency in the course material
Course Outline
- Module 1: Introduction and Fundamentals
- Module 2: Core Concepts and Principles
- Module 3: Practical Applications
- Module 4: Advanced Topics
- Module 5: Implementation and Best Practices
Course Goals
This course is designed to:
- Provide comprehensive knowledge in the subject area
- Enhance professional skills and competencies
- Prepare participants for industry challenges
- Foster critical thinking and problem-solving abilities
- Support career advancement and professional development
Training Methodology
Participants will experience a combination of engaging lectures, group discussions, case studies, and hands-on exercises. Our expert instructors will provide insights and guide you through practical applications relevant to your industry.
Who Should Attend
This course is designed for professionals who want to enhance their knowledge and skills in this subject area. Ideal participants include:
- Managers and Team Leaders
- Senior Professionals
- Department Heads
- Consultants and Advisors
- Business Development Professionals