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Apache Kylin - From Classic OLAP to Real-Time Data Warehouse

This training introduces participants to the world of Apache Kylin, an advanced OLAP engine for big data. The program focuses on practical use of the platform for building efficient real-time analytical solutions. Participants will learn system architecture and how to design and implement analytical solutions on large datasets using Apache Kylin technology.

Required Participant Preparation

  • Basic SQL knowledge

  • Experience working with databases

  • Knowledge of big data architecture basics

  • Understanding of OLAP concepts

Benefits

  • Ability to design efficient OLAP solutions
  • Knowledge of Apache Kylin architecture
  • Practical experience in OLAP cube building
  • Ability to optimize analytical queries
  • Capability to integrate with real-time systems
  • Knowledge of best practices in Big Data projects
  • Of lambda and kappa architecture

Who is this training for?

Big Data solution architects
Data engineers
Analytical systems developers
Database administrators
Business Intelligence specialists
Data analysts working with large datasets
Real-time systems architects

Training program

01

Introduction to Apache Kylin

  • System architecture
  • Basic OLAP concepts
  • Hadoop ecosystem integration
  • Comparison with traditional solutions
02

Data Model Design

  • Dimensional modeling
  • Schema optimization
  • OLAP cube design
  • Data aggregation strategies
03

Solution Implementation

  • Environment configuration
  • OLAP cube building
  • Performance optimization
  • Metadata management
04

Real-Time Solutions

  • Streaming data ingestion
  • Incremental processing
  • Monitoring and diagnostics
  • BI tools integration

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

Who is the Apache Kylin - From Classic OLAP to Real-Time Data Warehouse training for?

The target audience includes Big Data solution architects, data engineers, and analytical systems developers. Level: intermediate.

How long is the Apache Kylin - From Classic OLAP to Real-Time Data Warehouse training?

The training lasts 2 days. It is delivered online or on-site.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT is ISO 9001 certified.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.

Anna Polak
Anna Polak Opiekun szkolenia

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