Skip to content

Loading...

Hero Background
Advanced Level5 Gün

Comprehensive Big Data Training: Ecosystem, Architecture, and Analytics

Transform massive data volumes into strategic insights by mastering the 4Vs. Learn to build data-driven futures using Hadoop, Apache Spark, NoSQL, and real-time processing architectures.

Enroll Now

About This Course

Big Data is a comprehensive set of technologies that enables the collection, storage, processing, and analysis of very high volumes, rapidly flowing, and diverse types of data, going beyond traditional data processing methods. This training aims to equip participants with the skills to support businesses in making data-driven strategic decisions by delving deeply into big data concepts, architectures, ecosystem tools, and analytical methods.

Who Is This For?

Data engineers, data analysts, and data scientists
Software developers and system architects
Business Intelligence (BI) professionals and strategists
Tech leaders and managers interested in Big Data infrastructure

Learning Outcomes

Requirements

Basic familiarity with SQL and database logic.
Basic programming knowledge (preferably Python, Java, or Scala).
General understanding of IT architectures.

Course Curriculum

Course Introduction and Objectives

  • General framework of the training content: history, use cases, and industry examples
  • Learning outcomes: core concepts, architectural understanding, hands-on projects, case studies
  • Setting participant expectations and explaining the training methodology (theoretical, practical, interactive)

Concept and History of Big Data

  • Comparison of traditional data processing methods with Big Data
  • Causes of the Big Data revolution, data explosion, and digital transformation processes
  • Detailed examination of the 4Vs (Volume, Velocity, Variety, Veracity)

Fundamental Terms and Concepts

  • Distributed computing, parallel processing, Data Lakes, and Data Warehouses
  • Differences between batch processing and real-time (streaming) data processing
  • Data integration, and the role and importance of ETL/ELT processes

Instructor

Şükrü Yusuf Kaya

Şükrü Yusuf Kaya

AI Consultant & Instructor

Şükrü Yusuf KAYA is an internationally experienced AI Consultant and Technology Strategist leading the integration of artificial intelligence technologies into the global business landscape. With operations spanning 6 different countries, he bridges the gap between the theoretical boundaries of technology and practical business needs, overseeing end-to-end AI projects in data-critical sectors such as banking, e-commerce, retail, and logistics. Deepening his technical expertise particularly in Generative AI and Large Language Models (LLMs), KAYA ensures that organizations build architectures that shape the future rather than relying on short-term solutions. His visionary approach to transforming complex algorithms and advanced systems into tangible business value aligned with corporate growth targets has positioned him as a sought-after solution partner in the industry. Distinguished by his role as an instructor alongside his consulting and project management career, Şükrü Yusuf KAYA is driven by the motto of "Making AI accessible and applicable for everyone." Through comprehensive training programs designed for a wide spectrum of professionals—from technical teams to C-level executives—he prioritizes increasing organizational AI literacy and establishing a sustainable culture of technological transformation.

Frequently Asked Questions