Enterprise Data Architecture 2 Days Training in North Las Vegas, NV

Duration:

2 Days (20 Executive Education Credits)

• 16 from the live training session (8 Credits per day)

• 2 from Pre-Training Workbook (data readiness assessment & architecture reflection)

• 2 from Post-Training Resource Pack (implementation activities & data engineering roadmap)

Mode:

Instructor-Led Virtual Live Session / In-Person / Corporate In-House

Course Overview

Modern Data Engineering Essentials is a comprehensive and practical program designed to help professionals understand how modern organizations collect, store, process, integrate, and manage data at scale. As businesses increasingly depend on data-driven strategies, the ability to build reliable, scalable, and efficient data ecosystems has become a critical organizational capability.

This program introduces participants to the foundations of modern data engineering, including data architecture, data pipelines, data integration, cloud data platforms, data lakes, data warehouses, data quality management, governance frameworks, and real-time data processing concepts.

Participants will learn how data moves through modern organizations—from source systems to business intelligence platforms—and how effective data engineering supports analytics, Artiflcial Intelligence, Machine Learning, reporting, automation, and decision-making initiatives.

Unlike traditional database-focused programs, this workshop emphasizes modern cloud-native architectures, scalable data platforms, automation-driven data workflows, and business-focused implementation strategies. The course combines technical concepts with practical business applications, making it valuable for both technical and non-technical professionals involved in data initiatives.

Through real-world case studies, architecture discussions, data flow simulations, process mapping exercises, and implementation planning workshops, participants will develop the

confldence to contribute to data transformation initiatives and support modern data-driven organizations.

By the end of the program, participants will create a Modern Data Architecture Blueprint and a 90-Day Data Engineering Adoption Roadmap.

Why Join This Course?

• Understand modern data engineering fundamentals

• Learn how data pipelines support business intelligence and analytics

• Explore cloud-based data platforms and architectures

• Understand data lakes, warehouses, and modern storage systems

• Improve data quality, reliability, and governance practices

• Learn how organizations build scalable data ecosystems

• Support AI, analytics, and automation initiatives with quality data

• Understand modern ETL and ELT approaches

• Develop practical data engineering implementation plans

• Recognition – Certiflcate of Completion + 20 Executive Education Credits

Learning Objectives

Participants will be able to:

• Understand modern data engineering concepts and architectures

• Identify key components of data ecosystems

• Understand ETL, ELT, and data pipeline frameworks

• Evaluate cloud-based data platforms and storage solutions

• Improve data quality, governance, and reliability practices

• Understand batch and real-time data processing approaches

• Design scalable data workflows and architectures

• Support analytics, AI, and Machine Learning initiatives through data engineering

• Build practical data engineering roadmaps

• Create a structured data architecture blueprint

Target Audience

• Data Analysts

• Data Engineers

• Business Intelligence Professionals

• Analytics Managers

• IT Managers

• Digital Transformation Leaders

• Technology Consultants

• Database Professionals

• Operations & Reporting Teams

• Professionals involved in data initiatives

Certiflcation & Credits

Participants will receive the Certiflcate of Completion from Skelora Edu Tech along with 20 Executive Education Credits (EEC).

Trainer Proflle

Delivered by experienced Data Engineering, Cloud Architecture, Analytics, and Digital Transformation professionals with extensive experience designing and implementing modern data ecosystems. Trainers combine technical expertise with practical business knowledge to ensure immediate workplace application.

The program emphasizes real-world implementation, modern architecture practices, cloud-native thinking, governance frameworks, and scalable data solutions that support organizational growth and innovation.

Note

Pre-training and post-training activities each carry 2 Executive Education Credits and are designed to strengthen implementation readiness, learning retention, and workplace application.

Participants will complete a Modern Data Architecture Blueprint and a 90-Day Data Engineering Adoption Roadmap as part of the program deliverables.