# Event Details

- **Event Name**: Data Engineering Workshop 2 Days Training in Pasadena, CA
- **Event Start and End Date**: Fri, 17 Jul, 2026 at 09:00 am – Wed, 30 Jun, 2027 at 05:00 pm (-04:00)
- **Event Description**: Learn to design data pipelines, manage ETL processes, leverage cloud platforms, and build scalable analytics solutions with Skelora Edu TechAbout this EventDuration: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-HouseCourse OverviewModern 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 theconfldence 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 CreditsLearning ObjectivesParticipants 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 blueprintTarget 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 initiativesCertiflcation & CreditsParticipants will receive the Certiflcate of Completion from Skelora Edu Tech along with 20 Executive Education Credits (EEC).Trainer ProflleDelivered 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.NotePre-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.AgendaPre-Training Workbook (2 Credits)Info: Participants will complete a structured readiness assessment before attending the workshop.
Activities include:
•	Data Environment Assessment
•	Current Architecture Review
•	Data Quality Reflection
•	Reporting & Analytics Readiness Evaluation
•	Data Integration Challenges Assessment
•	Cloud Readiness Reflection
•	Business Data Needs Analysis
•	Learning Goal Development
This preparation ensures participants arrive with a clear understanding of their organization's current data landscape and future opportunities.Training Day Structure – 16 Modules (16 Hours, 16 Credits)Day 1 – Foundations of Modern Data EngineeringModule 1: Introduction to Modern Data EngineeringInfo: •	Evolution of data management
•	The role of data engineering in modern organizations
•	Data-driven business transformation
•	Current industry trends and future outlookModule 2: Data Architecture FundamentalsInfo: •	Understanding modern data architectures
•	Data ecosystem components
•	Data flow design principles
•	Enterprise data architecture conceptsModule 3: Data Sources & Data IntegrationInfo: •	Structured and unstructured data
•	Internal and external data sources
•	Data integration fundamentals
•	Data movement strategiesModule 4: ETL & ELT EssentialsInfo: •	Understanding ETL workflows
•	Modern ELT architectures
•	Data transformation concepts
•	Business use cases and implementation scenariosModule 5: Data Warehouses & Data LakesInfo: •	Data storage evolution
•	Modern warehouse architectures
•	Data lake fundamentals
•	Choosing the right storage strategyModule 6: Data Quality & ReliabilityInfo: •	Data quality frameworks
•	Data validation techniques
•	Managing data consistency
•	Improving trust in business dataModule 7: Cloud Data PlatformsInfo: •	Cloud data ecosystem overview
•	Modern cloud architecture principles
•	Scalability and performance considerations
•	Cloud adoption strategiesModule 8: Data Engineering WorkshopInfo: •	Architecture review exercise
•	Data flow mapping
•	Data quality assessment
•	Data modernization planningDay 2 – Advanced Data Engineering & ImplementationModule 9: Data Pipelines & Workflow OrchestrationInfo: •	Pipeline design principles
•	Workflow automation concepts
•	Pipeline monitoring and maintenance
•	Operational best practicesModule 10: Real-Time & Streaming Data ConceptsInfo: •	Batch vs real-time processing
•	Event-driven architectures
•	Streaming fundamentals
•	Business applications of real-time dataModule 11: Data Governance & ComplianceInfo: •	Governance frameworks
•	Data stewardship principles
•	Privacy and compliance considerations
•	Building trusted data environmentsModule 12: Data Security & Risk ManagementInfo: •	Data protection strategies
•	Access control principles
•	Security best practices
•	Risk mitigation frameworksModule 13: Supporting Analytics, AI & Machine LearningInfo: •	Data engineering for analytics
•	Preparing data for Machine Learning
•	Supporting AI initiatives
•	Data readiness frameworksModule 14: Data Engineering Metrics & PerformanceInfo: •	Measuring data platform effectiveness
•	Data reliability indicators
•	Operational KPIs
•	Continuous improvement strategiesModule 15: Enterprise Data Engineering RoadmapsInfo: •	Prioritization frameworks
•	Scaling data initiatives
•	Building organizational capability
•	Long-term data strategy developmentModule 16: Modern Data Engineering CapstoneInfo: •	Data architecture blueprint creation
•	Roadmap development
•	Peer review and discussion
•	90-Day implementation planningPost-Training Resource Pack (2 Credits)Info: Participants will receive a comprehensive implementation toolkit designed to support data engineering initiatives within their organizations.
The resource pack includes:
•	90-Day Data Engineering Challenge
•	Data Architecture Assessment Templates
•	Data Quality Improvement Toolkit
•	Data Pipeline Planning Worksheets
•	Governance Readiness Checklist
•	Data Integration Planning Framework
•	Data Engineering KPI Tracker
•	Cloud Readiness Assessment Guide
•	Data Modernization Roadmap Planner
•	Continuous Improvement Workbook
- **Event URL**: https://allevents.in/pasadena/data-engineering-workshop-2-days-training-in-pasadena-ca/100001992684035592
- **Event Categories**: workshops, contests
- **Interested Audience**: 
  - total_interested_count: 0
- **Event Highlights**: 
  - Duration: 8 hours
  - Location: For venue information, Please contact us: info@skelora.com
  - Languages: English

## Ticket Details

- **Ticket Price Range**: min: 1245.15, max: 1452.55, currency: USD

## Event venue details

- **city**: Pasadena
- **state**: CA
- **country**: United States
- **location**: For venue information, Please contact us: info@skelora.com
- **lat**: 34.1427587
- **long**: -118.1386005
- **full address**: For venue information, Please contact us: info@skelora.com, Pasadena, CA, United States

## Event gallery

- **Alt text**: Data Engineering Workshop 2 Days Training in Pasadena, CA
  - **Image URL**: https://cdn-az.allevents.in/events10/banners/4562dd815c899fc13afb3955e12e5de121a50418b93f9cf4dd98553a3b1d99cf-rimg-w1200-h675-dc013192-gmir.jpg?v=1783420521

## FAQs

- **Q**: When and where is Data Engineering Workshop 2 Days Training in Pasadena, CA being held?
  - **A:** Data Engineering Workshop 2 Days Training in Pasadena, CA takes place on Fri, 17 Jul, 2026 at 09:00 am to Wed, 30 Jun, 2027 at 05:00 pm at For venue information, Please contact us: info@skelora.com, Pasadena, CA, United States.
- **Q**: Who is organizing Data Engineering Workshop 2 Days Training in Pasadena, CA?
  - **A:** Data Engineering Workshop 2 Days Training in Pasadena, CA is organized by Skelora Edu Tech.
- **Q**: What has been the experience of attendees at Skelora Edu Tech's events?
  - **A:** Attendees have given Skelora Edu Tech a rating of 5/5 based on reviews from early attendees on AllEvents. Skelora Edu Tech has a verified profile on AllEvents where you can read reviews and explore their upcoming events.
- **Q**: Who is this event for? Is it right for me?
  - **A:** Data Engineering Workshop 2 Days Training in Pasadena, CA is ideal for curious learners, students, and skill-builders looking to gain hands-on knowledge and practical expertise in a focused, interactive setting. Whether you're a first-time attendee or a longtime enthusiast in Pasadena, this event is thoughtfully curated to deliver a standout experience worth every moment. If Data Engineering Workshop 2 Days Training in Pasadena, CA sounds like your kind of event, don't wait - spots fill up fast.

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