Big Data Technology Trends and Roadmap Course

Name: Big Data Technology Trends and Roadmap Decisions Training Course
Availability: InStock

Assess platform trends, architecture patterns, processing models, data products, maturity, risk, and modernization roadmap choices.

Big Data Technology Trends and Roadmap Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Casablanca, Sharm El-Sheikh, Toronto, Munich, London, Kuwait and more
Next session: 12 – 16 October 2026, Casablanca
Average fee: 5,800 €

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Big Data Technology Trends and Roadmap Decisions Training Course

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Overview

Big Data Technology Trends and Roadmap Decisions Training Course is a five-day managerial course for technology leaders, enterprise architects, data leaders, transformation teams, innovation functions, and strategic decision makers who leave with a Big Data Technology Trends Assessment and Roadmap Pack. Participants connect modernization, distributed architecture, cloud-native data platforms, batch and streaming, lakehouse patterns, data products, interoperability, metadata, analytical AI, platform maturity, adoption risk, technical debt, and technology roadmaps. Agile Leaders Training Center develops practical big data technology assessment capability.

Who Should Attend

Technology leadership functions responsible for platform direction and modernization investment
Enterprise architecture functions responsible for principles, interoperability, and option evaluation
Data leadership functions responsible for platform capability, governance, and analytical value
Transformation teams responsible for adoption, dependencies, and roadmap delivery
Innovation functions responsible for testing emerging patterns and evidence
Strategic decision makers responsible for risk, investment, and technology sequencing

The course assumes participants can interpret architecture diagrams, platform capabilities, investment choices, and adoption risks, and leaves out coding, product administration, detailed solution design, vendor selection procurement, and certification preparation.

Departments and Industries

The course supports departments and industries evaluating data-platform modernization and analytical technology choices.

Financial services technology strategy
Retail and digital commerce platforms
Manufacturing and industrial data systems
Telecommunications data architecture
Healthcare information platforms
Public-service digital modernization

Learning Objectives

By the end of this course, participants will be able to:

Analyze big-data technology trends and adoption drivers
Compare distributed, cloud-native, batch, and streaming patterns
Evaluate lakehouse, data-product, and analytical AI options
Assess interoperability, governance, security, and trust implications
Diagnose platform maturity, technical debt, and adoption risk
Build evidence-based technology-roadmap decisions

Course Agenda

Day 1: Read the Technology Landscape

NIST Big Data Adoption and Modernization Map
Technology Trend Evidence and Horizon Scan
Distributed Architecture Evolution Matrix
Cloud-Native Data Platform Capability Map
Business Driver and Technology Implication Canvas

Day 2: Compare Processing and Storage Patterns

Batch and Streaming Workload Decision Matrix
Spark Structured Streaming Capability Profile
Kafka Stream and Table Processing Pattern
Data Lake and Lakehouse Architecture Comparison
Open Format, Portability, and Lock-In Assessment

Day 3: Evaluate Data Products and Analytics

Data Product Ownership and Interface Model
Metadata, Catalogue, and Lineage Service Map
Analytical AI Integration Pattern Matrix
Reusable Data Service and Interoperability Canvas
Insight Latency and Decision Value Profile

Day 4: Decide Modernization Priorities

Platform Maturity and Capability Assessment
Technical Debt and Modernization Risk Register
Security, Privacy, Governance, and Trust Checklist
Technology Option Value and Tradeoff Scorecard
Adoption Readiness and Dependency Map

Day 5: Practice Technology Roadmap Decisions

Exercise: Assess a Big Data Technology Trend
Exercise: Compare Architecture and Processing Options
Exercise: Evaluate Data Product and Analytical AI Patterns
Exercise: Prioritize Modernization Risks and Adoption Waves
Capstone: Big Data Technology Trends Assessment and Roadmap Pack

Practical Exercises

The course uses suggested activities based on financial services, retail, industrial, telecommunications, healthcare, and public-service platform scenarios.

Suggested activity: separate observable technology evidence from vendor claims and speculative forecasts.
Suggested activity: compare batch, streaming, storage, interoperability, portability, and trust implications for a selected workload.
Suggested activity: assess data-product, metadata, lineage, and analytical AI options against decision value.
Suggested activity: assemble maturity, technical debt, risks, options, dependencies, and waves in the final roadmap pack.

FAQs

Who suits big data technology trends training, and what does it assume?

Technology, architecture, data, transformation, innovation, and strategic decision functions suit the course; it assumes familiarity with architecture, platform capabilities, investments, and adoption risks.

How does big data technology trends training differ from platform administration training?

Big data technology trends training evaluates patterns, capabilities, tradeoffs, maturity, risk, and roadmap choices, while platform administration training teaches configuration, operation, troubleshooting, and product-specific procedures.

How should leaders assess a big data technology trend?

Leaders should assess evidence, problem fit, maturity, interoperability, portability, security, governance, skills, technical debt, adoption dependencies, option value, and measurable decision benefit.

What is the strategic difference between batch and streaming data platforms?

Batch platforms optimize bounded scheduled processing, while streaming platforms process continuing events with lower latency and state; the choice follows workload, reliability, cost, skill, and decision-timing requirements.

How should a big data technology roadmap handle uncertainty?

A technology roadmap should use staged experiments, architecture principles, exit criteria, reversible options, dependency tracking, risk controls, evidence reviews, and decision gates instead of treating trend forecasts as commitments.

Conclusion

Participants take back a Big Data Technology Trends Assessment and Roadmap Pack linking evidence, architectures, processing patterns, storage, data products, analytics, interoperability, maturity, debt, risk, options, and adoption waves. It changes trend watching into a disciplined decision workflow. The pack supports modernization choices that remain traceable to business needs and technical evidence.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Location	Dates	Duration	Mode	Price
Kuala Lumpur	Week 03, 2027 18 – 22 January 2027	5 Days	Onsite	€5,200
Dubai	Week 04, 2027 25 – 29 January 2027	5 Days	Onsite	€4,500
Athens	Week 04, 2027 25 – 29 January 2027	5 Days	Onsite	€6,700
Amsterdam	Week 05, 2027 1 – 5 February 2027	5 Days	Onsite	€5,700
Tbilisi	Week 06, 2027 8 – 12 February 2027	5 Days	Onsite	€5,000
Istanbul	Week 07, 2027 15 – 19 February 2027	5 Days	Onsite	€4,500
Barcelona	Week 08, 2027 22 – 26 February 2027	5 Days	Onsite	€5,700
Zoom	Week 09, 2027 1 – 5 March 2027	5 Days	Online	€1,500
Singapore	Week 09, 2027 1 – 5 March 2027	5 Days	Onsite	€5,700
Paris	Week 10, 2027 8 – 12 March 2027	5 Days	Onsite	€5,700
Amman	Week 10, 2027 14 – 18 March 2027	5 Days	Onsite	€4,100
Dubai	Week 12, 2027 22 – 26 March 2027	5 Days	Onsite	€4,500
Rome	Week 13, 2027 29 March – 2 April 2027	5 Days	Onsite	€5,700
Nice	Week 13, 2027 29 March – 2 April 2027	5 Days	Onsite	€5,700
Kuala Lumpur	Week 14, 2027 5 – 9 April 2027	5 Days	Onsite	€5,200
Marbella	Week 14, 2027 11 – 15 April 2027	5 Days	Onsite	€5,700
San Diego	Week 15, 2027 12 – 16 April 2027	5 Days	Onsite	€14,000
Vienna	Week 16, 2027 19 – 23 April 2027	5 Days	Onsite	€5,700
Jakarta	Week 17, 2027 26 – 30 April 2027	5 Days	Onsite	€5,700
New York	Week 17, 2027 26 – 30 April 2027	5 Days	Onsite	€12,000

Frequently asked questions

What does this course cover?

OverviewBig Data Technology Trends and Roadmap Decisions Training Course is a five-day managerial course for technology leaders, enterprise architects, data leaders, transformation teams, innovation functions, and strategic decision makers who leave with a Big Data Technology Trends Assessment and Roadmap Pack. Participants connect modernization, distribu…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Big Data Technology Trends and Roadmap Course