Big Data Analysis and Decision Intelligence Course

Name: Big Data Analysis and Decision Intelligence Training Course
Availability: InStock

Connect distributed architecture, batch and streaming pipelines, scalable analysis, governance, and visualization to decision evidence.

Big Data Analysis and Decision Intelligence Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Geneva, London, Trabzon, Vienna, Toronto, Abu Dhabi and more
Next session: 18 – 22 October 2026, Geneva
Average fee: 5,800 €

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Big Data Analysis and Decision Intelligence Training Course

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Overview

Big Data Analysis and Decision Intelligence Training Course is a five-day intermediate course for data analysts, business intelligence functions, data engineers, transformation teams, and decision-support specialists who leave with a Big Data Analysis and Decision Evidence Pack. Participants connect big data characteristics, distributed data processing, batch analytics, streaming analytics, data pipelines, scalable queries, data quality, visualization, and big data governance. Agile Leaders Training Center develops practical big data analysis capability.

Who Should Attend

Data analysis functions responsible for large-scale preparation and analytical evidence
Business intelligence functions responsible for scalable queries and decision reporting
Data engineering functions responsible for distributed pipelines and processing patterns
Digital transformation functions responsible for analytical use cases and platform choices
Decision-support functions responsible for interpreting and communicating large-data insights

The course assumes participants can query structured data, interpret descriptive analytics, and follow data-flow logic, and leaves out introductory programming, infrastructure administration, platform certification, and production system deployment.

Departments and Industries

The course supports departments and industries that analyze high-volume, high-velocity, or varied data.

Financial services data and risk analytics
Retail and digital customer analytics
Manufacturing and sensor-data operations
Telecommunications network analytics
Healthcare service data analysis
Public-service digital transformation

Learning Objectives

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

Analyze big data characteristics and analytical use cases
Compare distributed storage and processing patterns
Build batch and streaming pipeline designs
Apply scalable preparation and query methods
Evaluate data quality, governance, and processing risks
Build visual decision evidence from large datasets

Course Agenda

Day 1: Frame Big Data Analysis

Big Data Characteristics and Use Case Canvas
NIST Big Data Reference Architecture Stakeholder Map
Distributed Storage and Compute Pattern Matrix
Analytical Workload and Latency Profile
Decision Question and Evidence Definition Sheet

Day 2: Design Data Pipelines

Source-to-Consumption Data Flow Map
Batch Ingestion and Transformation Pipeline
Streaming Event and Processing Pipeline
Schema and Metadata Definition Register
Data Lake Zone and Lifecycle Model

Day 3: Perform Scalable Analysis

Distributed Partitioning and Parallel Processing Plan
Spark SQL Scalable Query Pattern
Spark Structured Streaming Analysis Pattern
Kafka Streams Transformation and Aggregation Pattern
Analytical Result Validation Checklist

Day 4: Govern and Communicate Evidence

Big Data Quality Dimension Scorecard
Lineage and Processing Traceability Map
Security and Privacy Risk Register
Large-Scale Visualization Selection Matrix
Decision Insight and Limitation Brief

Day 5: Practice Big Data Decisions

Exercise: Classify a Big Data Use Case and Architecture
Exercise: Design Batch and Streaming Data Pipelines
Exercise: Select Scalable Query and Processing Patterns
Exercise: Validate Quality, Governance, and Visual Evidence
Capstone: Big Data Analysis and Decision Evidence Pack

Practical Exercises

The course uses suggested activities based on financial transactions, retail journeys, industrial sensors, and service operations.

Suggested activity: classify volume, velocity, variety, processing, and decision requirements for a selected use case.
Suggested activity: map batch and streaming data from source through transformation, analysis, and consumption.
Suggested activity: compare distributed query and stream-processing patterns for latency, state, and validation needs.
Suggested activity: assemble quality, lineage, risk, visualization, and decision limitations in the final evidence pack.

FAQs

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

Data analysis, business intelligence, data engineering, transformation, and decision-support functions suit the course; it assumes structured-query experience, descriptive analytics, and data-flow literacy.

How does big data analysis differ from general data analytics training?

Big data analysis emphasizes distributed storage, parallel processing, batch and streaming pipelines, scalable queries, and governance challenges that arise when traditional single-system approaches are insufficient.

When should big data analysis use batch or streaming processing?

Batch processing suits bounded data and scheduled analysis, while streaming processing suits continuously arriving events and decisions that require lower latency or ongoing state.

How do Spark and Kafka support big data analysis?

Spark supports distributed queries, transformations, and structured streaming analysis, while Kafka supports event transport and stream-processing patterns; the course uses them as examples rather than product-certification subjects.

How is big data decision evidence validated?

Big data decision evidence is validated through schema controls, quality checks, lineage, processing tests, analytical reconciliation, visual review, risk documentation, and explicit interpretation limits.

Conclusion

Participants take back a Big Data Analysis and Decision Evidence Pack linking use cases, architecture, pipelines, scalable queries, streaming patterns, quality, governance, visualization, and interpretation. It changes disconnected large-data activities into a traceable analysis workflow. The pack supports coordinated decisions across analysis, engineering, business intelligence, transformation, and operational functions.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-74 of 74 events

Location	Dates	Duration	Mode	Price
Paris	Week 35, 2027 30 August – 3 September 2027	5 Days	Onsite	€5,700
Abu Dhabi	Week 35, 2027 30 August – 3 September 2027	5 Days	Onsite	€4,700
Casablanca	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€4,100
Madrid	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€5,700
Bangkok	Week 36, 2027 12 – 16 September 2027	5 Days	Onsite	€6,000
Dubai	Week 37, 2027 13 – 17 September 2027	5 Days	Onsite	€4,500
Bali	Week 37, 2027 19 – 23 September 2027	5 Days	Onsite	€5,700
Barcelona	Week 39, 2027 27 September – 1 October 2027	5 Days	Onsite	€5,700
Berlin	Week 39, 2027 27 September – 1 October 2027	5 Days	Onsite	€5,700
Amsterdam	Week 40, 2027 4 – 8 October 2027	5 Days	Onsite	€5,700
Muscat	Week 40, 2027 10 – 14 October 2027	5 Days	Onsite	€5,700
Cairo	Week 41, 2027 11 – 15 October 2027	5 Days	Onsite	€4,100
Lisbon	Week 41, 2027 11 – 15 October 2027	5 Days	Onsite	€5,700
Zanzibar	Week 41, 2027 17 – 21 October 2027	5 Days	Onsite	€5,500

Frequently asked questions

What does this course cover?

OverviewBig Data Analysis and Decision Intelligence Training Course is a five-day intermediate course for data analysts, business intelligence functions, data engineers, transformation teams, and decision-support specialists who leave with a Big Data Analysis and Decision Evidence Pack. Participants connect big data characteristics, distributed data proce…

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 Analysis and Decision Intelligence Course