TID-020/ Introduction to Big Data architecture

Build Smarter Infrastructure. Deliver Real Value. This 3-day intensive workshop teaches you how to design scalable data platforms and monetize them through APIs, services, and marketplaces. Learn to package your data into business-ready products — with billing, privacy, and licensing built in from day one.

Course Overview

Curriculum

INSTRUCTOR

FAQs

3-Day Intensive Course for Technical Professionals

3 Intense Days
7 Hours per Day (Split into two 3.5-hour sessions)

Learning Path Visual

Your hands-on journey from infrastructure to monetization:

Day 1: Architecting for Value — Data Value Chains & Infrastructure Setup
Map your data’s monetization potential and build the architecture to support it — from pipelines and APIs to governance frameworks.

Day 2: Engineering the Flow — Pipelines, Products & Insights
Design and implement pipelines that turn raw data into reusable assets. Create and expose data products using real tools and cloud infrastructure.

Day 3: Monetization Engines — APIs, Marketplaces & Security at Scale
Build and launch monetizable APIs, integrate billing and licensing controls, and distribute products across marketplaces with privacy and compliance by design.

Course Overview

Data is the new oil — but only if you can refine and monetize it. This workshop equips engineers, developers, and cloud architects with the technical and strategic skills to design scalable data architectures and turn them into revenue-generating platforms.

From backend infrastructure to API deployment, this course walks you through the entire lifecycle of data monetization using open-source and cloud-native tools.

You’ll learn how to:

Architect for value: design pipelines, APIs, and scalable infrastructure
Build and expose data products and services
Integrate monetization mechanisms: billing, licensing, usage tracking
Navigate privacy, compliance, and governance concerns
Deploy production-ready data services with modern DevOps patterns

This course bridges data engineering, API productization, and business model integration — giving you both the code and the context to drive value from data.

What’s Inside Each Day

Day 1 — Architecting for Value: Data Value Chains & Infrastructure Setup

Identify monetization-ready data across the organization
Map direct and indirect monetization strategies (internal, external, hybrid)
Set up infrastructure: Docker, Airflow, Spark clusters, cloud functions
Understand storage layers: Data lakes vs. warehouses (Delta Lake, BigQuery)
Implement data governance frameworks (GDPR, DMBOK)
Manage catalogs and metadata (Apache Atlas, OpenMetadata)

Tools: Apache Spark, Docker, Airflow, Delta Lake, BigQuery
Focus: Architecture • Infrastructure • Value Mapping

Day 2 — Engineering the Flow: Pipelines, Products & Insights

Design batch and real-time data pipelines (Kafka ➝ Spark ➝ BigQuery ➝ API)
Transform raw data into monetizable assets: enriched datasets, insights, ML features
Visualize and share: Kibana dashboards, Power BI tiles
Publish data products: FastAPI/Flask endpoints, API documentation
Package outputs for portability (Parquet, Arrow, JSON API)

Tools: Kafka, Spark, dbt, Power BI, Kibana, FastAPI
Focus: Pipelines • Productization • Delivery

Day 3 — Monetization Engines: APIs, Marketplaces & Security at Scale

Build and launch monetization-ready APIs (FastAPI + Swagger + billing)
Enable usage-based pricing, quotas, and access control (Stripe, OAuth2, JWT)
Integrate data marketplaces (Snowflake Marketplace, Dawex, Azure Data Share)
Enforce privacy, licensing, and IP policies (OpenPolicyAgent, GDPR tags)
Deploy full-stack services with observability, rate-limiting, and metering

Tools: FastAPI, Swagger, Stripe APIs, OAuth2, OpenPolicyAgent, Snowflake
Focus: Monetization • API Security • Licensing

Course Goals

By the end of this course, you’ll be able to:

Architect systems for scalable data monetization
Create and expose data products and APIs for internal or external use
Build pipelines that align with business value and reuse
Integrate billing, metering, and licensing into data services
Deploy compliant, secure, monetizable data workflows at scale
Understand and apply data governance frameworks across platforms

Who Should Take This Course?

Data engineers expanding into product and revenue-focused architecture
Backend developers building API-first services from data pipelines
Cloud architects implementing scalable, secure data platforms
DevOps professionals automating deployment of monetizable data workflows
ML engineers preparing data for external or multi-tenant delivery
CTOs and tech leads designing data business models

Class Reference: TID-020
Form Updated on: 06/16/2025 (Version 1)
Last Modified on: 06/16/2025

Program Note

This course is actively updated with new APIs, governance standards, and monetization frameworks to reflect the fast-moving data economy.

Requirements

Finish registration 2 weeks after contact
Access to a computer with internet and a working microphone
Basic Computer Literacy

Target Audiences

IT enthusiasts
Data engineers looking to evolve from pipelines to products
ML Engineers
Data analysts, business professionals, researchers, and anyone interested in Bid data architecture.

Features

Teaching Methods :
Theory: 40% Practical Work: Serious games, role-playing, simulations
Program Coordinator: Alexis André des Forges Instructor: Alexis André des Forges Contact Information Alexis André des Forges Email: linguistic.com@gmail.com
Format In-person via video conferencing (Visio) Customization options available Minimum: 1 session per week

Self-Assessment Quiz

Not sure if this course is right for you?

Take our *free pre-course quiz* to assess your current knowledge level and get personalized recommendations.

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Featured Review

✅ Featured Review
⭐⭐⭐⭐⭐ “Exactly what modern data teams need to stay competitive”
"This course helped us move from building pipelines to building data products that generate revenue. The architecture blueprints, the marketplace integration examples, and the hands-on API deployment were incredibly practical. It’s a perfect blend of engineering depth and business value. I walked away with deployable code and a new mindset."
— Anita M., Cloud Architect @ HealthTech AI

Categories: Diplome et Certifications, Management, MBA, Technologie numérique

€55.00 Per Hour

Course Features

3 lessons

0 quiz

21 hours

All levels

English / French

56 students

Yes

July 09, 2025