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Description

Big Data in the Enterprise: Understanding the Stakes, Architectures and Use Cases

Understand what a Big Data architecture genuinely changes in the way data is organised

  • 0.43 days — 3 h
  • In-person or virtual
  • Intermediate
  • Up to 6 participants

Big Data projects rarely fail because of technology. They stall on data scattered across business applications, on volumes that legacy business intelligence tools absorb poorly, and on use cases framed too vaguely to be arbitrated. Organisations end up with a costly platform and little measurable value.

Two hours to place the building blocks of a data architecture within a coherent whole: ingestion, distributed storage, batch or stream processing, and delivery. The short format focuses on reading use cases and on the criteria that make it possible to decide what genuinely qualifies as Big Data.

Learning objectives

  • Distinguish a Big Data requirement from a conventional business intelligence requirement
  • Describe the building blocks of a distributed processing architecture
  • Compare batch processing and stream processing
  • Qualify a use case according to its value and feasibility
  • Identify key points of vigilance regarding data governance and data quality

What makes this programme different

A use case qualification grid ready to apply as soon as you return to work
A comparative reading of several architectures encountered in organisations
A shared vocabulary between technical teams and business teams

Programme

1What Big Data Actually Covers

Setting the reference points before the tools

  • Volume, velocity and variety and what these notions imply
  • Limitations of traditional data warehouses
  • Structured, semi-structured and unstructured data
  • The place of Big Data within the information system

2Reference Architectures

Following the data end to end

  • Ingestion and collection of data flows
  • Distributed storage and data lakes
  • Batch processing and stream processing
  • Delivery and making data available to business teams

3Use Cases and Conditions for Success

Choosing what deserves to be launched

  • Typology of use cases by business function
  • Value and feasibility criteria
  • Governance, quality and traceability of data
  • Skills and organisation to plan for

Who is it for

IT managers and data project leaders, together with business decision-makers involved in data value creation projects.

Prerequisites

A general understanding of how an information system and databases operate.

Dates & locations

12 scheduled dates between November 2026 and December 2027. Seats are confirmed in the order enquiries are received.

November 2026

December 2026

January 2027

February 2027

March 2027

April 2027

May 2027

June 2027

September 2027

October 2027

November 2027

December 2027

None of these dates suit you? We open additional sessions on request, and any programme can be run privately for your team.

Practical details

Before the programme
Online positioning questionnaire. Your development objectives are shared with the trainer, who tailors the practical case studies to your context.
Teaching methods
Theoretical input, workshops and practical case studies. Digital course materials and method sheets provided.
Assessment
Multiple-choice tests and role-play exercises. Assessment of learning at the start and end of the programme, with immediate and 60-day follow-up evaluations.
After the programme
One year of access to the e-learning platform. Self-assessment of the skills acquired and a 30-day follow-up session with your trainer.
How to register
Registration online or on the basis of a quotation.
Lead time
11 working days after confirmation of registration.
Accessibility
Accessible to people of determination. Contact our accessibility coordinator to design a suitable solution: contact@mpf-academy.ae
Start dates
Rolling intake: in addition to the scheduled sessions, this programme can start on request.