Banque de France

public sector

Build a multidisciplinary granular data space (Datalake)

Project management
Banque de France

Background & Issues

The Banque de France wants to build a multidisciplinary granular data space (Datalake), offering a flexible and innovative service to internal users.

Faced with the prospect of massive, granular data, statistical processing must be adapted

Roadmap  :


  • Phase 1 of development of the DataLake base in agile method, 3-week sprints
  • Development of the first ANACREDIT, BASTID and DATAGAPS client projects in plateau mode at the Banque de France


  • Production of the DataLake technical base
  • Phase 2 of development of the DataLake base and production of customer projects :
    • DATAGAPS (T1)
    • ANACREDIT (T3)
Banque de France

Solutions provided and Actions

Build a DataLake to store large volumes of data from multiple sources and in various formats


  • Supporting the evolution of user uses
  • Offering agile and innovative services to customers
  • Collect and analyze a large amount of data
  • Provide modern reporting tools to BDF agents
  • Simplify data sharing
  • Increase data analysis capabilities and thus the quality of work
  • Contribute to the digital transformation of the Bank of France

ANACREDIT : monthly collection of 94 attributes for 21 million credit lines

Baptiste G.

The expert's point of view

Technical expertise is an essential element in supporting customers towards their digital transition.

Baptiste G.

OAIO Consultant
Banque de France

Methods & Technical Environment

Technical architecture

  • Hadoop
    • HDFS, Hive, Hbase
    • Spark
    • Oozie
    • Atlas
    • Ranger, Knox
  • ElasticSearch, Kibana
  • WildFly
  • PostgreSQL
  • Java, R
  • Gitlab, Jenkins
Banque de France

Team & Volume

An agile team

  • 1 Project Manager
  • 1 Project Manager / Scrum Master
  • 3 Technical Lead
  • 4 core developers
  • 5 ANACREDIT developers
  • 1 DATAGAPS developer
  • 3 BASTID developer
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