Ten years after its beginnings, the Big Data market is in perpetual growth, with a rate of 12% recorded in 2019. When we talked about Big Data in its beginnings, we thought of the term under the technical and technological prism: the 3V (volume, speed and variety), how to technically process immense amounts of heterogeneous data in order to extract value, how to industrialize Big Data projects.

Today, the most important technological barriers have been overcome, although the durability of the tools adopted and the architectural choices remain essential prerequisites for processing the data. We can see that Big Data is no longer the prerogative of technological companies that are built around data (Uber, Netflix, etc.), but is now integrated into the strategy of all types of companies and in all sectors (industry, service, mass distribution, web, energy, banking, telecoms, etc.). On the business side, there is a real desire and a strong motivation to democratize access to data within the various services so that they can derive value from it: Big data no longer concerns only technical experts ( data scientists, data architects, CIOs, etc.), but also marketing managers, responsible for digital transformation, innovation, etc.

With 18,000 visitors and 250 conferences, Big Data Paris is representative of the European Big Data ecosystem. What types of actors does this ecosystem bring together?

This year we are effectively expecting 18,000 participants. To give you an idea, the first edition which took place in 2012 welcomed 700 participants. The event therefore grew with the Big Data ecosystem. Actors representing all the sectors affected by the data (banking, retail, web, tourism, industry, etc.) will be present. As mentioned above, the profiles are varied and range from the technical data expert to the jobs affected by the data: CDO, data scientists, BI manager, IT departments (DSI, IT manager), business departments, marketing, R&D and innovations.

Among the major trends that will emerge this year in the field of data are

  • Uses for everyone in transport, health, e-commerce, with native digital service providers like Uber, Airbnb or Blablacar.
  • Applications in marketing, finance, or logistics that would save user businesses according to Forrester, according to Forrester.
  • A greater reflection around the human, governance as mentioned above.
  • A reflection on the ethical aspects of data: Big Data today covers a societal reality, with all the debates around ethics, the quality of data, that the massive use of data has generated.
  • From a technological point of view the cloud has opted for container application models, Hadoop is increasingly questioned. Storage and treatment at the periphery are on the rise.
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