
Technologies
There are many technologies for implementing Big Data and AI. With a preponderance of the open-source eco-system (around Apache Hadoop), the domain is very innovative. NoSQL databases (MongoDB, HBase, CouchDB or Redis for example), application architectures (Data Lake), cloud infrastructures, integration tools (Talend, Nifi...), tools and languages for data science and AI (Python, Scala, Knime, Dataiku...), data virtualization, in-memory...
Technologies are multiplying and choices can be bewildering. Discover the fundamentals of available technologies, and take advantage of our tutorials dedicated to Data tools and languages.
Replay | How to build the next generation Data Lake
How to build the next generation Data Lake? Technical Session
Technologies
Data technological fundamentals
Technologies
Technological solutions
Technologies
Data tutorials, tools and languages
Discover also:

Digitalization
Digitalization has created an increasing number of new uses and is contributing to innovation. Digital transformation has become a necessity for companies and organizations.
All items
Data & AI culture
Data is a major company asset. Mastering data collection, analysis and processing offers a major competitive advantage. Data is the main element to empower and drive AI.
All items
Data Science / AI
Data Science leverages data and uses the most advanced technologies and algorithms to create knowledge and drive predictions.
All items