Technologies

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.

Technologies

Data technological fundamentals

All items

Technologies

Technological solutions

All items

Technologies

Data tutorials, tools and languages

All items

Discover also:

Data Science / AI

Data Science / AI

Data Science leverages data and uses the most advanced technologies and algorithms to create knowledge and drive predictions.
All items
Digitalization

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 Marketing

Data Marketing

Data Marketing is the analysis and use of data to carry out effective and personalized marketing actions, through optimal targeting of prospects and customers.
All items