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.

Data technological fundamentals

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Data tutorials, tools and languages

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