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

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Technologies

Technological solutions

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Technologies

Data tutorials, tools and languages

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Data & AI culture

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.
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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.
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Data protection

Data protection

Data Protection has become a vital issue for companies in just a few years. Data is a strong source of growth and must be protected.
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