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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Data has changed decision-making patterns and removed barriers in data analysis. Today, it appears as a logical continuation and natural evolution of the digital revolution, and contributes to the implementation of new processes, habits and uses.The technological ecosystem of Big Data is very rich and is in constant turmoil. Our experts will decrypt for you the technological fundamentals of Data.

Technologies

Technological solutions

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The advent of the value of data has profoundly transformed uses in most areas, leading to a very rapid evolution of technological solutions in the sector. This growth is driven by the technological solutions in the Big Data universe.Which technologies meet the challenges of your project? Data Mapping, Advanced Analytics, DataViz, discover an overview of the different technological solutions available and their applications.

Technologies

Data tutorials, tools and languages

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How to develop and properly exploit the functionalities of Data tools and languages?Querying, indexing, aggregating, updating, analyzing, etc. Our experts provide you with a concrete approach to the possibilities of applying and deploying the main Data tools and languages, through a series of tutorials.

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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.
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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 Science / AI

Data Science / AI

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