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The future of cloud analytics is already here

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The exponentially growing amount of available data, together with the increasing complexity of analytical algorithms, is changing the requirements of data analysts for IT infrastructure. A powerful desktop or dedicated server has two basic disadvantages: the inability to be easily scalable and the long update cycle. Modern analytical platforms, such as SAS Viya, address these shortcomings by using modern container technology and developing a CI / CD approach. Thanks to these principles, SAS Viya supports the analytical process from start to finish, from raw data processing to the final decision based on advanced AI. At the same time, users can choose whether to choose to use a private cloud, or rather relieve themselves of the need to administer the hardware and use one of the extensive offer of public cloud services.

Ivan Kasanický

SAS Slovakia
Ivan Kasanický has obtained his doctoral degree in Probability and Mathematical Statistics from Charles University in Prague. During his career, he worked within the Czech Academy of Sciences where he modeled traffic flow, household energy consumption, and created prediction models for electricity produced from renewable sources. Also, he was one of the organizer of Modelling Smart Grids conference, which takes place in Prague every year. Later he joined a startup company in Austria as a Head of Data Science, and was developing models for new urban mobility, e.g., parking spots occupancies, or finding out how long would a car-sharing car wait for the next driver. Today, he is a Data Scientist at SAS company, where he is looking for ways …
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