Cloud computing offers the possibility of keeping the investments low, while nonetheless being able to upscale quickly and flexibly.
Big data and cloud computing are inextricably interconnected. Big data analytics requires ever larger investments in ever newer IT infrastructure in order to be able to make truly valuable findings. Cloud computing on the other side offers the possibility of keeping the investments low, while nonetheless being able to upscale quickly and flexibly.
So, cloud computing represents a quite simple entry into the world of big data, by supporting the analysis of large data volumes in many ways. This enables companies to remain sustainably competitive and even open up entirely new markets for the products.
We keep a very close eye on the trends and developments in cloud and big data. Whenever it comes to data management projects we are looking for the best possible solution and consider all data-related technologies.
The increasing use of cloud services confronts many companies with the challenge of integrating these services neatly and reliably into their business concept. In order to meet these demands on a reliable cloud service, many manufacturers today offer integration platform as a service products (iPaaS).
iPaaS offers the opportunity to prepare and provide integrations within the cloud, and between clouds or companies. This concept offers the users the possibility of developing integration flows for applications and joining them together, irrespective of whether the applications are in the cloud or on-premise, without having to install, configure or manage the underlying hardware and middleware.
Alongside the platform itself, iPaaS generally comprises tools and technologies that make it possible to develop and execute the integration flows, to assume the life-cycle management of integrations, and to make available the related governance functions.
Striped Giraffe keeps a close eye on this still young technology every day and advises you on all aspects of cloud integration.
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