From chaos to order – data-driven value with data mesh

According to an IDC study, we will have around 175 zettabytes of data in 2025 – 175 with 21 zeros. Companies have long recognised the potential of this incredible amount of data: "99 percent of them want to become data-driven, i.e. be able to make data-driven decisions," says Jürgen Wirtgen, GTM Lead Analytics & Big Data at AWS in the DACH region. "But only 24 per cent are actually able to do so."

According to Wirtgen, there are several reasons for this: A lack of communication between data producer and data consumer. A lack of trust in the data because one does not know where it comes from. Or unresolved governance and compliance issues. But above all: the failure to see data as a product.

"In the past, data was collected and saved somewhere in a huge data lake. The focus was on storage," says Wirtgen. However, in order to be able to use it in a targeted way, a modern company has to treat data as a product. In his "Sparx" talk, Wirtgen explains what this entails and what role a data mesh plays in the process.

JÜRGEN WIRTGEN

Be it Oracle, Microsoft or Amazon Web Services – Jürgen Wirtgen (*1970) has already worked for many tech giants. He has been at AWS for two years and is now responsible for the business development of analytics and big data workloads in the DACH region. Besides data, he is also interested in quantum teleportation and science communication.

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BEST PRACTICES AWS: data mesh – principles, benefit and implementation