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Four Topics That Should Be Top of Mind for SAP Partners

Timo Elliott

I recently recorded a stream-of-consciousness video interview on the top topics that SAP Partners (and customers!) Here’s the recording and a transcript below: SAP Innovation Evangelist SAP on the top topics SAP Partners should be thinking about. The second big topic is one that everybody is interested in right now is AI.

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The Realities of Agile Transformation

Dataversity

The topic of agile transformation is emerging, either driven “bottom-up” from product leaders or “top-down” by C-level executives. Being primarily transformation of the business, it is a response to digital strategy, thus connected with a wide range of topics – including Data Governance and Enterprise Architecture.

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Analyst’s corner digest #18

Analysts Corner

But we also cover the topics of requirements gathering and asking the right questions, lessons learned from replacing a legacy solution (part 3!), This, accompanied with a list of data analysis tips will give you a nice range of topics to think about on a quiet afternoon. and a personal story of becoming a business analyst.

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Hybrid Vs. Multi-Cloud: 5 Key Comparisons in Kafka Architectures

Smart Data Collective

Ninety-four percent of enterprises invest in cloud infrastructures, due to the benefits it offers. But keep in mind one thing which is you have to either replicate the topics in your cloud cluster or you will have to develop a custom connector to read and copy back and forth from the cloud to the application.

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Network Security Certifications to Combat Growing Data Breach Threats

Smart Data Collective

To build a better infrastructure where enterprises face fewer threats and can better protect themselves from cybercriminals trying to steal their data, organizations must be constantly on the lookout for qualified individuals to join their teams. This is one of the most important lines of defense against data breaches.

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5 Reasons No-Code Platforms Are the Future of Data Science and AI

Smart Data Collective

There is a significant shift in tools, processes, and skills being used in the enterprise. As a result, low-code/no-code next-gen technologies are starting to reach the enterprise. As enterprises increasingly look to outsource or bring in third-party providers, they are starting to embrace low-code/no-code tools.

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The Semantic Layer Goes Mainstream

Dataversity

The semantic layer concept within the data stack is not new but is an increasingly popular topic of conversation. I predict that in 2022, we’ll see mainstream awareness of the semantic layer, especially as enterprises begin to see real-world examples of its benefits.