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For enterprise organizations, managing and operationalizing increasingly complex data across the business has presented a significant challenge for staying competitive in analytic and data science driven markets. Enterprise DataEngineering From the Ground Up. Figure 1: Key component within CDP DataEngineering.
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You can easily access our free eBook here: . Offers building blocks for creating a solution to a data science problem; . Grants support for carrying out data and analytics tasks; . We want to highlight SAS’s cloud-ready architecture, making analytics more accessible to a broader range of users. .
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This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.
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