Building a Big Data Environment for a Large, International Manufacturer


A large manufacturer was developing models for their customers in a siloed way. Each team created their own models, infrastructure, data plumbing, etc. to achieve their local goal of building a product that solved a challenge their customers were facing. It became clear that many teams across the company were independently developing similar tools and skill sets without any sharing of information. Additionally, each team built an independent architecture and had to handle the pains of scaling their solution independently

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