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Found 4 results

  1. Good quality data is the holy grail, and that’s what you should always aim for. But that saying goes incomplete without data models. While all of us know the importance of data, profits or sales turn in only when organizations know how to find, model, track and understand their data appropriately. Data modeling, being one […]View the full article
  2. Expectations for data are higher than ever and come from a broad array of end users. These best practices will help you deliver better data products.View the full article
  3. Dimensional data modeling is a way to structure data in a warehouse to mitigate data granularity loss and allow people to do data work in a performant way. View the full article
  4. Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning practitioners get started on training and deploying machine learning models quickly. These algorithms and models can be used for both supervised and unsupervised learning. They can process various types of input data including tabular, image, and text. View the full article
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