Various operational characteristics are

  • The platform is scalable and can grow – When designing an analytics platform you should future proof your investment by designing it with scalability in mind, at all tiers of the architecture. You have to assume that data volumes will increase, even if only through organic growth
  • Access to a variety of data sources – The types of data sources you need to consider may also increase – for example – structured data, unstructured data, image files and streaming data from the Internet of Things.
  • Support the analytical lifecycle through data, discovery and deployment – All the key phases of the analytical lifecycle beginning with the preparation of the data be available.
  • Different engines for processing data in different ways such as in-memory, in-database and real-time streaming.

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