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Big data technology analytics database server icons
from deck Creative Big Data Diagrams (PPT Template)

Technology Infrastructure of Big Data

Slide Content

The slide illustrates the core components that comprise the Technology Infrastructure of Big Data. There is a central concept, "Big Data," connected to two broad categories: 'Software' and 'Hardware.' Each category has a respective list expanding on the types of software and hardware utilized. For software, 'Data Analytics & Visualizations, BI' includes tools like Qlikview, Tableau, SAS, and GoodData. In terms of databases, examples given are Oracle, IBM, and Cloudera. The hardware side lists 'Technologies' such as Hadoop, MapReduce, NoSQL, and Apache HBase, indicating the variety of technologies used to handle big data processing and storage.

Graphical Look

  • The slide background is plain white, maintaining a clean and professional appearance.
  • The title is at the top in bold black font, making it immediately noticeable.
  • A large orange cylinder labeled "Big Data" serves as the central image, representing a database or data storage.
  • Two blue arrows emerge from the central image, pointing to the left and right towards two rectangular gray boxes labeled 'Software' and 'Hardware,' symbolizing the flow from the central big data concept to its two components.
  • Underneath the 'Software' and 'Hardware' boxes are detailed lists in smaller text, providing examples of specific products or technologies related to each category.
  • There are simple, recognizable icons next to the 'Software' and 'Hardware' text— a laptop and server racks, respectively, visually identifying the categories.

The slide uses a clear, straightforward layout with a central focal point and associated categories branching off. The use of icons and arrangement provides an easy-to-follow visual representation of the relationship between Big Data and its underlying technology infrastructure.

Use Cases

  • Presenting the basic framework of big data systems in educational or training settings.
  • Discussing technological requirements for big data processing during IT infrastructure planning meetings.
  • Explaining the components of a big data strategy in a business proposal or investment pitch.
  • Providing an overview of big data technologies to non-technical stakeholders to facilitate understanding of resource allocation and capabilities.

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