Big Data: Technology Areas – Hexagonal Diagram

Slide Content

The PowerPoint slide presents a trifecta of technological areas related to Big Data, depicted as interconnected hexagons. At the center, there's "Big Data" itself, indicating its central role in this schema. The adjacent hexagon to the left is labeled "Cloud Apps & technology," which represents the infrastructure services and applications hosted on the internet. On the right, the hexagon reads "SaaS Software as a Service," highlighting software distribution models where applications are hosted by a service provider and made available over the internet.

Graphical Look

• The slide features three large hexagonal shapes arranged in a connecting pattern.
• The central hexagon is the largest and filled with a dark navy color, with the words "Big Data" in white bold font showcased in the center.
• The left hexagon is slightly smaller, colored in a bright blue, and contains the words "Cloud Apps & technology."
• The right hexagon is also smaller, matching the central hexagon in color, with the label "SaaS Software as a Service."
• Inside each hexagon is a white icon: a cloud for the Cloud hexagon and a monitor with a cloud for the SaaS hexagon.
• The background is white, which makes the blue and navy hexagons stand out.

The slide has a clean and modern design, with a clear focus on the interconnected aspects of Big Data, Cloud Computing, and SaaS. The use of hexagons conveys a sense of strength and interconnectedness, and the contrasting colors draw attention to each area individually yet also to their connection.

Use Cases

• To introduce the key components of a modern IT ecosystem during a business presentation.
• For training purposes, to explain the relationship between Cloud Computing, Big Data, and SaaS technologies to new employees.
• In a sales pitch to showcase a company's expertise in the various technological areas relevant to Big Data solutions.
• During strategic planning sessions, to visually represent how the integration of these technologies contributes to the overall data strategy of an organization.