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Data stream

As explained in Data for All

A data stream is a continuous or successive flow of data generated by activities, observations, devices, or systems.

What data did you create on your last trip? Texts, photos, card payments, ticket scans, and location records may feel like separate events. Together, they form data streams: successive flows of information generated as people and systems go about their activities. section 8.2.2 section 8.3

A trip that keeps generating data

A restaurant visit can add photos, payment and tip records, and dining preferences. A hotel stay can add check-in times and loyalty points. The next day, a stadium ticket scan and phone location can place a visitor at a particular event and seating section. No single action tells the whole story; the stream grows across the day. section 8.2.2

Roads and cars add newer streams alongside familiar ones. Vehicle-to-vehicle communication can exchange speed, location, and heading. Vehicle-to-infrastructure communication can exchange information between cars and road features such as signs or traffic lights. These exchanges are being developed for safety and mobility, while electric vehicles can send detailed operational data to manufacturers. section 8.2.3 section 8.3

The practical question is not only how much data is created, but who can see and combine it. A location stream might be available to an app, an employer, or another organization. When a service asks to track you, consider what it can learn from repeated observations—not just from one moment. section 2.4.1 section 8.2.2

How Data for All covers it

How deep it goes
Illustrates data streams through scenarios and named exchanges without explaining storage or processing internals.
Examples
Uses restaurant payments, hotel records, ticket scans, phone locations, and connected-car messages as concrete cases.
What it assumes
Assumes familiarity with phones, travel, and payments while introducing data streams through those everyday activities.
What you can do after
Evaluate/understand how repeated everyday actions create records that organizations may observe or share.
How it connects
Connects data streams to location tracking, vehicle-to-vehicle communication, vehicle-to-infrastructure communication, and electric-vehicle operational data.

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This explainer was generated by Manning's knowledge graph from the text of Data for All. The section links point to the parts of the book it draws on.