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Databases and big data

الأسبوع 11 · الدرس ٨ «تصميم قواعد البيانات» (١): مفهوم قاعدة البيانات وأهميتها ومزاياها والبيانات الضخمة · 3 دروس
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Big data: when data outgrows the usual tools

ICT Prep 1 Term 1, Lesson 8: pp. 75–77
GoalExplain big data, name the three kinds of data and say why data keeps growing.
New words
big data · data so big, varied and fast-growing that usual tools cannot store, process and analyse itstructured data · data in tidy rows and columns, such as a table of marksunstructured data · data with no fixed shape, such as pictures, voice recordings or free textsemi-structured data · data with some labels or order but not tidy rows, such as an e-mail
Explanation

Big data means very large collections of data that are also varied and keep growing very fast. They are so big and complex, in size, in speed of growth and in variety, that the usual data management systems cannot store, process and analyse them. Data comes in three kinds. Structured data is tidy, like a table of marks. Unstructured data has no fixed shape, like pictures, voice recordings and free text. Semi-structured data lies in between: an e-mail has labels such as “To” and “Subject”, but its body is free text. Data grows quickly because digital technology develops quickly. Artificial intelligence uses and produces a lot of data. The internet of things, called IoT, means everyday objects connected to the internet that send data all the time, such as sensors. As data keeps growing, new big-data tools appear that help organisations to collect, process and analyse it fast enough to benefit from it. We give no size numbers, because the idea matters, not the figure.

Kind of dataShapeExample
Structuredtidy rows and columnsa table of marks
Semi-structuredsome labels, free text insidean e-mail with To and Subject
Unstructuredno fixed shapephotos or voice recordings
Worked examples
Class listA whole city’s data
Sizesmallvery large
Varietynames onlypictures, messages, readings
Growthslowevery second
A class list has 30 names and fits one page. All the pictures, messages and sensor readings of a whole city, every second, are not like this. A single notebook cannot hold them, and the usual tools are too slow. This is why big data needs new tools.
In a smart city, sensors on streets and lamps send readings all day and night. These connected objects are the internet of things. The readings join many other kinds of data and grow quickly. New tools collect, process and analyse them fast.
A table of marksB voice recordingC e-mail
Sort these: (A) a table of marks, (B) a recording of a voice, (C) an e-mail with To and Subject. A is structured, B is unstructured, and C is semi-structured because it has labels and free text.
Class activity

Collect six things from your day: for example a timetable, a photo, a voice message, a list of marks, a drawing, an e-mail. Draw three boxes titled structured, semi-structured and unstructured. Put each thing in a box. Do not use real names or private items; invent them if needed.

Practice
1
What is big data?
2
Name the three kinds of data.
3
Which kind of data is a photo?
4
Name one reason why data keeps growing so fast.