Big Idea 3 Flashcards
How are computers used when processing digital information to gain insight and knowledge?
Interactively and iteratively.
How can computers help process information?
By filtering and cleaning digital information. This can be done through the use of search tools.
What three things are apart of the process of using computers to process information?
Combining data sources, clustering data, and data classification.
What may emerge when data is transformed using computational tools?
Patterns.
What is a key component to solving data-driven problems and why?
Collaboration. It facilitates solving computational problems by applying multiple perspectives, experiences, and skill sets. Additionally, communication between participants working on data-driven problems gives rise to enhanced insights and knowledge.
What four ways does collaboration come in handy?
Developing hypothesis and questions and in testing hypotheses and answering questions.
What is another forms of collaboration?
Using online collaborative tools.
How can you represent information about data? Give three examples.
Throdugh the use of visualization tools and software such as diagrams, tables, and textual displays.
What is an effective way in communicating insight and knowledge gained from digitally represented information?
Summaries of data analyzed computationally.
Why is it important to transform information by making it more interactive?
It can be effective in communicating knowledge gained from data.
What do large data sets with the help of computing tools offer?
They provide opportunities and challenges for extracting information such as trends, connections between data, and solutions to problems.
What are search tools for?
Finding information.
What are information filtering systems important tools for?
Finding information and recognizing patterns in the information.
What are spreadsheets and databases and why they helpful?
They are software tools and they help efficiently organize and find trends in information.
What is metadata?
Data about data. Metadata can be descriptive data about an image, a web page, or other complex objects.
How is the use of metadata effective?
Metadata can increase the effective use of data or data sets by providing additional information about various aspects of data.
What kinds of things do large data sets contain?
Transactions, measurements, texts, sounds, images, and videos.
What is challenging about maintaining large data sets?
The storing, processing, curating, structuring, and maintaining privacy.
Why is scalability of systems an important consideration when data sets are large?
The size or scale of a system that stores data affects how the data set is used.
What changes as the size of data sets scale?
Analytical techniques to store, manage, transmit, and process data sets.
What trade-offs come along with digital data representation?
Issues related to storage, security, and privacy concerns.
What do security concerns cause?
Trade-offs in storing and transmitting information
What are the tradeoffs between using lossy and lossless compression techniques for storing and transmitting data?
Lossless data compression reduces the number of bits stored or transmitted but allows complete reconstruction of the original data. Lossy data compression can significantly reduce the number of bits stored or transmitted at the cost of being able to reconstruct illy an approximation of the original data.
What does the choice of storage media affect?
The methods and costs of manipulating the data it contains.
Does reading data and updating data have different storage requirements?
Yes.
