Podcast
Questions and Answers
What is the retention period for admission records according to the University's Records Retention Schedule?
What is the retention period for admission records according to the University's Records Retention Schedule?
- 5 years
- Permanent
- 10 years (correct)
- 4 years
Which of the following records has a permanent retention requirement?
Which of the following records has a permanent retention requirement?
- Grade records (correct)
- Financial aid records
- Career planning and placement records
- Class schedules
How long should disciplinary action records be retained after graduation?
How long should disciplinary action records be retained after graduation?
- 10 years
- 5 years (correct)
- 4 years
- 1 year
What must be considered when selecting a storage medium for student records?
What must be considered when selecting a storage medium for student records?
For how many years should student academic files be retained according to the retention schedule?
For how many years should student academic files be retained according to the retention schedule?
What is the retention period for transcript requests?
What is the retention period for transcript requests?
Which record must be transferred to the University Archives and Records Center after 2 years and retained permanently?
Which record must be transferred to the University Archives and Records Center after 2 years and retained permanently?
What role does a Student Information System (SIS) serve in educational settings?
What role does a Student Information System (SIS) serve in educational settings?
Which of the following statements accurately describes the key difference between Bill Inman's and Ralph Kimball's approaches to data warehousing?
Which of the following statements accurately describes the key difference between Bill Inman's and Ralph Kimball's approaches to data warehousing?
What is the primary reason for using a data lake instead of a data warehouse for big data?
What is the primary reason for using a data lake instead of a data warehouse for big data?
Which of the following is NOT a characteristic of a data warehouse as defined by Bill Inman?
Which of the following is NOT a characteristic of a data warehouse as defined by Bill Inman?
What is the key advantage of using a data mart over a data warehouse?
What is the key advantage of using a data mart over a data warehouse?
Which of the following best describes the concept of a data lakehouse?
Which of the following best describes the concept of a data lakehouse?
What is the main purpose of a data hub in the context of data warehousing and data lakes?
What is the main purpose of a data hub in the context of data warehousing and data lakes?
Which of the following statements accurately describes the relationship between data warehouses, data marts, and data lakes?
Which of the following statements accurately describes the relationship between data warehouses, data marts, and data lakes?
Why is it important to consider data retention schedules when managing data warehouses, data marts, and data lakes?
Why is it important to consider data retention schedules when managing data warehouses, data marts, and data lakes?
What is a key advantage of structured data compared to unstructured data?
What is a key advantage of structured data compared to unstructured data?
Which of the following is considered unstructured data?
Which of the following is considered unstructured data?
Which type of database is primarily characterized by storing data in tables?
Which type of database is primarily characterized by storing data in tables?
What is the primary language used to manipulate relational databases?
What is the primary language used to manipulate relational databases?
What is typically used to establish relationships between tables in a relational database?
What is typically used to establish relationships between tables in a relational database?
What type of data is considered semi-structured?
What type of data is considered semi-structured?
What is a primary key in a relational database responsible for?
What is a primary key in a relational database responsible for?
What challenges does unstructured data present to organizations?
What challenges does unstructured data present to organizations?
What does metadata provide in the context of structured data?
What does metadata provide in the context of structured data?
Why might schools choose to maintain records in both electronic and physical forms?
Why might schools choose to maintain records in both electronic and physical forms?
Which BI tool was used by Whole Foods to improve decision making?
Which BI tool was used by Whole Foods to improve decision making?
What type of database does NOT use structured tables for storage?
What type of database does NOT use structured tables for storage?
What is a disadvantage of unstructured data compared to structured data?
What is a disadvantage of unstructured data compared to structured data?
How does Cocoa-Cola utilize data from social media in their BI strategy?
How does Cocoa-Cola utilize data from social media in their BI strategy?
In what form are reports and visualizations of data often produced?
In what form are reports and visualizations of data often produced?
What is a significant drawback of using non-relational databases?
What is a significant drawback of using non-relational databases?
Which aspect of data presentation allows for easy understanding of statistical distributions?
Which aspect of data presentation allows for easy understanding of statistical distributions?
Which process can be combined with BI tools for better data analysis in large datasets?
Which process can be combined with BI tools for better data analysis in large datasets?
What role do records managers play concerning unstructured data?
What role do records managers play concerning unstructured data?
What percentage of new enterprise data is estimated to be unstructured data?
What percentage of new enterprise data is estimated to be unstructured data?
What distinguishes semi-structured data from unstructured data?
What distinguishes semi-structured data from unstructured data?
How does XML enhance the functionality of HTML documents?
How does XML enhance the functionality of HTML documents?
Which of the following is NOT considered a characteristic of big data?
Which of the following is NOT considered a characteristic of big data?
What is a primary challenge presented by the property of 'variety' in big data?
What is a primary challenge presented by the property of 'variety' in big data?
Which technology is primarily used for tracking products in large organizations?
Which technology is primarily used for tracking products in large organizations?
What is the primary advantage of integrating big data techniques into existing architecture?
What is the primary advantage of integrating big data techniques into existing architecture?
What role does an Enterprise Integration Platform as a Service (iPaaS) play?
What role does an Enterprise Integration Platform as a Service (iPaaS) play?
What is a common application of cloud technologies in the context of big data?
What is a common application of cloud technologies in the context of big data?
Which of the following aspects does NOT typically apply to semi-structured data?
Which of the following aspects does NOT typically apply to semi-structured data?
Why is HTML insufficient for querying web content?
Why is HTML insufficient for querying web content?
Study Notes
Active Storage Systems
- Student information is stored in a student information system (SIS) or student records system (SRS) that allows immediate access and enables various functions such as admitting, advising, and registering students, recording grades, and storing student records.
- The system can be accessed by multiple users simultaneously, with rules created to allow access based on roles and responsibilities.
- Retention requirements must be considered when selecting a storage medium, with different retention periods for various types of records (e.g., admission records: 10 years, grade records: permanent).
Structured, Unstructured, and Semi-structured Data
- Structured data refers to data that is highly organized, easily searchable, and easily mined, such as database data.
- Examples of structured data include Nutrition Facts labels on product packaging and database records.
- Unstructured data accounts for 90% of new enterprise data, has no well-defined model or schema, and includes forms such as emails, social media posts, and images.
- Semi-structured data has some level of organization, but does not conform to a formal structure, such as HTML and XML documents.
Relational Database Management Systems (RDBMS)
- RDBMS store data in collections of tables (entities) with columns (properties) and rows (records).
- Relations are defined between tables for cross-referencing using a primary key.
- Data can be pulled from multiple tables to create a record using structured query language (SQL).
Unstructured Data
- Unstructured data is a significant challenge for organizations, and business intelligence applications and technologies can be employed to gather, store, analyze, and provide access to this data.
- Examples of unstructured data include emails, social media posts, text messages, business documents, and videos.
Non-relational, NoSQL Database
- Non-relational NoSQL databases do not use structured tables, instead using flexible schemas for unstructured data storage.
- Drawbacks of non-relational databases include less control over consistency and data relationships.
Semi-structured Data
- Semi-structured data has metadata attached that describes content, such as SharePoint lists, document libraries, and project and team sites.
- Examples of semi-structured data include XML documents, e-commerce transactions, and server application programming interfaces (APIs).
Big Data
- Big data refers to data that is too large to process with traditional database and software techniques.
- Characteristics of big data include volume, variety, velocity, veracity, value, and variability.
- Organizations can incorporate big data techniques into their existing architecture, such as using radio frequency identification (RFID) tags to track products.
Data Warehouses, Marts, Lakes, Lakehouses, and Hubs
- A data warehouse is a central repository of preprocessed, structured data for analytics and business intelligence.
- A data mart is a smaller version of a data warehouse that serves specific business units.
- A data lake is a centralized repository that allows storing all structured and unstructured data at any scale.
- A data lakehouse combines big data analytics and performance metrics.
- A data hub is used for controlled data-product distribution.
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Description
This quiz covers the basics of student information systems, including their functionality and role in organizing student data and supporting educational operations.
