Data vs Metadata — Learn free

Self-check

Questions 1–10 of 10

1. In the Data vs Metadata discussion in *I Am Datapedia!*, what saying is attributed to Daniel Lundin?
Question 1A. Data without Metadata is a Data SwampB. One person's Metadata is Data for another personC. Metadata should always be stored with the raw dataD. Raw data must be kept for lifeE. Summarised data is never Metadata
2. In the Data vs Metadata argument, which kind of data is being referred to?
Question 2A. Raw Data coming from source systems into next datastores such as a Data Lake or Data WarehouseB. Only reference data held in lookup tablesC. Only data that has already been summarised in a dashboardD. Only structured data in relational tablesE. Only data produced by Metadata tools
3. Which of the following is given as an example of an unstructured raw dataset?
Question 3A. A relational sales tableB. A KPI on a dashboardC. A column nameD. Video, audio, PDF or emailE. A data dictionary
4. What kind of data do decision makers normally look at, according to the Data vs Metadata argument?
Question 4A. Summarised data, which is transformed data and therefore MetadataB. Every individual transaction rowC. Only operational log dataD. Only raw data from social mediaE. Only column names and data types
5. Which figures does a decision maker want when deciding whether to reinvest in a product?
Question 5A. Every sale transaction of the product in each regionB. The database schema of the sales systemC. The raw social media posts about the productD. The list of ETL jobs that load the sales dataE. TOTAL sales, TOTAL cost and other totals such as TOTAL marketing cost
6. Roughly what percentage of occasions call for investigating transactional data, according to the Data vs Metadata argument?
Question 6A. About 50%B. About 30%-40%C. About 90%D. Nearly 100%E. About 5%-10%
7. Why do source systems normally not allow a lot of read hits?
Question 7A. Because they do not store raw dataB. Because they never want to compromise the performance of their systemsC. Because regulators forbid direct queriesD. Because Metadata cannot be extracted from themE. Because they only store summarised data
8. Which development might remove the performance concern that limits read hits on source systems?
Question 8A. Storing more raw data in the Data WarehouseB. Replacing Metadata with Master DataC. Cloud with auto-scaling capabilityD. Purging all Metadata after extractionE. Moving all systems back on-premises
9. What is the author's own view on whether raw transactional data still needs to be pulled and maintained in the next storage?
Question 9A. It must always be kept for lifeB. It should be kept only in the source system's backupC. It should be duplicated in every datastoreD. For the author there is no need, though time will tellE. It should be kept only for unstructured data
10. Which of the following is NOT a reason given for keeping raw data for a certain time?
Question 10A. Fulfilling regulatory requirementsB. Investigating when something is wrongC. Improving the performance of the source systemD. Allowing decision makers to see transactional dataE. Extracting Metadata from it