[02/Weaver/01]

<p>True (A)</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>Rate of Change Split = A process performed to optimize storage consumption or reduce query costs in some systems Table Compression = An alternative to rate of change split that is recommended in some cases Optimize Storage Consumption = One of the main purposes of performing rate of change split Reduce Query Costs = Another main purpose of performing rate of change split in some systems</p> Signup and view all the answers

<p>Performing Rate of Change Split = A process that can be done to optimize storage consumption or reduce query costs Using Table Compression = An alternative method that can be used instead of rate of change split Optimizing Storage Consumption = A result achieved by performing rate of change split or using table compression Reducing Query Costs = Another result achieved by performing rate of change split or using table compression</p> Signup and view all the answers

<p>Rate of Change Split is performed to optimize storage consumption = A true statement about the purpose of rate of change split Table Compression is the recommended alternative to performing rate of change split = A true statement about the alternatives to rate of change split Rate of Change Split is performed to reduce query costs in some systems = A true statement about the purpose of rate of change split in certain scenarios The recommended approach for rate of change split is to use table compression = A statement that suggests the preferred method for rate of change split</p> Signup and view all the answers

<p>Rate of change = The speed at which data in a satellite table changes over time Satellite table = A table that contains the descriptive attributes of a business entity Rate of change satellite split = A technique for splitting a satellite table into two or more tables based on the rate of change of the data Data Vault = A data modeling and database methodology that is designed to provide long-term historical storage of data</p> Signup and view all the answers

<p>Customer data = Split into two satellite tables: one for data that changes frequently, and one for data that changes rarely Product data = Split into three satellite tables: one for data that changes frequently, one for data that changes occasionally, and one for data that changes rarely Employee data = Not suitable for rate of change satellite split as all attributes may have different rates of change Sales data = Split into multiple satellite tables based on the rate of change of different attributes</p> Signup and view all the answers

<p>Step 1 = Identify the attributes in the satellite table that have different rates of change Step 2 = Create a new satellite table for each rate of change Step 3 = Transfer the corresponding data from the original satellite table to the new satellite tables Step 4 = Update the ETL processes and queries to work with the new satellite structure</p> Signup and view all the answers

<p>Improved performance = Splitting a satellite table into multiple tables based on the rate of change of the data Reduced storage requirements = Creating separate satellite tables for data with different rates of change Easier data analysis = Having dedicated satellite tables for data that changes at different rates Simplified data querying = Working with smaller and more focused satellite tables</p> Signup and view all the answers

<p>Shipping address = Frequently changing Name = Rarely changing Contact information = Frequently changing Date of birth = Rarely changing</p> Signup and view all the answers

<p>Sales data = Split into multiple satellite tables based on the rate of change of different attributes Inventory data = Not suitable for rate of change satellite split as all attributes may have different rates of change Customer data = Split into two satellite tables: one for data that changes frequently, and one for data that changes rarely Supplier data = Split into multiple satellite tables based on the rate of change of different attributes</p> Signup and view all the answers

<p>Improving performance and storage requirements (C)</p> Signup and view all the answers

<p>Identifying attributes with different rates of change (D)</p> Signup and view all the answers

<p>Attributes with different rates of change (A)</p> Signup and view all the answers

<p>Splitting the table into one for frequently changing data and one for rarely changing data (C)</p> Signup and view all the answers

<p>Improving performance and storage requirements (B)</p> Signup and view all the answers

<p>To improve performance and storage requirements (D)</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers