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Contents
- 1 transient vs Persistent data
- 2 What is transient data in data warehouse?
- 3 Which of the following is true about reconciled data?
- 4 What data transformation includes?
- 5 Which of the following is included in in active data warehouse architecture?
- 6 Information related to the topic transient data is which of the following
transient vs Persistent data
Transient data is a type of data that is relevant for a limited time period. In a task UI, this time period is the duration of a task instance.Transient data is data that is created within an application session, which is not saved in the database after the application is terminated. Whereas physical memory is actually saved in RAM or on the hard-drive.
What is transient data in data warehouse?
Transient data is data that is created within an application session, which is not saved in the database after the application is terminated. Whereas physical memory is actually saved in RAM or on the hard-drive.
What is the transient data?
Transient data is a type of data that is relevant for a limited time period. In a task UI, this time period is the duration of a task instance.
What is a transient data store?
The Transient Data Store is a mechanism for shared memory; a tree that stores all data pertinent to a particular execution of the code. Within Gaudi, all algorithms, services, tools, etc., use the data store to: Retrieve the data needed to do its particular task.
Where is transient data stored?
Memory and disk caches are examples of transient storage. Contrast with persistent storage.
What are the types of data mart?
Three basic types of data marts are dependent, independent, and hybrid.
Which of the following is true about reconciled data?
Data that has been selected and formatted for end-user support applications. Data stored in one operational system in the organization.
Which of the following is true about reconcile data?
Data that has been selected and formatted for end-user support applications. Data stored in one operational system in the organization.
What is a reconciled data?
Data reconciliation (DR) is a term typically used to describe a verification phase during a data migration where the target data is compared against original source data to ensure that the migration architecture has transferred the data correctly.
Which of the following best describes reconciled data?
CORRECT ANSWER : Current data intended to be the single source for all decision support systems. Reconciled data could be stated as current data intended to be the single source for all decision support.
What is reconcile data Mcq?
Reconcile data is data stored in one operational system in the organization. Reconcile data is the data that has been selected and formatted for end-user support applications. Reconcile data is the current data intended to be the single source for all decision support systems. None. Check Answer.
What data transformation includes?
Data transformation is the process of converting data from one format, such as a database file, XML document or Excel spreadsheet, into another. Transformations typically involve converting a raw data source into a cleansed, validated and ready-to-use format.
What are types of data transformation?
- Bucketing/Binning.
- Data Aggregation.
- Data Cleansing.
- Data Deduplication.
- Data Derivation.
- Data Filtering.
- Data Integration.
- Data Joining.
What are the 5 stages of transforming data into information?
To be effectively used in making decisions, data must go through a transformation process that involves six basic steps: 1) data collection, 2) data organization, 3) data processing, 4) data integration, 5) data reporting and finally, 6) data utilization.
Which three tasks are involved in the data transformation process?
- Step 1 – Data Discovery. The first step in the data transformation flow begins when you identify and truly understand the information within its source format. …
- Step 2 – Data Mapping. …
- Step 3 – Code Generation. …
- Step 4 – Code Execution.
What are the types of transformation in ETL?
ETL transformation types
Basic transformations: Cleaning: Mapping NULL to 0 or “Male” to “M” and “Female” to “F,” date format consistency, etc. Deduplication: Identifying and removing duplicate records. Format revision: Character set conversion, unit of measurement conversion, date/time conversion, etc.
Which of the following is included in in active data warehouse architecture?
An active data warehouse should contain at-least one data mart belonging to a subject area. Also the data for the warehouse can be extracted from numerous internal and external sources. The data warehouse always gets near real-time updates i.e. the data is being updated constantly as and when it happens.
Which of the following includes in data warehousing?
A typical data warehouse often includes the following elements: A relational database to store and manage data. An extraction, loading, and transformation (ELT) solution for preparing the data for analysis. Statistical analysis, reporting, and data mining capabilities.
What are the 4 key components of a data warehouse?
A typical data warehouse has four main components: a central database, ETL (extract, transform, load) tools, metadata, and access tools.
What are the three types of data warehouse architecture?
- The bottom tier, the database of the data warehouse servers.
- The middle tier, an online analytical processing (OLAP) server providing an abstracted view of the database for the end-user.
- The top tier, a front-end client layer consisting of the tools and APis used to extract data.
What is Active Data Warehousing?
An Active Data Warehouse (ADW) is a combination of products, features, services, and business partnerships that support the Active Enterprise Intelligence business strategy. This term was coined by Teradata in 2001.
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