Integ-true/false

Data migration involves the transfer of data back and forth between two systems in a single discrete session.

False

Broadcasting filters out unnecessary information from the union process.

False

Broadcasting is a process that moves data in a multiple direction.

False

Transforming involves conversion of data into a different format or structure.

True

Extracting of data from a source is an example of data transformation.

False

Correlational is also a bi-directional sync.

True

The components that make up migration include only the source system and the target system.

False

Aggregation is the process of combining data from a number of different systems into a single target system.

True

Vertical integration is achieved using a single specialized subsystem known as an Enterprise Service Bus (ESB).

False

System integration can eliminate the need for repetitious data entry.

True

B2B integration is the automation of inter-organizational business communication and processes.

True

Point-to-point integration is where each system communicates with the other directly without an intermediary or centralized hub.

True

Scalability and flexibility can provide personalized, timely, and consistent experiences across multiple touchpoints.

False

Vertical integration is ideal for developing basic, single-function integrations.

True

System integration may be an expensive endeavor for many enterprises.

True

Testing is one of the stages of System Integration.

False

In star integration, a central hub acts as the central point of coordination between subsystems.

False

Synchronizing data between systems with different data formats can be complex and may require data mapping and transformation.

True

Network and Connectivity Issues is an example of data synchronization complexities.

True

Data migration is the process of moving the data from source system to destination.

True

ETL is ideally suited for batch processing.

True

Master Data Management is the consolidation and synchronization of master data across systems which can be achieved with the help of data transformation and mapping.

True

Ensuring data consistency during synchronization is vital to prevent data corruption or loss.

True

ELT is useful when working with large-amounts of data.

True

Data aggregation, Data harmonization, Data denormalization are examples of Data Analytics and Reporting.

True

ETL is a conventional data integration technique that entails extracting data from source system, altering it to suit the target data model or requirements, and then putting it into a destination system or data warehouse.

True

Data virtualization is helpful when there is a requirement for real-time access to a variety of data sources.

True

ETL is also known as “data lake integration”.

False

As data volumes grow, traditional ETL (Extract, Transform, Load) processes may not struggle to scale efficiently.

False

Quality data management is the process of creating a unified set of data from several data types, fields, and formats.

False

Latency and Performance is an example of data integration challenges.

False

Data cleansing involves adding new information such as geolocation data or data from external reference sources.

False

Data migration involves the transfer of data back and forth between two systems in a single discrete session.

False

The combining of two datasets originating from distinct systems such that each can function independently while still surviving as its own dataset is bi-directional sync.

True

Broadcasting filters out unnecessary information from the union process.

False

Broadcasting is a process that moves data in multiple directions.

False

Transforming involves the conversion of data into a different format or structure.

True

Extracting of data from a source is an example of data transformation.

False

Correlational is also a bi-directional sync.

True

The components that make up migration include only the source system and the target system.

False

Aggregation is the process of combining data from a number of different systems into a single target system.

True