Based on some real-time events, a government entity wants to build a solution for collecting its citizens' data and analyze it for data insights according to some rules and KPIs. The data can be received in different formats, so there is a need to unify all of the data formats through data transformation and filtration rules.
Which IBM Cloud services can help in this case?
The IBM Cloud services that can help in building a solution for collecting, transforming, and analyzing data from different formats are Event Streams and App Connect.
IBM Event Streams: This is an Apache Kafka-based messaging service designed to handle real-time data streaming and ingestion. It can collect and distribute data from various sources, making it suitable for scenarios involving data from multiple sources or formats.
IBM App Connect: App Connect provides integration capabilities that allow for data transformation, mapping, and filtration, enabling the unification of data formats before processing. It helps in creating rules to transform data according to the desired structure.
Reference from IBM Cloud Professional Architect Materials:
IBM documentation on Event Streams and App Connect describes how these services can work together to handle and transform data from multiple sources for real-time analytics and integration.
Other options are incorrect:
A . API Connect and Aspera focus on API management and high-speed data transfer, respectively.
C . Event Streams and Aspera are not geared towards data transformation and integration.
D . App Connect and Datastax do not provide the necessary data streaming and collection capabilities.
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