What are common use cases for Data Transformation Platform
What are common use cases for Data Transformation Platform
Example use cases for Data Transformation Platform
Data Streaming
Streaming data is the continuous flow of data generated by various sources. The data streaming can be processed, stored, analyzed, and acted upon when generated in real-time. The data streaming used by businesses is:
Batch ETL is the process of converting data from one format or structure into another format or structure. It usually handles large volumes of data at a regular interval, not necessarily in real-time.
Data Pipeline eliminates many manual steps from the process and enables an automated flow of data from one station to the next. It automates the processes involved in extracting, transforming, combining, validating, and loading data for further analysis and visualization.
Example use cases for Data Lake Platform Provides a managed service using Kubernetes for delivering a set of integrated solutions (Data Flow, Data Transformation, Data as a Service) that ingests data from multiple data sources into a Data Lake. ...
Data Transformation Platform provides a managed service using Kubernetes to convert data from one format or structure into another format or structure. This allows a user to use dpStudio UI to create a Data Transformation Stack by configuring the ...
Example use cases for Data Flow Platform Data Ingestion Stream Data Ingestion Ingest data in real-time as they arrive. Good for real-time data-driven decision processing for improving customer experience, minimizing fraud, and optimizing operations ...
Example use cases for Microservice+ Platform: Legacy applications refactoring and modernization Enterprises often rebuild their IT systems to change the functionality, add new features, move to the Cloud, or conduct global system modernization. A ...
Example use cases for Elastic Stack+ Platform Logging and Log Analysis The ecosystem built up around Elasticsearch has made it one of the easiest to implement and scale logging solutions. From Beats to Logstash to Ingest Nodes, Elasticsearch gives ...