Use Extensions API for Custom Logic
With the Extensions API exposed by the platform, you can now write your own functionality in the language of your choice (Java, Scala, SQL, and Python), and make it available for all users across the platform.
Extensibility
Keep full control and flexibility to add new functionality and interfaces as the technology ecosystem evolves
Create Custom Data Operators
Connect to nearly any data source and data storage system with custom APIs.
Introduce custom data processing using various native Apache Spark and Apache Storm-based operators.
Create Custom Data Operators
Connect to nearly any data source and data storage system with custom APIs.
Introduce custom data processing using various native Apache Spark and Apache Storm-based operators.
Enables Custom Machine Learning
Build customized algorithms in a language of your choice (including Python and R).
Rapidly port predictive analytics and machine learning models built in SAS or R via PMML onto real-time data.
Well-Defined Extensions API Implementation
Each component or API extension has a well-defined API template that holds the business logic and lifecycle methods for implementation.
Well-Defined Extensions API Implementation
Each component or API extension has a well-defined API template that holds the business logic and lifecycle methods for implementation.
Resources
blog Nov 24, 2022
ETL vs ELT: Which data integration practice is right for you
ETL and ELT are common data integration processes that are extensively used in data science and business intelligence. While leading…