Create fully functional ingestion flows within minutes
Build, operationalize, and manage machine learning models at scale
Move, cleanse, and transform your data in the cloud from any source within minutes
Enable your data-flow journey with self-service data processing, machine learning, and DataOps
StreamAnalytix Overview
Ingest, blend, and process high-velocity big data streams as they arrive, run machine learning models, visualize results on real-time dashboards, and train and refresh models in real-time or in batch mode
Why StreamAnalytix?
End-to-end data processing and analytics
Supports data ingestion, data preparation and processing, analytics, data science and machine learning, action triggers, data visualization, and data storage
Application data flow lifecycle management
Build applications with end-to-end support for the entire application delivery lifecycle – design,
Open source flexibility
Take advantage of the best-of-breed open source technologies integrated into a high-performance, build, test, debug, deploy, monitor, and manage scalable, and reliable enterprise-grade platform
Workflow orchestration
Integrate multiple pipelines to work in sync and automate the execution of multiple inter-related tasks
Extensibility
Keep full control and flexibility to add new functionality and interfaces as the technology ecosystem evolves
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…