Data Integration Tool
HyDDEP provides a variety of pre-built data integrations to access on-prem and cloud data sources. Developers and data engineers can directly utilize the connectors to integrate data on HyDDEP without developing any custom integrations.
Unified Federated Data Image
HyDDEP® enables building, navigating, and exploring a unified federated image of data entities across technologies.
- Unify your enterprise and external data on a common federated data image leveraging HyDDEP® model based architecture
- Choose from pre-built enterprise models to unify your data
- Explore, navigate, and visualize your data model using HyDDEP®
Virtual Data Lake
HyDDEP® enables data virtualization for organizations to leverage existing investments in data stores and data lakes by unifying all data into a unified virtual data image, eliminating the need to duplicate data.
- Present a unified virtual layer of data from disparate sources and provide to users as if from a single source
- Create, update, or delete data for any object
- Invoke analytics to analyze and explore data on HyDDEP®
- Infer and expose metadata from source schemas
Data Connectors
HyDDEP® provides a variety of data integrations to access cloud and on-premise data sources. Developers and data engineers can directly utilize the connectors to integrate data on AIMLow® without developing any custom integrations.
- Databases and big-data stores including Snowflake, Impala, HBase, Postgres, Cosmos DB, MongoDB, Oracle, AWS RedShift, SQL Server
- Cloud applications including Salesforce, HubSpot
- Queue-based systems including Apache Kafka, Azure Event Hubs, Azure Topics, AWS Kinesis, AWS SQL
- File systems including AWS S3, Azure Data Lake Store gen2, Azure Blob, HDFS, local file system
Enterprise Object Models
Dark Pools offers a variety of pre-built object models that can accelerate development of enterprise AI applications
- Industry Object Models comprise predefined integration canonicals, data models, and time-series for industries such as oil and gas, utilities, financial services, Logistics and supply-chain, manufacturing, retail and More
- Functional Packages comprise supervised & unsupervised ML models, an ML interpretability framework, and user interface tooling to address high-value use cases
- ML Packages contain methods for predictive analytics such as anomaly detection, NLP, object detection, and forecasting