Connect
This layer provides an end-to-end data engineering solution, allowing data engineers to connect to any type of data source, such as SQL, NoSQL, IoT devices, APIs, streaming data, etc. while also supporting structured, semi-structured, and unstructured data.
Module Highlights :
- Enables change to data capture support
- Offers template-based data ingestion
- Utilise out of box connectors for enterprise applications
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Construct
This layer offers declarative ETL pipelines for both stream and batch ingestion, as well as visible end-to-end pipeline tracking for health performance quality.
Module Highlights :
- Provides data pipeline observability
- Creates unified data pipeline scheduling
- Offers stream and batch processing pipelines
- Incorporates data lineage
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Contain
This layer enables industry-first polyglot storage, allowing clients to choose storage based on their use-cases.
Module Highlights :
- Offers an on-prem/Cloud object storage which supports pushdown and is proven for petabytes of data
- Supports real-time distributed OLAP data storage suitable for user-facing analytics with smart indexing
- Enables zero-copy reads of large data sets for lightning-fast data access in AI and machine learning applications.
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Consume
This layer serves as a unified gateway, exposing and aggregating data from polyglot storage. It also incorporates an MPP (Massively Parallel Processing) distributed query engine which can be used with SQL queries
Module Highlights :
- Supports SQL and can be connected through JDBC
- Offers Data Virtualization support
- Serves as a convenient data discovery tool that also facilitates collaboration.
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Control
This layer provides a simple and single console for monitoring and managing all DigiXT modules.
Module Highlights :
- Permits for authentication and authorization
- Allows log and audit management
- Enables extensive security management
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