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21 lines
2.1 KiB
Markdown
21 lines
2.1 KiB
Markdown
---
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title: Data Management
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weight: 18
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---
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## Data Management Integrations
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| Integration | Description |
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| ------------------------------- | -------------------------------------------------------------------------------------------------- |
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| [Airbyte](/documentation/data-management/airbyte/) | Data integration platform specialising in ELT pipelines. |
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| [Airflow](/documentation/data-management/airflow/) | Platform designed for developing, scheduling, and monitoring batch-oriented workflows. |
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| [Connect](/documentation/data-management/redpanda/) | Declarative data-agnostic streaming service for efficient, stateless processing. |
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| [Confluent](/documentation/data-management/confluent/) | Fully-managed data streaming platform with a cloud-native Apache Kafka engine. |
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| [DLT](/documentation/data-management/dlt/) | Python library to simplify data loading processes between several sources and destinations. |
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| [Fluvio](/documentation/data-management/fluvio/) | Rust-based platform for high speed, real-time data processing. |
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| [Fondant](/documentation/data-management/fondant/) | Framework for developing datasets, sharing reusable operations and data processing trees. |
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| [MindsDB](/documentation/data-management/mindsdb/) | Platform to deploy, serve, and fine-tune models with numerous data source integrations. |
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| [NiFi](/documentation/data-management/nifi/) | Data ingestion platform to manage data transfer between different sources and destination systems. |
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| [Spark](/documentation/data-management/spark/) | A unified analytics engine for large-scale data processing. |
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| [Unstructured](/documentation/data-management/unstructured/) | Python library with components for ingesting and pre-processing data from numerous sources. |
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