diff --git a/docs/_templates/index.html b/docs/_templates/index.html index cf21228..ed5b88a 100644 --- a/docs/_templates/index.html +++ b/docs/_templates/index.html @@ -7,285 +7,19 @@ - - Vineyard: an In-Memory Data Manager for Data-Intensive Analytics + GART: Graph Analysis on Relational Transactional Datasets - -
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- Vineyard: an In-Memory Data Manager for Data-Intensive Analytics -

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- An innovative cloud-native in-memory immutable data manager that offers - out-of-the-box high-level abstractions and zero-copy in-memory sharing - for distributed data in various big data tasks. -

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- pip install vineyard - - Successfully installed vineyard - python - client = vineyard.connect() - object_id = client.put('Hello, vineyard!') - client.get(object_id) - 'Hello, vineyard!' -
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Efficient data sharing

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- Vineyard shares immutable data across different systems using shared - memory without extra overheads, eliminating the overhead of - serialization and deserialization. -

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- Out-of-the-box data abstraction -

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- Vineyard defines a metadata-payload separated data model to capture - the payload commonalities and method commonalities between sharable - objects. -

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- Pluggable I/O - routines -

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- Vineyard provides common manipulation routines for immutable data as - drivers, which extend the capabilities of data structures by - registering appropriate drivers. -

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- Data orchestration on - Kubernetes -

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- Vineyard provides efficient distributed data sharing in cloud-native - environments by embracing cloud-native big data processing. -

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Use Cases

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Object store for all

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- Putting and getting arbitrary objects using Vineyard, in a zero-copy way! -

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Data sharing in Kedro pipelines

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Sharing intermediate data between tasks in Kedro pipelines.

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Data processing for machine learning

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- Sharing large objects between different systems in data preprocessing pipelines in machine learning - applications. -

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Data sharing on Kubernetes

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- Coordinating the flow of objects and jobs on Kubernetes - with the data-aware scheduler plugin. -

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