ZebClient Analytics

ZebClient Analytics(lakeuno) is a private high performance open-source "Modern Data Analytics Platform" supporting an AI SQL agent integrated with a ZebClient filesystem using object storage, S3 or Blob for any size of structured or unstructured data.

General

ZebClient Analytics infrastructure as code (IaC) delivers:

Infrastructure

• Machine Learning (ML) - Kubeflow the Machine Learning Toolkit for Kubernetes

• Data storage - ZebClient

• Unified data access - ZebClient filesystem

• Python notebook - JupyterHub

Data Storage - ZebClient

• A posix compliant filesystem to all compute clusters and data analytic nodes

• Simplicity by showing a standard filesystem to access all data

• Scalable high performance data access to all nodes

• A unified data access to all nodes

• Cost effective object storage backend S3 or Blob for all data

• Distributed filesystem access to all data

• Possibility to connect existing external S3 buckets to be shown as folders on the filesystem

• Simple portability of filesystem access to compute resources

Data Pipeline

• JupyterLab - JupyterHub

  • Elyra an AI-centric tool with support for advanced data pipelines.

  • JupySQL for SQL and plot of data analytics on Jupyterlab.

• Kubeflow

• Airflow

• Airbyte