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  1. USE CASES

ZebClient Analytics

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Last updated 1 year ago

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) -

  • Data storage -

  • Unified data access - ZebClient filesystem

  • Python notebook -

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 -

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

for SQL and plot of data analytics on Jupyterlab.

Kubeflow the Machine Learning Toolkit for Kubernetes
ZebClient
JupyterHub
JupyterHub
Elyra
JupySQL
Kubeflow
Airflow
Airbyte