Tutorials
Ai- DataLake Tutorials and Commands
Overview
Zeblok Datalake is a high-performance data-store, compatible with the S3 protocol, intended for secure high speed data transfer. As an object store, Zeblok Datalake allows users to read and write large amounts of unstructured data such as photos, videos, log files, spreadsheets, CSV files, etc. Datalake is cloud native and supports GPU-optimized queries through the addition of BlazingDB.
With a robust and simple online interface, API CRUD access, in-built Zeblok CLI magic commands, and Python integrations, users can instantly run complex AI related queries for a variety of datasets, visualize the results, and share/revoke reports with clients.
Zeblok CLI
Get the Latest Version Zeblok CLI using Below Command
npm i -g zbl-cli
Configure the Zeblok CLI

Set DatalakeUrl
zeblok setUrl http://18.189.16.253:9000
Login using Zeblok CLI
To login using Zeblok CLI open terminal from Jupyterlab environment and type the below command.
zeblok login <username> <secret key>
List all the Files and Directory on Datalake
zbl tree -f zb/datalake/<username>/
Copy file from DataLake to local Notebook Directory
zbl cp zb/datalake/<username>/<filepathOnDatalake> <filepathOnNotebookStorage>
Example is given below:
zbl cp zb/datalake/akash/main.go main.go
Copy file from Local Notebook Directory to Datalake
zbl cp <localfilePath> zb/datalake/<username>/<datalakeFilePath>
Example:
zbl cp ZeblokReadme.ipynb zb/datalake/akash/
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