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
ERROR! Session/line number was not unique in database. History logging moved to new session 6
/opt/conda/bin/zeblok -> /opt/conda/lib/node_modules/zbl-cli/index.jserial remove 10yan/.npm/_lock
+ zbl-cli@1.1.9
updated 1 package in 4.359s
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.
Note:
SecretKey and Username are avaialable on Zeblok Computational Dashboard "Manage your Zeblok Accounts" Page