datafloem-operator

v0.00.1.beta-4.dev-5

v0.00.1.beta-4.dev-3

Overview

Description

Datafloem is a modern, user-friendly data platform designed to streamline the entire data lifecycle. Built for data engineers, data scientists and analysts, it eliminates infrastructure bottlenecks.

Datafloem offers:
Data Unification: Integrate data from multiple sources into a datalake with minimal configuration.

Studio: Instantly launch JupyterLab environments on Kubernetes python and Spark for model training and pipeline development.

Processing & Transformation: Use flowbuilder and notebooks to clean, enrich, and transform data with versioning, reproducibility, and team collaboration.

Scalable Architecture: Built on Kubernetes.

Products using this container

Datafloem

Datafloem is a data platform that simplifies the collection, processing, and preparation of data across cloud and on-premise kubernetes environments. It empowers teams with low-code/no-code tools.

Containerized application

Security

Technical information

General information

The following information was extracted from the containerfile and other sources.

Summary	Provides the latest release of the minimal Red Hat Universal Base Image 8.
Description	The Universal Base Image Minimal is a stripped down image that uses microdnf as a package manager. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly.
Provider	DFL Teknoloji A.Ş.
Maintainer	info@datafloem.com

Technical information

The following information was extracted from the containerfile and other sources.

Repository name	Datafloem Operator
Image version	8.10
Architecture	amd64

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This certified image is distributed by a third party registry. Use the information above to pull the image or view pulling certified images from third party registries for more information.

To deploy Datafloem on OpenShift:

1. Install the Datafloem Operator from OperatorHub
2. Create a Datafloem instance in your preferred namespace
3. Configure your data sources and processing requirements
4. Access the Datafloem Studio through the provided route

For detailed documentation and support, visit: https://docs.datafloem.com

Description

Datafloem offers:
Data Unification: Integrate data from multiple sources into a datalake with minimal configuration.

Studio: Instantly launch JupyterLab environments on Kubernetes python and Spark for model training and pipeline development.

Processing & Transformation: Use flowbuilder and notebooks to clean, enrich, and transform data with versioning, reproducibility, and team collaboration.

Scalable Architecture: Built on Kubernetes.

General information

The following information was extracted from the containerfile and other sources.

Summary	Provides the latest release of the minimal Red Hat Universal Base Image 8.
Description	The Universal Base Image Minimal is a stripped down image that uses microdnf as a package manager. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly.
Provider	DFL Teknoloji A.Ş.
Maintainer	info@datafloem.com

Description

Products using this container

Datafloem

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Digest

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Technical information

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datafloem-operator

Description

Products using this container

Datafloem

Published

Release category

Size

Digest

General information

Technical information