Title: Replace runtime Dockerfile modification with build arguments
Labels: enhancement, good-first-issue, docker
Problem:
The workflow modifies Dockerfiles at runtime using sed to inject the base image:
- name: Set FROM and as in Dockerfile
run: |
sed -i '1i FROM ${{ env.BASE_IMAGE}} as ${{ inputs.image }}'
Conda is a powerful package and environment manager that allows you to maintain multiple versions of Python and R simultaneously on the same system. This approach enables you to keep three versions of each language active at once, reducing migration burdens and allowing gradual transitions between versions.
If you don't have conda installed, download Miniconda (lightweight version) from: https://docs.conda.io/en/latest/miniconda.html
This document demonstrates a comprehensive exploratory data analysis (EDA) workflow using the Pokemon dataset. EDA is a crucial first step in any data analysis project, helping us understand the data's structure, identify patterns, and generate hypotheses.
We currently maintain 4.2 million SAS scripts, many of which:
Microsoft Fabric is very much like SAS in spirit: a tightly integrated, closed ecosystem that promises "one platform to rule them all." And switching from SAS to Fabric could absolutely be just trading one expensive dependency for another — especially if the goal is to cut costs and increase flexibility.
| Feature/Philosophy | SAS | Microsoft Fabric |
|---|---|---|
| Vendor lock-in | Strong | Strong (within Microsoft stack) |
| All-in-one ecosystem | Yes | Yes |
| Designed for low-code users | Yes (SAS Studio, GUI tools) | Yes (Power BI, Dataflows, etc.) |
| Analytics + Reporting | Built-in | Built-in (Power BI) |
Recommended Course: LFS258 - Kubernetes Fundamentals Bundle Price: $595 USD (includes LFS258 + CKA exam + exam retake) Duration: ~35 hours Goal: Build hands-on Kubernetes cluster management skills, including pods, networking, volumes, scheduling, Helm, and troubleshooting.
Justification:
Follow these steps to request a Linux Cloud VM:
Go to the VM Request Portal.
This proposal outlines a self‑hosted, open‑source data catalog solution—leveraging OpenMetadata, Apache Atlas, or DataHub—deployed on your existing AKS + Kubeflow environment. It layers in hardened security controls using Keycloak for identity, Vault for secrets, cert‑manager for TLS, OPA Gatekeeper for policy enforcement, Falco for runtime threat detection, and Kubernetes Network Policies for micro‑segmentation. All components are deployable via Helm charts, minimizing cost while maximizing compliance and operational efficiency.