Siksha Sarovar

Siksha Sarovar (sikshasarovar.com) is a free educational web application that helps students in India learn programming and prepare for academic and competitive exams. The platform offers structured coding courses (C, C++, Python, Java, HTML, CSS, PHP, Power BI, AI, Machine Learning, Data Science), complete university curriculum notes for BCA/MCA students with previous year question papers, Class 10 and Class 12 CBSE/HBSE school notes, and dedicated preparation material for SSC, UPSC, Banking, Railway and other government exams. Browsing the site is completely free and requires no account. Users may optionally sign in with Google solely to save their learning progress, quiz scores and personal preferences across devices.

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Siksha Sarovar is a free e-learning platform for coding courses, BCA university notes and competitive exam preparation. Optional Google sign-in saves your learning progress across devices.

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6.5 Deployment Pipelines

Lesson 54 of 62 in the free Power BI notes on Siksha Sarovar, written by Rohit Jangra.

Deployment Pipelines

Deployment pipelines provide a structured process for developing, testing, and deploying Power BI content across environments — similar to DevOps practices in software development.

What is a Deployment Pipeline?

A deployment pipeline manages the lifecycle of Power BI content through three stages:

Development → Test → Production

Each stage is linked to a Power BI workspace. Content flows from Development to Test to Production in a controlled manner.

Pipeline Stages

StagePurposeWho Uses It
DevelopmentBuild and create reportsDevelopers, analysts
TestValidate and reviewQA team, stakeholders
ProductionLive for end usersBusiness users, executives

Setting Up a Deployment Pipeline

Pre-requisites: • Power BI Premium or Premium Per User (PPU) license • Admin or Member role in the workspaces

Steps:

  1. In Power BI Service → Deployment pipelines (left nav)
  2. Click Create pipeline → Name it
  3. Assign workspaces to each stage:
  • Development workspace
  • Test workspace
  • Production workspace
  1. Content from each workspace maps to its pipeline stage

Deploying Content

Steps:

  1. Open the deployment pipeline
  2. In the Development stage → Click Deploy to next stage
  3. Review changes — new, modified, and deleted items are shown
  4. Click Deploy
  5. Content copies to the Test workspace
  6. After testing → Deploy from Test to Production

What Gets Deployed

ItemDeployed?
Reports (.pbix)
Datasets
Dataflows
Paginated reports
Dashboards❌ (must be recreated)
Apps❌ (must be republished)

Deployment Rules

Deployment rules let you change configuration when content moves between stages (e.g., different database connections for test vs production).

Types of Rules:

Rule TypeWhat It Changes
Data source rulesConnection string, server name, database
Parameter rulesPower Query parameter values

Example: • Development connects to: dev-server.database.com • Test connects to: test-server.database.com • Production connects to: prod-server.database.com

Comparison Indicators

The pipeline shows comparison status between stages:

IndicatorMeaning
🟢 Green checkmarkStages are in sync
🟡 Orange warningContent is different (needs deployment)
🔴 Red XContent exists in one stage but not the other
ℹ️ NewItem is new and hasn't been deployed yet

Best Practices

Always deploy through the pipeline — never edit production directly • Use deployment rules for environment-specific configurations • Test thoroughly in the Test stage before deploying to Production • Set up a deployment schedule (e.g., weekly releases) • Document changes for each deployment • Notify stakeholders before production deployments • Use Git integration alongside pipelines for version control