Page 1: Test Notebook Deployment Pipeline

Overview of Deployment Pipeline

• Deployment Pipelines: Visualize movement of notebooks through Development, Test, and Production stages.

• Deployment History: Review past deployments, showing dates and success status.

Workspaces for Notebook Demo

• Workspaces: Demonstrates different configurations, including Development and Test states.

• Deployment Details:

  • Deployed: 09/30/24, 2:38 PM

  • Successful deployments highlighted in green.

Deployment Options

• Deploy: Initiate a deployment phase.

• Compare Deployments: Analyze differences between selected and source stages.

Deployment Rules Setup

• Deployment Rules: Optionally add rules during deployment selection to customize the process.

• Important for managing versions across different environments.

Page 2: Deployment Options Continued

Details of Current Deployments

• Deployment history continues with successful build references.

• Each deployment shows the compatibility and issues between various stages.

Environment Settings

• Fabric supports parameterizing default lakehouses.

• Options: Same as the source, not applicable (N/A), or specify different lakehouse.

Page 3: Notebook Deployment Rules

Configuration of Notebook Rules

• Set Deployment Rules: Establish criteria for handling deployments.

• Configure the default lakehouse for each notebook.

Secured Data Isolation

• Specifying the target lakehouse enhances data management safety for notebooks.

• Configuration overrides default settings for enhanced security.

Page 4: Feedback Guidelines

Providing Feedback

• Option to submit feedback on the page usability.

• Community engagement encouraged for feature requests and improvements.

Page 5: Manage Notebooks with APIs

Notebook API Overview

• Provides CRUD operations for notebook management.

• Service Principal Authentication: Required for Notebook CRUD API usage; direct execution currently not supported.

API Methods Available

• Create, Update, Delete: Essential API interactions for managing notebook lifecycle.

• Get Item: Retrieve metadata or content of specific notebook items.

Page 6: Advanced Job Scheduling Actions

Scheduler Capabilities

• Run on Demand: Execute notebooks with parameters as needed.

• Job Management: Cancel running instances or check status effectively through the provided API.

API Usage Example

• Detailed information on creating notebooks using REST API requests, including payload structure.

Page 7: Notebook Item Creation and Parameterization

Notebook Creation Process

• REST API allows for creating new notebooks with clear definitions from existing .ipynb files.

• Example: POST requests with payload to build and store new notebooks.

Page 8: Get Notebook Content

Fetching Notebook Definitions

• Use API requests to retrieve notebook content in the specified format, typically as .ipynb.

• Supported JSON format and responses for seamless data handling.

Page 9: On-Demand Notebook Execution

Executing Notebooks with PREDICT

• Notebook runs can be scheduled dynamically with parameters, allowing for customized execution conditions.

• Directly supports passing required configurations during runtime.

Page 10: Execution Status Tracking

Monitor Job Status

• Track execution using status links provided for live monitoring of ongoing job instances.

• Cancel job capabilities are also accessible through the UI.

Page 11: Managing Environments

Overview of Environment Setup

• Creating Environments: Central management for hardware and software settings in Fabric.

• Configure compute resources effectively to meet specific project needs.

Page 12: Runtime Configuration

Managing Runtime Settings

• Different Spark runtimes can be selected based on project requirements.

• Updating existing runtime configurations requires republishing.

Page 13: Saving and Publishing Changes

Change Management

• Ensure that any unsaved changes are captured before navigating away from the interface.

• Procedures to publish changes or discard them highlighted.

Page 14: Accessing and Attaching Environments

Environment Management

• Tools to attach environments to notebooks and Spark job definitions enabling effective resource utilization.

Page 15: Default Environment Configuration

Setting Default Environments

• Configurations allow for applying a standardized environment across multiple notebooks and Spark tasks.

Page 16: Enhancements in Environment Settings

Upgrading Environment Features

• Discusses migration strategies for existing library management to enhance performance and compatibility.

Page 17: Sharing Environments

Environment Access Control

• Sharing environments with different permission levels streamlines collaborative efforts while managing access securely.

Page 18: Permissions for Environment Access

Understanding Environment Shareability

• Users can set permissions for sharing environmental contexts improving collaborative scenarios in development phases.

Page 19: Spark Compute Configuration Settings

Spark Compute Management

• Managing Spark properties to fine-tune jobs executed within the environments optimized for performance.

Page 20: Modifying Session Level Properties

Session Management

• Delegates configuration adjustments at individual item levels enabling tailored performance metrics for operations.

Page 21: Managing Libraries in Environments

Library Management Overview

• Installing and managing library dependencies within environments to promote maintainable and collaborative notebook usage.

Page 22: Custom Libraries Management

Library Repository Management

• Libraries sourced from public repositories and how to deploy them within custom environments effectively.

Page 23: Popular Libraries Installation

Automatic Library Management

• Bulk import functionalities for public libraries streamline environment setups efficiently.

Page 24: Library Dependencies Management

Utilizing Dependencies with Libraries

• Critical to understand and manage dependencies for smooth operations across libraries.

Page 25: Uploading and Managing Custom Libraries

Operation on Custom Libraries

• Guides how to upload and manage proprietary code libraries facilitating specialized development in notebooks.

Page 26: Migration Strategy for Libraries

Library Migration to Default Environment

• Guidelines on moving existing workspace libraries to newly configured environments for optimization and better management.

Page 27: Preparation for Migration Process

Pre-Migration Check

• Details the necessity to audit current configurations for a smooth transition to the new environment setup.

Page 28: Processes for Migration

Steps in Cataloging Existing Libraries

• Visual guide on transitioning old configurations into an upgraded management system.

Page 29: Finalizing Migration Tasks

Verification of Migration Success

• Consequential validations needed once migration procedures have been applied are discussed here.

Page 30: Enabling Default Environment Post Migration

Transitioning to Default State

• Specifications on how to ensure your newly attached environment gains operational precedence in the workspace.

Page 31: Updating Environment Configuration Settings

Maintainability Considerations Post Setup

• Environment settings safeguard against configuration loss in ongoing development cycles.

Page 32: Confirmation of Default Environment

Finalize Environment Setup

• Assuring environment settings are correctly applied and ready for use.

Page 33: Ensuring Environment Visibility

Checking Environment Status

• Updates to confirm new environments are recognized within workspace settings properly.

Page 34: Environment Management Overview Continued

Recapitulation Of Environment Management

• Summary information to reinforce understanding of environment management and setup within Microsoft Fabric.

Page 35: Feedback Collection

Family of Features and User Interaction

• Conclusion section collecting user impressions about the documentation.

Page 36: AI Samples Overview

Insight into AI Functionality

• Topics on how Microsoft Fabric aids AI model development within business contexts, improving stakeholder collaboration.

Page 37: End-to-End AI Tutorial Samples

Hands-On Engagement with AI Tools

• Various scenarios exemplifying chapter-based learning through AI tools in Microsoft Fabric.

Page 38: Predictive Maintenance Module

Framework of Advanced Planning Techniques

• Models designed for improving product lifecycle through predictive analytics.

Page 39: Educational Materials Recap

Collection of Learning Resources

• Additional recommendations for achieving fluency in Microsoft Fabric usage.

Page 40: Recommendation System Creation Tutorial

Building Collaborative Filtering Systems

• Offers step-by-step instruction for deploying recommendation systems using available data models.

Page 41: Engaging in Built-in Notebooks

Accessing Learning Materials and Samples

• Options for effectively engaging with provided resources throughout the documentation.

Page 42: Customer Churn Prediction Workflow

Core Components Explained

• Examination of attributes influencing customer decisions within banking contexts illustrating churn prediction.

Page 43: Data Collection for Analysis

Techniques for Data Retrieval and Management

• Described processes for developing actionable insights through targeted data gathering methods.

Page 44: Text Classification within Products

Building Models for Text Processing

• Guides through creating models for classifying text-based data sets.

Page 45: Practical Usage of Input Data for Modeling

Setting Ground for Intelligent Modeling

• Constructs the foundation of intelligent prediction mechanisms.

Page 46: Visualization Techniques for Insights

The Importance of Results Visualization

• Underlines how visual representation manifests crucial insights for stakeholder decision-making.

Page 47: Performance Evaluation Metrics

Quantitative Analysis of Predictions

• Assessment criteria emphasizing accuracy and reliability of modeled predictions.

Page 48: Sparsity in Data Exploration

Understanding User-Item Interaction Characteristics

• Evaluation of how sparse data can affect outcomes in recommendation modeling.

Page 49: Setting Up Model Evaluation

Steps for Accurate Assessment

• Establishes baseline measures for comprehensively evaluating the model's performance.

Page 50: Tracking Machine Learning Experiments

Summary of Model Development Process

• Information channel on how practical aspects of machine learning converge with Microsoft Fabric tools.

Page 51: Leveraging Real-World Applications

Influence of Society on Machine Learning Practices

• Discussion on machine learning technologies expanding their reach across various industries.

Page 52: Overview of Model Predictions

Execution Integrity and Predictive Confidence

• Highlighting the interactive aspects of model execution in real-time applications.

Page 53: Static Data Management Techniques

Handling Large-Dataset Operations

• Addressing optimal strategies for large scale data handling.

Page 54: Security Through Environment Management

Implementing Safety Protocols

• Ensuring data safety and integrity through strict environmental measures.

Page 55: Community Feedback Options

Channels for User Interaction and Feedback

• Mechanism of connecting with users for product improvement ideas.

Page 56: Handling Group Dynamics in Data Teams

Effective Team Strategies for Managing Collaboration

• Guidance on facilitating significant collaboration in data-heavy environments.

Page 57: Process Documentation Importance

Producing Comprehensive Documentation for Understanding

• A teaching guide to emphasizing thorough documentation practices.

Page 58: Information Architecture within Data Structures

Overall Structure Alignment with Business Goals

• Detailing how businesses can realign data processes with their strategic objectives.

Page 59: Continuous Improvement Practices

Ongoing Assessment of Procedures and Protocols

• Schematic on approaches to improve data strategies persistently.

Page 60: Framework for New User Onboarding

Structuring Information for New Users

• Schematics focusing on creating effective onboarding processes for new entrants.

Page 61: Practical Recommendations for Businesses

Giving Power Back to Users through Tools

• Suggestions aimed to streamline effective practices within organizations.

Page 62: Ensuring Compliance with Data Regulations

Frameworking Legal Practices for Data Users

• Outlining necessary mechanisms to comply with industry regulations.

Page 63: Visualization for Demonstrating Results

Techniques for Impactful Information Display

• Emphasizing visual representation as key to illustrating critical statistics accurately.

Page 64: Harnessing User Feedback for Continuous Growth

Growing Solutions Through User Insights

• A focus on receiving and utilizing user feedback effectively for platform improvement.

Page 65: Choice-Driven Management in Processing Data

Tailoring Management Strategies Based on User Feedback

• Engagement of user-driven inputs in shaping data practices.

Page 66: Fostering Accountability in Data Governance

Structuring Departments to Enforce Accountability

• Ensuring that accountability mechanisms are placed at every strategic level.

Page 67: Community Engagement and Activities

Methods for Promoting Collective Involvement

• Techniques to connect with the community and promote user-driven initiatives.

Page 68: Final Thoughts on Data Service Implementation

Long-term Strategy for Successful Implementations

• Final recommendations summarizing the best practices for Microsoft Fabric usage.

Page 69: Streamlined Processes for Enhancing User Experience

Ensuring Seamless Experiences During Usage

• A final guide encouraging practices for making user experiences smooth.

Page 70: Focus on Human-Centric Design in Services

Incorporating User-Centric Designs into Services

• Addressing the importance of focusing on user needs in service design.

Page 71: Enhancements in Community Forums and Feedback][Analysis

Guiding Users to Contribute Effectively in Forums

• Encouraging beneficial engagement through structured community forums.

Page 72: Product Lifecycle Tracking through Feedback

Continually Monitoring Product Usage

• Structuring engagement around continuous product use tracking.

Page 73: Communicating Value of User Experiences

Using Testimonials to Enhance Brand Value

• Strategies showcasing user experiences that relay real-life value.

Page 74: Comprehensive Review Plan for Processes

Review Centers for Effective Skill Assessments

• Establishing hubs for skills evaluation and development enhancement.

Page 75: Event Tracking for Products

Collecting Actions and Reactions from Users

• Logging functionalities enabling adaptive enhancements based on user engagement.

Page 76: Modeling User Experiences within Products

Structuring Processes for Maximal User Benefit

• An emphasis on ensuring user-centered design at every decision point.

Page 77: Reinforcing Learning Outcome Analysis

Employing Strategies for Comprehensive Learning Reviews

• Systems in place to amplify the learning experiences during user interactions.

Page 78: Compliance Checks Regarding User Regulations

Ensuring Adherence to Compliance Regulations

• Frameworks to keep service implementations in line with regulations.

Page 79: Continuous Education Around Product Use

Methods for Promoting Ongoing Education

• Encouraging engagement through consistent education around products.

Page 80: Integration Strategies for User Activity Tracking

Logistics Behind User Tracking Implementations

• Structured methods on implementing user tracking efficiently.

Page 81: Defining Outcomes Associated with User Engagement

Impact Measurement of User Experiences

• Scenarios in which user engagement leads to substantial outcomes for businesses.

Page 82: Addressing Diverse User Engagement Needs

Strategies for Catering to Different User Groups

• Policies that enable frameworks satisfying diverse user requirements.

Page 83: Success Metrics for Product Engagement

Establishing Metrics to Define Success

• Clear indicators facilitating recognition for successful engagements.

Page 84: Communal Growth through User Interaction

Encouraging Wider Participation Across Community Spaces

• Methods promoting inclusive atmospheres within user communities.

Page 85: Product Iteration Behaviors through Feedback

Generating Behavioral Insights from Product Use

• Conducting analyses based on iterations driven by user feedback patterns.

Page 86: Leveraging Product Development Processes

Strategies Utilizing User Feedback for Development

• Detailed approaches focusing on product iterations based on user insights.

Page 87: Event Tracking for User Journey Analysis

Transitioning from User Events to Analytical Metrics

• Concrete steps aligning user actions with feedback loops for meaningful insights.

Page 88: Proactive Measures in Understanding User Needs

Incorporating User Needs into Decision-making Processes

• Organizational approaches focusing on user-centered developments within products.

Page 89: Feedback Loops to Enhance User Retention

Building Systems for Strategic Feedback Collection

• Systems in place fostering user retention through effective feedback loops.

Page 90: Reflective Measures in Product Usefulness

Constant Evaluation and Adapting Product Strategies

• Strategies motivating continuous evaluation for maximal utility.

Page 91: Performance Measures in Viewing User Outcomes

Facilitate Understanding of User Experience Improvements

• Solutions leading to enhanced user experience understanding.

Page 92: Quantitative Assessment of Product Engagement

Structuring Assessments for Impact Measurement

• Renewed frameworks focusing on product engagement impact assessments.

Page 93: Throughput for Efficient User Engagement

Maintaining Engagement through Strategic Processes

• Ensuring productive engagement through strategic efforts.

Page 94: Synchronizing Operations with User Experiences

Messaging Systems Allowing Seamless Operations

• Communication tools consolidating operation enhancements through user experience synchronization.

Page 95: Tactical Approaches in Safe Community Interaction

Policymaking for Safety in User Community Engagement

• Encouraging safe practices in community interactions to promote engagement continuity.

Page 96: Designed Learning Outcomes for User Engagement

Ensuring User-Centered Designs for Learning Engagements

• Updated learning strategies aligned intricately with user center goals.

Page 97: Market Innovation Triggered Through User Responses

Amplifying Product Innovations via User Responses

• Strategies amplifying the creativity and innovation aspects by taking into account user thoughts.

Page 98: Feedback as a Strategic Growth Tool

Leveraging User Feedback for Growth Strategies

• Incorporating feedback loops specifically geared towards strategic growth applications.

Page 99: Acknowledging User Wishes in Product Development

Strategies for Mapping User Aspirations with Goals

• Facilitating versions of development inspired by user aspirations mapping.

Page 100: Optimizing User Engagement Through Feedback Mechanisms

Streamlining Communications According to User Input Initiatives

• Ensuring communication streams align perfectly with user feedback initiatives.