DASVM’s Azure Fabric is a platform for easily packaging, deploying, and managing scalable and reliable microservices. If you want to build and operate scalable, distributed apps, then Azure Fabric is a perfect solution. It runs as a series of microservices and allows you to deploy your own microservice-based applications and systems. With the help of DASVM's Azure Service Fabric courses, you can learn to simplify building and managing microservice applications quickly and deliver low latency and improved efficiency at enormous scale. Our course curriculum covers all the concepts to gain real-time proficiency in fundamentals of Microsoft azure fabric, online transaction processing services, reliable service frameworks, building a service fabric application, deployment, management of service fabric clusters, creating and configuring listeners, etc. Moreover with comprehensive training helps to gain expertise in this comprehensive field so as to accomplish your daily tasks for ease.
Course Objectives:
This Microsoft Azure Fabric training can help you learn the following skills:
- Get introduced to Azure Service Fabric and know about this integrated platform, future compatible model, and the need for orchestration.
- Find out the basic and advanced aspects of fabric for operations, fabric as a development platform, and more.
- Familiarize yourself with service fabric essentials, including cluster-based topology, system structure, service and actor interfaces, and more.
- Know everything about system interaction modes, hosting, service listeners, application, service, and more.
- Learn everything about microservices concepts, anatomy of microservices, containers, and more.
- Understand state management, stateless services and actors, service fabric state, reliable collections, etc.
- Comprehend the basics of migration, microservices, iterative strategies, and preparation.
- Grasp everything related to reliable services, defining service interfaces, creating and configuring listeners, and API services for external access.
Course content
Introduction to Microsoft Fabric
- Overview of Microsoft Fabric
- Key features and capabilities
- Use cases and benefits
Microsoft Fabric Developer Roles and Responsibilities
- Comparison with other data engineering services
- Overview of the major roles performed by a Microsoft Fabric developer
- Responsibilities in data engineering, data integration, data warehousing, real-time analytics, data science, and business intelligence
Tools and Services in Microsoft Fabric
- Introduction to the various tools and services available in Microsoft Fabric
- Lake House
- Shortcuts
- SQL End Points
- Data Warehouse
- Data Factory Pipelines
- Data Flow Gen2
- Notebooks
- Apache Spark
- Spark Job Definitions
- Real-Time Analytics
- Data Science
- Power BI
- Data Activator
Subscription Management in Microsoft Fabric
- How to create a subscription to Microsoft Fabric
- Exploring subscription options and settings in Microsoft Fabric
Workspace Creation and Management in Microsoft Fabric
- How to create and manage workspaces in Microsoft Fabric
- Workspace configurations and settings
Lake House in Microsoft Fabric
- Introduction to the Lake House concept
- Creating a Lake House in Microsoft Fabric
- Exploring options and features in Lake House
- Uploading files to the Lake House
- Loading data from Azure Data Lake Gen2 to the Lake House
- Loading data from Azure SQL Database to the Lake House
- Loading data from on-premises SQL to the Lake House
- Loading data using Data Flow Gen2
- Loading data into the Lake House using Data Factory Pipelines
- Loading data into the Lake House using Notebooks
Shortcuts in Microsoft Fabric
- Understanding Shortcuts in the Lake House
- How to create shortcuts
- Querying data using shortcuts in the Lake House from various sources
SQL End Points in Microsoft Fabric
- Overview of SQL End Points
- Connecting to SQL End Points
- Writing data on tables in the Lake House using SQL End Points
- Creating visual queries using SQL End Points
- Creating modeling using SQL End Points
- Creating new measures
- Creating new reports using Power BI
Synapse Warehouse in Microsoft Fabric
- Introduction to data warehousing
- Dimensions and Fact Tables in data warehousing
- Star and snowflake schema concepts
- Differentiating dimension and fact tables
- Slowly changing dimensions
- Creating a Data Warehouse in Microsoft Fabric
- Creating tables and relationships in the Data Warehouse
- Creating visual queries in the Data Warehouse
- Copying data from blob storage into the Data Warehouse using Copy Into
- Cross-querying data from the Lake House into the Data Warehouse
- Creating staging tables in the Data Warehouse
- Loading and transforming data from the Lake House to Data Warehouse tables using Data Flow Gen2
- Loading and transforming data from the Lake House to Data Warehouse tables using Data Factory Pipelines
- Loading and transforming data from the Lake House to Data Warehouse tables using Notebooks
- Creating reports using Power BI from the Data Warehouse
Apache Spark, Notebooks, Spark Job Definition and Delta Lake Tables
- Configuring Spark in a Microsoft Fabric workspace
- Writing Py Spark and Spark SQL Notebooks
- Creating Delta Lake Tables in the Lake House using Notebooks
- Using Spark Data Frames to analyze and transform data
- Using Spark SQL to query data in tables and views
- Visualizing data in a Spark notebook
- Running Spark code using Spark Job Definitions
Data Factory Pipelines and Data Flow Gen2
- Exploring Data Factory activities
- Designing pipelines to copy data from on-premises SQL to the Lake House
- Designing pipelines to copy data from Blob Storage to the Lake House
- Designing pipelines to copy data from Data Lake Gen2 to the Lake House
- Designing pipelines to copy data from the Lake House to the Data Warehouse
- Designing pipelines to copy data from HTTPS websites to the Lake House
- Designing Data Flows Gen2 to copy data from the Lake House to the Data Warehouse applying transformations
- Scheduling and monitoring of pipelines
Real-Time Analytics in Microsoft Fabric
- Understanding real-time analytics in Microsoft Fabric
- Exploring all available options in real-time analytics
- Creating a KQL Database
- Loading data into KQL Database tables from files
- Creating KQL queries
- Designing reports using Power BI from KQL queries
Data Science in Microsoft Fabric
- Introduction to data science
- Exploring options available in Microsoft Fabric for data science
- Overview of common machine learning models
- Understanding the data science process
- Identifying the problem statement
- Getting data from various sources
- Preparing data for training
- Training the model using ML Flow
- Generating predictions
Power BI in Microsoft Fabric
- Introduction to Power BI
- Power BI Desktop
- Power BI Online Services
- Power BI Mobile App
- Creating columns and measures using DAX
- Connecting to different data sources
- Designing reports and dashboards
- Different filter types in Power BI
- Implementing bookmarks
- Publishing Power BI reports
- Row-level security
- Gateways in Power BI
- Data refresh schedules in Power BI
- Sharing dashboards with users
End-to-End Project Implementation
- Implementing an end-to-end project using all the tools and services in Microsoft Fabric
To see the full course content Download now
Course Prerequisites
- To enroll in this Microsoft Azure Fabric training, you must have a basic understanding of cloud architecture, cloud computing, virtualization, networking, and databases.
- Apart from that, you should also be familiar with PowerShell, Visual Studio IDE, and C++ Command-Line Interface Coding.
- Knowledge of Building web applications
Who can attend
- This Microsoft Azure Fabric online training is for beginners who wish to create a beneficial career in the field of cloud computing.
- Also, professionals who wish to improve their existing skills can also take this course.
- Azure Developer
Number of Hours: 40hrs
Certification
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- Video Tutorials
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- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
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