Azure Corparate Trainning

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Azure Training Course

Azure Solutions Architect (AZ-300) is designed to help you prepare for the Microsoft Azure Architect Technologies (AZ-300) Exam – Part of Azure Solutions Architect Badge (Expert-level). You will be able to choose appropriate Azure Architectures and design patterns. This will enable you to implement advanced networking configurations, plan authentication and security of the infrastructure, use PaaS solutions and Storage Services.


Corporate Training

✓ 180 days of access to high-quality, self-paced learning content designed by industry experts

✓ Flexible pricing options


✓ Enterprise grade Learning Management System (LMS)


✓ Enterprise dashboards for individuals and teams


 

 

✓ Pricing for - Course, Category, and all-course-access

✓ Enterprise-class learning management system (LMS)

✓ Enhanced reporting for individuals and teams

✓ 24x7 teaching assistance and support

 

 

 

 

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Azure Training Course Curriculum

Module 1

✅What is Stream Analytics?

✅Get started with Azure Stream Analytics to process data from IoT devices

 

 

 

Module 2

✅Data connection


✅Event Processing Ordering Design Choices for Azure Stream Analytics


✅Stream Analytics outputs: Options for storage, analysis

Module 3

✅Machine Learning integration in Stream Analytics

✅Performing sentiment analysis by using Azure Stream Analytics and Azure Machine Learning

✅Machine Learning-based anomaly detection in Azure Stream Analytics

Module 4

✅What is Diagnostics logs

✅Enabling Diagnostics logs

✅Diagnostics logs Categories

✅Data Errors

✅Generic Events

 

 

 

 

Module 5

✅Stream Analytics Query Language Reference

✅Built-in Functions (Azure Stream Analytics)

✅Data Types (Azure Stream Analytics)

✅TIMESTAMP BY (Azure Stream Analytics)

✅Event Delivery Guarantees
(Azure Stream Analytics)

✅How to achieve exactly-once delivery for SQL output

Module 6

✅Introduction to Azure Data Lake Store

✅Get started with Azure Data Lake Store using the Azure portal

✅Copy data to and from Data Lake Storage Gen1 by using Data Factory

✅Tuning Azure Data Lake Store for performance

 

 

 

Module 7

✅Overview of Microsoft Azure Data Lake Analytics

✅Get started with Azure Data Lake Analytics using Azure portal

✅Manage Azure Data Lake Analytics by using the Azure portal

✅Manage Jobs using the Azure portal

Module 8

✅Azure Data Lake Analytics Quota Limits


✅Azure Data Lake Developer Tools

✅Troubleshoot Azure Data Lake Analytics jobs using Azure Portal

✅Use Job Browser and Job View for Azure Data lake Analytics jobs

Module 9

✅U-SQL programmability guide


✅Develop U-SQL user-defined operators (UDOs)

✅Extending U-SQL Expressions with User-Code

✅Get started with the U-SQL Catalog

Module 10

✅Develop U-SQL scripts by using Data Lake Tools for Visual Studio

✅Connect to an Azure Data Lake Analytics account

✅Extend U-SQL scripts with Python code in Azure Data Lake Analytics

✅Get started with the Cognitive capabilities of U-SQL

✅Registering Cognitive Extensions in U-SQL

✅Setup Azure Data Lake Analytics federated U-SQL queries to Azure SQL Database

Module 11

✅Transform data by running U-SQL scripts on Azure Data Lake Analytics

✅Azure Data Lake & Azure HDInsight Blog

✅Directly store streaming data into Azure Data Lake with Azure Event Hubs

 

 

 

 

 

Module 12

✅ Distributed tables in Azure SQL Data Warehouse

✅Table Categories in Azure SQL Data Warehouse

✅Schema & Different Tables in Azure SQL Data Warehouse

✅Common distribution methods for tables

✅Columnstore indexes Key Terms & Concepts


✅Columnstore indexes Use Cases

Module 13

✅PolyBase and Azure Data Lake

 

 

 

 

Module 14

✅PolyBase to access to Non relational data

 

 

 

 

Module 15

✅Introduction to Azure Data Factory

✅How Does Data Factory Works

✅Key Components in Data Factory

✅Relationship Between Data Factory Entities

✅Azure Data Factory pipelines

Azure FAQs