Microsoft Azure Data Factory Certification Training Course

Microsoft Azure Data Factory Certification Training Course Overview

Enroll for 5 day Microsoft Azure Data Factory training course from Koenig Solutions. In this Microsoft Certification you will learn about how data flows work from beginning to end and understanding the key components available in Azure to design and deploy efficient data flows

Azure Data Factory is a cloud-managed service that is used to orchestrate the data copying between different relational and non-relational data sources, hosted in the cloud or locally in your data centres and transforming it to meet the business requirements. It is a big data service that is responsible for the cloud-based Extract, Transform and Load (ETL), Extract, Load and Transform (ELT) and data ingestion processes using scheduled data-driven workflows.

In this we will learn about Azure SQL Databases, Azure Data lake, Azure Data bricks, Azure Data factory, Azure Monitoring services and Azure HD Insights.

Target Audience:

  • IT professionals who are interested in Azure Data factory
  • Those looking to implement data flows within their organizations.

Learning Objectives:

After completing this course, you will be able to:

  • Review the features, concepts, and requirements that are necessary for designing data flows
  • Learn the basic principles of data flows and common data flow scenarios
  • Understand how to implement data flows within Microsoft Azure
  • Azure SQL Databases, Azure Data lake, Azure Data bricks, Azure Data factory, Azure Monitoring services and Azure HD Insights

Microsoft Azure Data Factory Certification Training Course (Duration : 40 Hours) Download Course Contents

Live Virtual Classroom
Group Training 3150
01 - 05 Nov 09:00 AM - 05:00 PM CST
(8 Hours/Day)

06 - 10 Dec GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)

1-on-1 Training (GTR) 3650
4 Hours
8 Hours
Week Days

Start Time : At any time

12 AM
12 PM

GTR=Guaranteed to Run
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
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Course Modules

Module 1: Azure SQL Databases -
  • Introduction to Azure SQL Database
  • Why chose SQL Server in Azure
  • IAAS Vs PAAS Databases offerings
  • IAAS vs managed instances for databases
  • Deploying SQL Database in Azure
  • Best practices for Azure SQL performance optimization
  • Securing data at rest in SQL databases.
  • Encryption with keys in key vault
  • Disaster recovery options in Azure SQL database
  • Authentication and Integrating with Azure Active Directory
  • Data discovery, masking, classification and Vulnerability assessment in Azure SQL Databases.
  • Available database Migrations options and tools
Module 2: Azure Data lake
  • Azure Data lake vs Hadoop
  • Evolution of Azure data lake Gen2
  • Azure Blob storage vs Data lake differences
  • Hierarchical namespaces
  • Data ingestion tools
  • Migrate data using Azcopy , Azure storage explorer and Data Factory.
  • Migrating data from Azure SQL to Data lake Gen2 using Data factory
  • Data flow around Data lake
  • Data lake and transient clusters
  • Data Processing using HD insights.
  • Explore, analyze, clean and transform.
  • Security layers in Data lake.
  • Usage of Security keys and Shared access signatures
  • Integrating with Azure Active Directory and RBAC
  • Filtering traffic using Azure Firewalls and virtual networks.
  • Encryption of data at transit and at rest
  • Threat protection and Vulnerability assessment
  • Monitoring data lake (Activity log, Metrics, Insights, alerts and diagnostic settings) and optimization
Module 3: Azure Data bricks
  • Spark Basics
  • Evolution of data bricks and difficulty level of Spark
  • Azure Data bricks provisioning, clusters and workbooks
  • Mount Data lake to DBFS (Data Bricks)
  • Explore, Analyze, Clean, transform and load to Azure Data bricks
  • Azure Databricks clusters and its important components.
  • Monitoring Azure Data bricks
  • Best Practices for Using Azure data bricks in production
Module 4: Azure Data factory
  • Understand Azure Data Factory
  • Describe data integration patterns
  • Explain the data factory process
  • Understand Azure Data Factory components
  • Azure Data Factory security
  • Set up Azure Data Factory
  • Set up Azure Data Factory
  • Create datasets
  • Create data factory activities and pipelines
  • Manage integration runtime
  • List the data factory ingestion methods
  • Describe data factory connectors
  • Use the data factory copy activity
  • Deploy a release pipeline
  • Visually monitor pipeline runs
  • Integrate with Azure Monitor
  • Set up alerts
  • Rerun pipeline runs
  • Learn about Azure Data Factory security
  • Azure Data Share and transforming with Azure Data Factory
  • Receive data using Azure Data Share
  • Ingest data into Azure Data Lake Gen 2 using Azure Data Factory
  • Join and transform data with Mapping Flow in Azure Data Factory
  • Publish a pipeline run in Azure Data Factory
Module 5: Azure Monitoring services
  • Configure and view metrics in Azure Monitor
  • Visualize and save data in dashboards
  • Set alerts / Notifications and Action groups
  • Use log queries to interact with data.
Module 6: Azure HD Insights
  • The need for distributed computing
  • Hadoop vs RDBMS
  • Hadoop and HD insights comparison
  • How HDInsight’s makes Hadoop easy
  • Important aspects of HD Insight / Cluster types
  • HDinsight Cluster Architecture
  • Create interactive query cluster.
  • Ambari overview and overview of UI
  • Ingest dataset into Data Lake storage
  • Data Extraction with hive
  • Data transformation with hive
  • Data export using Snoop.
  • Secure operations in HD insights
  • Integrating HD Insights with on premise Active Directory
  • Integrating HD Insights with Azure Active Directory
  • Securing Connections with LDAPS / Communications over port 636
  • Best practices for optimizing performance on HDInsight's.
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Course Prerequisites
  • Basics of Azure cloud platform
  • Understanding of cloud models
  • Ability to move around various azure service's in azure console
  • Understanding of operating systems and basic network models
  • Client server architectures