Microsoft Azure Data Factory Certification Training Course

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Microsoft Azure Data Factory Course Overview

Certification training for Microsoft Azure includes learning how to use Microsoft Azure Data Solution. Participants taking part in this Microsoft Azure Data Factory training will learn how to integrate and replicate data by utilizing Hive and Spark, as well as gain knowledge of Microsoft Azure SQL Data Warehouse, Azure Data Lake Analytics, Azure Data Factory, and Azure Stream Analytics. In addition, candidates will get an understanding of these services. You will acquire all of the knowledge necessary concerning Azure Data Factory v2 by completing this Microsoft Azure Data Factory certification course. 

Azure Data Factory training is provided by the best Microsoft Azure specialists. As part of this Microsoft Azure Data Factory course, you'll learn about real-world applications of data factories and data lakes, as well as how to work with them. The Participants will gain a thorough understanding of how to build Azure Data Solutions, as well as process and protect data, as a result of this. Data lakes and data factories are among the concepts you will learn about. Check out the dates below to enrol in this Microsoft Azure Data Factory certification course today.

The 1-on-1 Advantage

Methodology

Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option

4-Hour Sessions

You will learn:

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
  • 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
  • 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
  • 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
  • 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.
  • 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.
Live Online Training (Duration : 40 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

3250 + If you accept merging of other students.
4 Hours
8 Hours
Ultra-Fast Track
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
2800 Per Participant
Online
12 - 16 Dec
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
16 - 20 Jan
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
06 - 10 Feb
09:00 AM - 05:00 PM CST
(8 Hours/Day)
Course Prerequisites

Participants who are looking to take up Microsoft Azure Data Factory training should have a working knowledge of challenges relating to the design and implementation of data warehouses, data lakes, factories and stream analytics in Azure SQL Data Warehouse and Azure Data Factory.

  • The ability to use business intelligence effectively is a must-have skill set.
  • PowerShell with Azure should be second nature to you.
  • Desirable: A working knowledge of Hive/Pig/JSON scripting
  • Several years of data integration experience.
  • Experience with Azure DBaaS platforms spanning several years

Those seeking training in ETL and architecture will find this comprehensive Azure Data Factory course very useful. You will learn how to use Microsoft Cloud Services to perform Big Data Engineering in this Microsoft Azure Data Factory course. ETL, Data Warehouse (DWH), and Data Mashups/Data Flow are all covered in this Azure Data Factory Training, which uses SQL Server as well as Azure SaaS components.

This Microsoft Azure Data Factory online course includes demonstration lectures to help you better understand what you're learning. A greater understanding of Azure's core components will allow users to reap the benefits of the platform. The SQL database migrations, Azure Storage, Azure Data Warehouse (ADW), Incremental Loads, and Power Query topics will all be covered in one single real-time project that is included in this Azure Data Factory Training course (PQ). This Microsoft Azure Data Factory is delivered as a 5-day instructor-led training across various learning modes, which include classroom, live online, onsite, and 1-on-1 training.

Key Features of this Microsoft Azure Data Factory Certification Training

  • 5-day Instructor-led Microsoft Azure Data Factory Certification Training
  • Get free access to the Microsoft Azure Data Factory course preview to better prepare for the training
  • Microsoft Accredited Azure Data Factory course material prepared by SMEs
  • Expert Microsoft Azure instructors with expertise across industry sectors worldwide
  • Get hands-on experience through Microsoft Azure Data exercises and lab sessions 
  • Widely acknowledged Microsoft Azure Data Factory training course completion certificate provided
  • Microsoft Azure Data Factory training provided across 100+ locations globally

Who can take up Microsoft Azure Data Factory Certification Training?

Individuals who can take up Microsoft Azure Data Factory online training include, but are not limited to:

  • Data Engineers
  • ETL Developers
  • Data Architects
  • Data Integration Engineers
  • IT Professionals
  • Data Management Professionals
  • Data Analysts
  • SQL Database Professionals
  • Database Managers
  • Database Developers
  • Aspiring Database Professionals
  • Professionals who are looking to understand everything about Microsoft Azure Data Factory
  • Professionals who are looking to sit for the DP-203 certification exam

Azure Data Factory Training Exam Format 

There is no direct exam for this Azure Data Factory Certification Training. However, participants can prepare DP-203 certification exam through this training.

The average cost of the Microsoft DP-203 certification exam is USD 165. The validity of the Microsoft DP-203 certificate credential is for one year, and professionals have to get them renewed every year.

Learning Objectives of Microsoft Azure Data Factory Training

Azure Data Factory and Azure SQL Database are included as part of this course's BUNDLE, allowing students to get the most out of their time. To prepare for the Azure Data Engineer certification (DP-203) exam, this Microsoft Azure Data Factory course covers all aspects of ADF technology.

The Microsoft Azure Data Factory certification course includes six hands-on instructor-led labs. ADF v2 ideas can be practiced and prepared for real-world Azure data integration projects by using these. 

As a result, Azure Data Factory is the platform of choice for handling such data. You may orchestrate and automate the transport and transformation of data in the cloud with this service, which is cloud-based. Data-driven workflows (called pipelines) can be created and scheduled using Azure Data Factory, which ingests data from a variety of sources. 

After finishing this Microsoft Azure Data Factory course, you will be able to:

  • Know the characteristics, ideas, and prerequisites that must be met before beginning the process of building data flows.
  • Get familiar with the fundamentals of data flows and the most prevalent data flow scenarios.
  • Acquire an understanding of how to implement data flows inside Microsoft Azure services such as Azure SQL Databases, Azure Data lake, Azure Data bricks, Azure Data Factory, Azure Monitoring services, and Azure HD Insights.

Using Azure Data Factory, you can coordinate the copying and transformation of data between various relational and non-relational data sources housed in the cloud or at your own data centres to meet the needs of your organization.

 

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