Description
This course is designed to help you and your team develop the skills necessary to become the Microsoft Azure Data Engineer and give an uplift to your career.
Azure data engineers are one of the hottest roles in the IT industry. This course is all about preparing you to become an Azure data engineer by going through each and every tool and technology to build your concept with practical hands-on experience.
Why one should become a Data Engineer?
- According to the 2019 dice dot com report, there was an 88 percent year over year growth in the job postings for data engineers which was the highest growth rate among all the technological jobs.
- According to Statista, “The global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in” 2019.
Highlights of course
- Course is completely up-to-date with the latest updates in the Azure Data Engineer world
- Course covers all the skills needed
- Course include
- 40+ hrs of session
- Practical Lab session for each topic
- Quiz – specially designed to verify concepts learned.
- 2 Mock Interview Session
- Real world Project
- Interview Preparation help
- Resume review personally
- Further study material
- Career Guidance
- WhatsApp Group, Telegram Group
- Certification Of Completion By Azurelib.com
- Bonus Session on Snowflake
Course includes:
- Full lifetime access with all future updates
- 30-Day Money-Back Guarantee
- Certificate of course completion
Intended Audience
- Anyone who wants to become an Azure Data Engineer
- Microsoft Azure Data Engineers
- Microsoft Azure Data Scientist
- Database and BI developers
- Database Administrators
- Data Analyst or similar profiles
- On-Premises Database related profiles who want to learn how to implement these technologies in Azure Cloud.
Prerequisites
- Basic Database concepts
Language
- English
Technologies covered in Course
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Azure Data Factory
Azure Databricks
Azure Synapse
Azure Storage
Azure Key Vault
Logic App
Introduction to Cosmos DB
Deepak Goyal is certified Azure Cloud Solution Architect. He is having around decade and half experience in designing, developing and managing enterprise cloud solutions. He is also Big data certified professional and passionate cloud advocate.
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Course Introduction
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Azure Storage Account
- Understand Azure Storage and services
- Lab : Create Azure Storage Account
- Azure Data Lake Storage (ADLS)
- Lab to Create ADLS
- Lab: Create ADLS account
- Understand Azure File Share
- Lab: Azure File Share
- Understand Azure Queue Services
- Lab: Azure Queue Services
- Understand Azure Table Service
- Lab: Azure Table Service
- Lab: Azure Storage Explorer
- Azure Storage Access Keys and SAS token
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Azure Data Factory (ADF)
- Introduction: Azure Data Factory
- Lab: Create Azure Data Factory Account
- Lab: Azure Data Factory Studio Overview
- Understand ADF Components
- Lab: Create Azure Linked Service
- Lab: Create Dataset
- Lab: Create First ADF Pipeline
- Understand: Copy Pipeline vs Incremental Pipeline
- Lab: Copy From Azure SQL DB to ADLS
- Lab: Create Incremental pipeline
- Understand: Dynamic Linked Service and Dataset using Parameters
- Lab: Create Dynamic Linked Service and Dataset
- Understand: Debug vs Trigger
- Lab: Debug and Trigger
- Understand Variable in Azure Data Factory
- Lab: Use Variable in ADF
- Understand: Pipeline Parameters
- Lab: Pipeline Parameters
- Lab: Get MetaData Activity
- Lab: For, if else, switch Activity
- Lab: Processing files from rest api’s to adls
- ADF Monitoring and log analytics
- Integration Runtime
- Lab: ARM template and Git repository setup and creating pull request in ADF
- Understand Dataflow
- Lab: Dataflow
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Azure Databricks (ADB)
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Azure Synapse Analytics
- Understand: Azure Synapse Analytics
- Lab: Create Azure Synapse Analytics Studio Workspace
- Lab: Explore Synapse Studio
- Lab: Create Dedicated SQL Pool and Spark Pool
- Lab: Analyze Data using Dedicated SQL Pool
- Lab: Analyze Data using Apache Spark Notebook
- MPP Architecture
- Storage and Sharding Patterns
- Data Distribution and Distributing Keys
- Loading with SSIS vs PolyBase
- Partitioning
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Azure Monitor
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Key Management
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Logic App
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Cosmos DB
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Mock Interviews
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