Data Engineering

This course will guide you through every single step from installation to finished website. I'll show you…

20
60 Days
(4.00)

– Learn: Explore design principles, wireframing, and prototyping.

– Enhance: Master tools like Figma, Adobe XD, and Sketch.

– Apply: Create user-centric designs for websites and mobile apps.

– Develop: Build a portfolio and pursue roles as UI/UX Designer or Product Designer.

Course info –

Azure Data Engineering involves designing, building, and managing data solutions on Microsoft’s Azure platform. It focuses on integrating, transforming, and consolidating data from various sources—structured, unstructured, and streaming—into formats suitable for analytics and decision-making.

What will you learn?

As a Data engineer, you work on tasks such as:

How to collect and combine data from various sources using Azure Data Factory and similar tools.
Techniques for cleaning, transforming, and preparing data using tools like Azure Databricks or Synapse Analytics.
Understanding storage options like Azure Data Lake, Azure SQL Database, and Cosmos DB.
Building efficient, scalable, and secure pipelines to move and process data.
Preparing data for analytics, machine learning models, and visualization tools like Power BI.
Learning to navigate the Azure portal, manage resources, and ensure cost efficiency.
Hands-on experience with big data technologies and designing modern data solutions like data lakes or warehouses.
Best practices for securing sensitive data and complying with industry regulations.

These skills are highly sought after in the growing fields of data science, analytics, and cloud computing. Are you considering stepping into this field, or do you have a specific use case in mind? Let me know!

Duration – 60 days

New Batch – Every 3^rd Monday

Course Curriculum

Cloud Computing Concepts

What is the “Cloud”?
Why cloud services
Types of cloud models
Types of cloud services
Infrastructure as a Service
Platform as a Service
Software as a Service
Comparing Cloud Platforms
Characteristics of cloud computing
Cloud Data Warehouse Architecture
Shared Memory architecture
Shared Disk architecture
Shared Nothing architecture

Core Azure services

Core Azure Architectural components
Core Azure Services and Products
Azure solutions
Azure management tools

Security, Privacy, Compliance

Securing network connectivity
Core Azure identity services
Security tools and features
Azure Governance methodologies
Monitoring and reporting
Privacy, compliance, and data protection standards
Azure support options

Azure Pricing and Support

Azure subscriptions
Planning and managing costs
Azure Service Level Agreements (SLAs)
Azure support options
Service Lifecycle in Azure

Azure SQL Database

Introduction Azure SQL Database
Comparing Single Database
Managed Instance
Creating and Using SQL Server
Creating SQL Database Services
Azure SQL Database Tools
Migrating on premise database to SQL Azure
Purchasing Models
DTU service tiers
vCore based Model
Serverless compute tier
Service Tiers
Deployment of an Azure SQL Database
Elastic Pools
What is SQL elastic pools
Creating a New Pool
Manage Pools
Monitoring and Tuning Azure SQL Database
Configure SQL Database Auditing
Export and Import of Database
Automated Backup
Point in Time Restore
Restore deleted databases
Long-term backup retention
Active Geo Replication
Auto Failover Group

Azure Storage Service

Storage Service and Account
Creating a Storage Account
Standard and Premium Performance
Understanding Replication
Hot, Cold and Archive Access Tiers
Working with Containers and Blobs
Types of Blobs
Block Blobs
Append Blobs
Page Blobs
Blob Metadata
Soft Delete
Azure Storage Explorer
Access blobs securely
Access Key
Account Shared Access Token
Service Shared Access Token
Shared Access Policy
Storage Service Encryption
Azure Key Vault

Azure Data Lake

Introduction to Azure Data Lake
What is Data Lake?
What is Azure Data Lake?
Data Lake Architecture?
Working with Azure Data Lake
Provisioning Azure Data Lake.
Explore Data Lake Analytics
Explore Data Lake Store
Uploading Sample File
Using Azure Portal
Using Storage Explorer
Using Azure CLI

Azure Data Factory

What is Data Factory?
Data Factory Key Components
Pipeline and Activity
Linked Service o Data Set
Integration Runtime Provision Required Azure Resources
Create Resource Group
Create Storage Account
Provision SQL Server and Create Database
Provision Data Factory

Working with Copy Activity

Understanding Data Factory UI
Copy Data from Blob Storage to SQL Database
Copy data from storage account to storage account
Create Linked service o Create Dataset
Create Pipeline ∙ Integration Service
Copy Data from on-premise SQL Server to Blob Storage Working with Activities
Understanding Lookup Activity
Understanding for Each Activity
Filter Activity
Get Metadata Activity Azure
Lift and Shift
Provisioning Azure – SSIS Integration Runtime
Execute SSIS Packages from Azure
Execute SSIS Packages from SSISDB Triggers,
Monitoring Pipeline
Debug Pipeline
Trigger pipeline manually
Monitor pipeline
Trigger pipeline on schedule

Practical Scenarios and Use Cases

ADF Introduction
Important Concepts in ADF
Create Azure Free Account for ADF
Integration Runtime and Types
Integration runtime in ADF-Azure IR
Create Your First ADF
Create Your First Pipeline in ADF
Azure Storage Account Integration with ADF
Copy multiple files from blob to blob
Filter activity __ Dynamic Copy Activity
Get File Names from Folder Dynamically
Deep dive into Copy Activity in ADF
Copy Activity Behavior in ADF
Copy Activity Performance Tuning in ADF
Validation in ADF
Get Count of files from folder in ADF
Validate copied data between source and sink in ADF
Azure SQL Database integration with ADF
Azure SQL Databases – Introduction Relational databases
Creating Your First Azure SQL Database
Overwrite and Append Modes in Copy Activity
Full Load in ADF
Copy Data from Azure SQL Database to BLOB in ADF
Copy multiple tables in Bulk with Lookup & For Each in Data Factory
Logging and Notification Azure Logic Apps
Log Pipeline Executions to SQL Table using ADF
Custom Email Notifications Send Error notification with logic app
Use For each loop activity to copy multiple Tables- Step by Step Explanation
Incremental Load in ADF
Incremental Load or Delta load from SQL to Blob Storage in AD
Multi Table Incremental Load or Delta load from SQL to Blob Storage
Incrementally copy new and changed files based on Last Modified Date
Azure Key Vault integration with ADF
Azure Key Vault, Secure secrets, keys & certificates in Azure Data
ADF Triggers:
Event Based Trigger in ADF
Tumbling window trigger dependency & parameters
Schedule Trigger
Self Hosted Integration Runtime
Copying On Premise data using Azure Self Hosted integration Runtime
Data Migration from On premise SQL Server to cloud using ADF
Load data from on premise sql server to Azure SQL DB
Data Migration with polybase and Bulk insert
Copy Data from sql server to Azure SQL DW with polybase & Bulk Insert
Data Migration from On premise File System to cloud using ADF
Copy Data from on-premise File System to ADLS Gen2
To Copying data from REST API using ADF
Loop through REST API copy data TO ADLS Gen2-Linked Service Parameters
AWS S3 integration with ADF
Migrate Data from AWS S3 Buckets to ADLS Gen2
Activities in ADF
Switch Activity-Move and delete data
Until Activity-Parameters & Variables
Copy Recent Files From Blob input to Blob Output folder without LPV
Snowflake integration with ADF
Copy data from Snowflake to ADLS Gen2
Copy data from ADLS Gen2 to Snowflake
Azure Cosmos DB integration with ADF
Copy data from Azure SQLDB to Cosmos DB
Copy data from blob to cosmosDB
Advanced Concepts in ADF
Nested For Each -pass parameters from Master to child pipeline
High Availability of Self Hosted IR &Sharing IR with other ADF
Data Flows Introduction
Azure Data Flows Introduction
Setup Integration Runtime for Data Flows
Basics of SQL Joins for Azure Data Flows
Joins in Data Flows
Aggregations and Derive Column Transformations
Joins in Azure DataFlows
Advanced Join Transformations with filter and Conditional Split
Data Flows – Data processing use case1
Restart data processing from failure
Remove Duplicate Rows &Store Summary Credit Stats
Difference Between Join vs.Lookup Transformation & Merge Functionality
Dimensions in Data Flows
Slowly Changing Dimension Type1 (SCD1) with HashKey Function
Flatten Transformation
Rank, Dense_Rank Transformations
Data Flows Performance Metrics and Data Flow Parameters
How to use pivot and unpivot Transformations
Data Quality Checks and Logging using Data Flows
Batch Account Integration with ADF
Custom Activity in ADF
Azure Functions Integration with ADF
Azure HDInsight Integration with ADF
Azure HDInsight with Spark Cluster
Azure Databricks Integration with ADF
ADF Integration with Azure Databricks
Azure Data Lake Analytics integration with ADF

Student Ratings & Reviews

4.0

Total 2 Ratings

6 years ago

Very good course, great structure, really easy to follow. Have gone back and forth many times to check on some issues arising on my site. Also very handy to see what kind of plugins are available to serve different purposes.

6 years ago

Excellent feel good fit for my I study and install accounting software. However wow a lot of stuff covered here. For me great. For a lot of others beginners may be a little over whelming. Again for me extremely helpful. I study software in chunks.