Azure Data Lake Storage Training

The Azure Data Factory Storage Integration course is designed to provide comprehensive training on integrating Azure Data Factory (ADF) with Azure Storage services. Participants will learn how to leverage ADF to efficiently move, transform, and process data stored in various Azure Storage services, including Blob Storage, Data Lake Storage Gen2, and Azure SQL Database.

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Course Features

Course Syllabus

Azure Data Lake Storage

Introduction to Azure Data Lake Storage

Features of Azure Data Lake

Data Storage Mechanisms in Azure Data Lake

Understanding the Need for Data Lake

Introduction to Azure Data Lake Gen2

Data Lake Architectural Overview

Data Lakes ,Cosmo DB , and Blob Storage

Basics of Data Lakes

Introduction to Azure Cosmos DB

Why Use Azure Cosmos DB?

Overview of Azure Blob Storage

Importance of Azure Blob Storage

Partitioning Data In Azure

Horizontal, Vertical, and Functional Partitioning

Why is Data Partitioning Vital?

Consistency Levels in Azure Cosmos DB

Relational Data Stores In Azure

Understanding Relational Data Stores

Overview of Azure SQL Database: Deployment Models and Service Tiers

Importance of SQL Database Elastic Pool and Azure SQL

Security Features in Azure SQL

Azure SQL Database High-Availability: Premium and Standard Models

Introduction to Azure Databases: MySQL, PostgreSQL, and MariaDB

Configuring and Connecting to Databases through Azure Portal and MySQL Workbench

Advanced Azure Data Concepts

Introduction to Polybase and its Importance

Overview of Azure Synapse Analytics and its Components

Exploring SQL Pools and Big Data Elements in Azure Synapse

What is Azure Batch? Exploring Tightly Coupled and Intrinsically Parallel Workloads

Working with Azure Batch and its Additional Features

Azure Data Factory

Comparison: SSIS vs Azure Data Factory

Introduction to Data Sets, Linked Services, Pipelines, and Parameters vs Variables

Data Copying, Monitoring, and Deployment in Azure Data Factory

Exploring Various Integration Runtimes and Creating Pipelines

Working with Data: Copying, Appending Variables, Executing Pipelines, and Metadata

Advanced Data Operations: Stored Procedures, Lookup, Filters, Conditional Operations, and more

Deployment: ARM Templates, Code Repositories in GitHub, and Environment-Specific Deployment

Monitoring, Debugging, and Error Handling in Azure Data Factory

Azure Stream Analytics and Data Bricks

Working with Azure Stream Analytics: Advantages, Capabilities, and Windowing Functions

Introduction to Azure Data Bricks and its Association with Apache Spark

Exploring the Azure Spark-based Analytics Platform

Monitoring and Ensuring Security in Azure

Introduction to Azure Monitor: Logs, Metrics, and Their Differences

Data Insights Gathered by Azure Monitor

Core Monitoring Solutions in Azure

Alert Management in Azure: Attributes, Flow, Creation, and States

Azure Security Auditing and Logging Overview

Azure SQL Database Auditing: Database vs Server-Level Policies

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