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Cloud Analytics with Microsoft Azure

  • Course Code: Cloud - Cloud Analytics with Microsoft Azure
  • Course Dates: Contact us to schedule.
  • Course Category: Cloud Duration: 2 Days Audience: This course is geared for those who wants to get Leverage the power of Azure to get efficient data insights from your big data in real time

Course Snapshot 

  • Duration: 2 days 
  • Skill-level: Foundation-level Cloud Analytics with Microsoft Azure skills for Intermediate skilled team members. This is not a basic class. 
  • Targeted Audience: This course is geared for those who wants to get Leverage the power of Azure to get efficient data insights from your big data in real time 
  • Hands-on Learning: This course is approximately 50% hands-on lab to 50% lecture ratio, combining engaging lecture, demos, group activities and discussions with machine-based student labs and exercises. Student machines are required. 
  • Delivery Format: This course is available for onsite private classroom presentation. 
  • Customizable: This course may be tailored to target your specific training skills objectives, tools of choice and learning goals. 

With data being generated at an exponential speed, organizations all over the world are migrating their infrastructure to the cloud. Application management becomes much easier when you use a cloud platform to build, manage, and deploy your services and applications. Cloud Analytics with Microsoft Azure covers all that you need to extract useful insights from your data. You’ll explore the power of data with big data analytics, the Internet of Things (IoT), machine learning, artificial intelligence, and DataOps. You’ll also delve into data analytics by studying use cases that focus on creating actionable insights from near-real-time data. As you advance, you’ll learn to build an end-to-end analytics pipeline on the cloud with machine learning and deep learning concepts. By the end of this course, you’ll have developed a solid understanding of data analytics with Azure and its practical implementation. 

Working in a hands-on learning environment, led by our Cloud Analytics with Microsoft Azure instructor, students will learn about and explore: 

  • Explore the basics of cloud analytics using Azure 
  • Discover different ways to process and visualize your data easily 
  • Learn to use Azure Synapse Analytics (formerly known as Azure SQL Data Warehouse) to derive real-time customer insights 

Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below 

  • Explore the concepts of modern data warehouses and data pipelines 
  • Discover different design considerations while applying a cloud analytics solution 
  • Design an end-to-end analytics pipeline on the cloud 
  • Differentiate between structured, semi-structured, and unstructured data 
  • Choose a cloud-based service for your data analytics solutions 
  • Use Azure services to ingest, store and analyze data of any scale 

Audience & Pre-Requisites 

This course is geared for attendees with basic Linux and computing skills who wish to Leverage the power of Azure to get efficient data insights from your big data in real time 

Pre-Requisites:  Students should have  

  • Basic to Intermediate IT Skills, Microsoft azure and Machine Learning knowledge 
  • Good foundational mathematics or logic skills 
  • Basic Linux skills, including familiarity with command-line options such as ls, cd, cp, and su 

Course Agenda / Topics 

  1. Introducing Analytics on Azure 
  • The Power of Data 
  • Big Data Analytics 
  • Internet of Things (IoT) 
  • Machine Learning and Artificial Intelligence 
  • DataOps 
  • Why Microsoft Azure? 
  • Top Business Drivers for Adopting Data Analytics on the Cloud 
  • Why Do You Need a Modern Data Warehouse? 
  • Creating a Data Pipeline 
  • Smarter Applications 
  1. Building Your Modern Data Warehouse 
  • What is a Modern Data Warehouse? 
  • Azure Synapse Analytics 
  • Azure Data Factory 
  • Azure Data Lake Storage Gen2 
  • Azure Databricks 
  • Quick Start Guide 
  1. Processing and Visualizing Data 
  • Azure Analysis Services 
  • Power BI 
  • Quick Start Guide (Data Modeling and Visualization) 
  • Machine Learning on Azure 
  • Azure Machine Learning Services Features and Benefits 
  • Quick Start Guide (Machine Learning) 
  1. Introducing Azure Synapse Analytics 
  • What is Azure Synapse Analytics? 
  • Why do we need Azure Synapse Analytics? 
  • The Modern Data Warehouse Pattern 
  • Deep Dive into Azure Synapse Analytics 
  • New Preview Features 
  • Upcoming Changes 
  1. Business Use Cases 
  • Use Case 1: Real-Time Customer Insights with Azure Synapse Analytics 
  • The Problem 
  • Design Brainstorming 
  • The Solution 
  • Azure Services 
  • Insights and Actions 
  • Use Case 2: Using Advanced Analytics on Azure to Create a Smart Airport 
  • The Problem 
  • Design Brainstorming 
  • The Solution 
  • Azure Services 
  • Insights and Actions 
  • Conclusion 
  1. Azure Modern Data Warehouse Life Cycle 
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