Azure Stream Analytics - Step by Step Guide (DP-200)

Learn how to process real time data using Azure stream analytics. Ideal for Beginners
4.29 (12 reviews)
Udemy
platform
English
language
IT Certification
category
instructor
Azure Stream Analytics - Step by Step Guide (DP-200)
90
students
2 hours
content
Jun 2021
last update
$49.99
regular price

Why take this course?

🌟 Course Title: Azure Stream Analytics - Step by Step Guide (DP-200)

🚀 Course Headline: Embark on a Journey to Master Real-Time Data Processing with Azure Stream Analytics! Perfect for Beginners. 🚀


Unlock the Power of Real-Time Data with Azure Stream Analytics! 💧➡️⚡

Welcome to our comprehensive online course designed to introduce you to the world of real-time data processing using Azure Stream Analytics. Whether you're a beginner looking to dive into the realm of big data or an aspiring Azure Data Engineer preparing for certification (DP-200 & DP-201), this course will equip you with the necessary skills and knowledge.

What You'll Learn:

  • Understanding the Basics: Gain a solid foundation in stream analytics, its applications, and the Azure ecosystem.

    • What is Stream Analytics?
    • Real-time vs. Batch Processing
    • Use cases of Stream Analytics
  • Hands-On Learning: Engage with practical, hands-on sessions that will have you applying concepts in real-world scenarios.

    • Setting up your Azure Account and Environment
    • Creating a basic stream analytics job
    • Integrating data sources and sinks
  • Deep Dive into Core Concepts: Explore advanced topics and features of Azure Stream Analytics.

    • Query Language (CSL) Fundamentals
    • Scaling, Performance Tuning, and Management
    • Alerts and Notifications Configuration
  • Preparing for Certification: Get a focused understanding of the DP-200 & DP-201 Azure Data Engineer exam content.

    • Exam Strategy and Tips
    • Review of Key Exam Topics
    • Practice Questions and Sample Exams

Course Benefits:

  • Expert Instruction: Learn from Amit Navgire, an experienced course instructor with a knack for simplifying complex concepts.
  • Real-World Application: Apply what you learn through practical exercises that mirror real-world scenarios.
  • Certification Focus: Tailored content to ensure you are well-prepared for the Azure Data Engineer certification exams.
  • Flexible Learning: Access course materials at your own pace, from anywhere in the world.

Course Structure:

  1. Introduction to Stream Analytics

    • What is Stream Analytics and why it's essential in a data-driven world.
    • Overview of Azure services related to stream analytics.
  2. Setting Up Your Environment

    • Navigating the Azure portal.
    • Creating and configuring your first Azure Stream Analytics job.
  3. Working with Data

    • Connecting various data sources (IoT Hub, Event Hubs).
    • Understanding sinks and how to output data (Blobs, Databases, etc.).
  4. Processing Data in Real-Time

    • Writing your first Stream Analytics job query.
    • Tuning queries for performance optimization.
  5. Scaling and Managing

    • Understanding the scalability features of Azure Stream Analytics.
    • Managing and monitoring stream analytics jobs.
  6. Real-Time Alerts and Notifications

    • Setting up alerts based on real-time data conditions.
    • Configuring notifications to stay informed about your stream analytics job's status.
  7. Exam Preparation

    • A deep dive into the DP-200 & DP-201 exam blueprints.
    • Strategies for effective exam preparation and execution.

Join Us Today! 🎓

Embark on your learning journey with Azure Stream Analytics - Step by Step Guide (DP-200) and transform the way you handle real-time data. Sign up now and start mastering Azure Stream Analytics at your own pace, with guidance from an expert instructor and a community of like-minded learners.

Let's dive into the world of real-time analytics together! 🤝💻

Loading charts...

Related Topics

3502428
udemy ID
15/09/2020
course created date
16/09/2020
course indexed date
Bot
course submited by
Azure Stream Analytics - Step by Step Guide (DP-200) - | Comidoc