Spark Structured Streaming 3.0 : All You Need to Know

Get to hands on from the first hour and travel through the concepts and details to emerge out master at the end
4.33 (26 reviews)
Udemy
platform
English
language
Other
category
instructor
Spark Structured Streaming 3.0 : All You Need to Know
1 160
students
2.5 hours
content
Aug 2020
last update
$29.99
regular price

Why take this course?

🌟 Course Title: Spark Structured Streaming 3.0: All You Need to Know

🚀 Course Headline: Dive into the World of Real-Time Data Processing with Apache Spark! Get hands-on from the first hour and travel through the concepts and details to emerge out a master at the end.


🏫 About the Course:

In today's fast-paced world, the ability to process data in real-time is not just an advantage but a necessity for many industries. Apache Spark, with its latest iteration 3.0, has set new benchmarks in stream processing. This course is designed to demystify the complexities of Apache Spark and its Structured Streaming capabilities.

📚 What You'll Learn:

  • Fundamental Concepts: Understand the core differences between batch and stream processing. Get familiar with the programming model and APIs specific to stream processing.
  • In-Depth Insights: Explore the inner workings of Spark Structured Streaming, including its powerful features and capabilities.
  • Hands-On Experience: Engage in a series of practical examples and exercises that will bring the concepts to life.
  • Real-World Application: Learn how to process real-time data from various sources like Kafka, Flume, and Amazon Kinesis using Spark 3.0 on cloud environments.
  • Best Practices & Challenges: Navigate through the common challenges and best practices associated with stream processing.
  • Capstone Use Case: Apply your newfound knowledge to a comprehensive use case, solidifying your understanding of how Structured Streaming works in a real-world scenario.

🛠️ Why Spark 3.0?

Spark 3.0 is the latest version, packed with improvements and enhancements that make it even more efficient for real-time data processing. By learning with Spark 3.0, you'll be well-prepared to tackle the challenges of modern data engineering and analytics.

🌐 Course Features:

  • Structured Curriculum: Learn in a logical sequence, starting from the basics and progressing towards advanced use cases.
  • Expert Instructor: Be guided by Amit Ranjanc, an experienced course instructor with a deep understanding of Spark and its ecosystem.
  • Interactive Learning: Engage with the content through quizzes, coding exercises, and real-time data processing scenarios.
  • Flexible Learning: Access course materials anytime, anywhere, fitting your learning into your busy schedule.
  • Community Support: Join a community of like-minded learners and share insights or get help when needed.

🎉 Who Should Take This Course?

This course is perfect for:

  • Data Engineers who want to leverage the power of Spark Structured Streaming in their projects.
  • Data Scientists looking to process real-time data efficiently and effectively.
  • Developers interested in expanding their skill set with stream processing using Apache Spark.
  • Anyone interested in big data technologies and how they can be used for immediate, actionable insights from data streams.

📅 Enroll Now & Start Your Journey Towards Mastering Real-Time Data Processing with Apache Spark Structured Streaming 3.0!

Let's embark on this exciting learning journey together and unlock the potential of real-time data processing! 🚀💻

Course Gallery

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Spark Structured Streaming 3.0 : All You Need to Know – Screenshot 3
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3282874
udemy ID
30/06/2020
course created date
14/05/2022
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