Introduction to Apache Flink

Apache Flink 1.2    |    Beginner
  • 10 videos | 42m 54s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Apache Flink is a sophisticated framework designed for handling continuous data streams. In this course, explore the essential and advanced features of Apache Flink and how it can be used to achieve real-time data processing, ensure minimal latency, and maintain high throughput. Next, discover Apache Flink's powerful state management, fault tolerance, and scalability capabilities, as well as fraud detection, recommendation engines, and IoT data handling. Finally, compare Apache Flink with other frameworks and real-world use cases where Apache Flink shines. After completion of this course, you will be able to utilize the power of real-time data with Apache Flink.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline apache flink and its core functionality and role in stream processing
    Identify the fundamental concepts of stream processing and how they apply to real-time data processing using apache flink
    Describe apache flink's architecture and its key components, including jobmanager, taskmanager, and state management
    Differentiate apache flink from other popular stream processing frameworks and identify its unique features and advantages
  • Outline the key benefits of apache flink, such as real-time data processing, scalability, and fault tolerance
    Describe the process of installing and configuring apache flink in a local or cloud environment
    Identify the steps for executing a basic apache flink job
    Recognize real-world use cases of apache flink in various industries and how it solves complex stream processing challenges
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 59s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 3m 10s
    Upon completion of this video, you will be able to outline Apache Flink and its core functionality and role in stream processing. FREE ACCESS
  • Locked
    3.  Core Principles of Stream Processing
    5m 7s
    After completing this video, you will be able to identify the fundamental concepts of stream processing and how they apply to real-time data processing using Apache Flink. FREE ACCESS
  • Locked
    4.  Apache Flink Architecture and Components
    7m 35s
    In this video, we will describe Apache Flink's architecture and its key components, including JobManager, TaskManager, and state management. FREE ACCESS
  • Locked
    5.  Apache Flink vs. Other Stream Processing Frameworks
    7m 6s
    Through this video, you will be able to differentiate Apache Flink from other popular stream processing frameworks and identify its unique features and advantages. FREE ACCESS
  • Locked
    6.  The Key Benefits of Apache Flink
    4m 49s
    Upon completion of this video, you will be able to outline the key benefits of Apache Flink, such as real-time data processing, scalability, and fault tolerance. FREE ACCESS
  • Locked
    7.  Setting Up Apache Flink
    3m 45s
    In this video, we will describe the process of installing and configuring Apache Flink in a local or cloud environment. FREE ACCESS
  • Locked
    8.  Running a Sample Flink Job
    3m 48s
    Through this video, you will be able to identify the steps for executing a basic Apache Flink job. FREE ACCESS
  • Locked
    9.  Use Cases of Apache Flink
    5m 12s
    After completing this video, you will be able to recognize real-world use cases of Apache Flink in various industries and how it solves complex stream processing challenges. FREE ACCESS
  • Locked
    10.  Course Summary
    1m 25s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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