Getting Started with Apache Flink
Learn Apache Flink: a powerful stream processing framework. Build real-time data pipelines & analytics. Master Flink's core concepts & applications.
Course Content
Getting Started with Apache Flink is a beginner-level Udemy course taught by Anurag Kaushik. It runs 54m and is taught in English. Learners rate it 3.9 out of 5 from 17 reviews, with 1,419 students enrolled. It is free to enroll, first published November 2022.
Learn Apache Flink: Real-Time Big Data Processing
Unlock the power of Apache Flink, the leading open-source, native analytics database for Apache Hadoop. This course is designed for anyone eager to master Apache Flink and harness its capabilities for high-performance data processing. You'll discover how to process massive data volumes at lightning-fast speed using your existing SQL knowledge.
What is Apache Flink?
Apache Flink is often referred to as the next generation of Big Data tools, sometimes even called 4G of Big Data. It's a powerful stream processing framework that distinguishes itself by processing data streams continuously, without breaking them into micro-batches. This ensures unparalleled speed and efficiency.
Key Benefits of Apache Flink:
- True Stream Processing: Flink processes data as a continuous stream, unlike systems that rely on micro-batching.
- High-Speed Performance: Experience consistently high processing speeds with minimal latency. Flink processes data at lightning fast speed.
- Scalability & Fault Tolerance: Flink's core is a streaming runtime providing robust distributed processing and fault tolerance.
- Big Data Processing: Designed for large-scale data processing, capable of handling data generated at extremely high velocity.
- Faster than MapReduce: Apache Flink processes data over 100 times faster than traditional MapReduce frameworks.
Apache Flink and Hadoop:
While independent of Hadoop, Apache Flink seamlessly integrates with the Hadoop ecosystem. It can readily read, write, and store data in HDFS and other distributed storage systems. Flink doesn't include its own data storage; it leverages existing distributed storage solutions.
Prerequisites:
To get the most out of this course, a foundational understanding of Hadoop and HDFS commands is recommended. A basic grasp of SQL is also beneficial.
Vendor Support:
Apache Flink is widely adopted and supported by major technology vendors including Cloudera, MapR, Oracle, and Amazon. Examples within this course are developed using Cloudera Apache Flink.
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