A Basic Guide to Apache Flink for Beginners
Description
Apache Flink is an open source platform for distributed stream and batch data processing. It can run on Windows, Mac OS and Linux OS. In this blog post, let’s discuss how to set up Flink cluster locally. It is similar to Spark in many ways – it has APIs for Graph and Machine learning processing like Apache Spark – but Apache Flink and Apache Spark are not exactly the same.
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Flink is an alternative of MapReduce, it processes data more than 100 times faster than MapReduce. Flink is independent of Hadoop but it can use HDFS to read, write, store, process the data. Flink does not provide its own data storage system. It takes data from distributed storage. The development of Flink is started in 2009 at a technical university in Berlin under the stratosphere. It was incubated in Apache in April 2014 and became a top level project in December 2014. Flink is a German word meaning swift / Agile. The logo of Flink is a squirrel, in harmony with Hadoop ecosystem.
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| Total Students | 5337 |
|---|---|
| Duration | 1 hour |
| Language | English (US) |
| Number of lectures | 18 |
| Number of quizzes | 0 |
| Total Reviews | 171 |
| Global Rating | 3.38 |
| Instructor Name | Inflame Tech |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 1 hour
- Practical value: 6/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
- Real World
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
- Real World
- Practical
- Examples
- Framework
Watch-outs
- Error
- Shallow
- Theory only
Difficulty
Best suited for
New learners starting from zero
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