Getting Started with Apache Flink
Getting Started with Apache Flink, available at Free, has an average rating of 4, with 18 lectures, based on 9 reviews, and has 1260 subscribers.
You will learn about Architecture of Apache Flink Distributed Execution Job Manager & Task Manager How to install & download flink on different machines This course is ideal for individuals who are Students, Programmers, Learners It is particularly useful for Students, Programmers, Learners.
Enroll now: Getting Started with Apache Flink
Summary
Title: Getting Started with Apache Flink
Price: Free
Average Rating: 4
Number of Lectures: 18
Number of Published Lectures: 18
Number of Curriculum Items: 18
Number of Published Curriculum Objects: 18
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Architecture of Apache Flink
- Distributed Execution
- Job Manager & Task Manager
- How to install & download flink on different machines
Who Should Attend
- Students, Programmers, Learners
Target Audiences
- Students, Programmers, Learners
Apache Flink is an open source, native analytic database for Apache Hadoop. It is shipped by vendors such as Cloudera, MapR, Oracle, and Amazon. The examples provided in this course have been developing using Cloudera Apache Flink. This course is intended for those who want to learn Apache Flink.
Apache Flink is used to process huge volumes of data at lightning-fast speed using traditional SQL knowledge.
To make the most of this course, you should have a good understanding of the basics of Hadoop and HDFS commands. It is also recommended to have a basic knowledge of SQL before going through this course.
Apache Flink is the next generation Big Data tool also known as 4G of Big Data.
It is the true stream processing framework (doesn’t cut stream into micro-batches).
Flink’s kernel (core) is a streaming runtime which also provides distributed processing, fault tolerance, etc.
Flink processes events at a consistently high speed with low latency.
It processes the data at lightning fast speed.
It is the large-scale data processing framework which can process data generated at very high velocity.
Flink is an alternative to MapReduce, it processes data more than 100 times faster than MapReduce. It 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.
Course Curriculum
Chapter 1: Introduction to Apache Flink
Lecture 1: What is Apache Flink
Lecture 2: History of Apache Flink
Lecture 3: Architecture of Apache Flink
Lecture 4: Features of Apache Flink
Lecture 5: Distributed Execution
Lecture 6: Job Manager
Lecture 7: Task Manager
Lecture 8: Job Client
Lecture 9: Download JDK
Lecture 10: Set Path on Enviro. Variables
Lecture 11: Downloading Flink
Lecture 12: Installation Of Flink
Lecture 13: Download VM ware workstation player & ubuntu Iso image
Lecture 14: Installation of VMware workstation player
Lecture 15: Ubuntu Installation
Lecture 16: Ubuntu Installation Part-2
Lecture 17: Multiple Java Installation
Lecture 18: Installation of Flink on Ubuntu
Instructors
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Anurag Kaushik
Hi there I am here to share my knowledge to the world.
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- 2 stars: 0 votes
- 3 stars: 4 votes
- 4 stars: 3 votes
- 5 stars: 2 votes
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