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.

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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.

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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

Anurag Kaushik
Hi there I am here to share my knowledge to the world.

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4 stars: 3 votes

5 stars: 2 votes

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