Getting Started with Apache Zookeeper
Getting Started with Apache Zookeeper, available at $49.99, has an average rating of 4, with 50 lectures, based on 5 reviews, and has 41 subscribers.
You will learn about Zookeeper Architecture & Quorums getData, setData Method Zookeeper API Master-Worker Application This course is ideal for individuals who are Professionals aspiring to make a career in Big Data Analytics using ZooKeeper framework. It is particularly useful for Professionals aspiring to make a career in Big Data Analytics using ZooKeeper framework.
Enroll now: Getting Started with Apache Zookeeper
Summary
Title: Getting Started with Apache Zookeeper
Price: $49.99
Average Rating: 4
Number of Lectures: 50
Number of Published Lectures: 50
Number of Curriculum Items: 50
Number of Published Curriculum Objects: 50
Original Price: ₹999
Quality Status: approved
Status: Live
What You Will Learn
- Zookeeper Architecture & Quorums
- getData, setData Method
- Zookeeper API
- Master-Worker Application
Who Should Attend
- Professionals aspiring to make a career in Big Data Analytics using ZooKeeper framework.
Target Audiences
- Professionals aspiring to make a career in Big Data Analytics using ZooKeeper framework.
ZooKeeper is a distributed co-ordination service to manage large set of hosts. Co-ordinating and managing a service in a distributed environment is a complicated process. ZooKeeper solves this issue with its simple architecture and API. ZooKeeper allows developers to focus on core application logic without worrying about the distributed nature of the application.
ZooKeeper is a distributed co-ordination service to manage large set of hosts.
The ZooKeeper framework was originally built at “Yahoo!” for accessing their applications in an easy and robust manner. Later, Apache ZooKeeper became a standard for organized service used by Hadoop, HBase, and other distributed frameworks. For example, Apache HBase uses ZooKeeper to track the status of distributed data. This course explains the basics of ZooKeeper, how to install and deploy a ZooKeeper cluster in a distributed environment, and finally concludes with a few examples using Java programming and sample applications.
This course has been prepared for professionals aspiring to make a career in Big Data Analytics using ZooKeeper framework. It will give you enough understanding on how to use ZooKeeper to create distributed clusters.
Before proceeding with this course, you must have a good understanding of Java because the ZooKeeper server runs on JVM, distributed process, and Linux environment.
Course Curriculum
Chapter 1: Module 1
Lecture 1: Why we Need Zookeeper
Lecture 2: What zookeeper Do
Lecture 3: Some Examples where Zookeeper is Useful
Lecture 4: How the World Survived without ZooKeeper
Lecture 5: Origin of the Name Zookeeper
Lecture 6: What is Zookeeper and What ZooKeeper Doesn’t Do
Lecture 7: Building Distributed Systems with ZooKeeper
Lecture 8: Master-Worker Application
Lecture 9: Master Failures
Lecture 10: Worker Failuresv
Lecture 11: Communication Failure
Lecture 12: Exactly-Once and At-Most-Once Semantics
Lecture 13: Why Is Distributed Coordination Hard
Chapter 2: Module 2
Lecture 1: Zookeeper Basics
Lecture 2: API Overview
Lecture 3: Different Modes for Znodes
Lecture 4: Watches and Notification
Lecture 5: Versions
Lecture 6: Zookeeper Architecture
Lecture 7: Zookeeper Quorums
Lecture 8: Sessions
Lecture 9: Getting Started With Zookeeper
Lecture 10: Setting up First Zookeeper Session
Lecture 11: States and Lifetime of a Session
Lecture 12: ZooKeeper With Quorums
Lecture 13: Implementing a Primitive
Lecture 14: Implementation of a Master Worker Example
Lecture 15: Workers, Tasks and Assignments
Lecture 16: The Worker Role
Lecture 17: The Client Role
Chapter 3: Module 3
Lecture 1: Zookeeper API
Lecture 2: Creating a Zookeeper Session
Lecture 3: Connecting to the Zookeeper
Lecture 4: Creating a Znode
Lecture 5: Checking the Existence of a Znode
Lecture 6: getData Method
Lecture 7: setData Method
Lecture 8: getChildren Method
Lecture 9: Deleting a Znode
Chapter 4: Module 4
Lecture 1: Dealing with State Change
Lecture 2: One Time Triggers
Lecture 3: How to Set Watches
Lecture 4: Watches as a Replacement for Explicit Cache Management
Lecture 5: A Common Pattern
Lecture 6: Master Worker Example
Chapter 5: Module 5
Lecture 1: Dealing with Failure
Lecture 2: Recoverable Failures
Lecture 3: The Exists Watch and the Disconnected Event
Lecture 4: Unrecoverable Failures
Lecture 5: Leader Election and External Resources
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: 1 votes
- 3 stars: 1 votes
- 4 stars: 1 votes
- 5 stars: 2 votes
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