Learning Hive,Apache Zookeeper and SAS
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Learning Hive,Apache Zookeeper and SAS

Leveraging Apache Hive to process raw data and ETL operations in Hadoop various environments effectively
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0.0 (0 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
0 students enrolled
Created by ASHOK M
Last updated 9/2017
English
Current price: $10 Original price: $20 Discount: 50% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 30 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • You will learn hive
  • You will learn how to use zookeeper
  • You will learn kafka architecture
  • You will learn how to integrate Hive with Hbase
View Curriculum
Requirements
  • You should have basic knowledge of Linux commands and Core Java
  • You should have interest to learn zookpeer
  • You should have basic knowledge of Bigdata
  • Basic knowledge of Java
Description

ZooKeeper is a replicated synchronization service with eventual consistency. It is robust, since the persisted data is distributed between multiple nodes (this set of nodes is called an "ensemble") and one client connects to any of them (i.e., a specific "server"), migrating if one node fails; as long as a strict majority of nodes are working, the ensemble of ZooKeeper nodes is alive. In particular, a master node is dynamically chosen by consensus within the ensemble; if the master node fails, the role of master migrates to another node.

The master is the authority for writes: in this way writes can be guaranteed to be persisted in-order, i.e., writes are linear. Each time a client writes to the ensemble, a majority of nodes persist the information: these nodes include the server for the client, and obviously the master. This means that each write makes the server up-to-date with the master. It also means, however, that you cannot have concurrent writes.

The guarantee of linear writes is the reason for the fact that ZooKeeper does not perform well for write-dominant workloads. In particular, it should not be used for interchange of large data, such as media. As long as your communication involves shared data, ZooKeeper helps you. When data could be written concurrently, ZooKeeper actually gets in the way, because it imposes a strict ordering of operations even if not strictly necessary from the perspective of the writers. Its ideal use is for coordination, where messages are exchanged between the clients.

Who is the target audience?
  • This course is for all people
  • This course is for students
  • This course is for all Working people
  • This course for all Archtects
Compare to Other Apache Hive Courses
Curriculum For This Course
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Introduction
2 Lectures 06:55
+
Detailed information about Kafka and Spark Integration
6 Lectures 23:06
Compression
02:31

Kafka Architecture
03:41


Hive with SAS
03:11

Zookeeper model
03:15

Zookeeper installation
05:33
About the Instructor
ASHOK M
2.1 Average rating
71 Reviews
387 Students
31 Courses
Architect

I am  Reddy having 10 years of IT experience.For the last 4 years I have been working on Bigdata.
From Bigdata perspective,I had working experience on Kafka,Spark,and Hbase,cassandra,hive technologies.
And also I had working experience with AWS and Java technologies.

I have the experience in desigining and implemeting lambda architecture solutions in bigdata

Has experience in Working with Rest API and worked in various domains like financial ,insurance,manufacuring.

I am so passinate about  new technologies.


BigDataTechnologies  is a online training provider and has many experienced lecturers who will proivde excellent training.

BigDataTechnologies has extensive experience in providing training for Java,AWS,iphone,Mapredue,hive,pig,hbase,cassandra,Mongodb,spark,storm and Kafka.

From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges.

Main objective is to provide high quality content to all students