ElasticSearch and Lucene for Apache Spark and MLib
3.5 (1 rating)
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.
6 students enrolled
Wishlisted Wishlist

Please confirm that you want to add ElasticSearch and Lucene for Apache Spark and MLib to your Wishlist.

Add to Wishlist

ElasticSearch and Lucene for Apache Spark and MLib

Working with ElasticSearch and Lucene for Apache Spark and MLib
3.5 (1 rating)
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.
6 students enrolled
Created by Ashok M
Last updated 3/2017
English
Curiosity Sale
Current price: $10 Original price: $20 Discount: 50% off
30-Day Money-Back Guarantee
Includes:
  • 1 hour on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Will come to know Elastic search
  • About spark
  • About Lucene
View Curriculum
Requirements
  • You should have basic knowledge of Hadoop
  • Basic knowledge of Computers
  • Basics of Database terminology like database,nosql database
Description

Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Elasticsearch is developed in Java and is released as open source under the terms of the Apache License. Official clients are available in Java, .NET (C#), Python, Groovy and many other languages. Elasticsearch is the most popular enterprise search engine followed by Apache Solr, also based on Lucene.
It is developed alongside a data collection and log parsing engine called Logstash, and an analytics and visualization platform called Kibana. The three products are designed to be used as an integrated solution, referred to as the "ELK stack".

Who is the target audience?
  • This course is for students and Bigdata developers
  • This course is for Architects
  • This course is for Managers
Students Who Viewed This Course Also Viewed
Curriculum For This Course
7 Lectures
01:07:11
+
Introduction
6 Lectures 39:28

Lucene and Example-1
07:30

LuceneExample-2
03:41


MachineLearning and ElasticSearch
10:10

MachineLearning and Elastic Search Example
06:53
+
Hive With EMR
1 Lecture 27:43
Hive with EMR RealTime usecase
27:43
About the Instructor
Ashok M
2.4 Average rating
61 Reviews
337 Students
29 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