High-Performance Analytics with Hbase,Phoenix
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.
4 students enrolled
Wishlisted Wishlist

Please confirm that you want to add High-Performance Analytics with Hbase,Phoenix to your Wishlist.

Add to Wishlist

High-Performance Analytics with Hbase,Phoenix

Implementing High-Performance ClickStreams Analytics with Hbase and Phoenix
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.
4 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:
  • 39 mins on-demand video
  • 1 Article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • About Phoenix
  • About Hbase
  • How phoenix works with Hbase
View Curriculum
Requirements
  • Basic knowledge of Computers
  • Basics of Database terminology like database,nosql database
Description

HBase is a distributed column-oriented database built on top of the Hadoop file system. It is an open-source project and is horizontally scalable. HBase is a data model that is similar to Google’s big table designed to provide quick random access to huge amounts of unstructured data. It leverages the fault tolerance provided by the Hadoop File System (HDFS).

The components of HBase data model consist of tables, rows, column families, columns, cells and versions. Tables are like logical collection of rows stored in separate partitions. A row is one instance of data in a table and is identified by a rowkey. Data in a row are grouped together as Column Families. Each Column Family has one or more Columns and these Columns in a family are stored together. Column Families form the basic unit of physical storage, hence it’s important that proper care be taken when designing Column Families in table. A Column is identified by a Column Qualifier that consists of the Column Family name concatenated with the Column name using a colon. A Cell stores data and is essentially a unique combination of rowkey, Column Family and the Column (Column Qualifier). The data stored in a cell is versioned and versions of data are identified by the timestamp

Who is the target audience?
  • This course is for students
  • This course is for Bigdata developers
  • This is for all Architects
Students Who Viewed This Course Also Viewed
Curriculum For This Course
+
Introduction
2 Lectures 22:20

Overview of Hbase
21:00
+
Hbase with Phoenix
3 Lectures 16:33
Realtime Usecase DEMO-part1
04:24


Wrapup
00:01
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