Apache Parquetfile format
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Apache Parquetfile format

Cloumnar Storage Format in Hadoop and more efficient to store JSON data in Spark,Hbase applications
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.
3 students enrolled
Created by Ashok M
Last updated 3/2017
English
Current price: $10 Original price: $20 Discount: 50% off
5 hours left at this price!
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Includes:
  • 37 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Able to create hive tables with parquet format
  • Basic knowledge of Azure
  • Learning about parquet
View Curriculum
Requirements
  • You should have basic knowledge of SQL and hadoop knowledge
  • Basic knowledge of Hadoop
  • Basic knowledge of java
Description

This course mainly explains about what is parquet format,advantages of it and how to create hive table with parquet format in Cloudera.Eventhough we have so many formats,Parque is unique format and mostly used in different frameworks,languages along with Hadoop. It is now the biggest table stored in our Hadoop cluster, which currently takes 270TB of HDFS storage (810TB in raw storage after 3 replications), and serves as the primary source of data for most of the higher level aggregated tables.It is especially good for queries which read particular columns from a “wide” (with many columns) table, since only needed columns are read and IO is minimized.It is so useful for all students and Bigdata developers who want to learn about apache parquet.

Course is very useful for all developers.


Who is the target audience?
  • This course is for students
  • This is for all Managers
  • This course is for all developers
  • This is for all Architects
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Curriculum For This Course
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Introduction
3 Lectures 37:06
About the Instructor
Ashok M
2.4 Average rating
61 Reviews
327 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