Published 07/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 5 lectures (1h 53m) | Size: 726.2 MB
Concepts of Bigdata and different SPARK Components
What you’ll learn
Will learn Bigdata from basic level
Will get strong knowledge on respective domain
Will be able to do coding as per requirements
Will be helpfull to crack interview
Requirements
Basic SQL knowledge
Description
People who would like to start their career on Bigdata domain, these course will help you for that. By going through this course, they will learn Bigdata concept from beginner to advance level with coding knowledge.
Different component of bigdata which are booming now-a-days, have been explained in details in individual video.
In this course, you will get the information mentioned below
1. Bigdata and Hadoop Concepts
2. Introduction of Apache Spark
3. RDD Concepts and Programming
4. DataFrame concepts
5. Pyspark using pycharm
a> In Bigdata and Hadoop Concepts video, you will learn what is Bigdata from grass root level, and slowly you will learn about coding concept as well as Hadoop concepts in advance level.
b> In Introduction of Apache Spark video, you will learn why Apache Spark came and what is the advantage of using SPARK over Hadoop. Also you will learn whole architecture view of APACHE SPARK
c>In RDD Concepts and Programming video, you will learn one of the SPARK component RDD from basic level. And slowly you will learn about coding concepts on RDD also
d> In DataFrame concepts, you will learn how DataFrame concepts overcame the hardles of RDD. And by using DataFrame, Programmers are very flexible to do the code using any of the language (Python / Scala / SPARK SQL)
e> In Pyspark using pycharm video, you will learn to implement pyspark code using pycharm application, which is one of the most demanding platform now.
This will help them to crack interview also.
Who this course is for
Beginner on Bigdata
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