Download Udemy – Big Data Complete Course 2021-7

Description

Big Data Complete Course is a training course focused on big data or big data published by Udemy Academy. Big data is actually a very large collection of three different types of data, i.e. structured, semi-structured and unstructured data, which are collected by various companies and institutions for specific purposes. Among the most important applications of big data can be mentioned in the fields of machine learning, building predictive models and other specialized and advanced analyses. Today, various systems have been created to collect, store and process big data, and these systems have become a very important part of the data management structure of various companies. These systems are usually equipped with a series of specialized tools for data processing.

Big data has three key characteristics, which are the large amount of data in decentralized environments, different types of data, and the speed and fluctuation of data production, storage and processing. The variety and volume of big data is such that it cannot be structured or sorted by traditional methods. Big data is not only limited to unstructured data, but a large amount of structured data can also be classified in the field of big data. Big data analysis and results can be interpreted in different ways and used by different departments of an organization. There is no specific source for collecting big data, but anything such as user comments, contents of social networks and websites, surveys, etc. can be a source for it.

What you will learn in Big Data Complete Course:

Basic familiarity with the concept of big data
Getting to know the Hadoop analysis platform
Hadoop MapReduce with practical examples
Parallel programming with Spark
Different strategies for leveling and assigning data
Zookeeper
Spark Streaming
Basic concepts of machine learning
Decision tree in big data analysis
Spark GraphX and graph analysis
Technologies and industries related to big data
HDFS distributed file system
Default Spark libraries
CP theory
CQL
Kafka
Different machine learning algorithms
Familiarity with models and predictive analysis
And…

Course details

Publisher: Yodmi
teacher: Edcorner Learning
English language
Training level: introductory to advanced
Number of courses: 36
Training duration: 18 hours and 40 minutes