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
Instructor: Edcorner Learning
Language: English
Education Level: Introductory to Advanced
Number of Lessons: 36
Duration of Education: 18 hours and 40 minutes