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Udemy – Big Data Complete Course 2021-7

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Udemy – Big Data Complete Course 2021-7

17 Oct at 7:09 pm

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Description

Big Data Complete Course is a big data or training course focused on Big Data, published by Udemy Academy. Big data is actually a very large collection of three different types of data, namely structured, semi-structured and unstructured data, which is collected by different companies and institutions for specific purposes. Among the most important applications of big data can be mentioned in the fields of machine learning, making predictive models and other specialized and advanced analyzes. Today, various systems have been developed 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 number of specialized tools for data processing.

Big data has three characteristics that are high volume 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 traditional methods can not be structured or arranged in any way. Big data is not limited to unstructured data, but a large amount of structured data can also be classified as big data. Results and big data analysis can be interpreted in different ways and used by different parts of an organization. There is no specific source for collecting big data, but anything such as user comments, social media and website content, polls, etc. can be a source for it.

What you will learn in Big Data Complete Course

Basic introduction to the concept of big data Introduction to 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 Macro Data Analysis Spark GraphX and graph analysis Technologies and industries related to Big Data HDFS distributed file system Default Spark Libraries Theoretical theory CQL Kafka Different machine learning algorithms Familiarity with predictive models and analyzes And…

Course specifications

Publisher: Udemy
Instructors: Edcorner Learning
Language: English
Level: Introductory to Advanced
Number of Lessons: 36
Duration: 18 hours and 40 minutes