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Last updated: Jun 13, 2022

Big Data Techniques

Hey Fella, let's see what are the big data techniques. There are many inner concepts of big data or we refer to it as techniques of big data. This includes parallelism, storage, distribution of data, speedy networks, performance computing, and how machine learning is related to big data. You know you can visualize the data as well. It is a whole new concept and helpful in the analysis of your data and is like displaying data on a bar chart or pie chart. This makes it easy to see our data, rather than old excel sheets.
Techniques for Big Data Analysis
In this article, we will discuss about Big Data Analysis techniques and technology.
Massive Parallelism EASY
This article will learn about massive parallelism, its advantages, its architecture, and the major hardware components used.
Huge Data Volumes Storage
This article will learn about ample data storage, its different components, and the impact of machine learning on big data storage.
Data Distribution EASY
This article will learn about big data distribution and how the google file system works. Later, we will discuss Hadoop's big data management.
High-Speed Networks
This blog will study high-speed networks and their advantages in communication sites.
High Performance Computing EASY
In this article, we will discuss high-performance computing. Also will see how high-performance computing (HPC) has contributed to the fields of big data.
Data Mining and Data Analytics
This article teaches data mining and Data Analytics in great detail.
Data Retrieval EASY
In this article, we will learn about big data and data retrieval, the need for data retrieval, and the different data retrieval methods.
Machine Learning in Big Data EASY
In this blog, we’ll study machine learning and big data and how we can combine machine learning with big data.
Data Visualization EASY
In this article, we will learn data visualization in Big Data. Also, will discuss different techniques to visualize the data.