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Last updated: Jun 13, 2022

Introduction to Big Data

Welcome to the introduction to Big data!!! Here you will learn what is Big data? The actual definition of Big data. Big data is the combination of all types of data such as structured, semi-structured, and unstructured data collected using various methods and organizations This data or Big data can be further processed to fetch information, which is further used in machine learning techniques and training various models that depend on this data, in deep learning and data analysis projects. Big data is very helpful in doing predictive analysis or modeling. Why is it so? Big data means there is a large amount of data that is collected using methods. These methods are reliable and very advanced, thus the data received is quite accurate and the information obtained from this can give us very good results and we can predict the outcomes of related tasks. This one application of Big data is quite useful and a key reason why we or most people learn Big data. I hope this would be a good experience and keep learning.
What is Big Data?
In this article, we have discussed Big Data in detail. We have also briefly explained different types of data,5V of Big Data, and Big Data applications.

Types of Big Data

What are actually the types of data that you would be dealing with? One needs to have a clear idea about the big data types which he will be working with and how to work each time of data. This article will cover such types of big data types and also compare them as well. We will also see if these data types can be further integrated and if so and into what and what are those integrated data types.
Structured Data
In this article, we will study in detail the structured data. We will learn about different types of structured data and their importance.
Sources of Big Structured Data
In this article, we have discussed Big Structured Data in detail. We have also briefly explained different sources of Big Structured Data.
Unstructured Data EASY
This blog covers the concepts of Unstructured Data.
Unstructured Data EASY
This article will discuss the theory about sources of Unstructured Data
Role of CMS in big Data management Organizations EASY
This blog covers the concept of the role of CMS in big data management organizations.
Semi-structured Data EASY
This blog covers the concepts of semi-structured data.
Difference between Structured, Semi-structured and Unstructured data EASY
This article will brief you on the difference between structured, semi-structured and unstructured data.
Real-time and Non-real time requirements EASY
This article will brief you on the big data topics of real-time and non-real time requirements

Big Data Technology Components

We have various technology components that are associated with big data directly or indirectly. But what are these actually? we will be explaining these under this article and how these components use big data.
Big Data Stack
This blog will cover the Big data Stack and what is big data and its model, components, environment requirements, and layers of Big Data Stack.
Redundant Physical Infrastructure
This article will briefly discuss big data, managing big data, and redundant physical infrastructure.
Layer 0: Redundant Physical Infrastructure EASY
In this article, we will discuss about Layer 0, that is, the Redundant Physical Infrastructure of Big Data Stack, in detail.
Security Infrastructure
In this article, we will learn about the Security Infrastructure in Big Data Stack.
Layer1: Security Infrastructure
In this blog, We have discussed the Level 1 Security Infrastructure of Big Data Environment.
Operational Databases EASY
This blog will discuss the concepts of relational and non-relational databases with reference to Big Data Analysis.
Operational Databases- Part 2 EASY
In this blog we will discuss various types of databases that are used in the software industry.
Layer3: Organizing Data Services and Tools EASY
This blog will introduce Organizing Data Services and various tools required in Big Data and the various tools used for it.
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Layer4: Analytical Data Warehouses EASY
This blog will introduce the Layer4 data warehouse, which is the Analytical Data warehouse.
REST EASY
In this article, we will discuss about REST, that is, Representational State Transfer, in detail.
Big Data Analytics EASY
In this article, we will discuss about Big Data Analytics and its perks, in detail.

Virtualization Concepts

Here we will talk about the concept of making something virtually the same as the original version. We will explain how virtualization is helpful when dealing with big data.
Virtualization EASY
In this article, we extensively discuss virtualization, its properties, advantages, and its uses(applications).
Basics of Virtualization EASY
In this blog, we will be studying the basics of Virtualization and its implementation in big data.
The Importance of Virtualization to Big Data
In this blog, we will learn about why data virtualization is necessary, its characteristics, its features, and its advantages.
Virtualization in Server EASY
In this article, we extensively discuss Server Virtualization, its properties, advantages, disadvantages, and uses(applications).
Application Virtualization
In this article, we extensively discuss Application Virtualization, its properties, advantages, drawbacks, and uses(applications).
Network Virtualization
This article will discuss Virtualization in detail, how it supports cloud computing and some introduction to network virtualization.
Processor and Memory Virtualization
In this blog, we will learn about Processor and Memory Virtualization and how it optimizes and increases performance.
Data and Storage Virtualization
In this blog, we will learn about data and storage virtualization with their applications and types and different storage virtualization methods.
Management and security Challenges with Virtualization
In this article, we will discuss Virtualization and How It Supports Distributed Computing, Management and security challenges with virtualization.
Managing Virtualization with Hypervisor EASY
In this blog, we will discuss managing Virtualization with Hypervisor.
Abstraction and Virtualization EASY
This article discusses Abstraction and Virtualization.
Implementation of Big data virtualization
This blog covers the concepts of big data virtualization.
Data Virtualization Capabilities EASY
In this article, we will discuss the concept of data virtualization. Also, we will learn the capabilities of data virtualization.
Data Virtualization Use Cases EASY
In this blog, we will learn about Data Virtualization and its use cases.
Data Virtualization vs Data Federation EASY
In this blog, We will learn about the difference between data virtualization and data federation.
Data Virtualization Vs Data Lake EASY
In this article, we will learn and understand the differences between Data Lake and Data Virtualization methods.
Data Virtualization Vs. Data Integration EASY
This article discusses Data Virtualization Vs. Data Integration.
Data Virtualization Architecture EASY
In this blog, we will be studying all about Data Virtualization Architecture in detail.
Data Virtualization Tools EASY
In this blog, we will learn about Data Virtualization Tools.

Cloud and Big Data

When talking about big data, usually the concept of the cloud is brought up. We all visualize how the cloud is helpful when dealing with big data. This article covers these concepts of the cloud and shows the cloud deployment models and delivery models. We will be covering cloud in big data deeply so sit tight and take notes.
Cloud in the context of the Big data
This blog will help you know more about the importance of the cloud in Big data. First, we will learn what is cloud computing and cloud delivery models and how Big data plays a role in it.
Cloud Deployment Models in Big data
In this blog, we will learn about Cloud Deployment Models in Big data.
Cloud Delivery Models EASY
A cloud delivery model represents a specific, pre-packaged combination of computing resources offered by a cloud provider.
Cloud Characteristics for Big Data EASY
This blog discusses the characteristics of Cloud computing that are helpful for Big Data
IaaS in Public Cloud
This blog will cover IaaS in Public Cloud. IaaS is infrastructure-as-a-service and we will focus mainly on its role in the public cloud and its advantages.
PaaS in Private Cloud EASY
This blog discusses PaaS in the private Cloud and the services it offers.
Saas in Hybrid Cloud EASY
In this blog, we will learn about Hybrid Cloud and Saas.
Examining Cloud For Big Data Deployment EASY
This blog explains the careful use of the Cloud in context with Big Data.

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.