Big Data

The concept of Big Data refers to large volumes of data that traditional management tools are unable to store or process efficiently.

Learn More

With IoT, information can be gathered at a faster, and more accurate rate which would produce a greater result. Companies such as Facebook, YouTube, Google, and Amazon all collect and analyze data from users to improve their platform, whether the user may be more prone to purchase to creating models for new technologies they are developing. It has been used to save lives and reduce damage by predicting storms. It is important to understand that details are pointless to collect unless utilized with a purpose and meaning. Thus, leading to the concept of the five V’s.

Big data contains five characteristics, Volume, Velocity, Variety, Veracity and Value which are often referred to as the five V’s. The first of the Vs, Volume refers to a large amount of information. The amount of details required to be considered as big data is constantly changing, with new technologies emerging, the definition changes with it. In 1999, 1GB or one gigabyte of data was considered as big data, however in modern times. The volume is to be large enough that a normal data management tool is unable to process with efficiency.

The Second V, Velocity, is the speed of which the input is coming in. With all the figures, features and statistics, it is required to be processed, managed, and eventually used to some purpose. Companies such as Facebook and Twitter gather large quantities of information daily by using IoT devices which are linked to the cloud. That statistics will eventually be processed and used to help boost their company or develop new applications.

Variety, the third V, refers to the type of information. There are three types of data, structured, semi-structured and unstructured. These can come in all forms ranging from excel spreadsheets to log files and even images. Structured types are organized to have a certain set of formatting, generally set in a relational database or tables such as SQL whereas its counterpart, unstructured data are unorganized that doesn’t conform to any requirements and generally can’t be stored in rows and columns. Unorganized data comes in the form varying from text to audio. The final type, semi-structured, are sets of information that contain a certain rule, however, do not have a fixed schema. Semi-structured types are also included, but are not limited to XML, JSON, non-relational databases, and log files.

Veracity, the fourth V, is the accuracy and trustworthiness of the detailed information. In big data, removing bias, inconsistent or duplicate evidence will result in a better data set. By doing so, the accuracy of the data will improve, resulting in a more valuable set of documentation. With IoT applications, the cleanup of essential details is reduced because there is no human interaction interfering. According to IBM, businesses lose $3.1 trillion annually due to poor data quality.

The final V, Value is the purpose of the detail statistics. Companies may utilize their documentation to improve their technology or help reduce costs. For companies such as Tesla, their information is used to improve their automated driving features whereas for medical companies such as Pfizer, they may use their previous and new particulars to create a new vaccine. With the increasing growth of big data, we gain new insights on unforeseeable events, technologies, improve the effectiveness of companies and ways of living.

 

Infinity Basic Walkthrough | Project Management Tool 
Infinity Basic Walkthrough | Project Management Tool 
Samuel

560 views April 1, 2023

Free IT Capstone Project with Proposal and Complete Documentation 2022 
Free IT Capstone Project with Proposal and Complete Documentation 2022 
Samuel

475 views February 9, 2023

Track Document changes in email 
Track Document changes in email 
Samuel

456 views February 6, 2023

Track changes online
Track changes online
Samuel

483 views February 6, 2023

Word 2013: Getting Started
Word 2013: Getting Started
Zane

455 views February 4, 2023

Scroll Documents for Confluence – Crash Course
Scroll Documents for Confluence – Crash Course
video5

487 views February 3, 2023

Shenzhen Chainway Information Technology – Tracking System 
Shenzhen Chainway Information Technology – Tracking System 
video5

505 views February 3, 2023

Excel: Document Tracking Changes
Excel: Document Tracking Changes
Samuel

452 views January 18, 2023

The NBA Data Scientist
The NBA Data Scientist
video1

123 views July 17, 2022

IBM On The Importance Of Open Source Data For Oil And Gas industry
IBM On The Importance Of Open Source Data For Oil And Gas industry
video1

87 views July 9, 2022

How Does Data Center Infrastructure Function?
How Does Data Center Infrastructure Function?
video1

99 views July 9, 2022

NEC Products
NEC Products
video1

93 views June 24, 2022

Modern Manufacturing Concepts
Modern Manufacturing Concepts
video1

84 views June 24, 2022

Data Marketing Solutions
Data Marketing Solutions
video1

94 views June 21, 2022

Data Lakes Difference in Frameworks
Data Lakes Difference in Frameworks
video1

115 views June 21, 2022

Time tracker to accel your team activity
Time tracker to accel your team activity
video1

79 views June 14, 2022

Data Warehouse for Business and NetSuit Community
Data Warehouse for Business and NetSuit Community
video1

96 views June 14, 2022

COVID 19: Capstone and Research Ideas
COVID 19: Capstone and Research Ideas
video1

121 views June 10, 2022

AdWords API DevBytes Episode 1: Why Use The AdWords API?
AdWords API DevBytes Episode 1: Why Use The AdWords API?
video1

79 views June 7, 2022

Digital Twin Overview
Digital Twin Overview
video1

84 views June 6, 2022

North Door: Creating Cloud-Based and Power BI Solutions 
North Door: Creating Cloud-Based and Power BI Solutions 
video1

81 views May 28, 2022

Accessing T&B Church Database System 
Accessing T&B Church Database System 
video1

132 views May 28, 2022

Today’s RCBC Online Banking
Today’s RCBC Online Banking
video1

134 views May 21, 2022

The IoT Workflow
The IoT Workflow
video1

80 views May 18, 2022

Stock Data Time a New Update of Excel
Stock Data Time a New Update of Excel
video1

120 views May 18, 2022

Integrating Users with AI
Integrating Users with AI
video1

89 views May 16, 2022

An Introduction to Google Dorks
An Introduction to Google Dorks
video1

84 views May 16, 2022

Kaggle: The Best Algorithm for a given Company’s Data Set
Kaggle: The Best Algorithm for a given Company’s Data Set
video1

81 views May 16, 2022

Variable versus capital expense
Variable versus capital expense
video1

91 views May 15, 2022

The Aim of Gluent Data Platform
The Aim of Gluent Data Platform
video5

83 views May 15, 2022

Six-step framework for implementing compatibility with IoT technology
Six-step framework for implementing compatibility with IoT technology
video1

103 views May 14, 2022

Delta Room Cool: Precision Cooling While Saving Energy
Delta Room Cool: Precision Cooling While Saving Energy
video1

75 views May 9, 2022

Cybersecurity: Ferrari and Kaspersky
Cybersecurity: Ferrari and Kaspersky
video1

74 views May 9, 2022

Why IBM is so Successful
Why IBM is so Successful
video1

126 views May 9, 2022

IBM and KONE IoT: Creating Smart Buildings
IBM and KONE IoT: Creating Smart Buildings
video1

119 views May 9, 2022

Networks in IoT: Broadband Access
Networks in IoT: Broadband Access
video1

133 views May 9, 2022

Jitbit Software: Creating Macro Reader
Jitbit Software: Creating Macro Reader
video1

99 views May 9, 2022

What is Delta POD Solution
What is Delta POD Solution
video1

90 views April 20, 2022

Differences Between Cloud-Based Platforms And Onsite Data Centers
Differences Between Cloud-Based Platforms And Onsite Data Centers
video1

97 views March 24, 2022

Data Lake vs Data Warehouse
Data Lake vs Data Warehouse
video1

86 views March 22, 2022