lastID = -279221
Skip to main content Skip to top navigation Skip to site search
Top of page
  • My citations options
    Web Back (from Web)
    Chicago Back (from Chicago)
    MLA Back (from MLA)
Close action menu

You need to login to use this feature.

Please wait a moment…
Please wait while we update your results...
Please wait a moment...
Description: Access Water
Context Menu
Description: A Quick Definition of Big Data
A Quick Definition of Big Data
  • Browse
  • Compilations
    • Compilations list
  • Subscriptions
Tools

Related contents

Loading related content

Workflow

No linked records yet

X
  • Current: 2020-02-23 13:17:48 Adam Phillips
  • 2020-01-31 18:59:35 Administrator
  • 2020-01-31 18:59:34 Administrator
Description: Access Water
  • Browse
  • Compilations
  • Subscriptions
Log in
0
Accessibility Options

Base text size -

This is a sample piece of body text
Larger
Smaller
  • Shopping basket (0)
  • Accessibility options
  • Return to previous
Description: A Quick Definition of Big Data
A Quick Definition of Big Data

A Quick Definition of Big Data

A Quick Definition of Big Data

  • New
  • View
  • Details
  • Reader
  • Default
  • Share
  • Email
  • Facebook
  • Twitter
  • LinkedIn
  • New
  • View
  • Default view
  • Reader view
  • Data view
  • Details

This page cannot be printed from here

Please use the dedicated print option from the 'view' drop down menu located in the blue ribbon in the top, right section of the publication.

screenshot of print menu option

Description: A Quick Definition of Big Data
A Quick Definition of Big Data
Abstract
Modern utilities are focused on regulatory compliance and cost-effective investments and operations. Ongoing advances in collection, management and analysis of data provide new tools like Big Data for addressing both goals. Big Data is famously described in terms of volume, variety, and velocity (Laney, 2001), where:Volume refers to the depth and breadth of data collected; andVariety refers to the increasing number of types and formats of data available; andVelocity refers to the speed at which data are acquired and processed.This description is often referred to as the “3 V’s” of big data. Analysts have since added more V’s, particularly veracity – the quality and trustworthiness of the data – and value (IBM, 2015).
Modern utilities are focused on regulatory compliance and cost-effective investments and operations. Ongoing advances in collection, management and analysis of data provide new tools like Big Data for addressing both goals. Big Data is famously described in terms of volume, variety, and velocity (Laney, 2001), where:
Author(s)
Theodore A.D Slawecki
SourceProceedings of the Water Environment Federation
SubjectResearch Article
Document typeConference Paper
PublisherWater Environment Federation
Print publication date Sep, 2016
ISSN1938-6478
DOI10.2175/193864716819715626
Volume / Issue2016 / 5
Content sourceWEFTEC
Copyright2016
Word count121

Purchase price $11.50

Get access
Log in Purchase content Purchase subscription
You may already have access to this content if you have previously purchased this content or have a subscription.
Need to create an account?

You can purchase access to this content but you might want to consider a subscription for a wide variety of items at a substantial discount!

Purchase access to 'A Quick Definition of Big Data'

Add to cart
Purchase a subscription to gain access to 18,000+ Proceeding Papers, 25+ Fact Sheets, 20+ Technical Reports, 50+ magazine articles and select Technical Publications' chapters.
Loading items
There are no items to display at the moment.
Something went wrong trying to load these items.
Description: A Quick Definition of Big Data
A Quick Definition of Big Data
Pricing
Non-member price: $11.50
Member price:
-279221
Get access
-279221
Log in Purchase content Purchase subscription
You may already have access to this content if you have previously purchased this content or have a subscription.
Need to create an account?

You can purchase access to this content but you might want to consider a subscription for a wide variety of items at a substantial discount!

Purchase access to 'A Quick Definition of Big Data'

Add to cart
Purchase a subscription to gain access to 18,000+ Proceeding Papers, 25+ Fact Sheets, 20+ Technical Reports, 50+ magazine articles and select Technical Publications' chapters.

Details

Description: A Quick Definition of Big Data
A Quick Definition of Big Data
Abstract
Modern utilities are focused on regulatory compliance and cost-effective investments and operations. Ongoing advances in collection, management and analysis of data provide new tools like Big Data for addressing both goals. Big Data is famously described in terms of volume, variety, and velocity (Laney, 2001), where:Volume refers to the depth and breadth of data collected; andVariety refers to the increasing number of types and formats of data available; andVelocity refers to the speed at which data are acquired and processed.This description is often referred to as the “3 V’s” of big data. Analysts have since added more V’s, particularly veracity – the quality and trustworthiness of the data – and value (IBM, 2015).
Modern utilities are focused on regulatory compliance and cost-effective investments and operations. Ongoing advances in collection, management and analysis of data provide new tools like Big Data for addressing both goals. Big Data is famously described in terms of volume, variety, and velocity (Laney, 2001), where:
Author(s)
Theodore A.D Slawecki
SourceProceedings of the Water Environment Federation
SubjectResearch Article
Document typeConference Paper
PublisherWater Environment Federation
Print publication date Sep, 2016
ISSN1938-6478
DOI10.2175/193864716819715626
Volume / Issue2016 / 5
Content sourceWEFTEC
Copyright2016
Word count121

Actions, changes & tasks

Outstanding Actions

Add action for paragraph

Current Changes

Add signficant change

Current Tasks

Add risk task

Connect with us

Follow us on Facebook
Follow us on Twitter
Connect to us on LinkedIn
Subscribe on YouTube
Powered by Librios Ltd
Powered by Librios Ltd
Authors
Terms of Use
Policies
Help
Accessibility
Contact us
Copyright © 2024 by the Water Environment Federation
Loading items
There are no items to display at the moment.
Something went wrong trying to load these items.
Description: WWTF Digital Boot 180x150
WWTF Digital (180x150)
Created on Jul 02
Websitehttps:/­/­www.wef.org/­wwtf?utm_medium=WWTF&utm_source=AccessWater&utm_campaign=WWTF
180x150
Theodore A.D Slawecki. A Quick Definition of Big Data. Alexandria, VA 22314-1994, USA: Water Environment Federation, 2018. Web. 15 Oct. 2025. <https://www.accesswater.org?id=-279221CITANCHOR>.
Theodore A.D Slawecki. A Quick Definition of Big Data. Alexandria, VA 22314-1994, USA: Water Environment Federation, 2018. Accessed October 15, 2025. https://www.accesswater.org/?id=-279221CITANCHOR.
Theodore A.D Slawecki
A Quick Definition of Big Data
Access Water
Water Environment Federation
December 22, 2018
October 15, 2025
https://www.accesswater.org/?id=-279221CITANCHOR