SlideShare una empresa de Scribd logo
1 de 11
Descargar para leer sin conexión
Big Data Analytics: Future of Almost
Everything
Department of Computer Applications
School of Physical Sciences
Sikkim University Presented By - :
Robin Gurung
14UCA015
Introduction
Extremely large data sets
that may be analyzed
computationally to reveal
patterns, trends, and
associations, especially
relating to human behavior
and interactions.
is the process of examining large and
varied data sets -i.e., big data -- to
uncover hidden patterns, unknown
correlations, market trends, customer
preferences and other useful
information that can help organizations
make more-informed business
decisions.
Big Data Analytics
Big Data Analytics
Introduction Continued.
•Big data was a serious problem just a few years ago.
When data volumes started skyrocketing in the early
2000s.
•Emerge of Advance Analytics changed the perspective
of users for big data.
•can study big data to understand the current state of
the business and track still-evolving aspects such as
customer behavior.
Introduction continued
• The volume of the big data is calculated in
ZetaBytes(ZB).
early in year 2009 it was 2.3 ZetaBytes.
2.3 X 10,00,000 GB (Gigabytes) = 23,00,000.
As the year passed 2.3 (ZB) produced in single month.
Single week.
Single day.
Single hour.
3 Vs of Big Data
Big Data analytics adoption.
•Roughly three quarters (74%) of organizations
surveyed have adopted some form of analytics today.
•In fact, 40% of survey respondents practice advanced
analytics without big data.
Big Data: Problem or
Opportunity?
•Only 30% consider big data a problem.
•No doubt that big data presents technical
challenges due to its volume, variety, and
velocity.
•Data volume alone is a showstopper for some
organizations.
Big data Analytics
Conclusion: What good is all
of this data?
•Data : As a raw unorganized facts, is in and of itself
worthless.
•Information : Potentially valuable concepts based on
data.
•Knowledge : Is what we understand based upon
Information.
•Wisdom : Is the effective use of Knowledge in decision
making.
References
• https://tdwi.org/research/2011/09/best-practices-report-q4-big-
data-analytics/asset.aspx?tc=assetpg .TDWI survey report of 2009.
• https://www.sas.com/en_in/home.html SAS survey report of 2011.
• Lohr S (2012) The age of big data. New York Times, pp 11 .
• Gantz J, Reinsel D (2011) Extracting value from chaos. IDC iView, pp
1–12.
THANK YOU

Más contenido relacionado

La actualidad más candente

J mc callumbig datapsp2013
J mc callumbig datapsp2013J mc callumbig datapsp2013
J mc callumbig datapsp2013Janice McCallum
 
Quality Approaches to Big Data
Quality Approaches to Big DataQuality Approaches to Big Data
Quality Approaches to Big DataPiet J.H. Daas
 
Top career opportunities in data science
Top career opportunities in data scienceTop career opportunities in data science
Top career opportunities in data scienceTanyaAgarwal71
 
Big data analytics
Big data analyticsBig data analytics
Big data analyticsjeyaperumal
 
Big Data in Education Sector
Big Data in Education SectorBig Data in Education Sector
Big Data in Education SectorKaran Sachdeva
 
E content.1 - P.SENEKA II-MSC COMPUTER SCIENCE,BON SECOURS COLLEGE FOR WOMEN
E content.1 - P.SENEKA II-MSC COMPUTER SCIENCE,BON SECOURS COLLEGE FOR WOMENE content.1 - P.SENEKA II-MSC COMPUTER SCIENCE,BON SECOURS COLLEGE FOR WOMEN
E content.1 - P.SENEKA II-MSC COMPUTER SCIENCE,BON SECOURS COLLEGE FOR WOMENsenekapseneka
 
Carlo Colicchio: Big Data for business
Carlo Colicchio: Big Data for businessCarlo Colicchio: Big Data for business
Carlo Colicchio: Big Data for businessCarlo Vaccari
 
Fundamental of data analytics
Fundamental of data analyticsFundamental of data analytics
Fundamental of data analyticsEhsanMalik17
 
Statistics Assignment Help
Statistics Assignment HelpStatistics Assignment Help
Statistics Assignment Helphwmsocial
 
Data networks and experimentation irc slides
Data networks and experimentation irc slidesData networks and experimentation irc slides
Data networks and experimentation irc slidesNesta
 
eROSA Stakeholder WS1: Big Data and Open Science in agricultural and environm...
eROSA Stakeholder WS1: Big Data and Open Science in agricultural and environm...eROSA Stakeholder WS1: Big Data and Open Science in agricultural and environm...
eROSA Stakeholder WS1: Big Data and Open Science in agricultural and environm...e-ROSA
 
New professional careers in data
New professional careers in dataNew professional careers in data
New professional careers in dataDavid Rostcheck
 

La actualidad más candente (20)

J mc callumbig datapsp2013
J mc callumbig datapsp2013J mc callumbig datapsp2013
J mc callumbig datapsp2013
 
Big data Big impact?
Big data Big impact?Big data Big impact?
Big data Big impact?
 
Quality Approaches to Big Data
Quality Approaches to Big DataQuality Approaches to Big Data
Quality Approaches to Big Data
 
Top career opportunities in data science
Top career opportunities in data scienceTop career opportunities in data science
Top career opportunities in data science
 
Big data analytics
Big data analyticsBig data analytics
Big data analytics
 
Big Data in Education Sector
Big Data in Education SectorBig Data in Education Sector
Big Data in Education Sector
 
E content.1 - P.SENEKA II-MSC COMPUTER SCIENCE,BON SECOURS COLLEGE FOR WOMEN
E content.1 - P.SENEKA II-MSC COMPUTER SCIENCE,BON SECOURS COLLEGE FOR WOMENE content.1 - P.SENEKA II-MSC COMPUTER SCIENCE,BON SECOURS COLLEGE FOR WOMEN
E content.1 - P.SENEKA II-MSC COMPUTER SCIENCE,BON SECOURS COLLEGE FOR WOMEN
 
Big data analytics
Big data analyticsBig data analytics
Big data analytics
 
Carlo Colicchio: Big Data for business
Carlo Colicchio: Big Data for businessCarlo Colicchio: Big Data for business
Carlo Colicchio: Big Data for business
 
Fundamental of data analytics
Fundamental of data analyticsFundamental of data analytics
Fundamental of data analytics
 
Ghani
GhaniGhani
Ghani
 
Data Scientist
Data ScientistData Scientist
Data Scientist
 
Data mining
Data mining Data mining
Data mining
 
Statistics Assignment Help
Statistics Assignment HelpStatistics Assignment Help
Statistics Assignment Help
 
Data networks and experimentation irc slides
Data networks and experimentation irc slidesData networks and experimentation irc slides
Data networks and experimentation irc slides
 
Big Data: Big Opportunity?
Big Data: Big Opportunity?Big Data: Big Opportunity?
Big Data: Big Opportunity?
 
"Big Data" and Business Analytics: Key Requirements for High Business Value R...
"Big Data" and Business Analytics: Key Requirements for High Business Value R..."Big Data" and Business Analytics: Key Requirements for High Business Value R...
"Big Data" and Business Analytics: Key Requirements for High Business Value R...
 
Vikrant data scientist
Vikrant data scientistVikrant data scientist
Vikrant data scientist
 
eROSA Stakeholder WS1: Big Data and Open Science in agricultural and environm...
eROSA Stakeholder WS1: Big Data and Open Science in agricultural and environm...eROSA Stakeholder WS1: Big Data and Open Science in agricultural and environm...
eROSA Stakeholder WS1: Big Data and Open Science in agricultural and environm...
 
New professional careers in data
New professional careers in dataNew professional careers in data
New professional careers in data
 

Similar a Big data Analytics

Business Analytics and Data mining.pdf
Business Analytics and Data mining.pdfBusiness Analytics and Data mining.pdf
Business Analytics and Data mining.pdfssuser0413ec
 
BIG DATA CHAPTER 2 IN DSS.pptx
BIG DATA CHAPTER 2 IN DSS.pptxBIG DATA CHAPTER 2 IN DSS.pptx
BIG DATA CHAPTER 2 IN DSS.pptxmuflehaljarrah
 
01-introduction.ppt the paper that you can unless you want to join me because...
01-introduction.ppt the paper that you can unless you want to join me because...01-introduction.ppt the paper that you can unless you want to join me because...
01-introduction.ppt the paper that you can unless you want to join me because...teodroscampaus
 
Data Lake Architecture – Modern Strategies & Approaches
Data Lake Architecture – Modern Strategies & ApproachesData Lake Architecture – Modern Strategies & Approaches
Data Lake Architecture – Modern Strategies & ApproachesDATAVERSITY
 
Modern Analytics And The Future Of Quality And Performance Excellence
Modern Analytics And The Future Of Quality And Performance ExcellenceModern Analytics And The Future Of Quality And Performance Excellence
Modern Analytics And The Future Of Quality And Performance ExcellenceICFAI Business School
 
Big Data Challenges and solutions.pptx
 Big Data Challenges and solutions.pptx Big Data Challenges and solutions.pptx
Big Data Challenges and solutions.pptxjawaria11
 
Big Data for Development
Big Data for DevelopmentBig Data for Development
Big Data for DevelopmentJoud Khattab
 
Introduction to Big Data
Introduction to Big DataIntroduction to Big Data
Introduction to Big DataAkshata Humbe
 
Data mining with big data implementation
Data mining with big data implementationData mining with big data implementation
Data mining with big data implementationSandip Tipayle Patil
 
Communications of the Association for Information SystemsV.docx
Communications of the Association for Information SystemsV.docxCommunications of the Association for Information SystemsV.docx
Communications of the Association for Information SystemsV.docxmonicafrancis71118
 
Big data analytics in Business Management and Businesss Intelligence: A Lietr...
Big data analytics in Business Management and Businesss Intelligence: A Lietr...Big data analytics in Business Management and Businesss Intelligence: A Lietr...
Big data analytics in Business Management and Businesss Intelligence: A Lietr...IRJET Journal
 
A Survey on Big Data Analytics
A Survey on Big Data AnalyticsA Survey on Big Data Analytics
A Survey on Big Data AnalyticsBHARATH KUMAR
 
02 a holistic approach to big data
02 a holistic approach to big data02 a holistic approach to big data
02 a holistic approach to big dataRaul Chong
 
Intro to Data Science Big Data
Intro to Data Science Big DataIntro to Data Science Big Data
Intro to Data Science Big DataIndu Khemchandani
 

Similar a Big data Analytics (20)

Big_Data.pptx
Big_Data.pptxBig_Data.pptx
Big_Data.pptx
 
Business Analytics and Data mining.pdf
Business Analytics and Data mining.pdfBusiness Analytics and Data mining.pdf
Business Analytics and Data mining.pdf
 
BIG DATA CHAPTER 2 IN DSS.pptx
BIG DATA CHAPTER 2 IN DSS.pptxBIG DATA CHAPTER 2 IN DSS.pptx
BIG DATA CHAPTER 2 IN DSS.pptx
 
01-introduction.ppt the paper that you can unless you want to join me because...
01-introduction.ppt the paper that you can unless you want to join me because...01-introduction.ppt the paper that you can unless you want to join me because...
01-introduction.ppt the paper that you can unless you want to join me because...
 
big data.pptx
big data.pptxbig data.pptx
big data.pptx
 
Data Lake Architecture – Modern Strategies & Approaches
Data Lake Architecture – Modern Strategies & ApproachesData Lake Architecture – Modern Strategies & Approaches
Data Lake Architecture – Modern Strategies & Approaches
 
Bigdata Hadoop introduction
Bigdata Hadoop introductionBigdata Hadoop introduction
Bigdata Hadoop introduction
 
Bigdata
BigdataBigdata
Bigdata
 
Modern Analytics And The Future Of Quality And Performance Excellence
Modern Analytics And The Future Of Quality And Performance ExcellenceModern Analytics And The Future Of Quality And Performance Excellence
Modern Analytics And The Future Of Quality And Performance Excellence
 
Big Data Challenges and solutions.pptx
 Big Data Challenges and solutions.pptx Big Data Challenges and solutions.pptx
Big Data Challenges and solutions.pptx
 
Big Data for Development
Big Data for DevelopmentBig Data for Development
Big Data for Development
 
Introduction to Big Data
Introduction to Big DataIntroduction to Big Data
Introduction to Big Data
 
Data_Mining.ppt
Data_Mining.pptData_Mining.ppt
Data_Mining.ppt
 
Data mining with big data implementation
Data mining with big data implementationData mining with big data implementation
Data mining with big data implementation
 
Communications of the Association for Information SystemsV.docx
Communications of the Association for Information SystemsV.docxCommunications of the Association for Information SystemsV.docx
Communications of the Association for Information SystemsV.docx
 
Big data analytics in Business Management and Businesss Intelligence: A Lietr...
Big data analytics in Business Management and Businesss Intelligence: A Lietr...Big data analytics in Business Management and Businesss Intelligence: A Lietr...
Big data analytics in Business Management and Businesss Intelligence: A Lietr...
 
Intro big data.pdf
Intro big data.pdfIntro big data.pdf
Intro big data.pdf
 
A Survey on Big Data Analytics
A Survey on Big Data AnalyticsA Survey on Big Data Analytics
A Survey on Big Data Analytics
 
02 a holistic approach to big data
02 a holistic approach to big data02 a holistic approach to big data
02 a holistic approach to big data
 
Intro to Data Science Big Data
Intro to Data Science Big DataIntro to Data Science Big Data
Intro to Data Science Big Data
 

Más de Scandala Tamang

Rating System Algorithms Document
Rating System Algorithms DocumentRating System Algorithms Document
Rating System Algorithms DocumentScandala Tamang
 
Rating System:Various rating algorithms Review.
Rating System:Various rating algorithms Review.Rating System:Various rating algorithms Review.
Rating System:Various rating algorithms Review.Scandala Tamang
 
Non Deterministic and Deterministic Problems
Non Deterministic and Deterministic Problems Non Deterministic and Deterministic Problems
Non Deterministic and Deterministic Problems Scandala Tamang
 

Más de Scandala Tamang (6)

Rating System Algorithms Document
Rating System Algorithms DocumentRating System Algorithms Document
Rating System Algorithms Document
 
Rating System:Various rating algorithms Review.
Rating System:Various rating algorithms Review.Rating System:Various rating algorithms Review.
Rating System:Various rating algorithms Review.
 
Non Deterministic and Deterministic Problems
Non Deterministic and Deterministic Problems Non Deterministic and Deterministic Problems
Non Deterministic and Deterministic Problems
 
Inclusion education v1
Inclusion education v1Inclusion education v1
Inclusion education v1
 
Value education
Value educationValue education
Value education
 
Crictical thinking
Crictical thinkingCrictical thinking
Crictical thinking
 

Último

Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Guido X Jansen
 
5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best PracticesDataArchiva
 
ChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics InfrastructureChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics Infrastructuresonikadigital1
 
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxTINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxDwiAyuSitiHartinah
 
Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Vladislav Solodkiy
 
Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...PrithaVashisht1
 
Master's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationMaster's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationGiorgio Carbone
 
Virtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product IntroductionVirtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product Introductionsanjaymuralee1
 
The Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerThe Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerPavel Šabatka
 
Optimal Decision Making - Cost Reduction in Logistics
Optimal Decision Making - Cost Reduction in LogisticsOptimal Decision Making - Cost Reduction in Logistics
Optimal Decision Making - Cost Reduction in LogisticsThinkInnovation
 
Rock Songs common codes and conventions.pptx
Rock Songs common codes and conventions.pptxRock Songs common codes and conventions.pptx
Rock Songs common codes and conventions.pptxFinatron037
 
CCS336-Cloud-Services-Management-Lecture-Notes-1.pptx
CCS336-Cloud-Services-Management-Lecture-Notes-1.pptxCCS336-Cloud-Services-Management-Lecture-Notes-1.pptx
CCS336-Cloud-Services-Management-Lecture-Notes-1.pptxdhiyaneswaranv1
 
Mapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxMapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxVenkatasubramani13
 
Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityStrategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityAggregage
 
CI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionCI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionajayrajaganeshkayala
 
How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?sonikadigital1
 

Último (16)

Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
Persuasive E-commerce, Our Biased Brain @ Bikkeldag 2024
 
5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices5 Ds to Define Data Archiving Best Practices
5 Ds to Define Data Archiving Best Practices
 
ChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics InfrastructureChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics Infrastructure
 
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxTINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
 
Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023Cash Is Still King: ATM market research '2023
Cash Is Still King: ATM market research '2023
 
Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...Elements of language learning - an analysis of how different elements of lang...
Elements of language learning - an analysis of how different elements of lang...
 
Master's Thesis - Data Science - Presentation
Master's Thesis - Data Science - PresentationMaster's Thesis - Data Science - Presentation
Master's Thesis - Data Science - Presentation
 
Virtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product IntroductionVirtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product Introduction
 
The Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayerThe Universal GTM - how we design GTM and dataLayer
The Universal GTM - how we design GTM and dataLayer
 
Optimal Decision Making - Cost Reduction in Logistics
Optimal Decision Making - Cost Reduction in LogisticsOptimal Decision Making - Cost Reduction in Logistics
Optimal Decision Making - Cost Reduction in Logistics
 
Rock Songs common codes and conventions.pptx
Rock Songs common codes and conventions.pptxRock Songs common codes and conventions.pptx
Rock Songs common codes and conventions.pptx
 
CCS336-Cloud-Services-Management-Lecture-Notes-1.pptx
CCS336-Cloud-Services-Management-Lecture-Notes-1.pptxCCS336-Cloud-Services-Management-Lecture-Notes-1.pptx
CCS336-Cloud-Services-Management-Lecture-Notes-1.pptx
 
Mapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptxMapping the pubmed data under different suptopics using NLP.pptx
Mapping the pubmed data under different suptopics using NLP.pptx
 
Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for ClarityStrategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity
 
CI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual interventionCI, CD -Tools to integrate without manual intervention
CI, CD -Tools to integrate without manual intervention
 
How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?How is Real-Time Analytics Different from Traditional OLAP?
How is Real-Time Analytics Different from Traditional OLAP?
 

Big data Analytics

  • 1. Big Data Analytics: Future of Almost Everything Department of Computer Applications School of Physical Sciences Sikkim University Presented By - : Robin Gurung 14UCA015
  • 2. Introduction Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions. is the process of examining large and varied data sets -i.e., big data -- to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. Big Data Analytics Big Data Analytics
  • 3. Introduction Continued. •Big data was a serious problem just a few years ago. When data volumes started skyrocketing in the early 2000s. •Emerge of Advance Analytics changed the perspective of users for big data. •can study big data to understand the current state of the business and track still-evolving aspects such as customer behavior.
  • 4. Introduction continued • The volume of the big data is calculated in ZetaBytes(ZB). early in year 2009 it was 2.3 ZetaBytes. 2.3 X 10,00,000 GB (Gigabytes) = 23,00,000. As the year passed 2.3 (ZB) produced in single month. Single week. Single day. Single hour.
  • 5. 3 Vs of Big Data
  • 6. Big Data analytics adoption. •Roughly three quarters (74%) of organizations surveyed have adopted some form of analytics today. •In fact, 40% of survey respondents practice advanced analytics without big data.
  • 7. Big Data: Problem or Opportunity? •Only 30% consider big data a problem. •No doubt that big data presents technical challenges due to its volume, variety, and velocity. •Data volume alone is a showstopper for some organizations.
  • 9. Conclusion: What good is all of this data? •Data : As a raw unorganized facts, is in and of itself worthless. •Information : Potentially valuable concepts based on data. •Knowledge : Is what we understand based upon Information. •Wisdom : Is the effective use of Knowledge in decision making.
  • 10. References • https://tdwi.org/research/2011/09/best-practices-report-q4-big- data-analytics/asset.aspx?tc=assetpg .TDWI survey report of 2009. • https://www.sas.com/en_in/home.html SAS survey report of 2011. • Lohr S (2012) The age of big data. New York Times, pp 11 . • Gantz J, Reinsel D (2011) Extracting value from chaos. IDC iView, pp 1–12.