SlideShare une entreprise Scribd logo
1  sur  10
Télécharger pour lire hors ligne
What is the data
analytics stack?
Analytics problem-solving: context is
king
“The poor craftsman blames his
tools”
but also
“If the only tool you have is a
hammer, everything looks like a
nail”
The data products Venn diagram
http://www.datacommunitydc.org/blog/2013/09/the-data-products-venn-diagram
Spreadsheets
• Flexible, easy-to-use
• Great for back-of-the-envelope calculations and
prototyping
• Easy data entry
• Lacks data quality, storage & delivery methods
Databases
• Data integrity at scale
• Unparalleled data storage & delivery
• Limited data analysis
Dashboards & BI platforms
• Broad category: visualization software to data
warehouses
• Democratized data visualization
• Improved reporting & analysis distribution
• Can be expensive & inflexible
Programming languages
• Basis for reproducible analysis
• Gateway to advanced statistics & analytics
• Often open-source and free
• Steep learning curve: what is the ROI?
No slice is “better” than another!
• Each slice has pros and cons
• “Python is better than Excel” becomes a
meaningless statement… better for what?
• Context matters – they’re all slices of the same
stack!
Remaining platform agnostic
• Some “stacks” work better together…
• Some tools are preferred to others…
• … focus on mastering the wisdom of context first
LET'S TALK
WEBSITE
stringfestanalytics.com
EMAIL ADDRESS
george@stringfestanalytics.com
LINKEDIN
linkedin.com/in/gjmount

Contenu connexe

Tendances

Top 10 Data analytics tools to look for in 2021
Top 10 Data analytics tools to look for in 2021Top 10 Data analytics tools to look for in 2021
Top 10 Data analytics tools to look for in 2021Mobcoder
 
Data Con LA 2019 - Big Data Modeling with Spark SQL: Make data valuable by Ja...
Data Con LA 2019 - Big Data Modeling with Spark SQL: Make data valuable by Ja...Data Con LA 2019 - Big Data Modeling with Spark SQL: Make data valuable by Ja...
Data Con LA 2019 - Big Data Modeling with Spark SQL: Make data valuable by Ja...Data Con LA
 
The A.I. Avenger Team - The 7 roles that you need
The A.I. Avenger Team - The 7 roles that you needThe A.I. Avenger Team - The 7 roles that you need
The A.I. Avenger Team - The 7 roles that you needAvi Patchava
 
Bi 2.0 hadoop everywhere
Bi 2.0   hadoop everywhereBi 2.0   hadoop everywhere
Bi 2.0 hadoop everywhereDmitry Tolpeko
 
Acumatica Summit 2017 - Dashboards and Analytics
Acumatica Summit 2017 - Dashboards and AnalyticsAcumatica Summit 2017 - Dashboards and Analytics
Acumatica Summit 2017 - Dashboards and AnalyticsTim Rodman, (CPA-Inactive)
 
From Data Hell to Bliss: Getting the Most Out of Your Acumatica Data
From Data Hell to Bliss: Getting the Most Out of Your Acumatica DataFrom Data Hell to Bliss: Getting the Most Out of Your Acumatica Data
From Data Hell to Bliss: Getting the Most Out of Your Acumatica DataTim Rodman, (CPA-Inactive)
 
Acumatica Summit 2017 - Business Intelligence for Business Leaders
Acumatica Summit 2017 - Business Intelligence for Business LeadersAcumatica Summit 2017 - Business Intelligence for Business Leaders
Acumatica Summit 2017 - Business Intelligence for Business LeadersTim Rodman, (CPA-Inactive)
 
NoSql - everything you need to know to start
NoSql - everything you need to know to startNoSql - everything you need to know to start
NoSql - everything you need to know to startRobert Matusewicz
 
Re-Aligning Library Technology Strategy: Questioning the Role of Tradition in...
Re-Aligning Library Technology Strategy: Questioning the Role of Tradition in...Re-Aligning Library Technology Strategy: Questioning the Role of Tradition in...
Re-Aligning Library Technology Strategy: Questioning the Role of Tradition in...Alton "Tony" Zanders
 
The Problem with Traditional Analytics I: Dark Data
The Problem with Traditional Analytics I: Dark DataThe Problem with Traditional Analytics I: Dark Data
The Problem with Traditional Analytics I: Dark DataQrvey
 
Michigan Evergreen: An Open Source Project
Michigan Evergreen: An Open Source ProjectMichigan Evergreen: An Open Source Project
Michigan Evergreen: An Open Source Projectkramsey
 
Building next generation data warehouses
Building next generation data warehousesBuilding next generation data warehouses
Building next generation data warehousesAlex Meadows
 
Big data and machine learning / Gil Chamiel
Big data and machine learning / Gil Chamiel   Big data and machine learning / Gil Chamiel
Big data and machine learning / Gil Chamiel geektimecoil
 

Tendances (16)

Top 10 Data analytics tools to look for in 2021
Top 10 Data analytics tools to look for in 2021Top 10 Data analytics tools to look for in 2021
Top 10 Data analytics tools to look for in 2021
 
Data Con LA 2019 - Big Data Modeling with Spark SQL: Make data valuable by Ja...
Data Con LA 2019 - Big Data Modeling with Spark SQL: Make data valuable by Ja...Data Con LA 2019 - Big Data Modeling with Spark SQL: Make data valuable by Ja...
Data Con LA 2019 - Big Data Modeling with Spark SQL: Make data valuable by Ja...
 
Business intelligence
Business intelligenceBusiness intelligence
Business intelligence
 
The A.I. Avenger Team - The 7 roles that you need
The A.I. Avenger Team - The 7 roles that you needThe A.I. Avenger Team - The 7 roles that you need
The A.I. Avenger Team - The 7 roles that you need
 
Bi 2.0 hadoop everywhere
Bi 2.0   hadoop everywhereBi 2.0   hadoop everywhere
Bi 2.0 hadoop everywhere
 
Acumatica Summit 2017 - Dashboards and Analytics
Acumatica Summit 2017 - Dashboards and AnalyticsAcumatica Summit 2017 - Dashboards and Analytics
Acumatica Summit 2017 - Dashboards and Analytics
 
From Data Hell to Bliss: Getting the Most Out of Your Acumatica Data
From Data Hell to Bliss: Getting the Most Out of Your Acumatica DataFrom Data Hell to Bliss: Getting the Most Out of Your Acumatica Data
From Data Hell to Bliss: Getting the Most Out of Your Acumatica Data
 
Acumatica Summit 2017 - Business Intelligence for Business Leaders
Acumatica Summit 2017 - Business Intelligence for Business LeadersAcumatica Summit 2017 - Business Intelligence for Business Leaders
Acumatica Summit 2017 - Business Intelligence for Business Leaders
 
NoSql - everything you need to know to start
NoSql - everything you need to know to startNoSql - everything you need to know to start
NoSql - everything you need to know to start
 
Re-Aligning Library Technology Strategy: Questioning the Role of Tradition in...
Re-Aligning Library Technology Strategy: Questioning the Role of Tradition in...Re-Aligning Library Technology Strategy: Questioning the Role of Tradition in...
Re-Aligning Library Technology Strategy: Questioning the Role of Tradition in...
 
The Problem with Traditional Analytics I: Dark Data
The Problem with Traditional Analytics I: Dark DataThe Problem with Traditional Analytics I: Dark Data
The Problem with Traditional Analytics I: Dark Data
 
Michigan Evergreen: An Open Source Project
Michigan Evergreen: An Open Source ProjectMichigan Evergreen: An Open Source Project
Michigan Evergreen: An Open Source Project
 
noSQL
noSQLnoSQL
noSQL
 
Building next generation data warehouses
Building next generation data warehousesBuilding next generation data warehouses
Building next generation data warehouses
 
Big data and machine learning / Gil Chamiel
Big data and machine learning / Gil Chamiel   Big data and machine learning / Gil Chamiel
Big data and machine learning / Gil Chamiel
 
Big Data Pitfalls
Big Data PitfallsBig Data Pitfalls
Big Data Pitfalls
 

Similaire à What is the data analytics stack?

Build a modern data platform.pptx
Build a modern data platform.pptxBuild a modern data platform.pptx
Build a modern data platform.pptxIke Ellis
 
Demystifying data engineering
Demystifying data engineeringDemystifying data engineering
Demystifying data engineeringThang Bui (Bob)
 
Big data berlin
Big data berlinBig data berlin
Big data berlinkammeyer
 
How to use Big Data and Data Lake concept in business using Hadoop and Spark...
 How to use Big Data and Data Lake concept in business using Hadoop and Spark... How to use Big Data and Data Lake concept in business using Hadoop and Spark...
How to use Big Data and Data Lake concept in business using Hadoop and Spark...Institute of Contemporary Sciences
 
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...Denodo
 
Presentacion day f-core v1.2.1.2-technical - english
Presentacion day f-core v1.2.1.2-technical - englishPresentacion day f-core v1.2.1.2-technical - english
Presentacion day f-core v1.2.1.2-technical - englishJose Luis Sanchez del Coso
 
Options for Data Prep - A Survey of the Current Market
Options for Data Prep - A Survey of the Current MarketOptions for Data Prep - A Survey of the Current Market
Options for Data Prep - A Survey of the Current MarketDremio Corporation
 
Hadoop meets Agile! - An Agile Big Data Model
Hadoop meets Agile! - An Agile Big Data ModelHadoop meets Agile! - An Agile Big Data Model
Hadoop meets Agile! - An Agile Big Data ModelUwe Printz
 
IBM's Business Analytics Portfolio for Training Purposes
IBM's Business Analytics Portfolio for Training PurposesIBM's Business Analytics Portfolio for Training Purposes
IBM's Business Analytics Portfolio for Training PurposesNatalija Pavic
 
Business Intelligence Barista: What DataViz Tool to Use, and When?
Business Intelligence Barista: What DataViz Tool to Use, and When?Business Intelligence Barista: What DataViz Tool to Use, and When?
Business Intelligence Barista: What DataViz Tool to Use, and When?Jen Stirrup
 
Business Intelligence Barista: What DataViz Tool to Use, and When?
Business Intelligence Barista: What DataViz Tool to Use, and When?Business Intelligence Barista: What DataViz Tool to Use, and When?
Business Intelligence Barista: What DataViz Tool to Use, and When?Jen Stirrup
 
Big Data Warehousing Meetup with Riak
Big Data Warehousing Meetup with RiakBig Data Warehousing Meetup with Riak
Big Data Warehousing Meetup with RiakCaserta
 
Continuum Analytics and Python
Continuum Analytics and PythonContinuum Analytics and Python
Continuum Analytics and PythonTravis Oliphant
 
Sharing a Startup’s Big Data Lessons
Sharing a Startup’s Big Data LessonsSharing a Startup’s Big Data Lessons
Sharing a Startup’s Big Data LessonsGeorge Stathis
 
Demystifying Data Engineering
Demystifying Data EngineeringDemystifying Data Engineering
Demystifying Data Engineeringnathanmarz
 
Data modeling trends for analytics
Data modeling trends for analyticsData modeling trends for analytics
Data modeling trends for analyticsIke Ellis
 
Power BI vs Tableau vs Cognos: A Data Analytics Research
Power BI vs Tableau vs Cognos: A Data Analytics ResearchPower BI vs Tableau vs Cognos: A Data Analytics Research
Power BI vs Tableau vs Cognos: A Data Analytics ResearchLuciano Vilas Boas
 
IncQuery Suite demo for INCOSE 2022IW
IncQuery Suite demo for INCOSE 2022IWIncQuery Suite demo for INCOSE 2022IW
IncQuery Suite demo for INCOSE 2022IWIncQuery Labs
 
Big Data Platforms: An Overview
Big Data Platforms: An OverviewBig Data Platforms: An Overview
Big Data Platforms: An OverviewC. Scyphers
 
Maintainable Machine Learning Products
Maintainable Machine Learning ProductsMaintainable Machine Learning Products
Maintainable Machine Learning ProductsAndrew Musselman
 

Similaire à What is the data analytics stack? (20)

Build a modern data platform.pptx
Build a modern data platform.pptxBuild a modern data platform.pptx
Build a modern data platform.pptx
 
Demystifying data engineering
Demystifying data engineeringDemystifying data engineering
Demystifying data engineering
 
Big data berlin
Big data berlinBig data berlin
Big data berlin
 
How to use Big Data and Data Lake concept in business using Hadoop and Spark...
 How to use Big Data and Data Lake concept in business using Hadoop and Spark... How to use Big Data and Data Lake concept in business using Hadoop and Spark...
How to use Big Data and Data Lake concept in business using Hadoop and Spark...
 
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
Denodo DataFest 2016: Comparing and Contrasting Data Virtualization With Data...
 
Presentacion day f-core v1.2.1.2-technical - english
Presentacion day f-core v1.2.1.2-technical - englishPresentacion day f-core v1.2.1.2-technical - english
Presentacion day f-core v1.2.1.2-technical - english
 
Options for Data Prep - A Survey of the Current Market
Options for Data Prep - A Survey of the Current MarketOptions for Data Prep - A Survey of the Current Market
Options for Data Prep - A Survey of the Current Market
 
Hadoop meets Agile! - An Agile Big Data Model
Hadoop meets Agile! - An Agile Big Data ModelHadoop meets Agile! - An Agile Big Data Model
Hadoop meets Agile! - An Agile Big Data Model
 
IBM's Business Analytics Portfolio for Training Purposes
IBM's Business Analytics Portfolio for Training PurposesIBM's Business Analytics Portfolio for Training Purposes
IBM's Business Analytics Portfolio for Training Purposes
 
Business Intelligence Barista: What DataViz Tool to Use, and When?
Business Intelligence Barista: What DataViz Tool to Use, and When?Business Intelligence Barista: What DataViz Tool to Use, and When?
Business Intelligence Barista: What DataViz Tool to Use, and When?
 
Business Intelligence Barista: What DataViz Tool to Use, and When?
Business Intelligence Barista: What DataViz Tool to Use, and When?Business Intelligence Barista: What DataViz Tool to Use, and When?
Business Intelligence Barista: What DataViz Tool to Use, and When?
 
Big Data Warehousing Meetup with Riak
Big Data Warehousing Meetup with RiakBig Data Warehousing Meetup with Riak
Big Data Warehousing Meetup with Riak
 
Continuum Analytics and Python
Continuum Analytics and PythonContinuum Analytics and Python
Continuum Analytics and Python
 
Sharing a Startup’s Big Data Lessons
Sharing a Startup’s Big Data LessonsSharing a Startup’s Big Data Lessons
Sharing a Startup’s Big Data Lessons
 
Demystifying Data Engineering
Demystifying Data EngineeringDemystifying Data Engineering
Demystifying Data Engineering
 
Data modeling trends for analytics
Data modeling trends for analyticsData modeling trends for analytics
Data modeling trends for analytics
 
Power BI vs Tableau vs Cognos: A Data Analytics Research
Power BI vs Tableau vs Cognos: A Data Analytics ResearchPower BI vs Tableau vs Cognos: A Data Analytics Research
Power BI vs Tableau vs Cognos: A Data Analytics Research
 
IncQuery Suite demo for INCOSE 2022IW
IncQuery Suite demo for INCOSE 2022IWIncQuery Suite demo for INCOSE 2022IW
IncQuery Suite demo for INCOSE 2022IW
 
Big Data Platforms: An Overview
Big Data Platforms: An OverviewBig Data Platforms: An Overview
Big Data Platforms: An Overview
 
Maintainable Machine Learning Products
Maintainable Machine Learning ProductsMaintainable Machine Learning Products
Maintainable Machine Learning Products
 

Plus de George Mount

Building a Data Academy: Presentation to Pittsburgh Chapter, Association for ...
Building a Data Academy: Presentation to Pittsburgh Chapter, Association for ...Building a Data Academy: Presentation to Pittsburgh Chapter, Association for ...
Building a Data Academy: Presentation to Pittsburgh Chapter, Association for ...George Mount
 
Building the Data Academy (Pluralsight LIVE presentation)
Building the Data Academy (Pluralsight LIVE presentation)Building the Data Academy (Pluralsight LIVE presentation)
Building the Data Academy (Pluralsight LIVE presentation)George Mount
 
Blogging Effectively about Coding (WordCamp Denver 2020)
Blogging Effectively about Coding (WordCamp Denver 2020)Blogging Effectively about Coding (WordCamp Denver 2020)
Blogging Effectively about Coding (WordCamp Denver 2020)George Mount
 
Demo guide: The central limit theorem, visualized in Excel
Demo guide: The central limit theorem, visualized in ExcelDemo guide: The central limit theorem, visualized in Excel
Demo guide: The central limit theorem, visualized in ExcelGeorge Mount
 
Blended learning for data education
Blended learning for data educationBlended learning for data education
Blended learning for data educationGeorge Mount
 
Teaching coding: What is pair programming?
Teaching coding: What is pair programming?Teaching coding: What is pair programming?
Teaching coding: What is pair programming?George Mount
 
Hiring data scientists doesn't make a data culture
Hiring data scientists doesn't make a data cultureHiring data scientists doesn't make a data culture
Hiring data scientists doesn't make a data cultureGeorge Mount
 
It’s time to open-source your data tools and processes
It’s time to open-source your data tools and processesIt’s time to open-source your data tools and processes
It’s time to open-source your data tools and processesGeorge Mount
 
Building the data academy: Measuring ROI
Building the data academy: Measuring ROIBuilding the data academy: Measuring ROI
Building the data academy: Measuring ROIGeorge Mount
 
Building your data academy: Assessing candidate skills
Building your data academy: Assessing candidate skillsBuilding your data academy: Assessing candidate skills
Building your data academy: Assessing candidate skillsGeorge Mount
 
Teaching coding: What is a faded example?
Teaching coding: What is a faded example?Teaching coding: What is a faded example?
Teaching coding: What is a faded example?George Mount
 
YouTube is not a data upskilling strategy
YouTube is not a data upskilling strategyYouTube is not a data upskilling strategy
YouTube is not a data upskilling strategyGeorge Mount
 
Five myths about learning data analytics
Five myths about learning data analyticsFive myths about learning data analytics
Five myths about learning data analyticsGeorge Mount
 
Building your data academy
Building your data academyBuilding your data academy
Building your data academyGeorge Mount
 
Survey and Measure Development in R
Survey and Measure Development in RSurvey and Measure Development in R
Survey and Measure Development in RGeorge Mount
 
It's not what you know, it's how you show.
It's not what you know, it's how you show.It's not what you know, it's how you show.
It's not what you know, it's how you show.George Mount
 
Mediation in R's lavaan package
Mediation in R's lavaan packageMediation in R's lavaan package
Mediation in R's lavaan packageGeorge Mount
 
Qualitative Research Study Exercise: Reading Choices and Habits
Qualitative Research Study Exercise: Reading Choices and HabitsQualitative Research Study Exercise: Reading Choices and Habits
Qualitative Research Study Exercise: Reading Choices and HabitsGeorge Mount
 
Hey, Analyst! Learn Some Content Marketing
Hey, Analyst! Learn Some Content MarketingHey, Analyst! Learn Some Content Marketing
Hey, Analyst! Learn Some Content MarketingGeorge Mount
 
Why Be a Social Analyst?
Why Be a Social Analyst? Why Be a Social Analyst?
Why Be a Social Analyst? George Mount
 

Plus de George Mount (20)

Building a Data Academy: Presentation to Pittsburgh Chapter, Association for ...
Building a Data Academy: Presentation to Pittsburgh Chapter, Association for ...Building a Data Academy: Presentation to Pittsburgh Chapter, Association for ...
Building a Data Academy: Presentation to Pittsburgh Chapter, Association for ...
 
Building the Data Academy (Pluralsight LIVE presentation)
Building the Data Academy (Pluralsight LIVE presentation)Building the Data Academy (Pluralsight LIVE presentation)
Building the Data Academy (Pluralsight LIVE presentation)
 
Blogging Effectively about Coding (WordCamp Denver 2020)
Blogging Effectively about Coding (WordCamp Denver 2020)Blogging Effectively about Coding (WordCamp Denver 2020)
Blogging Effectively about Coding (WordCamp Denver 2020)
 
Demo guide: The central limit theorem, visualized in Excel
Demo guide: The central limit theorem, visualized in ExcelDemo guide: The central limit theorem, visualized in Excel
Demo guide: The central limit theorem, visualized in Excel
 
Blended learning for data education
Blended learning for data educationBlended learning for data education
Blended learning for data education
 
Teaching coding: What is pair programming?
Teaching coding: What is pair programming?Teaching coding: What is pair programming?
Teaching coding: What is pair programming?
 
Hiring data scientists doesn't make a data culture
Hiring data scientists doesn't make a data cultureHiring data scientists doesn't make a data culture
Hiring data scientists doesn't make a data culture
 
It’s time to open-source your data tools and processes
It’s time to open-source your data tools and processesIt’s time to open-source your data tools and processes
It’s time to open-source your data tools and processes
 
Building the data academy: Measuring ROI
Building the data academy: Measuring ROIBuilding the data academy: Measuring ROI
Building the data academy: Measuring ROI
 
Building your data academy: Assessing candidate skills
Building your data academy: Assessing candidate skillsBuilding your data academy: Assessing candidate skills
Building your data academy: Assessing candidate skills
 
Teaching coding: What is a faded example?
Teaching coding: What is a faded example?Teaching coding: What is a faded example?
Teaching coding: What is a faded example?
 
YouTube is not a data upskilling strategy
YouTube is not a data upskilling strategyYouTube is not a data upskilling strategy
YouTube is not a data upskilling strategy
 
Five myths about learning data analytics
Five myths about learning data analyticsFive myths about learning data analytics
Five myths about learning data analytics
 
Building your data academy
Building your data academyBuilding your data academy
Building your data academy
 
Survey and Measure Development in R
Survey and Measure Development in RSurvey and Measure Development in R
Survey and Measure Development in R
 
It's not what you know, it's how you show.
It's not what you know, it's how you show.It's not what you know, it's how you show.
It's not what you know, it's how you show.
 
Mediation in R's lavaan package
Mediation in R's lavaan packageMediation in R's lavaan package
Mediation in R's lavaan package
 
Qualitative Research Study Exercise: Reading Choices and Habits
Qualitative Research Study Exercise: Reading Choices and HabitsQualitative Research Study Exercise: Reading Choices and Habits
Qualitative Research Study Exercise: Reading Choices and Habits
 
Hey, Analyst! Learn Some Content Marketing
Hey, Analyst! Learn Some Content MarketingHey, Analyst! Learn Some Content Marketing
Hey, Analyst! Learn Some Content Marketing
 
Why Be a Social Analyst?
Why Be a Social Analyst? Why Be a Social Analyst?
Why Be a Social Analyst?
 

Dernier

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
 
AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)Data & Analytics Magazin
 
Virtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product IntroductionVirtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product Introductionsanjaymuralee1
 
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
 
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
 
SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024Becky Burwell
 
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
 
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
 
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
 
MEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptMEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptaigil2
 
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxTINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxDwiAyuSitiHartinah
 
YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.JasonViviers2
 
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
 
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
 
ChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics InfrastructureChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics Infrastructuresonikadigital1
 

Dernier (17)

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
 
AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)AI for Sustainable Development Goals (SDGs)
AI for Sustainable Development Goals (SDGs)
 
Virtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product IntroductionVirtuosoft SmartSync Product Introduction
Virtuosoft SmartSync Product Introduction
 
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
 
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
 
SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024SFBA Splunk Usergroup meeting March 13, 2024
SFBA Splunk Usergroup meeting March 13, 2024
 
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?
 
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
 
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
 
MEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .pptMEASURES OF DISPERSION I BSc Botany .ppt
MEASURES OF DISPERSION I BSc Botany .ppt
 
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptxTINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
TINJUAN PEMROSESAN TRANSAKSI DAN ERP.pptx
 
YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.YourView Panel Book.pptx YourView Panel Book.
YourView Panel Book.pptx YourView Panel Book.
 
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
 
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
 
ChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics InfrastructureChistaDATA Real-Time DATA Analytics Infrastructure
ChistaDATA Real-Time DATA Analytics Infrastructure
 

What is the data analytics stack?