There are some things that are so big that they have implications for everyone, whether we want it or not. Big Data is one of those things, and is completely transforming the way be do business and is impacting most other parts of our lives. Big Data refers to our ability to make use of the ever-increasing volumes of data.
Introduction
Why big data is required
Big data
Big data facts
Big data 3 V’s
Why big data is important
Examples where big data is used
Analytics
Approach to analytic development
Analysis of data through senser.
Analytics can help in
Big data analytics
Big data analytics in practice
How big data is used in twitter to get patterns
Human resource cost and risk of big data.
Big data analytics tools and technology
Conclusions
references
Introduction
Why big data is required
Big data
Big data facts
Big data 3 V’s
Why big data is important
Examples where big data is used
Analytics
Approach to analytic development
Analysis of data through senser.
Analytics can help in
Big data analytics
Big data analytics in practice
How big data is used in twitter to get patterns
Human resource cost and risk of big data.
Big data analytics tools and technology
Conclusions
references
Fundamentals of Big Data in 2 minutes!!Simplify360
In today’s world where information is increasing every second, BIG DATA takes up a major role in transforming any business.
Learn the fundamentals of big data in just 2 minutes!
Did you know that THIS MORNING
there is more data in the world
than EVER BEFORE?!
By 2018, 40% of enterprise architecture teams will be distinguished as leaders by their primary focus on applying disruptive technologies and the power of Big Data to drive business innovation.
Small data vs. Big data : back to the basicsAhmed Banafa
Small data is data in a volume and format that makes it accessible, informative and actionable.
The Small Data Group offers the following explanation:
Small data connects people with timely, meaningful insights (derived from big data and/or “local” sources), organized and packaged – often visually – to be accessible, understandable, and actionable for everyday tasks.
Big data is a term for datasets that are so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy.
Lets ideate and discuss more:
www.extentia.com/contact-us
The first phase of big data (Big Data 1.0) was all about “getting it.” The more data we had, the better the targeting, measurement and insights capabilities we could attain.
The big data ecosystem has now reached a tipping point where the basic infrastructural capabilities for supporting big data challenges and opportunities are easily available. Now we are entering what we would call the next generation of big data — big data 2.0
Relationship Between Big Data & AI
Human intelligence builds up on what we read, observe, learn, sense and experience. It's our ability to store large amount of data, accumulated over years and co-relating a few data points to answer a certain question, that makes us intelligent.
Similarly for machines to replicate human intelligence, they'll need to absorb large amount of data to make an intelligent decision............... (read more)
What is the impact of Big Data on Analytics from a Data Science perspective.
Presented at the Big Data and Analytics Summit 2014, Nasscom by Mamatha Upadhyaya.
Facts, Trends and Cloud Solutions, Realities and Infrastructure. A high-level view to the Cloud and its advantages for customer s and companies. Trends and Market
Las marcas no están ofreciendo el grado de
experiencia del cliente que ellas creen. Pese a la
reciente inversión en infraestructura y soluciones,
existe una distancia considerable entre lo que los
consumidores desean y lo que obtienen
Fundamentals of Big Data in 2 minutes!!Simplify360
In today’s world where information is increasing every second, BIG DATA takes up a major role in transforming any business.
Learn the fundamentals of big data in just 2 minutes!
Did you know that THIS MORNING
there is more data in the world
than EVER BEFORE?!
By 2018, 40% of enterprise architecture teams will be distinguished as leaders by their primary focus on applying disruptive technologies and the power of Big Data to drive business innovation.
Small data vs. Big data : back to the basicsAhmed Banafa
Small data is data in a volume and format that makes it accessible, informative and actionable.
The Small Data Group offers the following explanation:
Small data connects people with timely, meaningful insights (derived from big data and/or “local” sources), organized and packaged – often visually – to be accessible, understandable, and actionable for everyday tasks.
Big data is a term for datasets that are so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy.
Lets ideate and discuss more:
www.extentia.com/contact-us
The first phase of big data (Big Data 1.0) was all about “getting it.” The more data we had, the better the targeting, measurement and insights capabilities we could attain.
The big data ecosystem has now reached a tipping point where the basic infrastructural capabilities for supporting big data challenges and opportunities are easily available. Now we are entering what we would call the next generation of big data — big data 2.0
Relationship Between Big Data & AI
Human intelligence builds up on what we read, observe, learn, sense and experience. It's our ability to store large amount of data, accumulated over years and co-relating a few data points to answer a certain question, that makes us intelligent.
Similarly for machines to replicate human intelligence, they'll need to absorb large amount of data to make an intelligent decision............... (read more)
What is the impact of Big Data on Analytics from a Data Science perspective.
Presented at the Big Data and Analytics Summit 2014, Nasscom by Mamatha Upadhyaya.
Facts, Trends and Cloud Solutions, Realities and Infrastructure. A high-level view to the Cloud and its advantages for customer s and companies. Trends and Market
Las marcas no están ofreciendo el grado de
experiencia del cliente que ellas creen. Pese a la
reciente inversión en infraestructura y soluciones,
existe una distancia considerable entre lo que los
consumidores desean y lo que obtienen
1) To show you how to spot an Aspera opportunity ! 2) To outline the Aspera portfolio (Sales overview not technical) 3) To look at the Aspera opportunity from Sharepoint 4) Summary / Q and A / Close – But interaction is welcomed throughout.. 5) But before all of that…. This… 2 AGENDA AND OBJECTIVES
IBM Retail solutions offer long-standing commitment and investment
in leading-edge mobile partnerships, cognitive computing solution
development, acquisitions and research that provide disruptive
creativity and take a new approach (new business models) to solve
business problems.
The objective of this module is to provide an overview of the basic information on big data.
Upon completion of this module you will:
-Comprehend the emerging role of big data
-Understand the key terms regarding big and smart data
- Know how big data can be turned into smart data
- Be able to apply the key terms regarding big data
Duration of the module: approximately 1 – 2 hours
top 10 Digital transformation Technologies in 2022.docxAdvance Tech
It's no secret that the world is becoming more and more digitized every day. With technology advancing at breakneck speeds, it's hard to keep up with all the new changes and how they might impact our lives - both personally and professionally.
In this article, we'll take a look at 10 digital transformation technologies that are set to change the game in 2022 and beyond.
https://advancetech.info/digital-transformation-technologies/
Notes from the Observation Deck // A Data Revolution gngeorge
Notes from the Observation Deck will provide you with an examined look at the interesting phenomena and trends taking place around us today. We present them to you with the hope of sparking broader conversations, debates and ideas. Please use this as a resource for knowledge, inspiration and enjoyment.
Big Data - The 5 Vs Everyone Must KnowBernard Marr
This slide deck, by Big Data guru Bernard Marr, outlines the 5 Vs of big data. It describes in simple language what big data is, in terms of Volume, Velocity, Variety, Veracity and Value.
Index:
1) The Importance of Data
2) What is Big Data Concept
3) Big Data vs. Cloud Computing
4) The basic idea behind Big Data
5) Why do we use Big Data
6) Top 10 companies using Big Data
7) What kind of data is Big Data
8) Is Privacy a value
9) Future of Big Data by 2020
A discussion on IT trends forecast for the year ahead in respect to entrepreneurs & students.
The transcript of my oral notes for the presentation are added to the last slides.
The rate at which technology is evolving has made a huge impact on communication technology. The game changing began with mobile phones, then internet and now social media is taking the world over. This change will be leading and changing the nature of how we communicate with people.
With technology the world is becoming a small place and each new technology is taking half the time from its predecessor to reach 1 billion customers. Taking this clue wearable technology is expected to take less than 4 years to reach 1 billion customers.
This presentation highlights new and changing modes of technology and how they will be impacting our daily life. Rise of BIG DATA analytic will chart newer ways for predication analysis.
Brief History of IBM Watson
Data and some figures
Watson and transformational technologies
How Watson have improve to became smarter, faster and more scalable
Today's customers are tech savy and hold powerful computing devices in the plalms of their hands.As their expectations
grow, your ability to deliver must keep pace
Transforming businesses as the Internet of Things expands.
As a global electronics company, IBM understands the
issues facing the high-tech industry and the continuous
transformation required to thrive. Find more by watching this interesting presentation.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIFusionBuddyReview,
#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
#AIFusionBuddyUserExperience
#AIFusionBuddyforBeginners,
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#AIFusionBuddyDemo,
#AIFusionBuddyMaintenanceFees,
#AIFusionBuddyNewbieFriendly,
#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Launch Your Streaming Platforms in MinutesRoshan Dwivedi
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
AI Genie Review: World’s First Open AI WordPress Website CreatorGoogle
AI Genie Review: World’s First Open AI WordPress Website Creator
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-genie-review
AI Genie Review: Key Features
✅Creates Limitless Real-Time Unique Content, auto-publishing Posts, Pages & Images directly from Chat GPT & Open AI on WordPress in any Niche
✅First & Only Google Bard Approved Software That Publishes 100% Original, SEO Friendly Content using Open AI
✅Publish Automated Posts and Pages using AI Genie directly on Your website
✅50 DFY Websites Included Without Adding Any Images, Content Or Doing Anything Yourself
✅Integrated Chat GPT Bot gives Instant Answers on Your Website to Visitors
✅Just Enter the title, and your Content for Pages and Posts will be ready on your website
✅Automatically insert visually appealing images into posts based on keywords and titles.
✅Choose the temperature of the content and control its randomness.
✅Control the length of the content to be generated.
✅Never Worry About Paying Huge Money Monthly To Top Content Creation Platforms
✅100% Easy-to-Use, Newbie-Friendly Technology
✅30-Days Money-Back Guarantee
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIGenieApp #AIGenieBonus #AIGenieBonuses #AIGenieDemo #AIGenieDownload #AIGenieLegit #AIGenieLiveDemo #AIGenieOTO #AIGeniePreview #AIGenieReview #AIGenieReviewandBonus #AIGenieScamorLegit #AIGenieSoftware #AIGenieUpgrades #AIGenieUpsells #HowDoesAlGenie #HowtoBuyAIGenie #HowtoMakeMoneywithAIGenie #MakeMoneyOnline #MakeMoneywithAIGenie
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
2. There are some things that are so
big that they have implications for
everyone, whether we want it or
not.
Big Data is one of those things, and
is completely transforming the way
we do business and is impacting
most other parts of our lives.
3. The basic idea behind the phrase
'Big Data' is that everything we do
is increasingly leaving a digital
trace (or data), which we (and
others) can use and analyse.
Big Data therefore refers to our
ability to make use of the ever-
increasing volumes of data.
4. From the dawn of civilization until
2003, humankind generated five
exabytes of data. Now we produce
five exabytes every two days…and
the pace is accelerating.
Eric Schmidt,
Executive Chairman, Google
5. Activity Data
Simple activities like listening to music or
reading a book are now generating data.
Digital music players and eBooks collect data
on our activities. Your smart phone collects
data on how you use it and your web browser
collects information on what you are
searching for. Your credit card company
collects data on where you shop and your
shop collects data on what you buy. It is hard
to imagine any activity that does not
generate data.
6. Conversation Data
Our conversations are now digitally
recorded. It all started with emails but
nowadays most of our conversations
leave a digital trail. Just think of all the
conversations we have on social media
sites like Facebook or Twitter. Even many
of our phone conversations are now
digitally recorded.
7. Photo and Video Image
Data
Just think about all the pictures we take on
our smart phones or digital cameras. We
upload and share 100s of thousands of
them on social media sites every second.
The increasing amounts of CCTV cameras
take video images and we up-load
hundreds of hours of video images to
YouTube and other sites every minute .
8. Sensor Data
We are increasingly surrounded by sensors
that collect and share data. Take your smart
phone, it contains a global positioning
sensor to track exactly where you are every
second of the day, it includes an
accelometer to track the speed and
direction at which you are travelling. We
now have sensors in many devices and
products.
9. The Internet of Things
Data
We now have smart TVs that are able to collect
and process data, we have smart watches,
smart fridges, and smart alarms. The Internet
of Things, or Internet of Everything connects
these devices so that e.g. the traffic sensors on
the road send data to your alarm clock which
will wake you up earlier than planned because
the blocked road means you have to leave
earlier to make your 9am meeting…
.
10. With the datafication comes
big data, which is often
described using the four Vs:
• Volume
• Velocity
• Variety
• Veracity
11. Volume…
…refers to the vast amounts of data generated
every second. We are not talking Terabytes but
Zettabytes or Brontobytes. If we take all the
data generated in the world between the
beginning of time and 2008, the same amount
of data will soon be generated every minute.
New big data tools use distributed systems so
that we can store and analyse data across
databases that are dotted around anywhere in
the world.
12. Velocity…
…refers to the speed at which new data is
generated and the speed at which data moves
around. Just think of social media messages
going viral in seconds. Technology allows us
now to analyse the data while it is being
generated (sometimes referred to as in-
memory analytics), without ever putting it into
databases.
13. Variety…
…refers to the different types of data we can
now use. In the past we only focused on
structured data that neatly fitted into tables or
relational databases, such as financial data. In
fact, 80% of the world’s data is unstructured
(text, images, video, voice, etc.) With big data
technology we can now analyse and bring
together data of different types such as
messages, social media conversations, photos,
sensor data, video or voice recordings.
14. Veracity…
…refers to the messiness or trustworthiness of
the data. With many forms of big data quality
and accuracy are less controllable (just think of
Twitter posts with hash tags, abbreviations,
typos and colloquial speech as well as the
reliability and accuracy of content) but
technology now allows us to work with this
type of data.
15. Turning Big Data into Value:
The datafication of our world gives us
unprecedented amounts of data in
terms of Volume, Velocity, Variety and
Veracity. The latest technology such as
cloud computing and distributed
systems together with the latest
software and analysis approaches allow
us to leverage all types of data to gain
insights and add value.
16. The ‘Datafication’
of our World;
• Activities
• Conversations
• Words
• Voice
• Social Media
• Browser logs
• Photos
• Videos
• Sensors
• Etc.
Volume
Veracity
Variety
Velocity
Analysing
Big Data:
• Text
analytics
• Sentiment
analysis
• Face
recognition
• Voice
analytics
• Movement
analytics
• Etc.
Value
Turning Big Data into Value:
17. How is Big Data actually used? Example 1
Better understand and target customers:
To better understand and target customers,
companies expand their traditional data sets with
social media data, browser, text analytics or sensor
data to get a more complete picture of their
customers. The big objective, in many cases, is to
create predictive models. Using big data, Telecom
companies can now better predict customer churn;
retailers can predict what products will sell, and car
insurance companies understand how well their
customers actually drive.
18. How is Big Data actually used? Example 2
Understand and Optimize Business
Processes:
Big data is also increasingly used to optimize
business processes. Retailers are able to optimize
their stock based on predictive models generated
from social media data, web search trends and
weather forecasts. Another example is supply chain
or delivery route optimization using data from
geographic positioning and radio frequency
identification sensors.
19. How is Big Data actually used? Example 3
Improving Health:
The computing power of big data analytics enables
us to find new cures and better understand and
predict disease patterns. We can use all the data
from smart watches and wearable devices to better
understand links between lifestyles and diseases.
Big data analytics also allow us to monitor and
predict epidemics and disease outbreaks, simply by
listening to what people are saying, i.e. “Feeling
rubbish today - in bed with a cold” or searching
for on the Internet, i.e. “cures for flu”.
20. How is Big Data actually used? Example 4
Improving Security and Law Enforcement:
Security services use big data analytics to foil
terrorist plots and detect cyber attacks. Police
forces use big data tools to catch criminals and
even predict criminal activity and credit card
companies use big data analytics it to detect
fraudulent transactions.
21. How is Big Data actually used? Example 5
Improving Sports Performance:
Most elite sports have now embraced big data
analytics. Many use video analytics to track the
performance of every player in a football or
baseball game, sensor technology is built into
sports equipment such as basket balls or golf clubs,
and many elite sports teams track athletes outside
of the sporting environment – using smart
technology to track nutrition and sleep, as well as
social media conversations to monitor emotional
wellbeing.
22. How is Big Data actually used? Example 6
Improving and Optimizing Cities and
Countries:
Big data is used to improve many aspects of our cities
and countries. For example, it allows cities to optimize
traffic flows based on real time traffic information as
well as social media and weather data. A number of
cities are currently using big data analytics with the aim
of turning themselves into Smart Cities, where the
transport infrastructure and utility processes are all
joined up. Where a bus would wait for a delayed train
and where traffic signals predict traffic volumes and
operate to minimize jams.
23. But the applications of Big
Data are endless!
Currently we are only seeing the
beginnings of a transformation into a big
data economy.
Any business that doesn’t seriously
consider the implications of Big Data runs
the risk of being left behind.
.