If you ask people what BIG DATA is they often say it is about a lot of data. But the world has ALWAYS had a lot of data. It is about datafication – a word so new even spellcheck functions don’t know it is a real word!
Learn more about:
» How BIG DATA changes career paths of even the most unsuspecting?
» How BIG DATA changes the way business decision are made?
» How BIG DATA changes who makes those decisions & the reshuffle of the balance of power it causes?
» What BIG DATA skills can you bring to the office tomorrow to increase your value to the firm
In this paper, we discuss about the Big Data. We
analyze and reveals the benefits of Big Data. We analyze the
big data challenges and how Hadoop gives solution to it. This
research paper gives the comparison between relational
databases and Hadoop. This research paper also gives reason
of why Big Data and Hadoop.
General Terms
Data Explosion, Big Data, Big Data Analytics, Hadoop, Hadoop
Distributed File System, MapReduce
Lecture given at the University of Catania on December 2nd, 2014.
Start from Big Data definitions, continue with real life examples of successful Big Data Projects, go a little bit deeper with Sentiment Analysis, and conclude with a brief overview of Big Data tools and Big Data with Microsoft.
Summary:
1. What is Big Data? (includes the 5Vs of Big Data)
2. Big Data Examples (includes 6 Real Life Examples and comments on Privacy concerns)
3. How to Tackle a Big Data Problem (my 4 Universal Steps to follow)
4. Sentiment Analysis (what is sentiment analysis? Why do we care? A Technique and a plan)
5. Big Data tools (Hadoop, Hadoop Ecosystem, Hive, Pig, Sqoop, Oozie; Azure HDInsight, Excel Power Query, Power Pivot, Power View, Power Map)
From the webinar presentation "Data Science: Not Just for Big Data", hosted by Kalido and presented by:
David Smith, Data Scientist at Revolution Analytics, and
Gregory Piatetsky, Editor, KDnuggets
These are the slides for David Smith's portion of the presentation.
Watch the full webinar at:
http://www.kalido.com/data-science.htm
JIMS IT Flash , a monthly newsletter-An Initiative by the students of IT Department, shares the knowledge to its readers about the latest IT Innovations, Technologies and News.Your suggestions, thoughts and comments about latest in IT are always welcome at itflash@jimsindia.org.
Visit Website : http://jimsindia.org/
Data Science For Social Scientists WorkshopIan Hopkinson
The slides from a Workshop presentation on Data Science and Big Data given to academic social scientists. Lots of links to sources, should be interesting to those outside the original target field.
In this paper, we discuss about the Big Data. We
analyze and reveals the benefits of Big Data. We analyze the
big data challenges and how Hadoop gives solution to it. This
research paper gives the comparison between relational
databases and Hadoop. This research paper also gives reason
of why Big Data and Hadoop.
General Terms
Data Explosion, Big Data, Big Data Analytics, Hadoop, Hadoop
Distributed File System, MapReduce
Lecture given at the University of Catania on December 2nd, 2014.
Start from Big Data definitions, continue with real life examples of successful Big Data Projects, go a little bit deeper with Sentiment Analysis, and conclude with a brief overview of Big Data tools and Big Data with Microsoft.
Summary:
1. What is Big Data? (includes the 5Vs of Big Data)
2. Big Data Examples (includes 6 Real Life Examples and comments on Privacy concerns)
3. How to Tackle a Big Data Problem (my 4 Universal Steps to follow)
4. Sentiment Analysis (what is sentiment analysis? Why do we care? A Technique and a plan)
5. Big Data tools (Hadoop, Hadoop Ecosystem, Hive, Pig, Sqoop, Oozie; Azure HDInsight, Excel Power Query, Power Pivot, Power View, Power Map)
From the webinar presentation "Data Science: Not Just for Big Data", hosted by Kalido and presented by:
David Smith, Data Scientist at Revolution Analytics, and
Gregory Piatetsky, Editor, KDnuggets
These are the slides for David Smith's portion of the presentation.
Watch the full webinar at:
http://www.kalido.com/data-science.htm
JIMS IT Flash , a monthly newsletter-An Initiative by the students of IT Department, shares the knowledge to its readers about the latest IT Innovations, Technologies and News.Your suggestions, thoughts and comments about latest in IT are always welcome at itflash@jimsindia.org.
Visit Website : http://jimsindia.org/
Data Science For Social Scientists WorkshopIan Hopkinson
The slides from a Workshop presentation on Data Science and Big Data given to academic social scientists. Lots of links to sources, should be interesting to those outside the original target field.
Using AI to Solve Data and IT Complexity -- And Better Enable AIDana Gardner
A discussion on how the rising tidal wave of data must be better managed, and how new tools are emerging to bring artificial intelligence to the rescue.
Using big data and implementing hadoop is a trend that people jump all to quickly to. Instead understanding the run time complexity of one's algorithms, reducing said complexity and managing the process from start to finish in a lean and agile way can yield massive cost savings - or save your organization.
Big Data and the Social Sciences
Ex-Google engineer Abe Usher presents a talk about Big Data technology and methods applicable to social science.
Participants will learn techniques that are used by Google engineers to collect, clean, analyze, and visualize Big Data.
Additionally Mr. Usher will provide URLs to sample data, open source applications, and code to those interested in applying these Big Data methods themselves.
Booz Allen Hamilton created the Field Guide to Data Science to help organizations and missions understand how to make use of data as a resource. The Second Edition of the Field Guide, updated with new features and content, delivers our latest insights in a fast-changing field. http://bit.ly/1O78U42
Big Data [sorry] & Data Science: What Does a Data Scientist Do?Data Science London
What 'kind of things' does a data scientist do? What are the foundations and principles of data science? What is a Data Product? What does the data science process looks like? Learning from data: Data Modeling or Algorithmic Modeling? - talk by Carlos Somohano @ds_ldn at The Cloud and Big Data: HDInsight on Azure London 25/01/13
The data sets you are about to analyze are only as good and valid as the methodology used to gather the data and create the data set. The presentation by Tom Johnson and Cheryl Phillips was made at the 2012 meeting of the National Institute for Computer-Assisted Reporting, Feb. 2012, in St. Louis.
James Dixon has a unique perspective on the big data space - he coined the term "data lake." In this on-demand webinar the Big Data Maverick talks big data - watch to learn more about the technology landscape and evolving use cases. He covers topics such as:
- What are today's technologies of choice - where did they come from and why?
- Why is the emergence and definition of these use cases so important?
- What technologies are likely to come next?
- Why did the data explosion start and will it continue?
- Why are data scientists in such huge demand?
- What is the role of open source in big data, and the role of big data in open source?
Hiring data scientists and deploying Hadoop is not enough. Your company needs a data driven culture, based on values such as honesty, democracy, creativity and strategy. Your company also needs good data engineering and good experimentation practices.
Big Data and Data Science: The Technologies Shaping Our LivesRukshan Batuwita
Big Data and Data Science have become increasingly imperative areas in both industry and academia to the extent that every company wants to hire a Data Scientist and every university wants to start dedicated degree programs and centres of excellence in Data Science. Big Data and Data Science have led to technologies that have already shaped different aspects of our lives such as learning, working, travelling, purchasing, social relationships, entertainments, physical activities, medical treatments, etc. This talk will attempt to cover the landscape of some of the important topics in these exponentially growing areas of Data Science and Big Data including the state-of-the-art processes, commercial and open-source platforms, data processing and analytics algorithms (specially large scale Machine Learning), application areas in academia and industry, the best industry practices, business challenges and what it takes to become a Data Scientist.
Using AI to Solve Data and IT Complexity -- And Better Enable AIDana Gardner
A discussion on how the rising tidal wave of data must be better managed, and how new tools are emerging to bring artificial intelligence to the rescue.
Using big data and implementing hadoop is a trend that people jump all to quickly to. Instead understanding the run time complexity of one's algorithms, reducing said complexity and managing the process from start to finish in a lean and agile way can yield massive cost savings - or save your organization.
Big Data and the Social Sciences
Ex-Google engineer Abe Usher presents a talk about Big Data technology and methods applicable to social science.
Participants will learn techniques that are used by Google engineers to collect, clean, analyze, and visualize Big Data.
Additionally Mr. Usher will provide URLs to sample data, open source applications, and code to those interested in applying these Big Data methods themselves.
Booz Allen Hamilton created the Field Guide to Data Science to help organizations and missions understand how to make use of data as a resource. The Second Edition of the Field Guide, updated with new features and content, delivers our latest insights in a fast-changing field. http://bit.ly/1O78U42
Big Data [sorry] & Data Science: What Does a Data Scientist Do?Data Science London
What 'kind of things' does a data scientist do? What are the foundations and principles of data science? What is a Data Product? What does the data science process looks like? Learning from data: Data Modeling or Algorithmic Modeling? - talk by Carlos Somohano @ds_ldn at The Cloud and Big Data: HDInsight on Azure London 25/01/13
The data sets you are about to analyze are only as good and valid as the methodology used to gather the data and create the data set. The presentation by Tom Johnson and Cheryl Phillips was made at the 2012 meeting of the National Institute for Computer-Assisted Reporting, Feb. 2012, in St. Louis.
James Dixon has a unique perspective on the big data space - he coined the term "data lake." In this on-demand webinar the Big Data Maverick talks big data - watch to learn more about the technology landscape and evolving use cases. He covers topics such as:
- What are today's technologies of choice - where did they come from and why?
- Why is the emergence and definition of these use cases so important?
- What technologies are likely to come next?
- Why did the data explosion start and will it continue?
- Why are data scientists in such huge demand?
- What is the role of open source in big data, and the role of big data in open source?
Hiring data scientists and deploying Hadoop is not enough. Your company needs a data driven culture, based on values such as honesty, democracy, creativity and strategy. Your company also needs good data engineering and good experimentation practices.
Big Data and Data Science: The Technologies Shaping Our LivesRukshan Batuwita
Big Data and Data Science have become increasingly imperative areas in both industry and academia to the extent that every company wants to hire a Data Scientist and every university wants to start dedicated degree programs and centres of excellence in Data Science. Big Data and Data Science have led to technologies that have already shaped different aspects of our lives such as learning, working, travelling, purchasing, social relationships, entertainments, physical activities, medical treatments, etc. This talk will attempt to cover the landscape of some of the important topics in these exponentially growing areas of Data Science and Big Data including the state-of-the-art processes, commercial and open-source platforms, data processing and analytics algorithms (specially large scale Machine Learning), application areas in academia and industry, the best industry practices, business challenges and what it takes to become a Data Scientist.
Implementation of application for huge data file transferijwmn
Nowadays big data transfers make people’s life difficult. During the big data transfer, people waste so
much time. Big data pool grows everyday by sharing data. People prefer to keep their backups at the cloud
systems rather than their computers. Furthermore considering the safety of cloud systems, people prefer to
keep their data at the cloud systems instead of their computers. When backups getting too much size, their
data transfer becomes nearly impossible. It is obligated to transfer data with various algorithms for moving
data from one place to another. These algorithms constituted for transferring data faster and safer. In this
Project, an application has been developed to transfer of the huge files. Test results show its efficiency and
success.
This is an introduction to text analytics for advanced business users and IT professionals with limited programming expertise. The presentation will go through different areas of text analytics as well as provide some real work examples that help to make the subject matter a little more relatable. We will cover topics like search engine building, categorization (supervised and unsupervised), clustering, NLP, and social media analysis.
Creating a Data-Driven Government: Big Data With PurposeTyrone Grandison
The U.S. Department of Commerce collects, processes and disseminates data on a range of issues that impact our nation. Whether it's data on the economy, the environment, or technology, data is critical in fulfilling the Department's mission of creating the conditions for economic growth and opportunity. It is this data that provides insight, drives innovation, and transforms our lives. The U.S. Department of Commerce has become known as "America's Data Agency" due to the tens of thousands of datasets including satellite imagery, material standards and demographic surveys.
But having a host of data and ensuring that this data is open and accessible to all are two separate issues. The latter, expanding open data access, is now a key pillar of the Commerce Department's mission. It was this focus on enhancing open data that led to the creation of the Commerce Data Service (CDS).
The mission at the Commerce Data Service is to enable more people to use big data from across the department in innovative ways and across multiple fields. In this talk, I will explore how we are using big data to create a data-driven government.
This talk is a keynote given at the Texas tech University's Big Data Symposium.
Learn How to Configure Cisco Data Center Core Networking(Handouts).pdfTuan Yang
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Click here to watch the recorded session: https://bit.ly/3GDpNdx
Best Practices to Cybersecurity Vulnerability Management,.pdfTuan Yang
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Watch here- https://bit.ly/3g2Z5PZ
Defense Against Multi-Network Breaches.pdfTuan Yang
This live webinar will empower your teams to handle and respond to external security incidents and insider threats effectively. Acquire the required skills to defend your organization against multi-stage network breaches by deploying the appropriate countermeasures.
Watch here - https://bit.ly/3fiIOGj
Cybersecurity Incident Handling & Response in Under 40 Minutes.pdfTuan Yang
This live webinar will empower your teams to handle and respond to external security incidents and insider threats effectively. Acquire the required skills to effectively develop, implement, and manage an incident response capability to minimize the damage that a cyberattack can inflict.
Watch here - https://bit.ly/3zLbcrc
An Introduction to CompTIA Security+ - SY0-601.pdfTuan Yang
This live webinar will provide your teams with critical insights into the different methods of assessing your organization's security posture and recommending and implementing appropriate security solutions.
Watch this session to give your teams a rundown on the most core technical skills in risk assessment and management, incident response, forensics, enterprise networks, hybrid/cloud operations, and security controls.
Watch here -https://bit.ly/3N4DeT1
CCNP Enterprise Networks Move One Step Closer to Advanced Networking(Handout)...Tuan Yang
Master essential network concepts to pass the CCNP ENCOR (350-401) exam for the CCNP Enterprise certification. Reserve your spot in our upcoming Cisco Enterprise Networks webinar that will give you the knowledge and skills needed to manage enterprise wired and wireless networks. Learn to implement security principles, automation, and programmability within an enterprise network.
Interested in knowing More? watch the complete video click on this Link
https://bit.ly/3Gg0s76
Empower your IT teams with the latest cutting-edge technologies used for software-defined networking!
Watch our Free 40-minute CompTIA Network+ N10-008 webinar where your teams will get information about the on-demand networking skills and capabilities to develop enterprise-level network solutions, diagnose performance issues, and mitigate risks.
Watch Now: https://bit.ly/3NycuLh
What is new with CompTIA PenTest+- PT0 002 - NetCom Learning.pdfTuan Yang
Organizations can protect their sensitive data and secure their IT infrastructure by upskilling their existing IT teams in Pentesting.
Watch our FREE 40-minute live PenTest+ PT0 002 webinar to upskill your teams to the latest and updated penetration testing practices, vulnerability assessment, and management skills required to determine the network’s resiliency against attacks.
Watch now: https://bit.ly/3jTzhV7
Agile Fundamentals One Step Guide for Agile Projects(Handout).pdfTuan Yang
Take the leap and move to Agile for seamless project management.
Join this FREE session to explore the world of Agile and discover some common mistakes and misconceptions about the Agile method. An introduction to SCRUM is also covered in the session, delivered by our certified trainer.
Interested in knowing more click on the given Link to watch the recorded session for Free : https://bit.ly/3sMHlwa
Organizations are increasingly leveraging AWS cloud and DevOps practices to deliver faster and better customer service.
Watch our Master Class (2 Hours) on AWS DevOps that is curated to help your team master the most common DevOps patterns, practices, and tools required to develop, deploy, and maintain applications and services at high velocity on AWS.!
Watch Now: https://bit.ly/3DSs0y7
Certified Ethical Hacker v11 First Look.pdfTuan Yang
Do you want to create a robust cybersecurity strategy for your team and secure your networks and other assets from malicious threats? The EC-Council CEH v11 masterclass will give your IT teams a rundown on the latest commercial-grade hacking tools, techniques, and methods to spot vulnerabilities in your IT infrastructure and thereby safeguard your organization from cyber-threats.
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An overview of agile methods and agile project management Tuan Yang
With the widespread adoption of Agile methods, organizations can now focus on frequent delivery of value and ensure the final product fulfills their customer needs. Agile has enabled businesses to be more responsive to the market and the customers by promptly addressing their needs and demands to increase the value delivery to the stakeholder and reduce the risk of developing products that no longer meet the market/stakeholder needs.
Interested in knowing more?? watch our recorded session here: https://www.netcomlearning.com/webinars/9916/agile-project-management.html?WebinarID=951&advid=1315
The essentials of ccna master the latest principles(handouts)Tuan Yang
The Cisco portfolio aims to serve networking professionals by developing their knowledge in the field of IT networking. The updated Cisco Certified Network Associate (CCNA) certification includes a wide range of fundamentals based on software development skills, the latest networking technologies, and job roles.
Interested in knowing more click on the given Link to watch our recorded session.
https://www.netcomlearning.com/webinars/9918/essentials-latest-principles.html?WebinarID=953
Unlock the value of itil 4 with 5 key takeaways that can be used today(handout)Tuan Yang
In the era when technology has taken the spotlight for most organizations undergoing digital transformation, IT service management has a more in-depth meaning and holistic view altogether. It now involves solution innovation, budget transparency, strategic planning, customer relationship management, and much more. To sustain a business and stay competitive in this rapidly expanding ecosystem for technology-enabled solutions, investing in your ITIL®4 employee upskilling program is critical.
Interested in knowing more? Click on the given link to watch our reorded video of this session
https://www.netcomlearning.com/webinars/9914/itil-used-today.html?WebinarID=950&advid=1315
CHFI First Look by NetCom Learning - A Free Course on Digital ForensicsTuan Yang
With the increase in cybercrimes, it is imperative for organizations to build an efficient in-house digital forensics team to safeguard theirs and their stakeholders’ security posture. This FREE CHFI v10 2.5-hour live Masterclass trains your existing teams with the latest investigation practices using groundbreaking digital forensics technologies. It upskills them to use threat intelligence to anticipate and investigate complex security threats, record and report cybercrimes to prevent future attacks.
The CHFI v10 Masterclass is conducted by an EC-Council Certified Master trainer who takes you through the latest technology, including IoT Forensics, Dark Web Forensics, Cloud Forensics (including Azure and AWS), Network Forensics, Database Forensics, Mobile Forensics, Malware Forensics (including Emotet and Eternal Blue), OS Forensics, RAM forensics, and Tor Forensics.
Watch now: https://www.netcomlearning.com/webinars/9895/learning-digital-forensics.html?WebinarID=944&advid=1315
Master Class: Understand the Fundamentals of Architecting on AWSTuan Yang
The Architecting on AWS Master Class is a complimentary Instructor-led Virtual session that covers the fundamentals of building IT infrastructure on the AWS platform. In this session, learners will explore the best practices and design patterns for architecting optimal IT solutions on the AWS Cloud. Moreover, they will also get an opportunity to build and explore a variety of infrastructures through guided discussions and hands-on activities, and much more!.
Watch now : https://bit.ly/3J9HQpB
How to Deploy Microsoft 365 Apps and Workloads.Tuan Yang
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Become a part of this FREE webinar to receive thorough guidance towards managing Microsoft 365 identity and services.
Watch now : https://www.netcomlearning.com/webinars/9879/microsoft-365-apps.html?WebinarID=907&advid=1315
Learn to utilize cisco unified communications for better collaboration( hando...Tuan Yang
Disruption in communication is a common problem for businesses and organizations that affect overall productivity, collaboration, and revenue. Establish your communications infrastructure and enable your teams to connect easily with the Cisco Unified Communications Manager. It features IP telephony, integrated messaging, high-definition video, instant message, and presence.
Interested in knowing more?
Watch the recorded video by following the given link: https://www.netcomlearning.com/webinars/9917/cisco-better-collaboration.html?WebinarID=952
NetCom learning webinar how to manage your projects with disciplined agile (d...Tuan Yang
Looking for ways to enhance your team’s agility? Improve your team’s way of working with Disciplined Agile (DA). Explore the latest strategies to improve your processes and boost your team with the Disciplined Agile tool kit.
Join this FREE webinar to learn foundational agile and lean methods supported by Disciplined Agile and practice using the tool kit to solve problems. This training will prepare your teams for the Disciplined Agile Scrum Master (DASM) exam and start implementing Disciplined Agile immediately
NetCom learning webinar cnd first look by netcom learning - network defender freTuan Yang
Any individual planning to protect, detect, and respond to network attacks undoubtedly opts for Certified Network Defender (CND). Certified Network Defender is the world’s most advanced network defense certification that covers the most current network security domains.
Claim your spot now for CND Master Class (2.5 Hour) – A special and complementary offer to NetCom Learning and EC-Council clients.
The CND Master Class is a complimentary Instructor-led virtual session designed to help you understand the most popular modules in CND, such as Network security controls, IDS/IPS sensors, Wireless network threats, and much more, along with live lab demonstrations.
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
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Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
Building Your Employer Brand with Social MediaLuanWise
Presented at The Global HR Summit, 6th June 2024
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Understanding User Needs and Satisfying ThemAggregage
https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
In this webinar, we won't focus on the research methods for discovering user-needs. We will focus on synthesis of the needs we discover, communication and alignment tools, and how we operationalize addressing those needs.
Industry expert Scott Sehlhorst will:
• Introduce a taxonomy for user goals with real world examples
• Present the Onion Diagram, a tool for contextualizing task-level goals
• Illustrate how customer journey maps capture activity-level and task-level goals
• Demonstrate the best approach to selection and prioritization of user-goals to address
• Highlight the crucial benchmarks, observable changes, in ensuring fulfillment of customer needs
5. Today’s Agenda
If you ask people what BIG DATA is they often say it is about a lot of
data. But the world has ALWAYS had a lot of data! It is about
datafication – a word so new that even spellcheck functions don’t
know it’s a real word!
Today’s Agenda
How BIG DATA changes career paths of even the most unsuspecting!
How BIG DATA changes the way business decision are made.
How BIG DATA changes who makes the decisions & the reshuffling balance of power.
What BIG DATA skills can you bring to the office tomorrow to increase your value.
6. The experienced
Data scientists &
those managers
who leverage
them.
BIG DATA is a management tool even if you have other employees perform
the coding.
BIG DATA is as ubiquitous as the internet.
Gut instinct now
of less value
7. Datafication
A modern technological trend turning
many aspects of our life into computerized
data that transforms respective
information into new forms of value.
15. Just as voice mail and email obviated the manager’s need of
secretarial functions algorithms eating BIG DATA are now
obviating tactical managerial functions.
Transactional
Work
Tactical
Work
16. Strategy needs to consume data.
Data, without strategy, has little value.
17. Modified sine wave
Sine wave
What is the
difference between
analogue
and
digital?
Datafication
only possible due to digitalization of
analogue informaton.
41. Shigeomi Koshimizu datafied body contour (body,
posture, weight distribution, etc.).
Quantified “sitting down.” Measured pressure drivers
exert at 360 different points via sensors (0 to 256 scale).
Quality Quantify
Datafication Turns Everything into a Data Point
46. Place sensors on parts to identify heat
& vibrational patterns associated with
failures leading to breakdowns.
Can predict a breakdown before it happens &
replace parts in garage & not on side of the road.
Data does not tell us why the part is in trouble
It reveals enough to know the what
Can guide investigations into discovering underlying cause
Causation to Correlation
47. When saving lives, knowing something is likely
to occur more important than knowing why.
Eventually, “the why” will be investigated.
48. Can Big Data Save Babies?
Used Big Data to spot infections in premature
babies before symptoms appear.
Information flow >1000 data points per second
Discovered correlations between very minor changes and more serious problems
49. Big Data Predicts Epidemics Better than CDC
CDC tracks patient visits to clinics
Information suffers from 2 week reporting lag
Google took 50 mm most commonly searched terms from 2003 – 2008
Compared them against historical influenza data from CDC.
Searches then correlated with CDC’s data on outbreaks of flu.
50. How All Three Shifts Are Illustrated
Small to All
Ran 100% of US searches for 6 years through an algorithm
identified 45 searches correlated against CDC data on flu outbreak (runny nose,
body aches, etc. - ).
Clean to Messy
Searches imperfect with misspellings, incomplete phrases & included healthy
people searching on behalf of others.
Causation to Correlation
Will anyone claim typing symptoms in a search engine gives you the flu?
Big Data via searches predicts outbreaks real time compared to
CDC’s traditional data analytics that lag 2 week lag
52. NYC created database of 900K buildings augmented
by troves of data collected by 19 agencies:
• Records of tax liens
• Anomalies in utility usage
• Service cuts
• Missed payments
• Ambulance visits
• Local crime rates
• Rodent complaints
• Etc.
Big Data
increases the
productivity of
each inspector
53. How Did They Do It?
1. Compared database (5 years of building fires)
2. Ranked by severity
3. Observed correlation. (Not causality!)
4. Data scientists triaged complaints for inspections.
Concluded that a building’s:
type & age main predictor of fire; other variables superfluous
permit for exterior brickwork correlated lower risk of fire.
Result: Vacate orders increased from 13% to 70%
Building characteristics did not cause fire but were correlated with fire risk.
54. Spending money on the exterior
correlates for an up to code interior
But just the intent to begin work
correlates enough to predict an outcome
55.
56. Pull disparate sets of texts & puts them into a
“point of singularity.”
Currently ae 70% of data is text. Pictures to be
quantified under separate protocols.Create a Corpus body of text to
be analyzed.
R, for example, has set of functions to clean up a Corpus by excluding data points
superfluous to analysis. (Delete commas, periods & words such as but & and, etc. –
R cleans up files by reducing corpus to primary words crucial to analysis.
Truncates words with common stem this is called stemming. (e.g. engineer &
engineering both become the same word. Think of mathematical analogy of
number factoring versus least common dominator.
1
2
3
57. 4Mathematical matrix to describes frequency of
terms that occur in a collection of documents.
Rows correspond to documents in the collection
& columns correspond to terms.
Create a document term matrix that measures
frequency of words that remain after corpus
“cleanup” discussed in previous slide.
4
You are left with primary
outputs that enable you to do
counts in each cell.
You’ve datafied or quantified
words that others only qualify
that prevents analysis.
You can now do lots of
interesting stuff!
Term document matrix cluster
analysis reveals prevalent themes.
Document-term matrix
58. Cluster analysis review at how all your words cluster in your data matrix cluster.
The result of this analysis is that we can reduce our matrix to fewer columns.
Font Size & even
Color embedded
with information.
This information
is actionable.
59. For centuries we have manually counted sets of
words to determining their frequencies.
Zipf's law states that given some corpus of
natural language utterances, the frequency of any
word is inversely proportional to its rank in the
frequency table.
Used for resumes as a way to
increase information density – to
be covered at a future webinar.
60. With these data sets, we can run sentiment analysis!
Determine occurrence rate of certain themes qualified as opinions.
To determine if people like a restaurant we’d look at words
reviewers used via social media in the comment section.
Love
10
Hate
-10
Dislike
- 7
Qualitatively, we quantify the
weakness or strength of these signals.
We determine words that correlate to
having disliked or liked the movie and
to what degree along a predetermined
discreet continuum .
Pre-establish words in
narrative responses now
embedded in clusters
signal positive or negative
statements about a movie,
restaurant or Hammacher
Schlemme customer
review.
Like
7
61. The difference between analog and digital signals is that
an analog signal is a continuous electrical message while digital is a
series of values that represent information.
62. To determinate what traits can predict future outcomes, look at historical data.
Correlate “judgements” to see if they can predict from groupings, meaning which
ones predict against other dataset.
This is cross validation and is determined by looking at historical data sets.
Master Algorithms script other
algorithms on an at need basis
free of human interaction.
Machine to machine (M2M) technology that
enables networked devices to exchange
information & perform actions without the
manual assistance of humans.
This is what is replacing traditional
managerial jobs.
Firms that still employ these types of
jobs feel less pressure to keep salaries at
pace with inflation over time.
63. Machine learning can test statistical models. ….. for
example, testing against known political party membership
& updating the algorithm as new data comes in.
In M2M, we let data points come in, refresh & update to
automatically script even more accurate algorithm.
Can infer your political affliction by
first 19 likes even if those likes are
completely apolitical.
64. What Can I Do Tomorrow Morning at the Office?
1. Take inventory of the data you already collect
A. Internal data.
B. External data accessed from FOI Act – to be discuss subsequently.
C. External data legally purchased from vendors (Yelp, FB, Double Click, etc.) -
D. Create glossary of data definition. (headcount example)
2. Determine decisions to derive from Big Data
A. Select most pressing problem based on Pareto 80/20 rule.
B. In plain English, state your problem statement.
C. Write down independent variables (inventory set of data at your disposal.)
D. Determine dependent variable (preferred outcome to your problem statement.)
3. Write down your hypothesis
4. Contact your IT or data science department. If not …..
5. Contract STEM grad students & turn them into data scientists
6. Code your hypothesis
Even if I hate coding and math!
QuantitativeSkills
65. The Freedom of Information
Act (FOIA), 5 U.S.C. § 552, is a
federal law that allows for
disclosure of previously
unreleased information controlled
by the US government.
Correlate to external
data with troves of data
from US gov’t.
(Examples: MTA apps)!
Enacted in 1966, allows
U.S. citizens to petition
government for official
information.
66. Business problem you are trying to solve in plain language stated as a
problem statement
State it in a hypothesis.
Collect Data, from systems
already set in place.
Test hypothesis
67.
68. Coding is
the new
literacy.
Coding Classes.
Most are on-line, a
few on-site.
Some free & some
at cost.
Most of you will not be competing
with other coders – just other
Marketing, HR or Financial
professionals who know nothing
about coding!
69. Should I learn to read?
Should I learn how to use the internet?
Should I learn about coding?
70.
71.
72. A little about R• R – Free
• Contains embedded tools to pull external data
• Tools that scrape data from any website, (Reuters, as one example)
• Text Mining: Knime (another software tool for text mining) – you can
download it. (pronounced like 9 but with a “m”. Has graphical interface
instead of using a scripting language.)
• Remember, Word Clouds is an example of text mining.
• R was written in C language – coders wrote functions in “C” to create
macros in R to pull data - analogous to a macro in excel.
• R will let you pull data into a corpus.
KNIME - Konstanz Information Miner open source data analytics, reporting & integration
platform. It integrates various components for machine learning & data mining.
73. You’re not competing against other coders.
You’re competing against others in your field that know
nothing about coding.
75. Datafication turns all aspects of life & turns it into data.
Google’s
augmented reality
glasses datafy the
gaze
Twitter datafies
stray thoughts
LinkedIn
datafied
professional
networks
77. Download a Coupon Texted to You
• What aisles did you walk down or ignore?
• In what sequence did you browse the aisles?
• How long were you in the store?
• What is length of time between store visits?
• How long did you linger in front of the cereal aisle?
• When you checked out, did cereal wind up your cart? How many boxes?
Compare viewing patterns with what wound up in your shopping cart.
Script algorithms to better predicts independent variables (what
they stock) with the depend variable of revenue thresholds.
78. So, what’s my role again in a Big Data World?
As Big Data becomes ubiquitous what skills mark points of differentiations?
Discovering latent needs & intuition that goes against the facts?
The mere ability to define a problem proceeds its solution
Big Data has a quantitative & qualitative side
And if you hate math - qualitative skills to harness
Develop observational skills to separate signal from the noise
Take inventory of existing data
Learn to develop hypotheses to test
Learn how to access external data (FOIA. LinkedIn, etc. - )
Liaison between internal ERP data & external data
Network with STEM student to contract data scientists
82. Recommended Courses
NetCom Learning offers a comprehensive portfolio for Big Data training
options. Please see below the list of recommended courses with upcoming
schedules:
Introduction to Python Programming
Essential Python
Introduction to Python Scripting: for the Security Analyst
Check out more Big Data training options with NetCom Learning. CLICK HERE
83. Our live webinars will help you to touch base a wide variety of IT, soft skills and business
productivity topics; and keep you up to date on the latest IT industry trends. Register
now for our upcoming webinars:
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How Machine Learning Helps Organizations to Work More Efficiently? – April 11
Why Certified Associate in Project Management (CAPM) and How to Prepare? - April 18
A Brief About DevOps and its Practices – April 20
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