The white paper discusses how enterprises are facing exponentially growing amounts of data that is breaking down traditional storage architectures. It outlines NetApp's approach to addressing big data challenges through what it calls the "Big Data ABCs" - analytics, bandwidth, and content. This allows customers to gain insights from massive data sets, move data quickly for high-performance applications, and store large amounts of content for long periods without increasing complexity. NetApp provides solutions to help enterprises take advantage of big data and turn it into business value.
Big Data Information Architecture PowerPoint Presentation SlideSlideTeam
Feel enthralled by all the attention by our Big data information architecture PowerPoint presentation slide offers. While designing the perfect framework for a durable system, it could get tricky to represent all the data in a systematic manner. Manifesting complex ideas in a simplified manner doesn't always comes handy. That's the reason we have well-researched formats and designs for professional and prolonging solutions. Our team of experts makes sure that all the PPT slides are framed to work for the best of the client. Numerous icons and images are used here for visual engagement. We have covered up every viewpoint of data structure possible, including, data market forecast, financial aspects, social media approach and different comparisons used in data analysis for an out of box view. Our sole and intriguing PowerPoint slides are your gateway to progress and serves you in holding your viewer's consideration towards the concept of discernment and improves the quality and accuracy of the business processes. Discourage injudicious comments with our Big Data Information Architecture PowerPoint Presentation Slide. Ensure folks adhere to the decorum.
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.
Big Data Information Architecture PowerPoint Presentation SlideSlideTeam
Feel enthralled by all the attention by our Big data information architecture PowerPoint presentation slide offers. While designing the perfect framework for a durable system, it could get tricky to represent all the data in a systematic manner. Manifesting complex ideas in a simplified manner doesn't always comes handy. That's the reason we have well-researched formats and designs for professional and prolonging solutions. Our team of experts makes sure that all the PPT slides are framed to work for the best of the client. Numerous icons and images are used here for visual engagement. We have covered up every viewpoint of data structure possible, including, data market forecast, financial aspects, social media approach and different comparisons used in data analysis for an out of box view. Our sole and intriguing PowerPoint slides are your gateway to progress and serves you in holding your viewer's consideration towards the concept of discernment and improves the quality and accuracy of the business processes. Discourage injudicious comments with our Big Data Information Architecture PowerPoint Presentation Slide. Ensure folks adhere to the decorum.
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.
Global Business Intelligence (BI) software vendor, Yellowfin, and Actian Corporation, pioneers of the record-breaking analytical database Vectorwise, will host a series of Big Data and BI Best Practices Webinars.
These are the slides from that presentation.
The Big Data & BI Best Practices Webinars and associated slides examine the phenomenal growth in business data and outline strategies for effectively, efficiently and quickly harnessing and exploring ‘Big Data’ for competitive advantage.
Simplifying Big Data Analytics for the BusinessTeradata Aster
Tasso Argyros, Co-Founder & Co-President, Teradata Aster presents at the 2012 Big Analytics Roadshow.
The opportunity exists for organizations in every industry to unlock the power of iterative, big data analysis with new applications such as digital marketing optimization and social network analysis to improve their bottom line. Big data analysis is not just the ability to analyze large volumes of data, but the ability to analyze more varieties of data by performing more complex analysis than is possible with more traditional technologies. This session will demonstrate how to bring the science of data to the art of business by empowering more business users and analysts with operationalized insights that drive results. See how data science is making emerging analytic technologies more accessible to businesses while providing better manageability to enterprise architects across retail, financial services, and media companies.
Big Data Tutorial For Beginners | What Is Big Data | Big Data Tutorial | Hado...Edureka!
This Edureka Big Data tutorial helps you to understand Big Data in detail. This tutorial will be discussing about evolution of Big Data, factors associated with Big Data, different opportunities in Big Data. Further it will discuss about problems associated with Big Data and how Hadoop emerged as a solution. Below are the topics covered in this tutorial:
1) Evolution of Data
2) What is Big Data?
3) Big Data as an Opportunity
4) Problems in Encasing Big Data Opportunity
5) Hadoop as a Solution
6) Hadoop Ecosystem
7) Edureka Big Data & Hadoop Training
Big Data Applications | Big Data Analytics Use-Cases | Big Data Tutorial for ...Edureka!
( ** Hadoop Training: https://www.edureka.co/hadoop ** )
This Edureka tutorial on "Big Data Applications" will explain various how Big Data analytics can be used in various domains. Following are the topics included in this tutorial:
1. Why do we need Big Data Analytics?
2. Big Data Applications in Health Care.
3. Big Data in Real World Clinical Analytics.
4. Big Data Analytics in Education Sector.
5. IBM Case Study in Education Section.
6. Big data applications and use cases in E-Commerce.
7. How Government uses Big Data analytics?
8. How Big data is helpful in E-Government Portal?
9. Big Data in IOT.
10. Smart city concept.
11. Big Data analytics in Media and Entertainment
12. Netflix example in Big data
13. Future Scope of Big data.
Check our complete Hadoop playlist here: https://goo.gl/hzUO0m
A top-down look at current industry and technology trends for Big Data, Data Analytics and Machine Learning (cognitive technologies, AI etc.). New slides added for Ark Group presentation on 1st December 2016.
Analytics: The Real-world Use of Big DataDavid Pittman
UPDATE: Register now to participate in the 2013 survey: http://ibm.com/2013bigdatasurvey IBM’s Institute for Business Value (IBV) and the University of Oxford released their information-rich and insightful report “Analytics: The real-world use of big data.” Based on a survey of over 1000 professionals from 100 countries across 25+ industries, the report provides insights into organizations’ top business objectives, where they are in their big data journey, and how they are advancing their big data efforts. It also provides a pragmatic set of recommendations to organizations as they proceed down the path of big data. For additional information, including links to a podcast with one of the lead researchers and a link to download the full report, visit http://ibm.co/RB14V0
Big Data Characteristics And Process PowerPoint Presentation SlidesSlideTeam
We present you content-ready big data characteristics and process PowerPoint presentation that can be used to present content management techniques. It can be presented by IT consulting and analytics firms to their clients or company’s management. This relational database management PPT design comprises of 53 slides including introduction, facts, how big is big data, market forecast, sources, 3Vs and 5Vs small Vs big data, objective, technologies, workflow, four phases, types, information analytics process, impact, benefits, future, opportunities and challenges etc. Our data transformation PowerPoint templates are apt to present various topics such as information management concepts and technologies, transforming facts with intelligence, data analysis framework, data mining, technology platforms, data transfer and visualization, content management, Internet of things, data storage and analysis, information infrastructure, datasets, technology and cloud computing. Download big data characteristics and process PPT graphics to make an impressive presentation. Develop greater goodwill with our Big Data Characteristics And Process PowerPoint Presentation Slides. Folks feel friendlier towards you.
Big Data Trends - WorldFuture 2015 ConferenceDavid Feinleib
David Feinleib's Big Data Trends presentation from the World Future Society's Annual Conference, WorldFuture 2015, held at the Hilton Union Square, San Francisco, California July 25, 2015.
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
Analytics 3.0 Measurable business impact from analytics & big dataMicrosoft
Presentación del evento de Harvard Business Review sobre Analítica y Big Data
(15 de Octubre 2013)
"Featuring analytics expert Tom Davenport, author of Competing on Analytics, Analytics at Work, and the just-released Keeping Up with the Quants" 
Global Business Intelligence (BI) software vendor, Yellowfin, and Actian Corporation, pioneers of the record-breaking analytical database Vectorwise, will host a series of Big Data and BI Best Practices Webinars.
These are the slides from that presentation.
The Big Data & BI Best Practices Webinars and associated slides examine the phenomenal growth in business data and outline strategies for effectively, efficiently and quickly harnessing and exploring ‘Big Data’ for competitive advantage.
Simplifying Big Data Analytics for the BusinessTeradata Aster
Tasso Argyros, Co-Founder & Co-President, Teradata Aster presents at the 2012 Big Analytics Roadshow.
The opportunity exists for organizations in every industry to unlock the power of iterative, big data analysis with new applications such as digital marketing optimization and social network analysis to improve their bottom line. Big data analysis is not just the ability to analyze large volumes of data, but the ability to analyze more varieties of data by performing more complex analysis than is possible with more traditional technologies. This session will demonstrate how to bring the science of data to the art of business by empowering more business users and analysts with operationalized insights that drive results. See how data science is making emerging analytic technologies more accessible to businesses while providing better manageability to enterprise architects across retail, financial services, and media companies.
Big Data Tutorial For Beginners | What Is Big Data | Big Data Tutorial | Hado...Edureka!
This Edureka Big Data tutorial helps you to understand Big Data in detail. This tutorial will be discussing about evolution of Big Data, factors associated with Big Data, different opportunities in Big Data. Further it will discuss about problems associated with Big Data and how Hadoop emerged as a solution. Below are the topics covered in this tutorial:
1) Evolution of Data
2) What is Big Data?
3) Big Data as an Opportunity
4) Problems in Encasing Big Data Opportunity
5) Hadoop as a Solution
6) Hadoop Ecosystem
7) Edureka Big Data & Hadoop Training
Big Data Applications | Big Data Analytics Use-Cases | Big Data Tutorial for ...Edureka!
( ** Hadoop Training: https://www.edureka.co/hadoop ** )
This Edureka tutorial on "Big Data Applications" will explain various how Big Data analytics can be used in various domains. Following are the topics included in this tutorial:
1. Why do we need Big Data Analytics?
2. Big Data Applications in Health Care.
3. Big Data in Real World Clinical Analytics.
4. Big Data Analytics in Education Sector.
5. IBM Case Study in Education Section.
6. Big data applications and use cases in E-Commerce.
7. How Government uses Big Data analytics?
8. How Big data is helpful in E-Government Portal?
9. Big Data in IOT.
10. Smart city concept.
11. Big Data analytics in Media and Entertainment
12. Netflix example in Big data
13. Future Scope of Big data.
Check our complete Hadoop playlist here: https://goo.gl/hzUO0m
A top-down look at current industry and technology trends for Big Data, Data Analytics and Machine Learning (cognitive technologies, AI etc.). New slides added for Ark Group presentation on 1st December 2016.
Analytics: The Real-world Use of Big DataDavid Pittman
UPDATE: Register now to participate in the 2013 survey: http://ibm.com/2013bigdatasurvey IBM’s Institute for Business Value (IBV) and the University of Oxford released their information-rich and insightful report “Analytics: The real-world use of big data.” Based on a survey of over 1000 professionals from 100 countries across 25+ industries, the report provides insights into organizations’ top business objectives, where they are in their big data journey, and how they are advancing their big data efforts. It also provides a pragmatic set of recommendations to organizations as they proceed down the path of big data. For additional information, including links to a podcast with one of the lead researchers and a link to download the full report, visit http://ibm.co/RB14V0
Big Data Characteristics And Process PowerPoint Presentation SlidesSlideTeam
We present you content-ready big data characteristics and process PowerPoint presentation that can be used to present content management techniques. It can be presented by IT consulting and analytics firms to their clients or company’s management. This relational database management PPT design comprises of 53 slides including introduction, facts, how big is big data, market forecast, sources, 3Vs and 5Vs small Vs big data, objective, technologies, workflow, four phases, types, information analytics process, impact, benefits, future, opportunities and challenges etc. Our data transformation PowerPoint templates are apt to present various topics such as information management concepts and technologies, transforming facts with intelligence, data analysis framework, data mining, technology platforms, data transfer and visualization, content management, Internet of things, data storage and analysis, information infrastructure, datasets, technology and cloud computing. Download big data characteristics and process PPT graphics to make an impressive presentation. Develop greater goodwill with our Big Data Characteristics And Process PowerPoint Presentation Slides. Folks feel friendlier towards you.
Big Data Trends - WorldFuture 2015 ConferenceDavid Feinleib
David Feinleib's Big Data Trends presentation from the World Future Society's Annual Conference, WorldFuture 2015, held at the Hilton Union Square, San Francisco, California July 25, 2015.
This talk is an introduction to Data Science. It explains Data Science from two perspectives - as a profession and as a descipline. While covering the benefits of Data Science for business, It explaints how to get started for embracing data science in business.
Analytics 3.0 Measurable business impact from analytics & big dataMicrosoft
Presentación del evento de Harvard Business Review sobre Analítica y Big Data
(15 de Octubre 2013)
"Featuring analytics expert Tom Davenport, author of Competing on Analytics, Analytics at Work, and the just-released Keeping Up with the Quants" 
Si sono da poco conclusi i lavori di stesura della nuova specifica tecnica che definisce la procedura di asseverazione per i sistemi di automazione e controllo dell’edificio (BACS) come definiti dalla UNI EN 15232.
Data Analytics has become a powerful tool to drive corporates and businesses. check out this 6 Reasons to Use Data Analytics. Visit: https://www.raybiztech.com/blog/data-analytics/6-reasons-to-use-data-analytics
Becoming an analytics-driven organization helps companies reduce costs, increase
revenues and improve competitiveness, and this is why business intelligence and
analytics continue to be a top priority for CIOs. Many business decisions, however,
are still not based on analytics, and CIOs are looking for ways to reduce time to value
for deploying business intelligence solutions so that they can expand the use of
analytics to a larger audience of users.
Companies are also interested in leveraging the value of information in so-called big
data systems that handle data ranging from high-volume event data to social media
textual data. This information is largely untapped by existing business intelligence
systems, but organizations are beginning to recognize the value of extending the
business intelligence and data warehousing environment to integrate, manage, govern
and analyze this information.
Project 3 – Hollywood and IT· Find 10 incidents of Hollywood p.docxstilliegeorgiana
Project 3 – Hollywood and IT
· Find 10 incidents of Hollywood portraying IT security incorrectly
· You can use movies or TV episodes
· Write 2-5 paragraphs for each incident. Use supporting citations for each part.
· What has Hollywood portrayed wrong? Describe the scene and what is being shown. Make sure to state whether it is partially wrong or totally fictitious.
· How would you protect/secure against what they show (answers might include install firewall, load Antivirus etc.)
· Use APA formatting for your sources on everything.
· Make sure to put your name on assignment.
Big Data and Social Media
Colgate Palmolive
Agenda Of socail media use
Buisness intellegence and Social media concenpts
Intellegent organization
Data Anaylysis and Data trustworthiness
Conclusion
Buisness intellegence and Social media concenpts
No-Hassle Documentation
Gain Trusted Followers
Spy on Competition
Learn Customer Demographics
Research and Analyze Events
Advertise More Accurately
Intellegent organization
They consistently use (big) data proactively
They know exactly where they want to go: all-round vision
They continuously discuss business matters: alignment
They talk to each other regarding positive and negative performance
They know their customers through and through
They think and work in an agile way
Data Anaylysis and Data trustworthiness
Data completeness and accuracy
Data credibility
Data consistency
Data processing and algorithms
Data Validity
Conclusion
How Colgate benefit from Big Data and Social Media
Social media increases sales and customers
Big data shows popular trends and popular companies
All around they are both beneficial
Big Data can find trends that can benefit you greatly
Criteria
Title Page:
Name, Contact info, title of Presentation
Slide 1
Adenda : Topic you going to cover in order
Slide 2
Discuss how big data, social media concepts and knowledge to successfully create business intellegence (Support your bullets points with data, analysis, charts)
Slide 3
Describe how big data can be used to build an intelligent organization
Slide 4
Discuss the importance of data source trustworthiness and data analysis
Slide 5
Conclusion
Slide 6
Big Data And Business Intelligence
Business Value With Big Data
For business to survive in a competitive environment, organizational change requires improved governance, sponsorship, processes, and controls, in addition to new skill sets and technology all work in harmony to deliver the benefits of big data. See Fig. 13.2
Data science has taken the business world by storm. Every field of study and area of business has been affected as companies realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de fac to programming language for data science. Its flexibility, power, sophistication, and expressiveness have ma ...
How In-memory Computing Drives IT SimplificationSAP Technology
Discover how the in-memory technology of SAP HANA can reduce complexity and simplify the IT landscape to foster real-time results, innovation and lower costs.
Big data refers to huge set of data which is very common these days due to the increase of internet utilities. Data generated from social media is a very common example for the same. This paper depicts the summary on big data and ways in which it has been utilized in all aspects. Data mining is radically a mode of deriving the indispensable knowledge from extensively vast fractions of data which is quite challenging to be interpreted by conventional methods. The paper mainly focuses on the issues related to the clustering techniques in big data. For the classification purpose of the big data, the existing classification algorithms are concisely acknowledged and after that, k-nearest neighbour algorithm is discreetly chosen among them and described along with an example.
1.Introduction
2.Overview
3.Why Big Data
4.Application of Big Data
5.Risks of Big Data
6.Benefits & Impact of Big Data
7.Conclusion
‘Big Data’ is similar to ‘small data’, but bigger in size
But having data bigger it requires different approaches:
Techniques, tools and architecture
An aim to solve new problems or old problems in a better
way
Big Data generates value from the storage and processing
of very large quantities of digital information that cannot be
analyzed with traditional computing techniques.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
When stars align: studies in data quality, knowledge graphs, and machine lear...
Ab cs of big data
1. White Paper
The ABCs of Big Data –
Analytics, Bandwidth and Content
Richard Treadway and Ingo Fuchs, NetApp
March 2012 | WP-7147
EXECUTIVE SUMMARY
Enterprises are entering a new era of scale, where the amount of data processed and stored
is breaking down every architectural construct in the storage industry. NetApp delivers
solutions that address big data scale through the “Big Data ABCs” – analytics, bandwidth and
content – enabling customers to gain insight into massive datasets, move data quickly, and
store important content for long periods of time without increasing operational complexity.
2. 2 The ABCs of Big Data – Analytics, Bandwidth and Content
TABLE OF CONTENTS
1 ENTERING A NEW ERA OF BIG SCALE............................................................................................. 3
2 SOURCES OF BIG SCALE ................................................................................................................... 3
3 SHORTCOMINGS OF CURRENT APPROACHES............................................................................... 3
4 INFRASTRUCTURE BREAKING POINTS............................................................................................ 4
5 THE ABCS OF DATA AT SCALE ......................................................................................................... 5
6 SUMMARY ............................................................................................................................................. 5
LIST OF FIGURES
Figure 1) Where is your infrastructure breaking? ......................................................................................... 4
Figure 2) The NetApp Big Data ABCs: Analytics, Bandwidth, and Content ................................................. 5
3. 3 The ABCs of Big Data – Analytics, Bandwidth and Content
1 ENTERING A NEW ERA OF BIG SCALE
In the 1990s, IT teams were focused on obtaining optimal performance from the key applications and
infrastructure of their enterprises. These siloed “systems of record” typically did a good job of keeping
track of vital information, but they were very expensive and did not offer sufficient drill-down insight into
the data to drive business advantage. In the 2000s, the IT focus shifted to efficiency how to do more
with less. Technologies like virtualization, sharing, and consolidation of the enterprise’s existing
infrastructure became the key drivers for IT.
We are now entering a new era of big scale, where the amount of data processed and stored by
enterprises is breaking down every architectural construct in the storage industry today. As a result, IT
teams are trying to convert these existing systems of record, built back in the 1990s and 2000s, into
“systems of engagement” – systems that can efficiently deliver the necessary information, to the right
people, in real time, to help them perform more sophisticated analyses and make better business
decisions.
Evolving from Systems of Record to Systems of Engagement
Data by itself has no value. Value comes from using the data to drive business results, offer services to
customers, and increase revenue. The challenge for scalable storage is to enable these business
outcomes from dramatically larger datasets.
2 SOURCES OF BIG SCALE
This massive increase in scale is occurring for a number of reasons. Because of cost pressures, many
companies are consolidating their data centers they can no longer afford for every business unit to have
its own IT infrastructure distributed around the globe. The move to cloud computing also contributes to
increased scale, aggregating the demand of hundreds of thousands of users onto fewer, centralized
systems.
Another source of the increase in scale is the massive growth in machine-generated and user-generated
data. Digital technologies are moving to denser media, photos have all gone digital, videos are using
higher resolution, and advanced analytics require more storage. Furthermore, machine-generated data
from sensor networks, buyer behavior tracking, and other sources contribute to much larger datasets that
need to be understood and commercialized. In short, the amount of data is increasing and the data
objects themselves are getting bigger. All of these forces together put an enormous amount of scale
pressure on existing infrastructures, especially the storage platform. This is what NetApp refers to as the
Big Data Challenge.
Where is Big Data Coming From?
Although human-generated data, such as Facebook pictures and Tweets, is getting the most attention
in the media, the biggest data growth comes from machine-generated datasets, such as consumer
behavior tracking and financial market analyses.
3 SHORTCOMINGS OF CURRENT APPROACHES
Today’s enterprises are finding it difficult to manage the exponential growth in big data. Traditional
approaches can’t scale to the level needed to be able to ingest all of the data, analyze it at the speed at
4. 4 The ABCs of Big Data – Analytics, Bandwidth and Content
which it arrives, and store the relevant datasets efficiently for extended periods of time. The industry as a
whole has started to get a handle on how to manage the increased infrastructure complexity in a virtual
world, but handling infrastructure in a scalable world presents some very serious challenges.
Time-to-information is critical for enterprises to derive maximum value from their data. If it takes weeks or
months to run an analysis, it won’t be timely enough to detect a pattern that may affect the business in an
instant. Compliance is also a significant challenge for many enterprises. Regulated organizations may
have to keep data for very long periods of time – or forever. And they are required to find the data quickly
when needed for reporting or during industry audits.
In summary, the Big Data Challenge is all about gaining business advantage – how to obtain the most
value for the enterprise from this immense digital universe of information.
4 INFRASTRUCTURE BREAKING POINTS
Big data is breaking today’s storage infrastructure along three major axes, as illustrated in Figure 1.
Complexity. Data is no longer just about text and numbers; it's about real-time events and shared
infrastructure. The information is now linked, it is high fidelity, and it consists of multiple data types.
Applying normal algorithms for search, storage, and categorization is becoming much more complex
and inefficient.
Speed. How fast is the data coming in? High-definition video, streaming media over the Internet to
player devices, slow-motion video for surveillance – all of these have very high ingestion rates.
Businesses have to keep up with the data flow to make the information useful. They also have to
keep up with ingestion rates to drive faster business outcomes – or in the military, to save lives.
Volume. All collected data must be stored in a location that is secure and always available. With such
high volumes of data, IT teams have to make decisions about what is “too much data.” For example,
they might flush all data each week and start all over the following week. But for many applications
this is not an option, so more data must be stored longer – without increasing the operational
complexity. This can cause the infrastructure to quickly break on the axis of volume.
Figure 1) Where is your infrastructure breaking?
5. 5 The ABCs of Big Data – Analytics, Bandwidth and Content
5 THE ABCS OF DATA AT SCALE
NetApp has divided the solution sets for managing data at scale into three main areas, called the “Big
Data ABCs” – analytics, bandwidth, and content. As shown in Figure 2, each area has its own specific
challenges and unique infrastructure requirements.
Analytics. This solution area focuses on providing efficient analytics for extremely large datasets.
Analytics is all about gaining insight, taking advantage of the digital universe, and turning data
into high-quality information, providing deeper insights about the business to enable better
decisions.
Bandwidth. This solution area focuses on obtaining better performance for very fast workloads.
High-bandwidth applications include high-performance computing: the ability to perform complex
analyses at extremely high speeds; high-performance video streaming for surveillance and
mission planning; and as video editing and play-out in media and entertainment.
Content. This solution area focuses on the need to provide boundless secure scalable data
storage. Content solutions must enable storing virtually unlimited amounts of data, so that
enterprises can store as much data as they want, find it when they need it, and never lose it.
Figure 2) The NetApp Big Data ABCs: Analytics, Bandwidth, and Content
6 SUMMARY
The new era of scale is breaking existing storage architectures. Enterprises need to ask the following
questions: Are there any opportunities for us to take better advantage of our data? What insights can
really help our business? Where could we use our data to competitive advantage? What if we could link
the trends in buying patterns to people's physical location at a point in time to give them a better