Data is being generated at a feverish pace and forward thinking companies are integrating big data and analytics as part of their core strategy from day one. However, it is often hard to sift through the hype around big data and many companies start with only a small subset of data. Can smaller companies benefit from big data efforts? We will discuss several use cases and examples of how startups are using data to optimize their operations, connect with their users, and expand their market.
6 Commonly Asked Questions from Customers Building on AWSRackspace
This session is ideal for IT/Infrastructure Manager, Application Developers, System Architects/Administrators and anyone who is growing their AWS footprint. We will uncover recent customer experiences at every stage while you can network with peers that face similar challenges.
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
No fewer than 80% have digital transformation at the centre of their corporate strategy with the aim of improving efficiency, driving innovation and becoming more agile. Though it's clear that insight into the data they hold is going to help them get there, many organisations find themselves at a crossroads. Big data, machine learning, data science: these are all initiatives every company knows they should take on in order to evolve their business, yet few know how to tackle the projects for successful outcomes.
Informatica Becomes Part of the Business Data Lake EcosystemCapgemini
Informatica is now part of the Business Data Lake ecosystem developed by Capgemini and Pivotal. Customers worldwide will now be able to leverage Informatica’s data integration software in addition to Pivotal’s advanced big data, analytics and application software, and Capgemini’s industry and implementation expertise. Informatica will deliver certified technologies for Data Integration, Data Quality and Master Data Management (MDM) to help enterprises distill raw data into actionable insights.
http://www.capgemini.com/resources/the-business-data-lake-delivering-the-speed-and-accuracy-to-solve-your-big-data-problems
Optimize your cloud strategy for machine learning and analyticsCloudera, Inc.
Join industry superstars Mike Olson (Cloudera CSO and co-founder) and Jim Curtis (451 Research senior analyst) as they outline the best practices for cloud-based machine learning and analytics in this “can’t miss” webinar.
Hot topics include:
Why enterprises are moving their analytics to the public cloud
How to select the best cloud deployment model
Design tricks that make cloud economics work
Success stories, cautionary tales, and lessons learned
James will share 451 Research findings and offer insights learned from surveying both the vendor landscape and enterprise practitioners.
.
Mike will regale you with his vision for the future of multi-disciplinary machine learning and analytics in hybrid- and multi-cloud environments
3 things to learn:
Why enterprises are moving their analytics to the public cloud
How to select the best cloud deployment model
Design tricks that make cloud economics work
6 Commonly Asked Questions from Customers Building on AWSRackspace
This session is ideal for IT/Infrastructure Manager, Application Developers, System Architects/Administrators and anyone who is growing their AWS footprint. We will uncover recent customer experiences at every stage while you can network with peers that face similar challenges.
The Big Picture: Real-time Data is Defining Intelligent OffersCloudera, Inc.
New research shows that 57% of the buying cycle is completed before a prospect even speaks to a company. Marketers already know this, Ninety-six percent (96%) of organizations believe that email personalization can improve email marketing performance. But where do we get this increasingly personal direction? The answer is likely in your customer data. In order to understand your customer needs contextualized in the moment they feel the need to act you will require a platform that can leverage real-time data. Apache Kudu is a Cloudera component that makes dealing with quickly changing data fast and easy. Companies are leveraging next generation data stores like Kudu to build data applications that deliver smart promotions, real-time offers, and personalized marketing. Join us as we discuss modern approaches to real-time application development and highlight key Cloudera use cases being powered by Cloudera’s operational database.
No fewer than 80% have digital transformation at the centre of their corporate strategy with the aim of improving efficiency, driving innovation and becoming more agile. Though it's clear that insight into the data they hold is going to help them get there, many organisations find themselves at a crossroads. Big data, machine learning, data science: these are all initiatives every company knows they should take on in order to evolve their business, yet few know how to tackle the projects for successful outcomes.
Informatica Becomes Part of the Business Data Lake EcosystemCapgemini
Informatica is now part of the Business Data Lake ecosystem developed by Capgemini and Pivotal. Customers worldwide will now be able to leverage Informatica’s data integration software in addition to Pivotal’s advanced big data, analytics and application software, and Capgemini’s industry and implementation expertise. Informatica will deliver certified technologies for Data Integration, Data Quality and Master Data Management (MDM) to help enterprises distill raw data into actionable insights.
http://www.capgemini.com/resources/the-business-data-lake-delivering-the-speed-and-accuracy-to-solve-your-big-data-problems
Optimize your cloud strategy for machine learning and analyticsCloudera, Inc.
Join industry superstars Mike Olson (Cloudera CSO and co-founder) and Jim Curtis (451 Research senior analyst) as they outline the best practices for cloud-based machine learning and analytics in this “can’t miss” webinar.
Hot topics include:
Why enterprises are moving their analytics to the public cloud
How to select the best cloud deployment model
Design tricks that make cloud economics work
Success stories, cautionary tales, and lessons learned
James will share 451 Research findings and offer insights learned from surveying both the vendor landscape and enterprise practitioners.
.
Mike will regale you with his vision for the future of multi-disciplinary machine learning and analytics in hybrid- and multi-cloud environments
3 things to learn:
Why enterprises are moving their analytics to the public cloud
How to select the best cloud deployment model
Design tricks that make cloud economics work
Customer Experience: A Catalyst for Digital TransformationCloudera, Inc.
Customer experience is a catalyst in many digital transformation projects. It is why many businesses invest in new technologies and processes to more effectively engage customers, constituents, or employees. The goal of putting digital tools to work in a transformative way is to ensure that data and insights connect people with information and processes that ultimately lead to a better experience for customers. Yet, it demands a modern approach that considers all of the platforms, processes, and data across the customer journey. The goal for many organizations is dynamically maintaining a single source of truth about each customer to drive personalized experiences based on individual preferences and behaviors.
However, businesses today have primarily invested in systems of record. While these systems are critical for managing internal operational processes, they are typically not effective for today's pace of business change. Insight-driven experiences require customer intelligence platforms that can finally create a customer 360. The deeper data and improved algorithms now available let users factor in individual affinity, segment, and a myriad of growing data sources. The result is greater relevance and effectiveness to deliver a differentiated experience that in today’s competitive landscape is not a luxury, but a necessity for survival.
In this session we will address:
3 things to learn:
•Leaders and Laggards of digital transformation
•How to create data-driven customer insights
•The importance of machine learning to uncover hidden insights
Leverage Big Data to Enhance Customer Experience in Telecommunications – with...Hortonworks
Take a look at this presentation from Hortonworks and Skytree and learn how Communications Service Providers can enhance their customers experience by:
– Creating a Data Lake for a 360 degree customer view.
– Building dynamic customer profiles.
– Leveraging a next-best-action streaming engine.
You will learn more about how Hortonworks Hadoop Distribution Platform and Skytree Machine Learning Solution can help you do so.
Speakers: Dr. Alexander Gray, CTO at Skytree, and Sanjay Kumar, General Manager, Hortonworks
This webinar featuring Claudia Imhoff, President of Intelligent Solutions & Founder of the Boulder BI Brain Trust (BBBT), Matt Schumpert, Director of Product Management and Azita Martin, CMO at Datameer, will highlight the latest technology trends in extending BI with big data analytics and the top high impact use cases.
Attendees will hear about:
-- The extended architecture for today's modern analytics environment
-- The Internet of Things (IoT) and big data
-- The evolution of analytics – from descriptive to prescriptive
-- High impact use cases as a result of the changing analytics world
Turning Petabytes of Data into Profit with Hadoop for the World’s Biggest Ret...Cloudera, Inc.
PRGX is the world's leading provider of accounts payable audit services and works with leading global retailers. As new forms of data started to flow into their organizations, standard RDBMS systems were not allowing them to scale. Now, by using Talend with Cloudera Enterprise, they are able to acheive a 9-10x performance benefit in processing data, reduce errors, and now provide more innovative products and services to end customers.
Watch this webinar to learn how PRGX worked with Cloudera and Talend to create a high-performance computing platform for data analytics and discovery that rapidly allows them to process, model, and serve massive amount of structured and unstructured data.
As a result of the changing landscape to many industries, fraud is a growing problem – accelerating in both the number of incidences and in its complexity. In Canada, we estimate that the total impact of fraud is close to $2 billion – stemming from both losses and cost of operations. These challenges have opened the door for Symcor to offer industry-leading digital and data services to detect and prevent current and emerging fraud. Hortonworks worked with us to transform our service offerings with industry-leading solutions to drive digital and data services. One of our most significant features we developed in the delivery of digital and data services was how we have provided industry-leading data governance and security solutions to protect our clients’ data. To ensure we were doing the right things, Symcor’s Privacy and Data Governance team designed a comprehensive data governance policy to empower the ethical use of data for fraud detection and prevention. Hortonworks was able to provide us with a platform that allowed for the development of industry-leading solutions that allowed us to integrate our comprehensive data governance policies within these technology solutions.
Thanks to Hortonworks assistance, we were able to deliver the objectives listed above. This solution has helped Symcor enhance its business offerings from a leading business processing provider in Canada, to an industry-leading digital and data services provider. CHRIS WOJDAK, Sr. Program\Managing Architect Leader, Symcor Inc and MIKE MACDONALD
Webinar - Real-Time Customer Experience for the Right-Now Enterprise featurin...DataStax
Welcome to the Right-Now Economy. To win in the Right-Now Economy, your enterprise needs to be able to provide delightful, always-on, instantaneously responsive applications via a data layer that can handle data rapidly, in real time, and at cloud scale. Don’t miss our upcoming webinar in which Forrester Principal Analyst Brendan Witcher will discuss why a singular, contextual, 360-degree view of the customer in real-time is critical to CX success and how companies are using data to deliver real-time personalization and recommendations.
View recording: https://youtu.be/e6prezfIGMY
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
Are you struggling to validate the added costs of a Hadoop implementation? Are you struggling to manage your growing data?
The costs of implementing Hadoop may be more beneficial than you anticipate. Dell and Intel recently commissioned a study with Forrester Research to determine the Total Economic Impact of the Dell | Cloudera Apache Hadoop Solution, accelerated by Intel. The study determined customers can see a 6-month payback when implementing the Dell | Cloudera solution.
Join Dell, Intel and Cloudera, three big data market leaders, to understand how to begin a simplified and cost-effective big data journey and to hear case studies that demonstrate how users have benefited from the Dell | Cloudera Apache Hadoop Solution.
Modern Data Integration Expert Session Webinar ibi
William McKnight, President of McKnight Consulting Group and Information Builders’ Jake Freivald discuss the tools needed for a successful modern data integration.
With the combination of Pentaho and MongoDB, it’s drastically simpler and faster to build single analytical views of clients by aggregating and blending data from a variety of internal sources (customer, transaction, position data) and external sources (social networking, central bank, news, pricing) with fast response times.
Webinar covers:
An insider’s view of new ways financial services companies are using MongoDB to rapidly store and consume unlimited shapes and sizes of data
How Pentaho makes it easy to enrich data in MongoDB with predictive scoring, visual data integration tools, reports, interactive dashboards, and data visualizations
A live demo of blending Twitter, equity pricing, and news data into a single analytical view that unlocks market intelligence to create investment opportunities
Today there is a widespread focus on "the how" in relation to problem solving. How can we gain better knowledge of what consumers want, or need? How can we be more efficient, reduce the cost to serve, or grow the lifetime value of a customer?
Data and Advanced Analytics offer huge potential to revolutionise all markets. There is an opportunity to be one step ahead of the need, to redesign journeys and enhance enterprise strategies. To do this you need access to the most advanced analytics but also the best quality, including variations and types of data, and then the technology that can act on this insight.
Data science can present a unique opportunity for uncovered growth and can accelerate your business through strategic innovation – fast.
In this session you will hear more about how today's Advanced Analytics can move from a single task, to an ongoing strategic opportunity.
An opportunity that helps you move at the speed of the market and helps you maximise every opportunity
Data Driven Decisions - Big Data Warehousing Meetup, FICOCaserta
Predictive analytics has always been about the future, and the age of big data has made that future an increasingly dynamic place, filled with opportunity and risk.
The evolution of advanced analytics technologies and the continual development of new analytical methodologies can help to optimize financial results, enable systems and services based on machine learning, obviate or mitigate fraud and reduce cybersecurity risks, among many other things.
Caserta Concepts, Zementis, and guest speaker from FICO presented the strategies, technologies and use cases driving predictive analytics in a big data environment.
For more information, visit www.casertaconcepts.com or contact us at info@casertaconcepts.com
Just a few years back, artificial intelligence meant adaptions like Jarvis. Who would have thought that AI would soon become an application of our daily lives?
Artificial intelligence has the potential to streamline several business processes, analyze data for insights, and help in building fruitful business strategies. Hence, globally, it is being used to remediate old processes, invent new methods, and improve productivity.
Cloudera Fast Forward Labs: Accelerate machine learningCloudera, Inc.
Machine learning and artificial intelligence can change the world. Diagnosing heart disease. Detecting fraud. Predicting insurance claims. Revolutionizing agriculture. In business, machine learning and artificial intelligence drive new sources of revenue and lower costs.
But executives struggle to define an investment strategy. Researchers introduce innovations in machine learning daily. Technical jargon is opaque. Vendor hype muddies the waters. Industry analysts cover the field, but only at a high level.
Cloudera Fast Forward Labs accelerates your machine learning journey. We deliver a unique blend of applied research and hands-on explanations that you can apply to your business today.
In this webinar you will:
Meet the Cloudera Fast Forward Labs team
Cut through machine learning hype
Explore recent examples of applied research
See exciting new ML techniques
Hear how machine learning is delivering real business value on multiple use cases
3 things to learn:
Explore recent examples of applied research
See exciting new ML techniques
Hear how machine learning is delivering real business value on multiple use cases
What is the value of big data? How does a user get that value?
Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers.
In this session, you will learn:
How analysts get value out of big data
How to visualize data at every step of analysis
How analysts can do big data analytics without IT, in one product
The Evolution of OpenStack – From Infancy to EnterpriseRackspace
As OpenStack turns 5 this year, we thought it would be a good time to take a look back at the evolution of OpenStack. We start with a quick overview of what OpenStack is, how OpenStack came to be and describe the OpenStack Foundation. Next we describe the problem that OpenStack helps to solve, the components of OpenStack and the timeline for when these components came to be. Last, we outline the current features and benefits that make OpenStack ready for the enterprise with supporting Enterprise use case examples. Blog can be found here (
https://developer.rackspace.com/blog/evolution-of-openstack-from-infancy-to-enterprise/) and webinar can be found here (https://www.brighttalk.com/webcast/11427/138613)
Customer Experience: A Catalyst for Digital TransformationCloudera, Inc.
Customer experience is a catalyst in many digital transformation projects. It is why many businesses invest in new technologies and processes to more effectively engage customers, constituents, or employees. The goal of putting digital tools to work in a transformative way is to ensure that data and insights connect people with information and processes that ultimately lead to a better experience for customers. Yet, it demands a modern approach that considers all of the platforms, processes, and data across the customer journey. The goal for many organizations is dynamically maintaining a single source of truth about each customer to drive personalized experiences based on individual preferences and behaviors.
However, businesses today have primarily invested in systems of record. While these systems are critical for managing internal operational processes, they are typically not effective for today's pace of business change. Insight-driven experiences require customer intelligence platforms that can finally create a customer 360. The deeper data and improved algorithms now available let users factor in individual affinity, segment, and a myriad of growing data sources. The result is greater relevance and effectiveness to deliver a differentiated experience that in today’s competitive landscape is not a luxury, but a necessity for survival.
In this session we will address:
3 things to learn:
•Leaders and Laggards of digital transformation
•How to create data-driven customer insights
•The importance of machine learning to uncover hidden insights
Leverage Big Data to Enhance Customer Experience in Telecommunications – with...Hortonworks
Take a look at this presentation from Hortonworks and Skytree and learn how Communications Service Providers can enhance their customers experience by:
– Creating a Data Lake for a 360 degree customer view.
– Building dynamic customer profiles.
– Leveraging a next-best-action streaming engine.
You will learn more about how Hortonworks Hadoop Distribution Platform and Skytree Machine Learning Solution can help you do so.
Speakers: Dr. Alexander Gray, CTO at Skytree, and Sanjay Kumar, General Manager, Hortonworks
This webinar featuring Claudia Imhoff, President of Intelligent Solutions & Founder of the Boulder BI Brain Trust (BBBT), Matt Schumpert, Director of Product Management and Azita Martin, CMO at Datameer, will highlight the latest technology trends in extending BI with big data analytics and the top high impact use cases.
Attendees will hear about:
-- The extended architecture for today's modern analytics environment
-- The Internet of Things (IoT) and big data
-- The evolution of analytics – from descriptive to prescriptive
-- High impact use cases as a result of the changing analytics world
Turning Petabytes of Data into Profit with Hadoop for the World’s Biggest Ret...Cloudera, Inc.
PRGX is the world's leading provider of accounts payable audit services and works with leading global retailers. As new forms of data started to flow into their organizations, standard RDBMS systems were not allowing them to scale. Now, by using Talend with Cloudera Enterprise, they are able to acheive a 9-10x performance benefit in processing data, reduce errors, and now provide more innovative products and services to end customers.
Watch this webinar to learn how PRGX worked with Cloudera and Talend to create a high-performance computing platform for data analytics and discovery that rapidly allows them to process, model, and serve massive amount of structured and unstructured data.
As a result of the changing landscape to many industries, fraud is a growing problem – accelerating in both the number of incidences and in its complexity. In Canada, we estimate that the total impact of fraud is close to $2 billion – stemming from both losses and cost of operations. These challenges have opened the door for Symcor to offer industry-leading digital and data services to detect and prevent current and emerging fraud. Hortonworks worked with us to transform our service offerings with industry-leading solutions to drive digital and data services. One of our most significant features we developed in the delivery of digital and data services was how we have provided industry-leading data governance and security solutions to protect our clients’ data. To ensure we were doing the right things, Symcor’s Privacy and Data Governance team designed a comprehensive data governance policy to empower the ethical use of data for fraud detection and prevention. Hortonworks was able to provide us with a platform that allowed for the development of industry-leading solutions that allowed us to integrate our comprehensive data governance policies within these technology solutions.
Thanks to Hortonworks assistance, we were able to deliver the objectives listed above. This solution has helped Symcor enhance its business offerings from a leading business processing provider in Canada, to an industry-leading digital and data services provider. CHRIS WOJDAK, Sr. Program\Managing Architect Leader, Symcor Inc and MIKE MACDONALD
Webinar - Real-Time Customer Experience for the Right-Now Enterprise featurin...DataStax
Welcome to the Right-Now Economy. To win in the Right-Now Economy, your enterprise needs to be able to provide delightful, always-on, instantaneously responsive applications via a data layer that can handle data rapidly, in real time, and at cloud scale. Don’t miss our upcoming webinar in which Forrester Principal Analyst Brendan Witcher will discuss why a singular, contextual, 360-degree view of the customer in real-time is critical to CX success and how companies are using data to deliver real-time personalization and recommendations.
View recording: https://youtu.be/e6prezfIGMY
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Increase your ROI with Hadoop in Six Months - Presented by Dell, Cloudera and...Cloudera, Inc.
Are you struggling to validate the added costs of a Hadoop implementation? Are you struggling to manage your growing data?
The costs of implementing Hadoop may be more beneficial than you anticipate. Dell and Intel recently commissioned a study with Forrester Research to determine the Total Economic Impact of the Dell | Cloudera Apache Hadoop Solution, accelerated by Intel. The study determined customers can see a 6-month payback when implementing the Dell | Cloudera solution.
Join Dell, Intel and Cloudera, three big data market leaders, to understand how to begin a simplified and cost-effective big data journey and to hear case studies that demonstrate how users have benefited from the Dell | Cloudera Apache Hadoop Solution.
Modern Data Integration Expert Session Webinar ibi
William McKnight, President of McKnight Consulting Group and Information Builders’ Jake Freivald discuss the tools needed for a successful modern data integration.
With the combination of Pentaho and MongoDB, it’s drastically simpler and faster to build single analytical views of clients by aggregating and blending data from a variety of internal sources (customer, transaction, position data) and external sources (social networking, central bank, news, pricing) with fast response times.
Webinar covers:
An insider’s view of new ways financial services companies are using MongoDB to rapidly store and consume unlimited shapes and sizes of data
How Pentaho makes it easy to enrich data in MongoDB with predictive scoring, visual data integration tools, reports, interactive dashboards, and data visualizations
A live demo of blending Twitter, equity pricing, and news data into a single analytical view that unlocks market intelligence to create investment opportunities
Today there is a widespread focus on "the how" in relation to problem solving. How can we gain better knowledge of what consumers want, or need? How can we be more efficient, reduce the cost to serve, or grow the lifetime value of a customer?
Data and Advanced Analytics offer huge potential to revolutionise all markets. There is an opportunity to be one step ahead of the need, to redesign journeys and enhance enterprise strategies. To do this you need access to the most advanced analytics but also the best quality, including variations and types of data, and then the technology that can act on this insight.
Data science can present a unique opportunity for uncovered growth and can accelerate your business through strategic innovation – fast.
In this session you will hear more about how today's Advanced Analytics can move from a single task, to an ongoing strategic opportunity.
An opportunity that helps you move at the speed of the market and helps you maximise every opportunity
Data Driven Decisions - Big Data Warehousing Meetup, FICOCaserta
Predictive analytics has always been about the future, and the age of big data has made that future an increasingly dynamic place, filled with opportunity and risk.
The evolution of advanced analytics technologies and the continual development of new analytical methodologies can help to optimize financial results, enable systems and services based on machine learning, obviate or mitigate fraud and reduce cybersecurity risks, among many other things.
Caserta Concepts, Zementis, and guest speaker from FICO presented the strategies, technologies and use cases driving predictive analytics in a big data environment.
For more information, visit www.casertaconcepts.com or contact us at info@casertaconcepts.com
Just a few years back, artificial intelligence meant adaptions like Jarvis. Who would have thought that AI would soon become an application of our daily lives?
Artificial intelligence has the potential to streamline several business processes, analyze data for insights, and help in building fruitful business strategies. Hence, globally, it is being used to remediate old processes, invent new methods, and improve productivity.
Cloudera Fast Forward Labs: Accelerate machine learningCloudera, Inc.
Machine learning and artificial intelligence can change the world. Diagnosing heart disease. Detecting fraud. Predicting insurance claims. Revolutionizing agriculture. In business, machine learning and artificial intelligence drive new sources of revenue and lower costs.
But executives struggle to define an investment strategy. Researchers introduce innovations in machine learning daily. Technical jargon is opaque. Vendor hype muddies the waters. Industry analysts cover the field, but only at a high level.
Cloudera Fast Forward Labs accelerates your machine learning journey. We deliver a unique blend of applied research and hands-on explanations that you can apply to your business today.
In this webinar you will:
Meet the Cloudera Fast Forward Labs team
Cut through machine learning hype
Explore recent examples of applied research
See exciting new ML techniques
Hear how machine learning is delivering real business value on multiple use cases
3 things to learn:
Explore recent examples of applied research
See exciting new ML techniques
Hear how machine learning is delivering real business value on multiple use cases
What is the value of big data? How does a user get that value?
Before, analysts would have to wait months relying on IT for a new report or make changes to an existing one. Now, analysts are able to shrink that time down to days or even minutes. On top of that, analysts can ask questions that were not possible before. In this webinar, we’ll show you how this analysis is possible and the value that has been achieved by customers.
In this session, you will learn:
How analysts get value out of big data
How to visualize data at every step of analysis
How analysts can do big data analytics without IT, in one product
The Evolution of OpenStack – From Infancy to EnterpriseRackspace
As OpenStack turns 5 this year, we thought it would be a good time to take a look back at the evolution of OpenStack. We start with a quick overview of what OpenStack is, how OpenStack came to be and describe the OpenStack Foundation. Next we describe the problem that OpenStack helps to solve, the components of OpenStack and the timeline for when these components came to be. Last, we outline the current features and benefits that make OpenStack ready for the enterprise with supporting Enterprise use case examples. Blog can be found here (
https://developer.rackspace.com/blog/evolution-of-openstack-from-infancy-to-enterprise/) and webinar can be found here (https://www.brighttalk.com/webcast/11427/138613)
We're constantly reminded about how fleeting time is—but what if you had more time? What would you do? We decided to illustrate some of the answers we found on Twitter.
If you're looking to get some time back in your day, consider letting Rackspace manage your servers. We can focus on the tech so that you can focus on innovation.
Learn more about Rackspace: http://rackspace.com
Learn more about this project: https://blog.rackspace.com/moretime-question-ages
Agile-Techture: Nimble Cloud Engineering at RackspaceWayne Walls
This presentation was originally presented at Cloud Connect 2012 - Chicago ------ Building a large-scale OpenStack public cloud is no easy task. Even harder, how to do you keep it up to date with a rapidly growing community with hundreds of lines of code added daily? Come hear Rackspace Developer Advocate Wayne Walls discuss the importance of staying agile while maintaining a public cloud comprising of thousands of users. He will discuss open API integration into the business, continuous integration, and other practices that will allow your organization to roll to production faster.
Rackspace::Solve NYC - Welcome Keynote featuring Rackspace CTO John EngatesRackspace
Solving business challenges - that was the focus at Rackspace::Solve in New York City, the second of three one-day summits that showcase how companies are overcoming the toughest challenges in their businesses and for their customers. In this presentation, Rackspace CTO John Engates kicks off the day with an overview of some of those challenges, and the various ways some of our customers and partners help solve them by using Rackspace's Managed Cloud offerings.
Rackspace (NYSE: RAX) is the #1 managed cloud company. Our technical expertise and Fanatical Support® allow companies to tap the power of the cloud without the pain of hiring experts in dozens of complex technologies. Rackspace is also the leader in hybrid cloud, giving each customer the best fit for its unique needs — whether on single- or multi-tenant servers, or a combination of those platforms. Rackspace is the founder of OpenStack®, the open-source operating system for the cloud. Headquartered in San Antonio, we serve more than 200,000 business customers from data centers on four continents. We rank 29th on Fortune’s list of 100 Best Companies to Work For. For more information, visit www.rackspace.com.
Deploy Apache Spark™ on Rackspace OnMetal™ for Cloud Big Data PlatformRackspace
There's an elephant in the room when it comes to Big Data. Apache Hadoop and Spark offer the promise to transform how businesses leverage Big Data, finding the right mix of flexible deployments, elastic scalability, and performance can be daunting.
Introducing Rackspace OnMetal™ for Apache Spark™ an industry first that combines the performance and efficiency of bare metal with the ease and flexibility of cloud. With Rackspace OnMetal for Cloud Big Data Platform you can transform how you run Hadoop and Spark workloads:
•Deploy in minutes, not months
•Spin instances up or down on demand
•Process data in-memory for faster query times
•Get bare metal performance and say goodbye to virtualization taxes
Sign up and learn how Rackspace OnMetal for Cloud Big Data Platform can rapidly move your organization from planning to deploying.
Integration testing for salt states using aws ec2 container serviceSaltStack
A SaltConf16 use case talk by Steven Braverman of Dun & Bradstreet. Testing configuration changes for multiple server roles can be time consuming when real instances or legacy container systems are used. Applying configuration changes to each role in parallel can be difficult. So what's the best way to test configuration changes efficiently, quickly, and securely prior to applying them? See how an integrated test setup using AWS EC2 Container Service (ECS), AWS AutoScaling Group, and SaltStack simplifies the application of configuration changes and allows you to test configuration changes in parallel to reduce the time spent testing.
My presentation on how to build your personal brand, updated in March 2017. This covers how to build your brand, how to generate content and then syndicate it.
Tearing Down Silos and Building Your Enterprise Dev/Ops EngineRackspace
Miss the latest installment of the Enterprise Cloud Forum? Not to worry here is a copy of the slides from Rackspace Sr. IT Strategist Brian Jawalka and Rackspace VP of Software Application Development Krishna Prasad with guest host Mark Majewski – Cloud Solution Architect discussed how enterprises need to approach Dev/Ops to ensure cloud adoption success.
Learn how to overcome security challenges, such as: identity theft, spoofed transactions, DDoS business disruption, criminal extortion and more. You'll learn how a security strategy promotes confidence in the cloud.
Welcome to big data use case course. In this course we will talk about what is big data? Who are using it and at the end we will share the lessons learnt from the early adopters. Big Data is an umbrella term used to refer the technology behind collecting and analyzing large volume of data at a fast speed. In last few years, number of devices and services customers use, have increased multi fold. As customers are using more of every thing, they are creating more data. By inter connecting these data, you can know your customer better and provide a better service. Big Data helps you in storing and connecting these data.
Riding and Capitalizing the Next Wave of Information TechnologyGoutama Bachtiar
Delivered in guest lecture session for International Business Accounting Program, Faculty of Business and Management, Petra Christian University, Surabaya, East Java, Indonesia.
Big Data Solutions on Cloud – The Way Forward by Kiththi Perera SLTKiththi Perera
ITU-TRCSL Symposium on Cloud Computing 2015 Colombo
Session 04: Big Data Strategy in the Cloud and Applications
Speaker's PPT by K. A. Kiththi Perera, Chief Enterprise and Wholesale Officer, Sri Lanka Telecom
As the strategic importance of data has increased, new approaches to customer analytics have emerged as well. As customer interactions with companies grow and diversify, the need to integrate data faster and deliver real-time insights is critical. This presentation explores the underlying trends driving companies to become more data-driven and invest in customer analytics. And, it outlines three types of approaches to capturing, managing, analyzing, and activating customer knowledge and insights.
Rackspace::Solve NYC - Solving for Rapid Customer Growth and Scale Through De...Rackspace
At Rackspace::Solve NYC, Jon Hyman, CIO of Appboy and Prashanth Chandrasekar, GM of DevOps at Rackspace, discuss the role of DevOps in helping to solve the technical challenges that come with rapid growth.
Rackspace (NYSE: RAX) is the #1 managed cloud company. Our technical expertise and Fanatical Support® allow companies to tap the power of the cloud without the pain of hiring experts in dozens of complex technologies. Rackspace is also the leader in hybrid cloud, giving each customer the best fit for its unique needs — whether on single- or multi-tenant servers, or a combination of those platforms. Rackspace is the founder of OpenStack®, the open-source operating system for the cloud. Headquartered in San Antonio, we serve more than 200,000 business customers from data centers on four continents. We rank 29th on Fortune’s list of 100 Best Companies to Work For. For more information, visit www.rackspace.com.
Rackspace::Solve NYC - Second Stage CloudRackspace
James Staten, VP and top Analyst at Forrester Research discusses tech adoption of cloud computing at Rackspace::Solve New York. Staten explains the Second-Stage Cloud, which means that the optimization phase of client-server is ending while we enter the rationalizations phase of cloud computing. This makes the cloud-competition today based on “service-value”, causing a hyper-growth for cloud services.
Rackspace::Solve NYC - Solving for Rapid Customer Growth and Scale Through De...Rackspace
At Rackspace Solve New York, Jon Hyman, CIO of AppBoy, shared how AppBoy uses Rackspace’s DevOps Automation Services to increase app engagement for their clients, including Urban Outfitters and Shape Magazine. With Rackspace’s managed cloud providing support, Appboy was able to excel rapid customer growth and scale through DevOps.
Rackspace::Solve NYC - The Future of Applications with Ken Cochrane, Engineer...Rackspace
What does intermodal shipping have to do with managing your app’s components in different environments? Ken Cochrane, Engineering Manager at Docker, explains in this presentation from Rackspace::Solve NYC. For more information about Rackspace::Solve, visit http://www.rackspacesolve.com.
Rackspace (NYSE: RAX) is the #1 managed cloud company. Our technical expertise and Fanatical Support® allow companies to tap the power of the cloud without the pain of hiring experts in dozens of complex technologies. Rackspace is also the leader in hybrid cloud, giving each customer the best fit for its unique needs — whether on single- or multi-tenant servers, or a combination of those platforms. Rackspace is the founder of OpenStack®, the open-source operating system for the cloud. Headquartered in San Antonio, we serve more than 200,000 business customers from data centers on four continents. We rank 29th on Fortune’s list of 100 Best Companies to Work For. For more information, visit www.rackspace.com.
vCenter Site Recovery Manager: Architecting a DR SolutionRackspace
VMware’s vCenter Site Recovery Manager is the market-leading disaster-recovery management product. It ensures the simplest and most reliable disaster protection for all virtualized applications. However, it is not a turn-key DR solution. Architecting your SRM solution requires deep thought and heavy planning. This presentation will help you with planning and architecting your SRM solution as well as addressing specific configuration and installation challenges. Our goal is to help you deploy and maintain a solid SRM solution to enable your DR Plan.
Outsourcing IT Projects to Managed Hosting of the CloudRackspace
Is your organization looking to cut costs, reduce deployment time, or gain new capabilities that you find challenging to implement with traditional on-premises infrastructure? Then outsourcing IT may be right for you.
Nearly every IT leader these days is wresting with Shadow IT – the dynamic in which end users obtain IT solutions from cloud service providers without informing corporate IT.
Some IT initiatives, such as disaster recovery, are natural fits for cloud computing. Yet it can be challenging to know exactly where to begin when it comes to configuring self-managed recovery plans and replicating virtual machines (VMs) from on-premises to a cloud service provider.
Migrating Traditional Apps from On-Premises to the Hybrid CloudRackspace
Re-architecting legacy apps for the public cloud is very resource intensive. However, migrating apps to a hosted hybrid cloud that’s composed of bare-metal servers, VMware® virtualization, EMC® storage and public cloud offers cloud-bursting benefits, but with less risk and cost. Check out our presentation and learn the five-step path to hybrid cloud.
How vSphere and OpenStack fit together to build a hybrid solution.
In this presentation you will learn more about:
- OpenStack
- Legacy vs. Cloud native architectures and application deployments
- OpenStack architecture compared to the vSphere architecture
- Building hybrid solutions with vSphere and OpenStack
Rackspace::Solve SFO - Solve(Scale) Featuring Docker CEO Ben GolubRackspace
NOTE: Accompanying video is available for viewing at http://bit.ly/1k56U46
What does intermodal shipping have to do with managing your app’s components in different environments? Speed and portability. Docker CEO Ben Golub spoke at Rackspace::Solve in San Francisco to discuss how the right infrastructure can mean success and peace of mind.
Rackspace::Solve SFO - Welcome Keynote featuring Rackspace CTO John EngatesRackspace
Note: Accompanying video is available for viewing at http://bit.ly/1k54RwW
Solving business challenges - that was the focus at Rackspace::Solve in San Francisco, the first of three one-day summits that showcase how companies are overcoming the toughest challenges in their businesses and for their customers. In this presentation, Rackspace CTO John Engates kicked off the day with an overview of some of those challenges, and the various ways some of our customers and partners help solve them by using Rackspace's Managed Cloud offerings.
How vSphere and OpenStack fit together to build a hybrid solution.
In this presentation you will learn more about:
- OpenStack
- Legacy vs. Cloud native architectures and application deployments
- OpenStack architecture compared to the vSphere architecture
- Building hybrid solutions with vSphere and OpenStack
Pre-Aggregated Analytics And Social Feeds Using MongoDBRackspace
Jon Hyman, co-founder and CIO of Appboy, an engagement platform for mobile apps, highlights how it solved issues around pre-aggregated analytics and used statistical formulas on top of the aggregation framework to return results in real time as its data grew. And Greg Avola, co-founder and developer at Untappd, a social network for beer lovers, discussed how MongoDB and ObjectRocket helped Untappd address problems with serving its social feed and how it sustained high performance up to 5,000 to 6,000 queries per second, and used location indexes to enable geo-location search.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Show drafts
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Machine learning and optimization techniques for electrical drives.pptx
How Startups can leverage big data?
1. How Can Startups Leverage Big Data?
Trudging Through Myth To Discover Real Value
2. • Mostly Unstructured Data
• Client Data
• Customer Data
• Social Data
• Driving towards insight
2
What is Big Data?
www.rackspace.com
3. RACKSPACE® HOSTING | WWW.RACKSPACE.COM
“Big Data is any
dataset not suited to
be processed by
traditional legacy
technology.”
4. The Three V’s
4
V3C
Mining social data for sentiment
Analyzing web clickstreams
Analyzing log data for security breaches
Telemetry from sensors and machines
eCommerce predictive analytics
VOLUME VELOCITY
VARIETY COMPLEXITY
5. The Three V’s
5
V3C
Mining social data for sentiment
Analyzing web clickstreams
Analyzing log data for security breaches
Telemetry from sensors and machines
eCommerce predictive analytics
VOLUME VELOCITY
VARIETY COMPLEXITY
7. • Big Data is now much more than hype – real
customers with real use cases are adopting daily
•Recent survey found that business leaders expected
the deployment of Hadoop to result in a 3-year benefit
ranging from $5M to $50M+
• Close to 100% of business leaders have already
deployed or plan to deploy ApacheTM Hadoop®
"Enterprises are showing increasing interest in the value provided by the large-scale data processing that Hadoop and Spark
can provide, but can be wary of the upfront cost and complexity of setting up a cluster to prove that value. Managed services
such as [OnMetalTM Cloud Big Data Platform] enable enterprises to focus their energies on generating business insights rather
than configuring and managing infrastructure.”
Matt Aslett
451 Research Director, Data Platforms and Analytics
7
Big Data is Here to Stay
www.rackspace.com
8. • To learn more about your customers
• To optimize your business processes
• To become a more targeted marketer
• Interact with users and customers in real time
• Add additional revenue and services
8
Why leverage Big Data?
www.rackspace.com
9. www.rackspace.com 9
What Is the Cost of Lacking a Big Data Strategy?
• Today every company can be a data company
• Successful companies will be data companies
• Under Armour isn’t just a fitness company – they’re a data company
10. • Open Source
• Able to process petabytes of data quickly
• Developed at Google, implemented at scale at Yahoo
• Handles unstructured data very well
• One of the fastest growing eco-systems
10
Hadoop Has Emerged As A Leader In Distributed Data Sets
11. Fundamentals of Hadoop v1
Zookeeper
Configuration, sync
and naming registry
Oozie
Workflow and job
scheduling
Knox
Auth and access
Falcon
Data pipeline
framework
Installation, monitoring, administration
11
Data
Services
Pig
Data flow
scripting
language
HBase
Distributed,
scalable, non
relational
database HCatalog
Metadata and table management system
Core
Services HDFS
Distributed File System
Hive
DW analysis layer
through HiveQL
(SQL-like) queries
MapReduce
Data processing framework
Ambari
Operational
Services
Flume
Log data
aggregation and
movement
Sqoop
Bulk data transfer
from and to
relational DB
12. • Biggest impediments include:
– Insufficient skills in-house to design and deploy
– Designing and deploying takes too long
– High cost of physical infrastructure
12
Hadoop is Hard
www.rackspace.com
3 10
only in
businesses that plan
to implement Hadoop
have done so
13. Hadoop is Changing
• Original focus on batch processing
• Streaming and interactive use cases emerging
• Shift from jobs that take hours to seconds
• Impala, Spark, and Presto are emerging tools
14. 14
But what are these companies
doing with Big Data?
www.rackspace.com
Gaining Insights!!!
15. What are Companies Doing with Hadoop?
www.rackspace.com 15
Vertical Use Case Data Type
Financial Services
New Account Risk Screens Text, Server Logs
Fraud Prevention Server Logs
Trading Risk Server Logs
Maximize Deposit Spread Text, Server Logs
Insurance Underwriting Geographic, Sensor, Text
Accelerate Loan Processing Text
Telecom
Call Detail Records (CDRs) Machine, Geographic
Infrastructure Investment Machine, Server logs
Next Product to Buy (NPTB) Clickstream
Real-time Bandwidth Allocation Server Logs, Text,
Sentiment
New Product Development Machine, Geographic
Retail
360 View of the Customer Clickstream, Text
Analyze Brand Sentiment Sentiment
Localized, Personalized Promotions Geographic
Website Optimization Clickstream
Optimal Store Layout Sensor
Manufacturing
Supply Chain and Logistics Sensor
Assembly Line Quality Assurance Sensor
Proactive Maintenance Machine
Crowdsourced Quality Assurance Sentiment
16. Application Underpinning
People are building net-new applications with Hadoop as their database
• Mobile
– Enterprises consider support for mobility and productivity enhancement to mobile workers as their top-priority new application
category, according to a recent survey by CIMI Corp. That means most companies that have adopted, or are adopting,
Hadoop will likely have to integrate the framework with mobile applications.
• Data Aggregation
– The two big use cases we're seeing for Impala are aggregating data in Hadoop to present analytic dashboards and improving
data-discovery applications by providing faster performance than Hive," Alex Gutow, Cloudera's product marketing
manager.
• Dashboarding
– Users are increasingly choosing Hadoop as the underlying technology to power interactive dashboarding capability.
• Internet of Things
– As tech wearables and generated devices start to become common-day solutions the backend of your application needs to
be built to address these concerns and can handle the velocity and volume of data being produced by the appliance.
www.rackspace.com 16
17. Clickstream Analysis
Understand how your users are behaving on your website and optimize your experience
Your home page looks great. But how do you move customers on to bigger things—like submitting a form
or completing a purchase? Get more granular with customer segmentation. Hadoop makes it easier to
analyze, visualize and ultimately change how visitors behave on your website.
A clickstream is a series of page requests. Every page requested generates a signal. These signals can be
graphically represented for clickstream reporting. The main point of clickstream tracking is to give
webmasters insight into what visitors on their site are doing.
• Clickpath
– The study of human clicks on a website
• Tracking Cookies
– Tool used to understand and track online activity
• Data Mining
– Collecting data from websites and online properties
www.rackspace.com 17
18. Sentiment Analysis
Find out what your users are saying about you. Are they happy? Does your product make them a promoter?
Your customers are talking. With Hadoop, you can mine Twitter, Facebook and other social media
conversations for sentiment data about you and your competition, and use it to make targeted, real-time
decisions that increase market share.
Sentiment analysis aims to determine the attitude of a speaker or a writer with respect to some topic or the
overall contextual polarity of a document.
• Social Media Feeds
– Many companies are now capturing entire Twitter and Facebook feeds to analyze.
• Data Mining
– Users are searching the web for comments, blogs, and whitepapers that can point to overall sentiment
• E-Communities
– Forums, user groups, Heroku
www.rackspace.com 18
19. Machine Learning
Interactive devices are now streamlining things like maintenance and troubleshooting
Your machines know things. From out in the field to the assembly line floor—machines stream low-cost,
always-on data. Hadoop makes it easier for you to store and refine that data and identify meaningful
patterns, providing you with the insight to make proactive business decisions.
Machine Learning is a scientific discipline that deals with the construction and study of algorithms that can
learn from data. Such algorithms operate by building a model based on inputs and using that to make
predictions or decisions, rather than following only explicitly programmed instructions.
• Pattern Recognition
– Users are building clusters to detect patterns and identify anomalies in data that these devices are generating
• Decision Tree
– Allows the system to take action and make choices based on the data
• Predictive Modeling
– Aims to automate the most common mistakes and errors as part of a preventative model
www.rackspace.com 19
20. Fraud Detection
Users are detecting fraudulent online behavior and rejecting those users before they commit an offense
Fraud is a billion-dollar business and it is increasing every year. The PwC global economic crime survey of
2009 suggests that close to 30% of companies worldwide have reported being victims of fraud in the past
year.
Fraud involves one or more persons who intentionally act secretly to deprive another of something of value,
for their own benefit. Fraud is as old as humanity itself and can take an unlimited variety of different forms.
However, in recent years, the development of new technologies has also provided further ways in which
criminals may commit fraud.
• Rules-Based Detection
– Even though internet hackers have become better at tricking online systems, they still exhibit very calculated behavior.
• Machine Learning
– The aggregation of data points can help you collect more info about the potential sale and detect if it might be fraud.
• Users Tagging and Tracing
– Once users are flagged as fraudulent, their repeated attempts can be prevented.
www.rackspace.com 20
21. Server Log Data
Aggregate server logs to find trends and anomalies in your security records
Security breaches happen. And when they do, your server logs may be your best line of defense. Hadoop
takes server-log analysis to the next level by speeding and improving security forensics and providing a low
cost platform to show compliance.
Generally small files that track user information inside a confined environment; often used to meet
compliance or troubleshoot an incident.
• Scrub Data for Forensics
– If a security incident occurs, it is important to remediate fast
• Identify Anomalies
– Anti-patterns are often the first sign
• Discover Trends
– Some types of errors might become common; learn to identify them
• Actively Automate to Solve Issues with Log Files
– Many of these errors can be proactively eliminated through the use of automation.
www.rackspace.com 21
22. 360 View of Customer – Dashboards and Analytics
Create in-depth personas for your customers based on how they are actually behaving.
Whenever a customer interacts with an organization, it is vital that the richness of information available on
that customer informs and guides the processes that will help to maximize their experience, while
simultaneously making the interaction as effective and efficient as possible. This includes everything from
avoiding repetition or rekeying of information, to viewing customer history, establishing context and initiating
desired actions.
A total 360 view often contains 3 views:
• The Past
– Understanding how your users act in the past lets you understand who they are and serve them relevant content and
products
• The Present
– Where are users coming from? What is their experience on your site right now? Do they need help?
• The Future
– Did they buy? Can we serve them more information to help their choice? Can we market to them better?
www.rackspace.com 22
23. What’s Next? Interactive Processing!
Interact with customers in real-time offering suggestions and inhibiting behavior
What if instead of reacting to behavior we can engage virtually with the user to inhibit behavior?
This is called interactive processing and it takes input from humans and reacts based on patterns and
algorithms.
The quicker we can server up this interaction, to the user the better equipped we are to inhibit their behavior!
www.rackspace.com 23
Input
data
Proces
s
Output
data
source: Teach-ICT.com
24. • Introducing support of Apache SparkTM
• Apache Spark enables enterprises to combine the breadth of structured and unstructured data with the
speed of in-memory processing to build streaming, machine learning, and graph-optimized applications
that allow businesses to take action at the speed of insight.
24
Apache Spark
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25. • Deeper Integration with SQL Workloads
• Streaming Applications
• Machine Learning
• Iterative Processing
• Real-time Graphical Dashboards
25
New Use Cases
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26. YES
26
Does the delivery method matter?
www.rackspace.com
27. Choose The Best Deployment Model
27
Public Cloud Managed Cloud
Your Private Cloud
(on Premise)
Private Cloud
29. Advantages of storing data in the cloud:
29
Portability between
providers
Utility Pricing Minimal
planning needed
Scale to meet the exact
demands
Integration with data
platforms
30. • Dedicated Hosting
– No Capex Investment
– Choose new hardware and software versioning easily
– Rely on extended support personnel
– Increased security options
– Concurrent and predictable performance
• On-Premise
– Control Data Access
– Integrate with core mainframe and systems
– Build your own IP
– Control every aspect of design and operation
www.rackspace.com 30
Advantages of Dedicated Hosting/On-Premise
31. www.rackspace.com 31
The Trade Off...
Custom Built
Consistent
Available
Performant
Purpose Built
Elastic
Flexible
On-Demand
32. www.rackspace.com 32
OnMetal Lets You Scale Like the Internet Giants
BARE METAL
SERVERS
Instantly Available API-driven Highly Specialized No Hypervisor
“Rackspace Cloud, because of its single-tenant OnMetal line, is the only place on Earth where you can enjoy
Facebook/Google-style infrastructure rented by the hour.”
-Ev Kontsevoy
Director, Product
Rackspace
33. Benefits of Outsourced Hosting
Deliver resources fast
Offload management responsibilities
Scale as you grow
Optimize around specified hardware
34. www.rackspace.com 34
The Level of Management You Need
Only you can decide what model is best for you!
• DIY
• Platform
• Managed Service
• Turnkey Service
35. Data as a Service:
more time building,
less time managing databases
• For some businesses, database or
infrastructure management IS core to the
business
• For most software-based businesses, database
or infrastructure management represents time
and resources not spent building the
application
• You must answer for yourself: are you in the
business of managing infrastructure, or in the
business of [your market here]?
More time
spent building
the app
More tasks performed FOR the
developer (means that more time can be
spent building the application)
Sharding
Scaling
Performance
Availability
Analytics
Optimization
Proactive tasks
Complex admin
Patch
Upgrade
Backup/Restore
Monitoring
Replication
HW selection
Installation
Patch
Upgrade
Backup/Restore
Monitoring
Replication
HW selection
Installation
Patch
Upgrade
Backup/Restore
Monitoring
Replication
HW selection
Installation
1
Do-it-yourself
database
2
Provisioned
database
3
Automated
database
4
Data as a
Service
HW selection
Installation
Patch
Upgrade
Backup/Restore
Sharding
Scaling
Performance
Availability
Analytics
Optimization
Proactive tasks
Complex admin
App-specific
data mgmt
Patch
Upgrade
Backup/Restore
Monitoring
Replication
Sharding
Scaling
Performance
Availability
Analytics
Optimization
Proactive tasks
Complex admin
App-specific
data mgmt
Sharding
Scaling
Performance
Availability
Analytics
Optimization
Proactive tasks
Complex admin
More tasks performed BY the developer
(means that more time can be spent
building the application)
App-specific
data mgmt
App-specific
data mgmt
39. 39
Rackspace Offerings for the Data Tier
www.rackspace.com
Managed
Database
Services for
Production Apps
Managed
Offerings of Most
Popular
Big Data, SQL, &
NoSQL Databases
Infrastructure
for Data
•Automatic DBA: Sharding,
Backup, & HA
•Entire Stack Optimized on Bare
Metal
•Supported 24x7x365 by experts
• More than MongoDB…
Cloud IaaS
Get started fast
DBA Services
Dedicated
Hosting
Predictable costs &
performance
OnMetal
Cloud Elasticity &
Dedicated
Performance
•Architecture & Design
•Tuning & Monitoring
•24 x 7 x 365 Support
•Cost Effective
40. 1. Sign up for a free trial
2. Want to know more?
– Read my blog and check out the articles
www.baremetalbigdata.com
40
What’s Next?
www.rackspace.com
If your company doesn’t have a robust big data strategy it’s a real concern. As you can see from the last slide, it’s likely that regardless of industry your competitors are building their own big data initiatives.
Examples:
Nike
Nest
MapMyFitness
Today we are all data companies. Examples include Nike, Nest, even old guard companies like John Deere.
Share the Under Armour story. The data they harvest has the potential to impact every part of their business---from how they manage their supply chain to how the interact with their customers. With consumer movements like “the instrumented self”, it is the differentiator.