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Big Data Drives The Cloud
& The Internet of Things!
Join Us at Big Data Expo East June 9-11 in New York!
Cloud computing is being adopted in one form or another by 94% of enterprises today. Tens of billions of new devices are being connected to The Internet of Things.
And Big Data is driving this bus. An exponential increase is expected in the amount of information being processed, managed, analyzed, and acted upon by enterprise IT. This amazing is not part of some distant future--it is happening today. One report shows a 650% increase in enterprise data by 2020. Other estimates are even higher.
Big Data Expo East is the place where you can see the technologies and use cases that are delivering Big Data to enterprise IT.
Big Data Expo East is co-located at the Javit's Center in the heart of New York with Cloud Expo East--the world's most longstanding and significant event in the world of cloud computing.
Attend Big Data East and benefit from technical and strategic Breakout Sessions, General Sessions, Keynotes, Power Panels, and the largest exhibition floor in the industry.
Enterprise storage. Business analytics. Real-time cloud.
Machine-to-Machine (M2M) communications. These are just some of the topics and knowledge you'll receive at Big Data Expo East. Attend, learn, and contribute to the discussion!
Big Data Expo East is June 9-11 at the Javits Center, New York, NY. We'll see you there!
The Perfect Enterprise IT Storm | CEO Power Panel at Big Data Expo In this CEO Power Panel at 13th Cloud Expo, moderated by Cloud Expo Tech Chair Larry Carvalho, Greg O'Connor, CEO of AppZero, Roberto Medrano, Executive Vice President at SOA Software, and Jeff Tegethoff, CEO of Appcore, discuss how cloud and Big Data are changing the world.
Stake Your Company's Claim to Share of the $100 Billion+ Big Data Industry!
The Big Data industry, already worth $100 billion+, is growing twice as fast as the software business as a whole. It is so strategic to the future of Enterprise IT that giants like Oracle, IBM, Microsoft, and SAP have now between them spent more than $15 billion acquiring software firms specializing in data management and analytics.
Forward-thinking organizations realize that Big Data requires a new class of technology, so join us in Silicon Valley at Big Data Expo and learn about the innovative solutions that are already leading the way.
As the management and analysis of massive amounts of data becomes an industry in its own right, is your own company up to speed?
SYS-CON's Cloud Expo drew more than 7,000 attendees at Jacob Javits Center
Six Benefits of Attending the Three-Day
Big Data Technical Program
LEARN how Big Data requires a new class of technology and what innovative solutions are currently leading the way.
HEAR first-hand from industry experts what issues and questions you should consider when evaluating your Big Data requirements and opportunities.
SEE what the potential benefits - and pitfalls - are of storing and analyzing huge amounts of raw, detailed data.
DISCOVER what your enterprise really needs to know about the growing set of Big Data tools
FIND OUT how to build scalable storage infrastructures that can handle today's larger datasets.
LEARN what works, what doesn't, and what's next.
Themes & Topics to Be Discussed Include:
• Big Data Analytics
• Scaling Big Data
• Avoiding Big Data Silos
• Data Warehousing
• Big Data & Cloud x Computing
• Big Data Economics
• HaaS: Hadoop as a x Service
• Grid Software
• Cloud-Delivered Testing
• Predictive Analytics
• Crunching Big Data with x Java
• Object Storage for Big x Unstructured Data
• Enterprise Big Data
x Computing (HPC)
• Federal Big Data
• Big Data Tools xLandscape
• Next-Gen IO x & Architecture for x Big Data
• Base Data Stores
• Big Data & Virtualization
• Big Data in Academia
• Scientific Big Data
• Big Data & Security
• Big Data & Cloud x Governance
• The Rise of Database x Sharding
• Big Data PaaS
• Big Data Search
• Big Unstructured Data xStorage
• Big Data & xBioinformatics
• Enterprise Cloud x Orchestration
• Moving Big Data x In and Out of the Cloud
• "The BigData Office"
• The World's DNA Big x Data Challenge
• Big Data Services
• Big Data & Interactive x Analytics
• COBOL in Big Data x Analytics
• Big Data & Healthcare
SYS-CON Events Expo Floor at New York City’s Jacob Javits Convention Center
Big Data Expo Silicon Valley 2014 Sample Sessions
The Perfect Storm Intensifies - The Convergence of BigData, Cloud and the Internet of Things is Now at Full Strength By Mac Devine
Almost everyone sees the potential of Internet of Things but how can businesses truly unlock that potential. The key will be in the ability to discover business insight in the midst of an ocean of Big Data generated from billions of embedded devices via Systems of Discover. Businesses will also need to ensure that they can sustain that insight by leveraging the cloud for global reach, scale and elasticity. Without bringing these three elements together via Systems of Discover you either end up with an Internet of somethings and/or a big mess of data. [continued]
Mac has 24 years of experience with networking and virtualization.
The first 7 of those years were spent in mainframe software development where he served as chief programmer for several VTAM releases. Mac then moved to mainframe software design where he served as chief designer for several Communications Server releases and lead the design work for Sysplex and SNA over IP networking (aka Enterprise Extender). [continued]
Building an Agile Big Data Infrastructure: A Different View By Cory Isaacson
There is no doubt that Big Data is here and getting bigger every day. Building a Big Data infrastructure today is no easy task. There are an enormous number of choices for database engines and technologies. To make things even more challenging, requirements are getting more sophisticated, and the standard paradigm of supporting historical analytics queries is often just one facet of what is needed. As Big Data growth continues, organizations are demanding real-time access to data, allowing immediate and actionable interpretation of events as they happen. Another aspect concerns how to deliver data in a meaningful way, one that really delivers on what end-users need to maintain a competitive position in fast-changing markets. [continued]
Real-Time Big Data: An Agile Approach
The truth is, today's databases are anything but agile — they are effectively static repositories that are cumbersome to work with, difficult to change, and cannot keep pace with application demands. Performance suffers as a result, and it takes far longer than it should to deliver new features and capabilities needed to make your organization competitive. As your application and business needs change, data repositories and structures get outmoded rapidly, resulting in increased work for application developers and slow performance for end users. Further, as data sizes grow into the "Big Data" realm, this problem is exacerbated and becomes even more difficult to address. A seemingly simple schema change can take hours (or more) to perform, and as requirements evolve, the disconnect between existing data structures and actual needs diverge. [continued]
Cory Isaacson is CEO/CTO of CodeFutures Corporation, maker of dbShards, a leading database scalability suite providing a true "shared nothing" architecture for relational databases. Cory has authored numerous articles in a variety of publications including SOA Magazine, Database Trends and Applications, and recently authored the book Software Pipelines and SOA (Addison Wesley). [continued]
Reading Your Customers: How the Data Science of Email is Solving Today's Business Problems
By Aaron Beach
There are 182 billion emails sent every day, generating a lot of data about how recipients and ISPs respond. Many marketers take a more-is-better approach to stats, preferring to have the ability to slice and dice their email lists based numerous arbitrary stats. However, fundamentally what really matters is whether or not sending an email to a particular recipient will generate value. Data Scientists can design high level insights such as engagement prediction models and content clusters that allow marketers to cut through the noise and design their campaigns around strong, predictive signals, rather than arbitrary statistics. [continued]
Speaker Bio: Aaron Beach is a data scientist with experience in email services, energy systems, privacy, social networks, mobile apps, natural language processing, recommendation systems and Big Data. He has a PhD in Computer Science and has published over 25 research papers. [continued]
Big Data's Potential in Helping To Secure the Internet of Things
By James G. Kobielus
The security devil is always in the details of the attack: the ones you've endured, the ones you prepare yourself to fend off, and the ones that, you fear, will catch you completely unaware and defenseless. The Internet of Things (IoT) is nothing if not an endless proliferation of details. It's the vision of a world in which continuous Internet connectivity and addressability is embedded into a growing range of human artifacts, into the natural world, and even into our smartphones, appliances, and physical persons. [continued]
Speaker Bio: James Kobielus is an industry veteran and serves as IBM's big data evangelist, as program director for big data analytics product marketing, and as editor-in-chief of IBM Data Magazine. He spearheads IBM's thought leadership activities in Big Data, Hadoop, enterprise data warehousing, advanced analytics, and cognitive computing. [continued]
Using Big Data to Make Key Business Decisions
By Ian Khan | Zel Bianco | Ermanno Bonifazi
Working with Big Data is challenging, especially when decision makers depend on market insights and intelligence from your data but do not have quick access to it or find it unusable. Learn how a revolutionary Cloud based BI along with Mobile Analytics is already changing the way organizations rely on data for decisions that affect operations as well as strategy. Also learn how combined Predictive Analytics, Data Modelling, Mobile, and Cloud BI are fast changing the key decision making mechanisms in the Enterprise. [continued]
Speaker Bio: Ian Khan leads Marketing initiatives at Solgenia, a global Cloud services provider with more than 3500 enterprise customers globally that includes Top Fortune 100 and Fortune 500 companies.
As the president, founder and CEO of Interactive Edge, Zel is responsible for setting the company's strategic vision and developing business alliances.
Ermanno is a visionary entrepreneur with over 20 years of experience in creating value for shareholders and growing his organizations. As the Founder and CEO of Solgenia, he brings forward new technologies through innovative and key enterprise solutions that address key business needs through the Cloud.
Encryption and Access Control for Cloud and Big Data Environments
By Charles Goldberg
Cloud and big data present unique dilemmas: Embracing the benefits of these new technologies while maintaining the security of your organization's assets. When an outside party owns, controls and manages your infrastructure and computational resources, how can you be assured that sensitive data remains private and secure? How do you best protect data in mixed use cloud and big data infrastructure sets? Can you still satisfy the full range of reporting, compliance and regulatory requirements? Join this discussion on how to address data security in cloud and big data environments so that your organization isn't next week's data breach headline. [continued]
Speaker Bio: Charles Goldberg is the Sr. Dir of Product Marketing at Vormetric. For the past 20 years, he has held a variety of roles across Research, Sales Engineering, Product Management and Marketing in the networking and security industry. His current interests include securing data at rest because it has become easy prey for hackers and an area ripe for innovation. He has a BS in Electrical Engineering from NYU-Polytechnic and his MS in Computer Science from Johns Hopkins University. [continued]
Making Interactive Video Streams Truly Instant
By Tom Paquin
When one expects instantaneous response from video generated on the internet, lots of invisible problems have to be overcome. [continued]
Speaker Bio:A Silicon Valley veteran, Tom Paquin provides vision, expertise and leadership to the technology research and development effort at OnLive as EVP and Chief Technology Officer. With more than 20 years of management experience at leading technology companies, Tom has a successful track record of turning new ideas into technology products that become household names. [continued]
Making Decisions on Streaming Data
By Ion Stoica
Amazon, Google and Facebook are household names in part because of their mastery of big data. But what about organizations without billions of dollars to spend on big data tools — how can they extract value from their data? Join Databricks CEO and co-founder Ion Stoica for a discussion surrounding how the zero management cost and scalability of the cloud is addressing the challenges and pain points that data engineers face when working with big data. Ion will share how the growing demand for cloud-based big data workloads and frameworks is shaping the future of big data analysis. [continued]
Speaker Bio:Ion Stoica is co-founder and CEO of Databricks, a company working to revolutionize big data analysis through the Apache Spark platform. He also serves as a professor of computer science at the University of California, Berkeley. Ion previously co-founded Conviva to commercialize technologies for large-scale video distribution. [continued]
High Performance, Scalable Big Data Solutions in a Bare Metal Cloud
By Harold Hannon
The cloud provides an easy onramp to building and deploying Big Data solutions. Transitioning from initial deployment to large-scale, highly performant operations may not be as easy. Understanding the benefits, weaknesses, and performance characteristics of public and bare metal cloud deployments can help you make the right decisions. [continued]
Speaker Bio:Mr. Hannon has worked in the field of software development as both an architect and developer for more than 15 years, with a focus on workflow, integration and distributed systems. He is currently a senior software architect at SoftLayer on the product innovation team. He has a passion for leveraging open source solutions to bring real value to the Enterprise space, and has implemented open source solutions with many companies across the globe. Mr. Hannon is also active in mobile application development, with multiple published applications. [continued]
Implications of Moore's Law on Hadoop Deployments: The Cost of Slow Time to Production
By Mason Katz
Hardware will never be more valuable than on the day it hits your loading dock. Each day new servers are not deployed to production the business is losing money. While Moore's Law is typically cited to explain the exponential density growth of chips, a critical consequence of this is rapid depreciation of servers. The hardware for clustered systems (e.g. Hadoop, OpenStack) tend to be significant capital expenses. Infrastructure teams should be aware of the capitalization and depreciation model of these expenses to fully understand when and where automation is critical. [continued]
Speaker Bio:Mason Katz is the Chief Technology Officer and co-founder of StackIQ. Prior to joining StackIQ, he co-founded the open source Rocks Clusters Group at the San Diego Supercomputer Center (SDSC) located on the campus of the University of California at San Diego (UCSD). [continued]
The Pain Curve – Lack of Automation Leads to Failure
By Greg Bruno
Due of the rise of Hadoop, many enterprises are now deploying their first small clusters of 10 to 20 servers. At this small scale, the complexity of operating the cluster looks and feels like general data center servers. It is not until the clusters scale, as they inevitably do, when the pain caused by the exponential complexity becomes apparent. I've seen this problem occur time and time again. This talk describes why clusters are so different from farms of single-purpose servers that reside in traditional data centers, and why without an automated solution that can address the cluster requirements, real pain is coming and failure is certain. [continued]
Speaker Bio:Greg Bruno is the Vice President of Engineering and co-founder of StackIQ. Prior to joining StackIQ, he co-founded the open-source Rocks Cluster Group at the San Diego Supercomputer Center (SDSC). He received his M.S. and Ph.D. in Computer Science from UCSD where he researched parallel file systems. Prior to the Rocks Cluster Group, he worked for 10 years at Teradata Systems where he developed cluster management software for the systems that supported the world's largest databases. [continued]
The Story Behind Big Decisions
By Jean-Francois Barsoum & Penelope Everall Gordon
Are your Big Data initiatives resulting in Big Impact or Big Mess? We'll share our successes in improving Big Decision outcomes by building stories compelling to the target audience – and our failures when we lost sight of the plotline, distracted by the glitter of technology and the lure of buried insights. Our cast of characters includes the agency head [city official? elected official??] perpetually waiting for the report from the latest exploratory committee and the division executive relying on gut instinct; and our epilogue offers guidelines that you can use to more effectively influence decisions and improve strategic decision outcomes. [continued]
Speaker Bio:Jean-Francois Barsoum has provided strategy advice to diverse clients, from telecoms to municipalities. He helped develop IBM's Smarter Cities concept and has been a keynote speaker on that topic on four continents. He is on the board of directors of several organizations, including Al Gore's Climate Reality Project. [continued]
The Next Wave of Big Data Analytics: Internet of Things and Sensor Data
By Hannah Smalltree
There's big data, then there's really big data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. Learn about IoT, big data and deployments processing massive data volumes from wearables, utilities and other machines. [continued]
Speaker Bio:As Director at Treasure Data, Hannah leads customer programs, technical communications strategy and content development. A former journalist and industry personality, Hannah Smalltree has written about analytics, BI and data management for years. [continued]
The Industrial Internet and the Cloud: Challenges in the Road Ahead
By Dave Duggal
The Industrial Internet revolution is now underway, enabled by connected machines and billions of devices that communicate and collaborate. The massive amounts of Big Data requiring real-time analysis is flooding legacy IT systems and giving way to Cloud environments that can handle the unpredictable workloads. Yet many barriers remain until we can fully realize the opportunities and benefits from the convergence of machines & devices with Big Data and the Cloud, including interoperability, data security and privacy. This session will focus on public-private work being done today to identify the IoT standards, architecture, frameworks and security needed to enable and accelerate the $32 trillion opportunity ahead. [continued]
Dave founded EnterpriseWeb LLC (www.enterpriseweb.com) in 2009. EnterpriseWeb® is an application platform for dynamic, data-driven applications and processes. Dave is a proven business leader who has made a career of building, growing and turning around companies and is a proponent of next generation 'smart' business processes. [continued]
The Spatial Component of your Big Data
By John Meza
This session will show how the spatial component of your BigData can be harnessed and visualized adding another dimension of power and analytics to your data. We will discuss the spatial queries that can be used within the Hadoop ecosystem and their integration with GeoSpatial applications. [continued]
Performance Engineering Team Lead at Esri. Team is responsible for performance, scalability testing, optimization, exploration and advocacy across all technologies. I'm personally involved in testing, optimization, and developing reference workflows for virtualization and BigData platforms. [continued]
Big Data Expo 2014 New York Sessions
Securing the Cloud: A Pragmatic Approach
By Majed Saadi
Fueled by the global economic situation, the government's focus on datacenter consolidation and the "Cloud First" initiative, Cloud Computing continues to be the buzzword of the year. As government agencies start to adopt cloud computing, additional challenges including security in the cloud have become prominent barriers to adoption.
Speaker Bios: Majed Saadi is the Director of the Cloud Computing Practice at SRA International. His practice encompasses service areas from Cloud Strategy Development to Cloud Management and all areas in between Cloud Readiness, Cloud Engineering, and Cloud Modernization. [continued]
Shape and Meaning: An Introduction to Topological Data Analysis
By Anthony Bak
Anthony Bak will discuss how Ayasdi uses Topological Data Analysis to solve complex problems for companies, foundations and academics. He will start with an overview of the core algorithm used in TDA and describe how it forms a unifying framework for many machine learning and data analysis tasks. He will demonstrate how Ayasdi turns this idea into a product with uses cases and a live demonstration of the software.
Speaker Bios: Anthony Bak is a Senior Data Scientist and Mathematician at Ayasdi, a data analytics startup based in Palo Alto CA. Prior to Ayasdi, Anthony was a postdoc at Stanford University where worked Ayasdi co-founder Gunnar Carlsson on new methods and applications of Topological Data Analysis. [continued]
Using Cascading to Build Enterprise Data Applications that Drive Innovation and Advantage
By Alexis Roos
Cascading is the popular Java-based application development framework for building Big Data applications on Apache Hadoop. This open source framework allows you to leverage existing skillsets such as Java, SQL, R, and more to create enterprise-grade applications without having to think in MapReduce. Concurrent, Inc.'s Alexis Roos will give an introduction to Cascading, how it works, and then dive into how enterprises can start building applications with Cascading. Come and see how companies like Twitter, eBay, Etsy, and other data-driven companies are taking advantage of Cascading and how Cascading is changing the business of Big Data in the enterprise!
Speaker Bios: Alexis Roos is a Senior Solutions Architect focusing on Big Data solutions at Concurrent, Inc. He has over 18 years of experience in software and sales engineering, helping both Fortune 500 firms and start-ups build new products that leverage Big Data, application infrastructure, security, databases and mobile technologies. Prior, Alexis worked for Sun Microsystems and Oracle for over 13 years, and has also spent time at Couchbase and several large systems integrators over in Europe. Alexis has spoken at dozens of conferences as well as university courses and holds a Master's Degree in Computer Science with a Cognitive Science emphasis. [continued]
Big Data. The Tools That Work.
By Avi Freedman
In the past 10 years, numerous solutions have been developed to deal with limitations in the leading relational databases. But knowing which offering works best per use case can be difficult to decipher. Learn tips from Avi Freedman, ServerCentral CTO, as he covers:
• the leading Big Data tools (like NoSQL, NewSQL, document database, graph database, MapReduce, and key-value stores)
• the problems they're designed to solve
• ways to use them with applications
• "gotchas" to consider
• what to ask vendors
Speaker Bios: Avi leads the definition, sales, and engineering of ServerCentral's cloud and VMware platforms. He specializes in helping organizations around the world translate business requirements into technology infrastructures that equally benefit the business and IT. Prior to joining ServerCentral, Avi founded the first ISP in Philadelphia. He was previously recognized as Distinguished Engineer and Chief Network Scientist for Akamai, and was featured in Forbes Magazine in 1995. [continued]
Supporting Decision Making: The BI Sweet Spot
By Michael Gendron
Technology is integrated into the DNA of business and of society itself. Some of the most recent entrants are Cloud Computing, Big Data, and Mobile. By putting these technologies together, we arrive at an intersection that creates a "sweet spot" where innovation can be enhanced within your organization. This session will put those pieces together and give you tools to move your organization toward that sweet spot.
In this presentation, the BI Sweet Spot is discussed. The BI Sweet Spot ecosystem includes mobile computing, cloud computing and Big Data. An overview for each of the key components and an explanation of how these components support the BI Sweet Spot will be given. That includes a discussion of best practices for managing these essential components. The best practices discussed in this presentation represent the first-of-its-kind work in BI research that considers the inter-relationships and the combined effect of mobile, cloud and Big Data.
Speaker Bios: Dr. Gendron is an internationally known thought leader on the intersection of business intelligence, mobile, cloud, and Big Data. He has an active LinkedIn and Twitter presence and is a regular contributor to the blog at www.AllAnalytics.com. His experience includes decades of IT management as he rose through the ranks from programmer to systems analyst to CIO. Currently, he is a professor of Information Systems at CCSU. Michael has presented at international conferences and the @CloudExpo boot camp. He has authored three books, Business Driven Data Communications (Prentice Hall), Business Intelligence Applied (Wiley/SAS), and his new book, Business Intelligence and the Cloud (Wiley/SAS). [continued]
Customer Data Paves Way for Purchase-to-use Attitude
By Matthew Shanahan
In the Subscription Economy, purchase-to-use is winning, and purchase-to-own is on its way out. The key to success is that customers are actually using a product or service and in the Subscription Economy, the future is clear: delivering value drives revenue. Accessing this data to understand usage, and resulting customer value, is mandatory to survival. Matt will discuss how businesses in industries such as telecom, SaaS, financial services, healthcare and education can, and are, leveraging data science methods to predict and avoid customer churn and increase revenue.
Speaker Bios: Matthew Shanahan has nearly 25 years of experience in the technology industry, recently serving as Chief Marketing Officer of Teranode Corporation, where he helped to establish the company as the thought leader for informatics infrastructure in the life sciences industry. In addition to his tenure at Teranode, Shanahan was the original product manager at Documentum and spent 10 years in leadership roles until the company was acquired by EMC. [continued]
Big Data's Potential in Securing the Internet of Things
By James G. Kobielus
Security is critical to Internet of Things (IoT) adoption because we want to make sure we can trust the sensors, actuators, rules engines and other connected componentry we embed in every element of our existence. Bringing this down to earth is as easy as pointing out that people's smartphones, tablets, wearable devices, appliances, entertainment centers and home security systems are all becoming IoT-connected endpoints. How vulnerable will you be to security vulnerabilities and privacy violations from any and all of these? In this session, Kobielus will discuss how IT professionals should approach addressing the security challenges of IoT. He will describe IoT vulnerabilities at the device, application, and network level. He will present a multi-layered IoT-security vision that includes incorporation of robust security protections into IoT products plus more global approaches that rely on consolidated big-data-powered security incident and event monitoring.
View Slides Here
Speaker Bios: James Kobielus is an industry veteran and serves as IBM's big data evangelist, as program director for big data analytics product marketing, and as editor-in-chief of IBM Data Magazine. He spearheads IBM's thought leadership activities in Big Data, Hadoop, enterprise data warehousing, advanced analytics, and cognitive computing. He advises IBM's product management and marketing teams on big data analytics. He has spoken at such leading industry events as Hadoop Summit, Strata, and Forrester Business Process Forum. He has published several business technology books and is a very popular provider of original commentary on blogs and many social media. [continued]
Scaling Big Data
By Cory Isaacson
Need to scale your data tier? The foundation of every application is the database layer, and today application architects have more choices than ever. With these choices come new questions: Which database technology is best for your application? How can your application take advantage of Big Data technology? Can you run your relational database at Big Data scale? What does it take to implement a comprehensive data infrastructure, including your core database, incorporating SQL, No SQL and Big Data platforms? How can you make a scalable database cluster more manageable? [continued]
Speaker Bio: Cory Isaacson is CEO/CTO of CodeFutures Corporation, maker of dbShards, a leading database scalability suite providing a true "shared nothing" architecture for relational databases. Cory has authored numerous articles in a variety of publications including SOA Magazine, Database Trends and Applications, and recently authored the book Software Pipelines and SOA (Addison Wesley). Cory has more than twenty years experience with advanced software architectures, and has worked with many of the world's brightest innovators in the field of high-performance computing. [continued]
Encryption and Access Control for Cloud and Big Data Environments
By Sol Cates
Cloud and big data present unique dilemmas: Embracing the benefits of these new technologies while maintaining the security of your organization's assets. When an outside party owns, controls and manages your infrastructure and computational resources, how can you be assured that sensitive data remains private and secure? How do you best protect data in mixed use cloud and big data infrastructure sets? Can you still satisfy the full range of reporting, compliance and regulatory requirements? Join this discussion on how to address data security in cloud and big data environments so that your organization isn't next week's data breach headline.
Speaker Bios: Sol Cates (@solcates) was promoted to the role of CSO at Vormetric in February 2013. As CSO, he is responsible for ensuring Vormetric's internal security profile remains robust while also understanding how security is perceived and used by IT/IS and how it drives technical decision making and buying behavior at the boardroom level. Cates partners with teams through the company to engage both customers and partners, and he speaks publicly to elevate industry understanding of data security best practices in today's complex cyber threat landscape. [continued]
How to Choose the Right Cloud Database
By Janakiram MSV
Database as a service (DBaaS) is cloud database that is hosted and managed by the cloud service providers that can be accessed through public cloud or the hybrid cloud. The cloud provider takes care of provisioning, configuring, setup, maintenance, backups and patching the database. Customers are expected to export the database and start consuming the service through the pay-as-you-go model.
Speaker Bio: Janakiram MSV is Head – Cloud Infrastructure Services at Aditi Technologies. He was the founder and CTO of Get Cloud Ready Consulting, a niche Cloud Migration and Cloud Operations firm that recently got acquired by Aditi Technologies.
Making Big Data Cost Effective in a Bare Metal Cloud
By Harold Hannon
The cloud provides an easy onramp to building and deploying Big Data solutions, particularly the latest technologies that favor scale-out architectures. Transitioning from initial deployment to a large-scale, highly performant operation without breaking the bank may not be easy.
Speaker Bio: Harold Hannon has been working in the field of software development as both an Architect and Developer for over 15 years, with a focus on workflow, integration and distributed systems.
Data Governance and Data Discovery
By Jeff Morris
Most companies only analyze subsets of their business data and fragmented data in several places--there is nothing "big" about that. By freeing IT time and resources, the process of analyzing your data can be streamlined, ensuring that all the data is in the system, complete, and available. With the operations, implementation, and data management outsourced and IT teams being used as dedicated shepherds of data into and out of the system, executives get the smartest data at their fingertips.
Speaker Bio: Jeff Morris is the Vice President of Product Strategy for GoodData. Previously, Jeff worked for over a decade as the VP of Product Marketing at Actuate.
Criminal Pattern Identification and the Philosophy of Big Security Data
By Steve Surfaro
Is crime cyclic in nature? Can we predict when it will occur in cities? How does this impact your IT operation and how can you leverage analytics?
We explore the efforts of Chicago and Philadelphia, Phoenix and Dallas in new crime fighting efforts using data analytics, cloud computing
Speaker Bio: With more than 25 years of security industry experience, Steve Surfaro is Axis Communications Industry Liaison and Chairman of the ASIS Physical Security Council. He is also Chairman of the SIA Digital Video Subcommittee, Chairman of the CSAA Video Services Subcommittee, Industry Liaison for the BICSI ESS Standard Committee and Standards Team Leader for the DHS Video Quality in Public Safety Group.
Big Data and The Internet of Things: A Survey of the Architecture and Technology That Will Connect the World
By Dan Rosanova
This session will examine how Big Data and Cloud Computing Technologies will shape the emerging Internet of Things that promises to connect a trillion devices in the next decade. The sheer numbers and volume of devices and data will overwhelm existing network and data management architectures currently deployed. From network topology and architectural framework to components and platforms this talk will provide a coherent introduction to the emerging Internet of Things powered by Big Data and the Cloud.
Speaker Bio: Dan Rosanova is a three-time Microsoft BizTalk Most Valuable Professional (MVP) with over fourteen years of experience delivering solutions on Microsoft and Solaris platforms in the financial services, insurance, banking, telecommunications, and logistics industries, where he has specialized in high volume and low latency distributed applications.
Big Data Competency
By Tony Shan
This presentation discusses the drivers, concept, means, and buildout of Big Data Competency. We start with why – the current resource deficit and the imperatives for new skillsets in the Big Data space. Then we define the concept of Big Data Competency as the core skills required in the implementations of Big Data initiatives.
Speaker Bio: Tony Shan is a Chief Architect, Big Data Consultant, Cloud Advisor, Hadoop Technologist, SOA Mentor, Practice Strategist, and Social Evangelist. He is a renowned expert and technology visionary with 20+ years of experience and guru-level knowledge on systems designs, architecture engineering, portfolio rationalization, product development, process standardization, and SOA. [continued]
General Session | Real-time Big Data: An Agile approach
By Cory Isaacson
You use an agile process, your goal is to make your organization more agile. What about your data infrastructure?
The truth is, today's databases are anything but agile — they are effectively static repositories that are cumbersome to work with, difficult to change, and cannot keep pace with application demands. Performance suffers as a result, and it takes far longer than it should to deliver on new features and capabilities needed to make your organization competitive. As your application and business needs change, data repositories and structures get outmoded rapidly, resulting in increased work for application developers and slow performance for end users. Further, as data sizes grow into the Big Data realm this problem is exacerbated and becomes even more difficult to address. A seemingly simple schema change can take hours (or more) to perform, and as requirements evolve the disconnect between existing data structures and actual needs diverge.
Speaker Bio: Cory Isaacson is CEO/CTO of CodeFutures Corporation, maker of dbShards, a leading database scalability suite providing a true "shared nothing" architecture for relational databases. Cory has authored numerous articles in a variety of publications including SOA Magazine, Database Trends and Applications, and recently authored the book Software Pipelines and SOA (Addison Wesley). Cory has more than twenty years experience with advanced software architectures, and has worked with many of the world's brightest innovators in the field of high-performance computing. Cory has spoken at hundreds of public events and seminars, and assisting numerous organizations address the real-world challenges of application performance and scalability -- effectively applying emerging technologies to a variety of fields including social networking, mobile applications, gaming and high volume transaction systems. In his prior position as president of Rogue Wave Software, he actively led the company back to a position of profitable growth, culminating in a successful acquisition by a leading private equity firm. Cory can be reached at: firstname.lastname@example.org [continued]
ARMONK, N.Y., Nov. 20, 2014 /PRNewswire/ -- IBM (NYSE: IBM) today announced that it is bringing a greater level of control, security and flexibility to cloud-based application development and delivery with a single-tenant version of Bluemix, IBM's
"BSQUARE is in the business of selling software solutions for smart connected devices. It's obvious that IoT has moved from being a technology to being a fundamental part of business, and in the last 18 months people have said let's figure out how to do it and let's put some focus on it, " explained Dave Wagstaff, VP & Chief Architect, at BSQUARE Corporation, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4-6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
The major cloud platforms defy a simple, side-by-side analysis. Each of the major IaaS public-cloud platforms offers their own unique strengths and functionality. Options for on-site private cloud are diverse as well, and must be designed and deployed while taking existing legacy architecture and infrastructure into account. Then the reality is that most enterprises are embarking on a hybrid cloud strategy and programs.
In this Power Panel at 15th Cloud Expo (http://www.CloudComputingExpo.com...
SYS-CON Events announced today that Windstream, a leading provider of advanced network and cloud communications, has been named “Silver Sponsor” of SYS-CON's 16th International Cloud Expo®, which will take place on June 9–11, 2015, at the Javits Center in New York, NY.
Windstream (Nasdaq: WIN), a FORTUNE 500 and S&P 500 company, is a leading provider of advanced network communications, including cloud computing and managed services, to businesses nationwide. The company also offers broadband, p...
“We help people build clusters, in the classical sense of the cluster. We help people put a full stack on top of every single one of those machines. We do the full bare metal install," explained Greg Bruno, Vice President of Engineering and co-founder of StackIQ, in this SYS-CON.tv interview at 15th Cloud Expo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
DevOps Summit 2015 New York, co-located with the 16th International Cloud Expo - to be held June 9-11, 2015, at the Javits Center in New York City, NY - announces that it is now accepting Keynote Proposals.
The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce software that is obsolete...
"People are a lot more knowledgeable about APIs now. There are two types of people who work with APIs - IT people who want to use APIs for something internal and the product managers who want to do something outside APIs for people to connect to them," explained Roberto Medrano, Executive Vice President at SOA Software, in this SYS-CON.tv interview at Cloud Expo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
“We are a managed services company. We have taken the key aspects of the cloud and the purposed data center and merged the two together and launched the Purposed Cloud about 18–24 months ago," explained Chetan Patwardhan, CEO of Stratogent, in this SYS-CON.tv interview at 15th Cloud Expo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
The Internet of Things is a misnomer. That implies that everything is on the Internet, and that simply should not be - especially for things that are blurring the line between medical devices that stimulate like a pacemaker and quantified self-sensors like a pedometer or pulse tracker. The mesh of things that we manage must be segmented into zones of trust for sensing data, transmitting data, receiving command and control administrative changes, and peer-to-peer mesh messaging.
In his session a...
"At our booth we are showing how to provide trust in the Internet of Things. Trust is where everything starts to become secure and trustworthy. Now with the scaling of the Internet of Things it becomes an interesting question – I've heard numbers from 200 billion devices next year up to a trillion in the next 10 to 15 years," explained Johannes Lintzen, Vice President of Sales at Utimaco, in this SYS-CON.tv interview at @ThingsExpo, held Nov 4–6, 2014, at the Santa Clara Convention Center in San...
As enterprises engage with Big Data technologies to develop applications needed to meet operational demands, new computation fabrics are continually being introduced. To leverage these new innovations, organizations are sacrificing market opportunities to gain expertise in learning new systems.
In his session at Big Data Expo, Supreet Oberoi, Vice President of Field Engineering at Concurrent, Inc., discussed how to leverage existing infrastructure and investments and future-proof them against e...
"Desktop as a Service is emerging as a very big trend. One of the big influencers of this – for Esri – is that we have a large user base that uses virtualization and they are looking at Desktop as a Service right now," explained John Meza, Product Engineer at Esri, in this SYS-CON.tv interview at Cloud Expo, held Nov 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today that Gridstore™, the leader in hyper-converged infrastructure purpose-built to optimize Microsoft workloads, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY.
Gridstore™ is the leader in hyper-converged infrastructure purpose-built for Microsoft workloads and designed to accelerate applications in virtualized environments. Gridstore’s hyper-converged infrastructure is the ...
We certainly live in interesting technological times. And no more interesting than the current competing IoT standards for connectivity. Various standards bodies, approaches, and ecosystems are vying for mindshare and positioning for a competitive edge. It is clear that when the dust settles, we will have new protocols, evolved protocols, that will change the way we interact with devices and infrastructure. We will also have evolved web protocols, like HTTP/2, that will be changing the very core...
SYS-CON Events announced today that Creative Business Solutions will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY.
Creative Business Solutions is the top stocking authorized HP Renew Distributor in the U.S. Based out of Long Island, NY, Creative Business Solutions offers a one-stop shop for a diverse range of products including Proliant, Blade and Industry Standard Servers, Networking, Server Options and...
You use an agile process; your goal is to make your organization more agile. But what about your data infrastructure?
The truth is, today's databases are anything but agile - they are effectively static repositories that are cumbersome to work with, difficult to change, and cannot keep pace with application demands. Performance suffers as a result, and it takes far longer than it should to deliver new features and capabilities needed to make your organization competitive. As your application an...
An effective way of thinking in Big Data is composed of a methodical framework for dealing with the predicted shortage of 50-60% of the qualified Big Data resources in the U.S. This holistic model comprises the scientific and engineering steps that are involved in accelerating Big Data solutions: problem, diagnosis, facts, analysis, hypothesis, solution, prototype and implementation.
In his session at Big Data Expo®, Tony Shan focused on the concept, importance, and considerations for each of t...
The 3rd International Internet of @ThingsExpo, co-located with the 16th International Cloud Expo - to be held June 9-11, 2015, at the Javits Center in New York City, NY - announces that its Call for Papers is now open.
The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.
In their session at @ThingsExpo, Shyam Varan Nath, Principal Architect at GE, and Ibrahim Gokcen, who leads GE's advanced IoT analytics, focused on the Internet of Things / Industrial Internet and how to make it operational for business end-users. Learn about the challenges posed by machine and sensor data and how to marry it with enterprise data. They also discussed the tips and tricks to provide the Industrial Internet as an end-user consumable service using Big Data Analytics and Industrial C...
As the Internet of Things unfolds, mobile and wearable devices are blurring the line between physical and digital, integrating ever more closely with our interests, our routines, our daily lives. Contextual computing and smart, sensor-equipped spaces bring the potential to walk through a world that recognizes us and responds accordingly. We become continuous transmitters and receivers of data.
In his session at @ThingsExpo, Andrew Bolwell, Director of Innovation for HP's Printing and Personal S...
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Several current trends in cloud computing leading into 2015 actually exhibit a tension between themselves. One trend, a well-known fact that will continue in the New Year to a greater extent, is that enterprises are rapidly moving to the cloud because of its operational efficiencies. This now includes enterprise projects that have sensitive data. Unlike the early days of “The Cloud,” enterprises are now stepping up with some of their crown jewels. Industries that will accelerate adoption in the New Year are Healthcare, Insurance, Utilities, Finance, and to some extent Banking.
Recently Arista released a white paper surrounding the idea that having deeper buffers running within the network can help to alleviate the incast congestion patterns that can present when a large number of many-to-one connections are happening within a network. Also known as the TCP incast problem. They pointedly targeted Hadoop clusters, as the incast […]
(article written for the Scality blog) It has been six years since I wrote my first object storage blog, even though I didn’t mention object storage in that specific article. I had my head in the clouds as our early cloud startup was being acquired by Sun Microsystem when someone asked me to write a […]
jKool LLC, a new company, spinning-off from Nastel Technologies is a highly scalable, SaaS solution for streaming analytics of Big Data. The jKool API is used to add real-time analytics to applications which will now be able to stream data into the service at jKoolCloud.com. The service analyzes the data as it arrives, delivering its users instant insight.
The story of the origin of jKool is interesting.
Some of Nastel’s customers found themselves hitting up against the upper limits of the performance and scalability of their relational databases. These customers were trying to acquir...
Only couple of weeks ago, Uber got $1.2B funding on a valuation of $41B! Earlier this year, Facebook paid over $19B to acquire WhatsApp. Dropbox is valued at $10B. All these three companies are less than five years old. What is going on? Is it a tech bubble seen earlier? No, it’s a start-up wealth gap as per Newsweek article by Kevin Maney.
Here is an interesting finding! A new study, which analyzed valuation data on thousands of tech startups, found that winning companies born since 2009 get to super-high valuations three times faster than companies started in the early 2000s. Looked at a...
Over the last couple of years, the usage of Relational databases for storing certain unstructured documents have been challenged and some architectures moved towards file system based storage like , HDFS, Amazon S3, GFS, Azure BLOB etc.. While the above mentioned file systems are good for scalability, performance in a few situations, we cannot discount the value of relational databases in securely storing the data and ensure that an hacker will not gain the semantics of the data so easily even if the physical network ...
Finance experts say the continued profits from Compuware’s mainframe business will be key to paying off the debt from the company’s $2.4-billion buyout.
A business plan based on giant mainframes might seem precarious and antiquated in today’s era of cloud computing and wearable devices. But industry experts note that predictions of an imminent Death of the Mainframe have been coming for decades and were always proven wrong.
640px-Compuware_logo.svgJason Bloomberg, president of Intellyx, an IT consulting firm, said mainframe computers are still heavily used in industries including banking...
For many of us in the enterprise software industry, modernizing IT while maintaining legacy systems is a tightrope walk where it pays to look ahead, stay balanced, and be nimble.
As 2014 races to a close, those of us focused on terminal emulation software solutions have a responsibility to look ahead and prepare for what the coming year will bring. With an eye toward a very real future, and insights brought by recent technology challenges and innovations, we offer four key predictions that will continue to inform and propel the connection of people to data.
Hortonworks went through an IPO last Friday, December 12, 2014. It’s initial price of $16 soared by 60% immediately after. Today the stock price is $24.70 with a market cap of $1.02B. Another billion dollar club member. They compete with Cloudera and MapR in packaging the open source Hadoop platform for customers. How do they make money when the basic Apache Hadoop is free? – by offering added services like training and consulting. They can also add auxiliary products (not open source) that customers must pay for. The interesting fact is that Hortonworks’s CEO had claimed a $100m revenue this ...
One of the questions I've been asked from the beginning of the Federal Cloud First initiative, is, "If my data is in The answer is not as clear-cut as the question. In theory, most cloud services offer extremely resilient platforms and a modicum of disaster recovery is built in. In fact, those cloud service provider (CSP) systems that have received an ATO through the FedRAMP program do have fairly sophisticated contingency plans in place, with Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) clearly articulated- and plenty of alternate processing sites, policies, and proce...
Consumer VCs like to make light of the Founders Fund mantra ‘We wanted flying cars, instead we got 140 characters.' For those of us working in the enterprise, it's actually the reverse, "They promised us 140 characters, instead we got Workday."
Since 2010, SaaS applications were supposed to "consumerize", but as anyone who has used the majority of SaaS applications released prior to 2014 knows, they are still clunky, punishing interfaces that happen to be hosted in someone else's datacenter. 2014 is proving to be the year where this changes, with a large wave of new-generation SaaS apps tha...
While the initial usage of the Cloud Platform was clearly for the IaaS offerings, the trend is shifting and the PaaS delivery model is gaining a lot of attention. Most of the analysts like IDC and Gartner have predicted huge growth for PaaS in the coming years. IDC predicts Platform as a Service (PaaS) and cloud storage services will be the fastest-growing categories, driven by major upticks in developer cloud services adoption and Big Data-driven solutions, respectively.
Companies in all industries have been moving some aspects of their operations away from traditional IT and data center functions to the cloud – but usually not everything. Doing so can be somewhat scary, for a myriad of reasons, especially if a company’s cloud strategy isn’t locked up, secure and ironed out ahead of time. More often than not, companies are finding their way to the hybrid cloud – commonly defined as the combination of an on-premise cloud or IT operation and a public cloud service.
@ThingsExpo has been named the Top 5 Most Influential M2M Brand by Onalytica in the ‘Machine to Machine: Top 100 Influencers and Brands.' Onalytica analyzed the online debate on M2M by looking at over 85,000 tweets to provide the most influential individuals and brands that drive the discussion. According to Onalytica the "analysis showed a very engaged community with a lot of interactive tweets. The M2M discussion seems to be more fragmented and driven by some of the major brands present in the M2M space. This really allows some room for influential individuals to create more high value inter...
At the onset of 2015 it seems that Business Intelligence software has become a nearly consensual part of any data-driven organization. Today companies large and small are realizing, more than ever, that "data is power", and that harnessing this power requires the right tools for the job.
But in the near future we might see BI take another direction: Rather than companies merely purchasing dashboard reporting software for the purposes of internal usage, we'll be seeing a surge in companies looking to integrate advanced analytics and reporting into their own products. Welcome to the world of ...