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Big Data Drives The Cloud
& The Internet of Things!
Join Us at Big Data Expo West Nov 4-6 in Santa Clara!
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 West is the place where you can see the technologies and use cases that are delivering Big Data to enterprise IT.
Big Data Expo West is co-located at the Santa Clara Convention Center in the heart of Silicon Valley with Cloud Expo West--the world's most longstanding and significant event in the world of cloud computing.
Attend Big Data West 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 West. Attend, learn, and contribute to the discussion!
Big Data Expo West is Nov 4-6 at the Santa Clara Convention Center, Santa Clara, CA. 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]
Dyn solutions are at the core of Internet Performance. Through traffic management, message management and performance assurance, Dyn is connecting people through the Internet and ensuring information gets where it needs to go, faster and more reliably than ever before. Founded in 2001 at WPI, Dyn’s global presence services more than four million enterprise, small business and personal customers.
SimpleECM is the only platform to offer a powerful combination of enterprise content management (ECM) services, capture solutions, and third-party business services providing simplified integrations and workflow development for solution providers. SimpleECM is opening the market to businesses of all sizes by reinventing the delivery of ECM services. Our APIs make the development of ECM services simple with the use of familiar technologies for a frictionless integration directly into web applicat...
Samsung VP Jacopo Lenzi, who headed the company's recent SmartThings acquisition under the auspices of Samsung's Open Innovaction Center (OIC), answered a few questions we had about the deal. This interview was in conjunction with our interview with SmartThings CEO Alex Hawkinson.
IoT Journal: SmartThings was developed in an open, standards-agnostic platform, and will now be part of Samsung's Open Innovation Center. Can you elaborate on your commitment to keep the platform open? Jacopo Lenzi: S...
The Internet of Things will greatly expand the opportunities for data collection and new business models driven off of that data. In her session at Internet of @ThingsExpo, Esmeralda Swartz, CMO of MetraTech, will discuss how for this to be effective you not only need to have infrastructure and operational models capable of utilizing this new phenomenon, but increasingly service providers will need to convince a skeptical public to participate. Get ready to show them the money!
Things are being built upon cloud foundations to transform organizations. This CEO Power Panel at 15th Cloud Expo, moderated by Roger Strukhoff, Cloud Expo and @ThingsExpo conference chair, will address the big issues involving these technologies and, more important, the results they will achieve. How important are public, private, and hybrid cloud to the enterprise? How does one define Big Data? And how is the IoT tying all this together?
The only place to be June 9-11 is Cloud Expo & @ThingsExpo 2015 East at the Javits Center in New York City. Join us there as delegates from all over the world come to listen to and engage with speakers & sponsors from the leading Cloud Computing, IoT & Big Data companies.
Cloud Expo & @ThingsExpo are the leading events covering the booming market of Cloud Computing, IoT & Big Data for the enterprise. Speakers from all over the world will be hand-picked for their ability to explore the economic...
SYS-CON Events announced today that Cloudian, Inc., the leading provider of hybrid cloud storage solutions, has been named “Bronze Sponsor” of SYS-CON's 15th International Cloud Expo®, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Cloudian is a Foster City, Calif.-based software company specializing in cloud storage. Cloudian HyperStore® is an S3-compatible cloud object storage platform that enables service providers and enterprises to bui...
SAP is delivering break-through innovation combined with fantastic user experience powered by the market-leading in-memory technology, SAP HANA.
In his General Session at 15th Cloud Expo, Thorsten Leiduck, VP ISVs & Digital Commerce, SAP, will discuss how SAP and partners provide cloud and hybrid cloud solutions as well as real-time Big Data offerings that help companies of all sizes and industries run better. SAP launched an application challenge to award the most innovative SAP HANA and SAP ...
SYS-CON Events announced today that O'Reilly Media has been named “Media Sponsor” of SYS-CON's 15th International Cloud Expo®, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
O'Reilly Media spreads the knowledge of innovators through its books, online services, magazines, and conferences. Since 1978, O'Reilly Media has been a chronicler and catalyst of cutting-edge development, homing in on the technology trends that really matter and spurri...
Samsung promises to be one of the 800-pound gorillas of the IoT, if its success in recent years with Android devices and other consumer electronics is any guide. Showing its willingness to be a big IoT player, the company recently acquired SmartThings, a recent startup that's developed an open smarthome appliation that currently supports 1,000 devices and 8,000 apps. SmartThings will now work under the auspices of Samsung's Open Innovation Center (OIC). SmartThings Founder and CEO Alex Hawkinson...
The Internet of Things (IoT) is going to require a new way of thinking and of developing software for speed, security and innovation. This requires IT leaders to balance business as usual while anticipating for the next market and technology trends. Cloud provides the right IT asset portfolio to help today’s IT leaders manage the old and prepare for the new. Today the cloud conversation is evolving from private and public to hybrid. This session will provide use cases and insights to reinforce t...
What process has your provider undertaken to ensure that the cloud tenant will receive predictable performance and service? What was involved in the planning? Who owns and operates the data center? What technology is being used? How is it being supported? In his session at 14th Cloud Expo, Dave Weisbrot, Cloud Business Manager for QTS, will provide the attendees a look into what it takes to stand up and stand behind a highly available certified cloud IaaS.
SYS-CON Events announced today that Gigaom Research has been named "Media Sponsor" of SYS-CON's 15th International Cloud Expo®, which will take place on November 4-6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Ashar Baig, Research Director, Cloud, at Gigaom Research, will also lead a Power Panel on the topic "Choosing the Right Cloud Option."
Gigaom Research provides timely, in-depth analysis of emerging technologies for individual and corporate subscribers. Gigaom Research'...
I'll be hosting an SAP HANA Cloud webinar at 11am eastern time, Wednesday, October 29. You can sign up now.
Featured speakers will be Allan Adler, Managing Partner, Channel Cloud Consulting, and Thorsten Leiduck, VP ISVs & Digital Commerce, SAP.
Attendees will learn about
• Cloud economics, hybrid cloud strategy, market size and opportunity
• Introduction to SAP HANA Cloud Platform and how to:
- Build new next-generation applications
- Extend on-premise solutions non-disruptively throu...
Join both SAP and Channel Cloud Consulting for our webcast and uncover how you can extend your reach to capture a piece of the US$17 billion cloud application services market with SAP. Learn about SAPs market-leading SAP HANA Cloud Platform and an exciting opportunity to join SAPs growing ecosystem of Application Development partners.
When: October 29, 11:00am EST
Speakers: Allan Adler, Managing Partner, Channel Cloud Consulting
Thorsten Leiduck, Vice President ISVs & Digital Commerce, SAP
Application Performance Management (APM) has been bred with all the right elements to give us the insights we need to see the health of our applications. Similar to your most trusted watch dog, it alerts us to anomalies when events occur, providing awareness to the environment that only they can observe.
As enterprises embrace the DevOps philosophy, and the coalescence of the Development and Operations continues, I foresee the conditions ripening to foster innovative methods of making applicati...
SYS-CON Events announced today that IBM is holding a Bluemix Developer Playground on November 5, 10:30 am to 5:30 pm at 15th Cloud Expo.
15th Cloud Expo, co-located with @ThingsExpo, Big Data Expo, and DevOps Summit is taking place Nov. 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
The labs, for developers of all levels, will highlight the ease of use of Bluemix, its services and functionality and provide short-term introductory projects that developers can complete betw...
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 and devices with Big Data and the cloud, including interoperability, da...
Software AG helps organizations transform into Digital Enterprises, so they can differentiate from competitors and better engage customers, partners and employees. Using the Software AG Suite, companies can close the gap between business and IT to create digital systems of differentiation that drive front-line agility. We offer four on-ramps to the Digital Enterprise: alignment through collaborative process analysis; transformation through portfolio management; agility through process automation...
How do you know when a technology has become mainstream? A good clue may be when politicians start talking about it on the campaign trail and with mainstream media. David Cameron, the UK prime minister, was the latest, indicating that the world was now on “fast-forward” with the Internet of Things (IoT) ushering in the new industrial revolution. No mention of IoT targeted at the masses would be complete without the clichéd example of the communicating fridge. While it is easy to get caught up in...
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On Halloween day, let's take a quick look at some of the top things that are killing software testers...
Accelerated Release Cycles
In response to today's demand for speed and "Continuous Everything," the software delivery conveyer belt keeps moving faster and faster. Considering that software testing has long been a thorn in the side of the software delivery process, it's unreasonable to expect that simply trying to speed up an already-troubled quality process will achieve the desired results. (I Love Lucy fans: Just think of Lucy and Ethel at the candy factory, struggling to keep pace a...
The Smart Home concept is a subset of the Internet of Things(IoT). The core idea is to connect “things” (digital devices) to each other to facilitate communication, feedback, and alerting. In essence connecting the physical world with the digital world. We are installing new sensors and actuators into everyday devices that is leading to new IoT and Smart Home services by integrating existing solutions and technologies.
Since the birth of Hadoop in 2005-06, the way we think about storing and processing information has evolved considerably. The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, and “What is its business value?”. The Internet is overloaded with definitions, characteristics, and benefits; however, few discussions synthesize all three of these topics in one place. This paper answers these questions, and proposes a total cost calculation framework for CTOs and CIOs that are evaluating solution...
This is a follow-up blog that is part of a series of 2015 cloud predictions. The first one, entitled When the Walls Come Down, had the following as the central thesis: In 2015 the perceived costs of cloud migration for existing production apps will drop by more than 50%; it will trigger a massive (and […]
The "internet of things" is not coming. It's here.
Driven by the introduction of low-cost "things" that are actually useful, Silicon Valley's promised land of a wirelessly-linked network of everyday objects is slowly becoming a reality.
And for those who see the data-gathering potential, the prospects are salivation-inducing; a world where everything could sense its surroundings, gathering all kinds of data and then wirelessly delivering it to a central point for analysis.
It's hard to miss the world of opportunities that data collection and analysis have opened up. But how can you avoid having information overload?
It takes a lot of will power, in our data obsessed world to say "too much!" However, there are many ways where too much information is destroying productivity, and actually causing bad decision making, not good. But it is hard to avoid the world of opportunities that has been opened in data collection and analysis. So how do you balance the two? The first step is to understand there is a big difference between data collection, and it's utilization. ...
Consider that the Age of the Cloud has precipitated a new agent concept which is lightweight, deploys quickly, and goes in virtually undetected with zero configuration. These agents are built with a survival mode in mind including a self-healing option for hands-free maintenance. At the time when we were looking for a monitoring solution (2006-2007) APM as we know it today had yet to be defined. There was no Gartner MQ, real-user-monitoring (RUM) was too high level, “agent monitoring” brought concerns of overhead and complexity, instrumenting the application meant to ARM it (i.e. Application...
This is the third in a series of cloud predictions for 2015, starting with When the Walls Come Down, which predicted that workload migration (into the cloud) costs would drop by more than 50% in 2015; then continuing with The Cloud Startup Ecosystem Explosion, which predicted the impact that cloud market share gains in 2015 […]
Regardless if you’ve migrated multiple applications or this is your first migration to a public Infrastructure-as-a-Service (IaaS) you will want to run a small proof-of-concept to make sure that the basic elements of data flow operate as expected and your components will run in the IaaS environment. This week I spent some time experimenting with the three top IaaS offerings: Amazon AWS, Google Compute Cloud and Microsoft Azure. The architecture was relatively simple: 3 docker containers, one hosting a LAMP—Linux, Apache, MySQL & PHP—stack running WordPress, one hosting Postfix mail server forw...
The Internet of Things is only going to make that even more challenging as businesses turn to new business models and services fueled by a converging digital-physical world. Applications, whether focused on licensing, provisioning, managing or storing data for these "things" will increase the already significant burden on IT as a whole. The inability to scale from an operational perspective is really what software-defined architectures are attempting to solve by operationalizing the network to shift the burden of provisioning and management from people to technology.
You have probably realized we are having a Big Data kind of week here at the Plexxi blog. And for good reason. The amount of development and change in this big bucket of applications we conveniently label “Big Data”, is astonishing. Walking around at Hadoopworld in New York last week, I initially felt somewhat lost […]
Reston, VA-based Serena focuses on working with enterprise IT to build and release applications. A DevOps pioneer and proponent, the company aims to solve applications release complexity. We had a few questions for Mark Levy, Sr. Product Marketing Manager at Serena, and this is what he told us:
DevOps Journal: What original problems were you working to solve with customers when you started the company?
Mark Levy: Serena was founded in 1980 by Doug Troxel in Silicon Valley. Doug still takes a very active part in the company and serves on our board of directors.
From the very beginning...
The information technology sphere undergoes what we like to call a paradigm shift, sea change or plain old ‘upheaval’ roughly every five years or so.
Don’t ask anybody why this half decade cyclicality exists; it just has to be so. Accept that reinvention happens constantly and that major seismic shifts are tangibly felt by us human beings roughly every 1826.21 days… and we can move on.
The phenomena of Big Data continues to grow as companies of all sizes start to realize the potential ROI that comes from the correct use of massive amounts of data. MIT found that firms who can leverage Big Data can achieve 5-6 percent greater productivity and profitability than their competitors. Knowing the most common mistakes made when handling Big Data will help your organization achieve its goals.
The evolution of the database is under constant upheaval, discussion, debate and (if you will excuse the expression) 'analysis.'
This basic truth is now more relevant, pertinent and pressing than ever due to the prevalence of Big Data (and the need to impose analytics of insight upon it) driven by social, mobile, cloud and of course the Internet of (Every) Things.
Today then, as a staple of our IT infrastructure, databases have been around for over 50 years now with first references of the term dating back to the very early 1960s. Given that whole century of data, it is only really our last ...