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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 New York Sessions Include..
Turning the Corner on Cloud Data Governance
By Evelyn de Souza
Cloud data governance was previously an avoided function when cloud deployments were relatively small. With the rapid adoption in public cloud - both rogue and sanctioned, it's not uncommon to find regulated data dumped into public cloud and unprotected. This is why enterprises and cloud providers alike need to embrace a cloud data governance function and map policies, processes and technology controls accordingly. This session will focus on how to set up a cloud data governance program and spans setting up an executive board to ensuring the availability, integrity, security and privacy of cloud data through its lifecycle. [continued]
Speaker Bio: Evelyn is a cloud compliance and data privacy strategy leader at Cisco responsible for championing solutions to address emerging industry trends. She is a strong proponent of building repeatable processes that enable organizations to sustain compliance while optimizing data security posture. Evelyn co-chairs the Cloud Security Alliance Cloud Controls Matrix (CCM), which harmonizes regulations and industry standards to a common framework [continued]
Is Your Data Encryption Kosher? By Ray Potter
Cryptography has become one of the most underappreciated, misunderstood components of technology. It's too easy for salespeople to dismiss concerns with three letters that nobody wants to question. 'Yes, of course, we use AES.' But what exactly are you trusting to be the ultimate guardian of your data? Let's face it – you probably don't know. An organic, grassfed Kobe steak is a far cry from a Big Mac, but they're both beef, right? Not exactly. Crypto is the same way. The US government requires all federally deployed technology to meet minimum standards. For encryption, if it hasn't been certified to meet the FIPS 140-2 benchmark, it is considered the equivalent of exposing your data in plain text. That's how crucial it is.
Speaker Bio: Ray Potter is the CEO and co-founder of SafeLogic. Previously, Ray founded Apex Assurance Group and led the Security Assurance program at Cisco Systems. Ray currently lives in Palo Alto and enjoys cycling and good bourbon, although not at the same time. [continued]
Big Data and IoT: For Enterprise Use Only? By Seth Robinson
The true value of the Internet of Things (IoT) lies not just in the data, but through the services that protect the data, perform the analysis and present findings in a usable way. With many IoT elements rooted in traditional IT components, big data and IoT isn't just a play for enterprise. In fact, the IoT presents SMBs with the prospect of launching entirely new activities and exploring innovative areas. CompTIA research identifies several areas where IoT is expected to have the greatest impact. Learn how your business can plug into the trends to deliver value in the long term.
Speaker Bio: Seth Robinson is the director of technology analysis for CompTIA, the leading trade association for the IT industry. In this role, he analyzes technology trends in the IT industry and provides insight into trend drivers and future direction. Seth has led research studies on cloud computing, mobility, Big Data, and IT security, among other areas. Previously, he spent 10 years in processor development at IBM, building the chips for the Xbox360, PS3, and Wii U. He has been cited in various media outlets, including Wall Street Journal and USA Today, for his thoughts on how businesses are using technology and how the role of IT is changing. [continued]
Deploy in Scale With Docker, CoreOS, Kubernetes and Apache Stratos By Lakmal Warusawithana
Platform-as-a-Service (PaaS) is a technology designed to make devops easier and allow developers to focus on application development. The PaaS takes care of provisioning, scaling, HA, and other cloud management aspects. Apache Stratos is a PaaS codebase developed in Apache and designed to create a highly productive developer environment while also supporting powerful deployment options.
Speaker Bio:Lakmal is Director - Cloud Architecture at WSO2 Inc who focuses cloud solution of WSO2 Products. Also Lakmal is vise president of Apache Stratos. Lakmal has more than 12 years of industry experience. In 2005, Lakmal co-founded the thinkCube, the pioneers in developing the next generation of Collaborative Cloud Computing products that are tailored towards Telecom operators. He oversaw the overall engineering process and focused special attention to scalability and service delivery of thinkCube solutions. [continued]
Moving Applications from On-Premise to Cloud By Michael Meiner
There are many considerations when moving applications from on-premise to cloud. It is critical to understand the benefits and also challenges of this migration. A successful migration will result in lower Total Cost of Ownership, yet offer the same or higher level of robustness. The range of cloud offerings(IaaS, PaaS, SaaS) will be analyzed, along with the benefits/challenges of migrating to each offering. Enterprise deployment considerations, including High Availability and Security, will be discussed. A demonstration will show migration to Amazon Elastic Cloud (EC2) and Weblogic Java Cloud Service, using applications build using Tomcat and other J2EE vendors.
Speaker Bio:Michael Meiner is an Engineering Director at Oracle Corporation. His organization is responsible for lifecycle Quality Assurance of the Fusion Middleware Suite of products, including: installation, configuration, upgrade, test-to-production and interoperability on a range of computing platforms and Operating Systems. The Fusion Middleware product suite supports both On-Premise as well as Cloud offerings. [continued]
What, Why, and How of IaaS and PaaS By Yung Chou
The essence of cloud computing is that all consumable IT resources are delivered as services. This session demonstrates the concepts and implementations two important cloud computing deliveries: Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). We will detail from business and technical viewpoints on what exactly they are, why we care, how they are different and in what ways, and the strategies for IT to transition into and take advantages of these emerging service models.
Speaker Bio:Yung Chou is a Technology Evangelist at Microsoft. Within the company, he has had opportunities serving customers in the areas of support account management, technical support, technical sales, and evangelism. Prior to Microsoft, he had established capacities in system programming, application development, consulting services, and IT management. His technical focuses have been on virtualization and cloud computing with strong interests in hybrid cloud and emerging enterprise computing architecture. He has been a frequent speaker in Microsoft conferences, roadshow and TechNet events. [continued]
Securing the Software Defined Data Center By Reuven Harrison
The Software Defined Data Center (SDDC), which enables organizations to seamlessly run in a hybrid cloud model (public + private cloud) is here to stay. IDC estimates that the software-defined networking market will be valued at $3.7 billion by 2016.
Speaker Bio:Reuven Harrison is CTO and Co-Founder of Tufin. Reuven brings more than 20 years of software development experience, holding key senior developer positions at Check Point Software, as well other key positions at Capsule Technologies and ECS. He received a Bachelor's degree in Mathematics and Philosophy from Tel Aviv University. [continued]
Hybrid Cloud: The Benefits Go Way Beyond The Total Cost of Ownership Savings By Pranav Parekh
Today, IT is not just a cost center. IT is an enabler and driver of business. With the emergence of the hybrid cloud paradigm, IT now has increasingly more capabilities to create new strategic opportunities for a business. Hybrid cloud allows an organization to utilize multi-tenant public clouds, dedicated private-clouds, bare-metal hosting, and the associated support and services for the right use cases through an on-demand, XaaS model.
Speaker Bio:Pranav Parekh is a Product Line Manager in the Managed Private Cloud business at Rackspace. Pranav is responsible for strategy, planning, and development of a portfolio of Managed Private Cloud and Managed Virtualization offerings at Rackspace. Before joining Rackspace, Pranav worked in various technical roles at Dell, where he lead the development of Dell's first private cloud offering, architected VDI solutions, and lead development of blade servers. Pranav has a master's degree in Electrical & Computer Engineering from The University of Texas at Austin. [continued]
Operational Hadoop and the Lambda Architecture for Streaming Data By Dale Kim
Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and internet-of-things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing and analyzing streaming data is the Lambda Architecture, representing a model of how to analyze real-time and historical data together. This presentation will cover the practice of capturing canonical data "as it lands" as a baseline for accommodating future analytics requirements.
Speaker Bio:Dale is Director of Industry Solutions at MapR. His technical and managerial experience includes work with relational databases, as well as non-relational data in the areas of search, content management, and NoSQL. Dale holds an MBA from Santa Clara University, and a BA in Computer Science from the UC Berkeley. [continued]
A Data Centric Approach to Big Data Management and Leveraging Analytics By Shahbaz Ali
Data–intensive companies that strive to gain insights from data using big data analytics tools can gain tremendous competitive advantage by deploying data centric storage. Organizations generate large volumes of data, the vast majority of which is unstructured. As the volume and velocity of this unstructured data increases, the costs, risks and usability challenges associated with managing the unstructured data (regardless of file type, size or device) increases simultaneously, including end-to-end data risk protection, search, discovery and access. This session will introduce new data centric strategies that focus on the value of information as a strategic business enabler.
Speaker Bio:Shahbaz Ali is the President, CEO and Co-founder of Tarmin, the leading pioneer of Data Defined Storage solutions. Shahbaz is a seasoned executive and visionary entrepreneur with over 20 years of experience creating dynamic solutions for enterprises. Shahbaz is a data management visionary who has successfully co-developed the award winning GridBank Data Management Platform, Tarmin's flagship product.
Scaling Global Databases - Beyond Consistency and Availability By Dave McCrory
Companies today struggle to manage the types and volume of data their customers and employees generate and use every day. With billions of requests daily, operational consistency can be elusive. This session will explore how a distributed systems solution, such as NoSQL, can give organizations the consistency and availability necessary to succeed with on-demand data, offering high availability at massive scale.
Speaker Bio:Dave is currently CTO at Basho Technologies. Most recently he served as SVP of engineering at Warner Music Group, where he led over 100 engineers building the company's new Digital Services Platform, based on an open source enterprise platform as a service. His extensive experience in the cloud and virtualization industry included positions as a senior architect in Cloud Foundry while at VMware and as a cloud architect at Dell. Earlier in his career, he experienced successful exits for two companies he founded: Hyper9 (acquired by SolarWinds) and Surgient (acquired by Qwest Software). Dave currently holds nine patented technologies in virtualization, cloud and systems management as a co–inventor. He is well known for inventing the concept and coining the term "Data Gravity," which states that as data accumulates, there is a greater likelihood that additional services and applications will be attracted to this data and add to it. [continued]
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]
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, ...
Vormetric on Wednesday announced the results of its 2015 Insider Threat Report (ITR), conducted online on their behalf by Harris Poll and in conjunction with analyst firm Ovum in fall 2014 among 818 IT decision makers in various countries, including 408 in the United States. The report details striking findings around how U.S. and international enterprises perceive security threats, the types of employees considered most dangerous, environments at the greatest risk for data loss and the steps or...
Companies today struggle to manage the types and volume of data their customers and employees generate and use every day. With billions of requests daily, operational consistency can be elusive.
In his session at Big Data Expo, Dave McCrory, CTO at Basho Technologies, will explore how a distributed systems solution, such as NoSQL, can give organizations the consistency and availability necessary to succeed with on-demand data, offering high availability at massive scale.
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...
SYS-CON Media announced that Splunk, a provider of the leading software platform for real-time Operational Intelligence, has launched an ad campaign on Big Data Journal. Splunk software and cloud services enable organizations to search, monitor, analyze and visualize machine-generated big data coming from websites, applications, servers, networks, sensors and mobile devices.
The ads focus on delivering ROI - how improved uptime delivered $6M in annual ROI, improving customer operations by minin...
SYS-CON Events announced today that ActiveState, the leading independent Cloud Foundry and Docker-based PaaS provider, has been named “Silver Sponsor” of SYS-CON's DevOps Summit New York, which will take place June 9-11, 2015, at the Javits Center in New York City, NY.
ActiveState believes that enterprises gain a competitive advantage when they are able to quickly create, deploy and efficiently manage software solutions that immediately create business value, but they face many challenges that ...
SYS-CON Media announced that Cisco, a worldwide leader in IT that helps companies seize the opportunities of tomorrow, has launched a new ad campaign in Cloud Computing Journal.
The ad campaign, a webcast titled 'Is Your Data Center Ready for the Application Economy?', focuses on the latest data center networking technologies, including SDN or ACI, and how customers are using SDN and ACI in their organizations to achieve business agility. The Cisco webcast is available on-demand.
Datapipe has acquired GoGrid, a provider of multi-cloud solutions for Big Data deployments. GoGrid’s proprietary orchestration and automation technologies provide 1-Button deployment for Big Data solutions that speed creation and results of new cloud projects.
“GoGrid has made it easy for companies to stand up Big Data solutions quickly,” said Robb Allen, CEO, Datapipe. “Datapipe customers will achieve significant value from the speed at which we can now create new Big Data projects in the clou...
The Internet of Things (IoT) is rapidly in the process of breaking from its heretofore relatively obscure enterprise applications (such as plant floor control and supply chain management) and going mainstream into the consumer space. More and more creative folks are interconnecting everyday products such as household items, mobile devices, appliances and cars, and unleashing new and imaginative scenarios. We are seeing a lot of excitement around applications in home automation, personal fitness,...
Dale Kim is the Director of Industry Solutions at MapR. His background includes a variety of technical and management roles at information technology companies. While his experience includes work with relational databases, much of his career pertains to non-relational data in the areas of search, content management, and NoSQL, and includes senior roles in technical marketing, sales engineering, and support engineering. Dale holds an MBA from Santa Clara University, and a BA in Computer Science f...
The Internet of Things (IoT) promises to evolve the way the world does business; however, understanding how to apply it to your company can be a mystery. Most people struggle with understanding the potential business uses or tend to get caught up in the technology, resulting in solutions that fail to meet even minimum business goals.
In his session at @ThingsExpo, Jesse Shiah, CEO / President / Co-Founder of AgilePoint Inc., showed what is needed to leverage the IoT to transform your business. ...
SYS-CON Events announced today that CodeFutures, a leading supplier of database performance tools, has been named a “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.
CodeFutures is an independent software vendor focused on providing tools that deliver database performance tools that increase productivity during database development and increase database performance and scalability during production.
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, addressed the big issues involving these technologies and, more important, the results they will achieve. Rodney Rogers, chairman and CEO of Virtustream; Brendan O'Brien, co-founder of Aria Systems, Bart Copeland, president and CEO of ActiveState Software; Jim Cowie, chief scientist at Dyn; Dave Wagstaff, VP ...
“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.
"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.
Performance is the intersection of power, agility, control, and choice. If you value performance, and more specifically consistent performance, you need to look beyond simple virtualized compute. Many factors need to be considered to create a truly performant environment.
In his General Session at 15th Cloud Expo, Harold Hannon, Sr. Software Architect at SoftLayer, discussed how to take advantage of a multitude of compute options and platform features to make cloud the cornerstone of your onlin...
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) tends to be significant capital expenses.
In his session at Big Data Expo, Mason Katz, CTO and co-founder of StackIQ, disc...
Software Defined Storage provides many benefits for customers including agility, flexibility, faster adoption of new technology and cost effectiveness. However, for IT organizations it can be challenging and complex to build your Enterprise Grade Storage from software.
In his session at Cloud Expo, Paul Turner, CMO at Cloudian, looked at the new Original Design Manufacturer (ODM) market and how it is changing the storage world. Now Software Defined Storage companies can build Enterprise grade ...
CodeFutures has announced Dan Lynn as its new CEO. Lynn assumes the role from Founder Cory Isaacson, who has joined RMS and will now serve as chairman of CodeFutures. Lynn brings more than 14 years of advanced technology and business success experience, and will help CodeFutures build on its industry leadership around its Agile Big Data initiatives. His technical expertise will be invaluable in advancing CodeFutures’ AgilData platform and new processes for streamlining and gaining value from gro...
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?
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adMarketplace captures and analyzes massive data to allow for efficient real-time bidding for traffic sources for online advertising and delivers rapid cost-per-click insights to advertisers.
The next BriefingsDirect bid data trailblazer interview examines how New York-based adMarketplace, a search syndication advertising network, has met its daunting data-warehouse requirements.
Learn here how adMarketplace captures and analyzes massive data to allow for efficient real-time bidding for traffic sources for online advertising. And we'll hear how the data-analysis infrastructure also delivers ...
Jason Bloomberg, president of agile digital transformation analyst firm Intellyx, has surpassed one million page views on the SYS-CON family of online magazines, which includes Cloud Computing Journal, Internet of Things Journal, Big Data Journal, SOA World Magazine, and several others. His home page at SYS-CON can be found at JasonBloomberg.SYS-CON.com.
Bloomberg is also a regular contributor to Forbes and Wired. He writes on a range of digital transformation, enterprise IT, and innovation topics.He is also a frequent conference speaker. His upcoming speaking engagements include:
"Appcore has been around since January 2008. We exclusively built clouds for service providers. We've been working with CloudStack since about that same time and our software sits on top of CloudStack," stated Jeff Tegethoff, CEO of Appcore, 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.
Code Halos - aka "digital fingerprints" - are the key organizing principle to understand a) how dumb things become smart and b) how to monetize this dynamic.
In his session at @ThingsExpo, Robert Brown, AVP, Center for the Future of Work at Cognizant Technology Solutions, outlined research, analysis and recommendations from his recently published book on this phenomena on the way leading edge organizations like GE and Disney are unlocking the Internet of Things opportunity and what steps your organization should be taking to position itself for the next platform of digital competition.
No, it’s not an endless loop waiting to happen, the plan here is to use Logstash to parse Elasticsearch logs and send them to another Elasticsearch cluster or to a log analytics service like Logsene (which conveniently exposes the Elasticsearch API, so you can use it without having to run and manage your own Elasticsearch cluster).
If you’re looking for some ELK stack intro and you think you’re in the wrong place, try our 5-minute Logstash tutorial. Still, if you have non-trivial amounts of data, you might end up here again. Because you’ll probably need to centralize Elasticsearch logs for th...
Small data management solutions don’t work in our brave new Big Data world. Back in the small data days, we talked proudly about having gigabytes of structured data that had been carefully denormalized to reduce latency as much as possible. Today’s data is measured in petabytes, and it is dynamic, complex, and wildly varied in structure.
Small data was a nicely planned garden, but Big Data is a jungle: rich with resources, abundant in growth, but also a bit overwhelming and easy to get lost in.
A couple years ago I attended several "fast pitch" competitions and events for entrepreneurs in Southern California, all designed to give startups a chance to "pitch" their ideas in about 60 seconds to a panel of representatives from the local investment community. Similar to television's "Shark Tank," most of the ideas pitches were harshly critiqued, with the real intent of assisting participating entrepreneurs in developing a better story for approaching investors and markets.
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 ...
Log data provides the most granular view into what is happening across your systems, applications, and end users. Logs can show you where the issues are in real-time, and provide a historical trending view over time. Logs give you the whole picture.
Traditionally log management and analytics has not been easy. We talk to customers who have spent hours digging through logs, writing complex search queries, and waiting...and waiting... for results to populate.
Big Data, AI, Machine Learning, Hadoop, Predictive Analytics — we hear these terms every day from companies such as Cloudera, Trifacta and Dato (formerly GraphLab) that are securing many millions in financing. I believe that 2015 will be the year when the conversation moves from Big Data to the Dataware stack. Over the past twelve months we have seen a lot of companies across the big data spectrum emerge and while the language can be the same, there are clear product categories that have emerged which describe the market opportunity and future growth.
Apache Drill is an open source, schema-free SQL query engine—that enables a business to extract the most value possible from data stored in Hadoop. Apache Drill does this by breaking down many of the technical barriers that had restricted the ways that analysts could work with data, and limited the intelligence that they could glean from it. With Apache Drill, data scientists are no longer constrained by the limitations of last generation tools, and they are free to work with data in a myriad of productive ways without draining IT resources.
At Graphflow, our mission is to empower online stores of all sizes to grow their businesses by providing them access to the same machine learning and Big Data tools used by the largest and most sophisticated tech players in the market.
To deliver on this mission, we decided from the very beginning to go ‘all in’ on Spark for our scalable analytics and machine learning applications. When Graphflow started using Spark, it was on version 0.7.0, and it was relatively immature. A lot has changed over the past year and a half: Spark has become a top-level Apache project, version 1.2.0 was release...
If you're part of the decision making process in how to get started with Big Data then you've probably already discovered that open source Apache Hadoop has a big lead. You also know that unless you've got a particularly deep NoSQL team or want to write your own proprietary code that the free open source version of Hadoop is not for the great majority of businesses. You want the benefits of open source but with some support and some capabilities that tie the open source components together in an enterprise quality database system. You want a Hadoop Distribution.
It’s been only a handful of months since my fellow Forbes pundits Mike Kavis and Ben Kepes bemoaned cloud provider Rackspace’s troubles competing in the cutthroat public cloud marketplace. “Companies like Rackspace simply cannot compete,” opined Kavis in July 2014. Back in May, Kepes snarkily pointed out that “Rackspace has long been something of a bridesmaid,” as they unsuccessfully explored selling themselves to the highest bidder. Yet, just as reports of Mark Twain’s death were exaggerated – or perhaps Monty Python’s “not dead yet”? – just so with San Antonio-based Rackspace Hosting, Inc. I...
As we enter 2015, it is time to dust off the crystal ball once again for our annual predictions forecast. The parade of new technology innovations and breakthroughs is unfolding across many fronts. In some cases the convergence of technologies themselves provides the breakthrough. The cloud, Internet of Things, mobile platforms, social media, Big Data and analytics, vertical-specific marketplaces and even wearables all have a part to play to transform industry and society and shape the new global economy.