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All-Star @BigDataExpo Silicon Valley Faculty Announced [#BigData]
Register for Big Data Expo FREE with Discount Code BigDataOCTOBER by October 31
By: Liz McMillan
Oct. 17, 2014 03:00 PM
Big Data means many things to many people. From November 4-6 at the Santa Clara Convention Center, thousands of people will gather at Big Data Expo to discuss what it means to them, how they are implementing it, and how Big Data plays an integral role in the maturing cloud computing world and emerging Internet of Things. Attend Big Data Expo and make your contribution.
Register for Big Data Expo "FREE" with
At Big Data Expo Silicon Valley delegates will 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 Silicon Valley. Attend, learn, and contribute to the discussion!
Big Data Expo Silicon Valley is Nov 4-6 at the Santa Clara Convention Center, Santa Clara, CA. We'll see you there!
Full Conference Schedule ▸ Here
Website: Big Data Expo
Bookmark "Big Data Journal" ▸ here
@BigDataExpo Silicon Valley (November 4-6, 2014, Santa Clara, CA)
The Perfect Storm Intensifies - The Convergence of Big Data, Cloud and the Internet of Things Is Now at Full Strength
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]
Building an Agile Big Data Infrastructure: A Different View
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]
Reading Your Customers: How the Data Science of Email is Solving Today's Business Problems
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]
Big Data's Potential in Helping To Secure the Internet of Things
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]
Using Big Data to Make Key Business Decisions
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]
Encryption and Access Control for Cloud and Big Data Environments
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]
Making Interactive Video Streams Truly Instant
When one expects instantaneous response from video generated on the internet, lots of invisible problems have to be overcome. [continued]
Making Decisions on Streaming Data
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]
High Performance, Scalable Big Data Solutions in a Bare Metal Cloud
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]
Implications of Moore's Law on Hadoop Deployments: The Cost of Slow Time to Production
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]
The Pain Curve - Lack of Automation Leads to Failure
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]
The Story Behind Big Decisions
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]
The Next Wave of Big Data Analytics: Internet of Things and Sensor Data
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]
The Industrial Internet and the Cloud: Challenges in the Road Ahead
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]
The Spatial Component of Your Big Data
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]
Conference Schedule Announced
Are you ready to put your data in the cloud?
What is the future of security in the cloud?
Does Docker quickly advance the development of an IoT application?
What are the implications of Moore's Law on Hadoop deployments?
Get all these questions and hundreds more like them answered at the 15th Cloud Expo, November 4-6, 2014, at the Santa Clara Convention Center, in Santa Clara, CA. The Cloud Expo / Big Data Expo / @ThingsExpo / DevOps Summit programs are now available for you to inspect and investigate in advance.
Our upcoming November 4-6 event in Santa Clara, California will present a total of 10 simultaneous tracks by an all-star faculty, over three days, plus a two-day "Cloud Computing Bootcamp" presented by Janakiram MSV, an Analyst with the Gigaom Research analyst network, where he covers the Cloud Services landscape.
Cloud and Big Data topics and tracks include: Enterprise Cloud Adoption, APM & Cloud Computing | Hot Topics, Cloud APIs & Business, Cloud Security | Mobility, Big Data | Analytics.
@ThingsExpo content tripled from a single track in New York to three simultaneous tracks: Consumer IoT, Enterprise IoT, IoT Developer | WebRTC Convergence.
DevOps Summit also doubled from a single track in New York to two simultaneous tracks: "Dev" Developer Focus and "Ops" Operations Focus.
Schedule for Cloud Expo / Big Data Expo / @ThingsExpo ▸ Here
Schedule for DevOps Summit ▸ Here
Now that we have published the full conference schedule, please check back for daily updates as we finalize new session abstracts by working with our distinguished faculty members. For your questions please contact us at events (at) sys-con.com. Last but not least we will announce our keynotes on the hottest subjects to be delivered by world-class speakers!
The largest 'Internet of Things' event in the world has announced "sponsorship opportunities" and "call for papers."
The 1st International Internet of @ThingsExpo was launched this June at the Javits Center in New York City with over 6,000 delegates in attendance. The 2nd International Internet of @ThingsExpo will take place November 4-6, 2014, at the Santa Clara Convention Center in Santa Clara, California, with an estimated 7,000 plus delegates attending over three days.
@ThingsExpo is co-located with 15th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading IoT industry players in the world. In 2014, more than 200 companies will be present on the @ThingsExpo show floor, including global players and the hottest new technology pioneers.
Sponsorship and Exhibit Opportunities for @ThingsExpo Silicon Valley and New York Are Now Available
For more information on sponsorship, exhibit, and keynote opportunities contact Carmen Gonzalez by email at events (at) sys-con.com, or by phone 201 802-3021. Book both events for additional savings!
@ThingsExpo Silicon Valley (November 4-6, 2014, Santa Clara, CA)
Secure Your VIP Pass to Attend @ThingsExpo Silicon Valley
To take advantage of this opportunity, attendees can use the coupon code "IoTSeptember" and secure their "@ThingsExpo Plus" registration to attend all keynotes and general sessions, as well as a limited number of technical sessions each day of the show, in addition to full access to the expo floor and the @ThingsExpo hackathon.
The registration page is located at the @ThingsExpo site here.
@ThingsExpo New York 2015 'Call for Papers' Now Open
Track 1 - Consumer IoT and Wearables: Smart Appliances, Wearables, Smart Cars, Smartphones 2.0, Smart Travel, Personal Fitness, Health Care, Personalized Marketing, Customized Shopping, Personal Finance, The Digital Divide, Mobile Cash & Markets, Games & the IoT, The Future of Education, Virtual Reality
Track 2 - Enterprise IoT: The Business Case for IoT, Smart Grids, Smart Cities, Smart Transportation, The Smart Home, M2M, Authentication/Security, Wiring the IoT, The Internet of Everything, Digital Transformation of Enterprise IT, Agriculture, Transportation, Manufacturing, Local & State Government, Federal Government
Track 3 - Developer IoT: WebRTC, Eclipse Foundation, Cloud Foundry, Docker & Linux Containers, Node-Red, Open Source Hardware, Leveraging SOA, Multi-Cloud IoT, Evolving Standards, WebSockets, Security & Privacy Protocols, GPS & Proximity Services, Bluetooth/RFID/etc., XMPP, Nest Labs
Download @ThingsExpo Newsletter Today ▸ Here
Chris Matthieu Named @ThingsExpo Tech Chair
Internet of @ThingsExpo named Chris Matthieu tech chair of Internet of @ThingsExpo 2014 Silicon Valley.
Chris Matthieu has two decades of telecom and web experience. He launched his Teleku cloud communications-as-a-service platform at eComm in 2010, which was acquired by Voxeo. Next he built an open source Node.JS PaaS called Nodester, which was acquired by AppFog. His latest startups include Twelephone. Leveraging HTML5 and WebRTC, Twelephone's BHAG (Big Hairy Audacious Goal) is to become the next generation telecom company running in the Web browser. Chris is currently co-founder and CTO of Octoblu.
About SYS-CON Media & Events
Cloud Expo® and Big Data Expo® and @ThingsExpo® are registered trademarks of Cloud Expo, Inc., a SYS-CON Events company.
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