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  Think Big – Now Think Even Bigger
  Join Us at Internet of Things at Cloud Expo, November 11-13,
at the Javits Center!


The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago.

All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.

With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend Internet of Things at Cloud Expo in New York City. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!

Delegates to Internet of Things at Cloud Expo will be able to attend eight separate, information-packed tracks:

  • Enterprise Cloud
  • Digital Transformation
  • The API Enterprise | Mobility & Security
  • DevOps | Containers & Microservices
  • Cognitive Computing | AI, ML, DL
  • Big Data | Analytics
  • IoT | IIoT | Smart Cities
  • Hot Topics | FinTech | WebRTC

There are 120 breakout sessions in all, with Keynotes, General Sessions, and Power Panels adding to three days of incredibly rich presentations and content.


We'll see you in New York!



Day 3 Keynote at @ThingsExpo | Chris Matthieu, CTO of Octoblu
In his keynote at @ThingsExpo, Chris Matthieu, Director of IoT Engineering at Citrix and co-founder and CTO of Octoblu, focused on building an IoT platform and company. He provided a behind-the-scenes look at Octoblu's platform, business, and pivots along the way (including the Citrix acquisition of Octoblu).
  Themes & Topics to Be Discussed

Consumer IoT
• Wearables
• Smart Appliances
• Smart Cars
• Smartphones 2.0
• Automation
• 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

Enterprise IoT
• The Business Case for
x IoT
• Smart Grids
• Smart Cities
• Smart Transportation
• The Smart Home
• M2M
• Authentication/Security
• Wiring the IoT
• The Internet of
x Everything
• Digital Transformation
x of Enterprise IT
• Agriculture
• Transportation
• Manufacturing
• Local & State
x Government
• Federal Government

IoT Developers | WebRTC Summit
• Eclipse Foundation
• Cloud Foundry
• Linux Containers
• Node-Red
• Open Source Hardware
• Ajax and the IoT
• Leveraging SOA
• Multi-Cloud IoT
• Evolving Standards
• WebSockets
• Security & Privacy
x Protocols
• GPS & Proximity
x Services
• Bluetooth/RFID/etc
• XMPP
• Nest Labs



The Top Keynotes, the Best Sessions, a Rock Star Faculty and the Most Qualified Delegates of ANY Internet of Things Event!


The future of computing lies in these things. As computing takes a much more active role in our lives it will at the same time become much more invisible. Internet of Things Expo will address the challenges in getting from where we are today to this future.
 
The high-energy event is a must-attend for senior technologists from CEOs on down – including CIOs, CTOs, directors of infrastructure, VPs of technology, IT directors and managers, network and storage managers, network engineers, enterprise architects, and communications and networking specialists.




@ThingsExpo Power Panel | The World's Many IoTs: Which Are the Most Important?
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, panelists discussed what things are the most important, which will have the most profound effect on the world, and what should we expect to see over the next couple of years.
Benefits of Attending the Three-Day Technical Program
  LEARNexactly why Internet of Things is relevant today from an economic, business and technology standpoint.
  HEAR first-hand from industry experts the common issues and requirements for creating a platform for the Internet of Things.
  SEE what new tools and approaches the Internet of Things requires.
  DISCOVER how to drive a distributed approach to the Internet of Things, where applications move to the data.
  FIND OUThow the vast volumes of new data produced by the Internet of Things provides a valuable new source of business insight through advanced analytical techniques.
  MASTER how the ongoing development of smart cities, cars, and houses will enhance connectivity infrastructure.
Lunch Power Panel | Microservices & IoT- Moderated by Jason Bloomberg
In this Power Panel at @DevOpsSummit, moderated by Jason Bloomberg, president of Intellyx, panelists Roberto Medrano, Executive Vice President at Akana; Lori MacVittie, Evangelist for F5 Networks; and Troy Topnik, ActiveState's Technical Product Manager; and Otis Gospodnetic, founder of Sematext; peeled away the buzz and discuss the important architectural principles behind implementing IoT solutions for the enterprise. As remote IoT devices and sensors become increasingly intelligent, they become part of our distributed cloud environment, and we must architect and code accordingly. At the very least, you'll have no problem filling in your buzzword bingo cards.


Data Lake Plumbers | @BigDataExpo @Schmarzo #BigData #IoT #AI #ML #DL
The data lake is ideal for your data science team as it liberates them from the constraints & limitations of the data warehouse

Many of my blogs promote the business benefits of the data lake, both from a “save me more money” as well as the “make me more money” perspectives. But I fear that I’m making this thing called the data lake sound like a “silver bullet" [1] – just drop the data into the data lake and everything magically works. But much like in the world of data warehousing, there is significant work that needs to be done under the covers – in areas such as metadata management, data governance and security – to ensure that the data lake will perform for a business in a production environment. Many of the processes and techniques we learned in the data warehouse will benefit us here, though there are many new tools to be aware of that can help us in the operationalization task.

I’ve asked an industry expert in metadata management and data governance, Joe DosSantos (follow Joe on twitter: @JoeDosSantos) to co-author this blog with me. Well, to be honest, this mostly reflects Joe’s experience and thinking; I just wanted to get credit for being smart enough to know when to bring someone smarter than me into the conversation!

Data Lake Benefits
You know from previous blogs that there are many benefits to the data lake including:

  • Capture data from wide range of traditional (operational, transactional) and new sources (structured and unstructured) as-is
  • Store all your data in one environment for cross-functional business analysis
  • Support the analytics and data science to uncover new customer, product, and operational insights
  • Empower front-line employees and managers, and drive a more profitable customer engagement leveraging customer, product and operational insights
  • Integrate analytic insights into operational (Finance, Manufacturing, Marketing, Sales Force, Procurement, Logistics) and management systems (Business Intelligence reports and dashboards)

The data lake is ideal for your data science team in that it liberates them from the constraints and limitations of the data warehouse, enabling the data science team to quickly ingest, test and determine if there is any value to different data sets and analytic techniques without having to go through the rigorous operational procedures that govern the data warehouse.

However, this liberty can be quite terrifying in highly regulated environments. Companies have spent years developing governance and stewardship organizations specifically to control patient information, personal contact information, account balances, and other sensitive information. The description above seems to undo all of this work by creating free and easy access to data that should be locked down.

This is why the controls of a data lake need to be very clear. Data that is onboarded into a lake must go through a rigorous set of operational procedures to manage and govern that data set to make sure that it is appropriately tagged and protected, and then provisioned only to people who have the proper authorization. Modern data tools allow for this kind of governance capability to balance the quick and easy access to data that a data scientist needs with the security that good practices (and often the government) demand.

Operationalizing the Data Lake
Operationalizing the data lake requires several non-obvious disciplines, many of which we learned from our data warehouse experiences. These disciplines include data ingestion, indexing, cataloging, metadata management, data governance and security [2].

  1. As with a data warehouse, you will need a method to bring data into your environment. As batch windows became longer and longer in the data warehouse world and business users clamored for increasingly up-to-date information, practitioners began shifting from conventional data ETL (Extract, Transform, Load) to lower latency streaming and micro-batch. This trend was extended in the big data universe with tools like Kafka, a streaming message bus, and with Spring and Sqoop to accelerate data ingest. In the big data world, you might also want to ingest unstructured data sets as well, introducing new tools like Flume. Finally, you may want to trigger complex events based on this data stream and you might do so via Spark, Gemfire, or other in-memory grids. And just to make it more complex, you will likely use several of these tools in combination depending on your data feed needs. Keep in mind that in the world of ELT (Extract, Load, Transform) (note that the order differs from E-T-L), most of these data movements are data dumps. At this point, you have simply collected lots of raw data. It’s now time to make sense of it.
  2. Next, it is useful to tag files that you have ingested. What kind of file is this? What would be useful to know about it so that I could search for it later? Zaloni Bedrock is an example of a tool to apply metadata tags to the files, which is useful for both structured and unstructured data sets.
  3. We mentioned above that one of the key requirements of our data lake is having control over who can have access to specific data sources. Generally speaking, the data loaded in steps 1 and 2 is what we call “Bronze” data, meaning that it is good enough for the business process that created it. Data in these sets will likely be sensitive and your security should reflect it. However, we need to determine rules for how the data should be modified, obfuscated, or deleted in order to make it consumable for broader audience, or what we might call “Silver” status. You need to create business rules to manage data (e.g. birthdays should be masked and social security numbers should be stored as only the last 4). Collibra is an example of a tool for this rules definition and management. It allows data rules to be set up based on logical business entities by business people rather than technologists.
  4. For those people who are familiar with governance concepts, you will recognize the difference between a policy and a control. A policy is like a speed limit sign along the highway. The control is the police officer that pulls you over if you are driving over that speed limit. Data works the same way. While Collibra establishes the policy, you need to create a method for enforcing that policy. To do this, you need to find the logical entities buried in the data (i.e. “oh look, I found a social security number!”). Examples of such products include Global IDs for scanning structured data sets with the operational systems and Waterline for scanning data inside of Hadoop.
  5. Once you have found the data that you want, you want to implement the rules. For this, there is an open source tool called Atlas that contains an orchestration capability called Falcon that helps implement the rules.
    1. Apache Atlas is a scalable and extensible set of core foundational governance services that enables enterprises to effectively and efficiently meet their compliance requirements within Hadoop and allows integration with the complete enterprise data ecosystem.
    2. Apache Falcon is a data governance engine that defines, schedules, and monitors data management policies. Falcon allows Hadoop administrators to centrally define their data pipelines, and then Falcon uses those definitions to auto-generate workflows in Apache Oozie
  6. Now that the data is loaded, you will want to enforce security through your LDAP capability or possibly through Kerberos. There are also tools like Blue Talon that simplify the ability to authorize, provision, protect, enforce and audit data security policies across your data lake.
  7. Finally, audit controls are critical. Cloudera introduced Navigator specifically to allow simple transparency to data history and lineage. Hortonworks will rely on Atlas to provide this capability.

Data that has gone through the above processes creates a view and accessibility of the data that can be made available to a wide set of users – both business analysts and data science teams.

Summary
When you build a house, the vast majority of the creative work is in the features and curbside appeal. That’s the fun part. But without the underlying plumbing, the house would quickly degrade into a money pit.

Consider the metaphor of a retail store: stocking the shelves vs. purchasing goods. When you go to the store, you don’t care about how the goods got there, but the rules for accessing the goods are everywhere. Cigarettes are behind the front desk. Pharmaceuticals must be dispensed with a prescription. Razor blades are under lock and key (for some strange reason). There are policies and enforcements on stocking the shelves so that the shopping experience is clear and easy.

To successfully operationalize the data lake, organizations need to address all of the plumbing requirements outlined in this blog that enable the business users and data science teams to have confidence in the wealth of data that the organization is amassing. The data lake plumbing processes may not be very glamorous, but without them, you’ll end up with a stinky data dump instead of a glorious data lake.

References:

  1. A “silver bullet” is a simple and seemingly magical solution to a complicated problem.
  2. While I mention several tools, this blog is not meant to be an endorsement of these tools nor is this intended to be a comprehensive list of such tools. However, many of these tools are the same tools that we use in our data lake implementations at EMC.

Data Lake Plumbers: Operationalizing the Data Lake
Bill Schmarzo

About William Schmarzo
Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business” and “Big Data MBA: Driving Business Strategies with Data Science”, is responsible for setting strategy and defining the Big Data service offerings for Hitachi Vantara as CTO, IoT and Analytics.

Previously, as a CTO within Dell EMC’s 2,000+ person consulting organization, he works with organizations to identify where and how to start their big data journeys. He’s written white papers, is an avid blogger and is a frequent speaker on the use of Big Data and data science to power an organization’s key business initiatives. He is a University of San Francisco School of Management (SOM) Executive Fellow where he teaches the “Big Data MBA” course. Bill also just completed a research paper on “Determining The Economic Value of Data”. Onalytica recently ranked Bill as #4 Big Data Influencer worldwide.

Bill has over three decades of experience in data warehousing, BI and analytics. Bill authored the Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements. Bill serves on the City of San Jose’s Technology Innovation Board, and on the faculties of The Data Warehouse Institute and Strata.

Previously, Bill was vice president of Analytics at Yahoo where he was responsible for the development of Yahoo’s Advertiser and Website analytics products, including the delivery of “actionable insights” through a holistic user experience. Before that, Bill oversaw the Analytic Applications business unit at Business Objects, including the development, marketing and sales of their industry-defining analytic applications.

Bill holds a Masters Business Administration from University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science and Business Administration from Coe College.

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Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and ...
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2016 | 2015 | 2014 | 2013 | 2012
Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
@Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Flexential


Who Should Attend?
Senior Technologists including CIOs, CTOs & Vps of Technology, Chief Systems Engineers, IT Directors and Managers, Network and Storage Managers, Enterprise Architects, Communications and Networking Specialists, Directors of Infrastructure.

Business Executives including CEOs, CMOs, & CIOs , Presidents & SVPs, Directors of Business Development , Directors of IT Operations, Product and Purchasing Managers, IT Managers.

Join Us as a Media Partner - Together We Can Enable the Digital Transformation!
SYS-CON Media has a flourishing Media Partner program in which mutually beneficial promotion and benefits are arranged between our own leading Enterprise IT portals and events and those of our partners.

If you would like to participate, please provide us with details of your website/s and event/s or your organization and please include basic audience demographics as well as relevant metrics such as ave. page views per month.

To get involved, email events@sys-con.com.

@ThingsExpo Blogs
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups. As a result, many firms employ new business models that place enormous importance on software-based innovations. They require not only skilled occupations, such as data analysts ...
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Technological progress can be expressed as layers of abstraction - higher layers are built on top of lower layers treating them as abstract black boxes with known interfaces. A serverless approach represents an inflection point that entirely separates the runtime layer from the underlying execution infrastructure. This paves a way for computations where the ultimate execution environment is not known in advance. Albert Santalo is a computer scientist, serial entrepreneur and angel investor with experience in high growth, venture-backed technology companies. His passion lies in designing produc...
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