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Data Management

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  • Everything You Wanted To Know About Storage-Turquoise: Where Does My Data Go
    Everything You Wanted To Know About Storage-Turquoise: Where Does My Data Go Rob Peglar, Symbolic IO, Scott Shadley, Micron, J Metz, Cisco, Chad Hintz, Cisco Recorded: Aug 1 2017 61 mins
    In this, the seventh entry in the “Everything You Wanted To Know About Storage But Were Too Proud To Ask,” popular webcast series we look into the mysticism and magic of what happens when you send your data off into the wilderness. Once you click “save,” for example, where does it actually go?

    When we start to dig deeper beyond the application layer, we often don’t understand what happens behind the scenes. It’s important to understand multiple aspects of the type of storage our data goes to along with their associated benefits and drawbacks as well as some of the protocols used to transport it.

    In this webcast we will show you more about the following:

    •Volatile v Non-Volatile v Persistent Memory
    •NVDIMM v RAM v DRAM v SLC v MLC v TLC v NAND v 3D NAND v Flash v SSDs v NVMe
    •NVMe (the protocol)

    Many people get nervous when they see that many acronyms, but all too often they come up in conversation, and you’re expected to know all of them? Worse, you’re expected to know the differences between them, and the consequences of using them? Even worse, you’re expected to know what happens when you use the wrong one?

    We’re here to help.

    It’s an ambitious project, but these terms and concepts are at the heart of where compute, networking and storage intersect. Having a good grasp of these concepts ties in with which type of storage networking to use, and how data is actually stored behind the scenes.

    Please join us on August 1st for another edition of the “Too Proud To Ask” series, as we work towards making you feel more comfortable in the strange, mystical world of storage.

    After the webcast, check out the Q&A blog http://sniaesfblog.org/?p=643
  • Containers and Persistent Memory
    Containers and Persistent Memory Arthur Sainio, SNIA NVDIMM SIG Co-chair, SMART Modular, Chad Thibodeau, Veritas, Alex McDonald, NetApp Recorded: Jul 27 2017 55 mins
    Containers can make it easier for developers to know that their software will run, no matter where it is deployed. This webcast, presented by the SNIA Cloud Storage Initiative and the SNIA Solid State Storage Initiative, will discuss how persistent memory is a revolutionary technology, which will boost the performance of next-generation packaging of applications and libraries into containers.

    You’ll learn:
    •What SNIA is doing to advance persistent memory
    •What the ecosystem enablement efforts are around persistent memory solutions
    •How NVDIMMs are paving the way for plug-n-play adoption into containers environments

    Join SNIA experts, Arthur Sainio, SNIA NVDIMM SIG Co-chair, Chad Thibodeau, SNIA Cloud Storage member and Alex McDonald Co-chair of SNIA Solid State Storage and SNIA Cloud Storage Initiatives to find out what customers, storage developers, and the industry want to see to fully unlock the potential of persistent memory in a container environment.
  • Data Analytics in Financial Services: Identifying obstacles and key issues
    Data Analytics in Financial Services: Identifying obstacles and key issues Alex Kwiatkowski (Finastra), Peter Jackson (Southern Water), Jessica Holzbach (Penta) Recorded: Jul 20 2017 61 mins
    In an increasingly digitalised world, the value of information grows ever higher. Winning organisations – whether in financial services or any other vertical sector – will be those who can harness the power of data analytics to develop microscopic levels of insight and foresight into customer behaviours and operational activities in order to make progressive improvements on a continuous basis. Product development informed by factual evidence rather than educated guesswork, or real-time risk management based on a hyper-accurate picture of exposures, bring significant internal and external benefits.

    However, while banks want to get closer to their customers, is the feeling mutual? Data privacy is a very sensitive issue, and the perception of what constitutes intrusion will likely vary between individuals. Institutions, therefore, need to walk a fine line between what’s genuinely useful and what’s genuinely creepy.

    During this webinar, a panel of respected subject matter experts will discuss and dissect the key issues related to the widespread use of data analytics in financial services, identifying the obstacles which need to be overcome and the enablers that will drive FS forward successfully.
  • How data visualization can deliver clearer insights for the Finance industry
    How data visualization can deliver clearer insights for the Finance industry Eva Murray and Andy Kriebel Recorded: Jul 19 2017 64 mins
    Death to Spreadsheets!

    Despite the growing popularity of data visualization tools across all industries, the finance sector still relies heavily on seeing data presented in tabular form. Analysts in financial institutions often spend a large part of their day pouring over spreadsheets, extracting numbers, pivoting tables, running macros and making adjustments before creating static reports to print for management meetings.
    But what happens if you have another question?


    We argue that there is a better way to approach financial data and to unlock more of the collective brain power of your analysts. We will show you a number of options for visualizing financial results, highlighting trends and developing KPI dashboards that provide real insights quickly. Because there are more valuable things your staff could be doing than wrangling with spreadsheets
  • Everything You Wanted To Know About Storage: Programming & Networking Had a Baby
    Everything You Wanted To Know About Storage: Programming & Networking Had a Baby Rob Peglar, Symbolic IO, J Metz, Cisco, Alex McDonald, NetApp, Dror Goldenberg, Mellanox Recorded: Jul 6 2017 59 mins
    In this, the sixth entry in the “Everything You Wanted To Know About Storage But Were Too Proud To Ask,” popular webcast series we look into some of the nitties and the gritties of storage details that are often assumed.

    When looking at data from the lens of an application, host, or operating system, it’s easy to forget that there are several layers of abstraction underneath before the actual placement of data occurs. In this webcast we are going to scratch beyond the first layer to understand some of the basic taxonomies of these layers.

    In this webcast we will show you more about the following:

    •Storage APIs and POSIX
    •Block, File, and Object storage
    •Byte Addressable and Logical Block Addressing
    •Log Structures and Journaling Systems

    It’s an ambitious project, but these terms and concepts are at the heart of where compute, networking and storage intersect. Having a good grasp of these concepts ties in with which type of storage networking to use, and how data is actually stored behind the scenes.

    Join us on July 6th for this session. We look forward to seeing you there!

    Check out the Q&A blog: http://sniaesfblog.org/?p=636
  • Binomial and Multinomial Logistic Regressions in R
    Binomial and Multinomial Logistic Regressions in R Ali Marami Chief Data Scientist Recorded: Jun 29 2017 49 mins
    Logistic regressions are the basic of machine learning. In this webinar, we discuss binomial and multinomial logistic regressions, how we implement them in R and test their performance. We will also review few examples of their usage in industry. In addition, you will learn how to use R-Brain advanced IDE when implementing the model.

    - Logistic regressions fundamentals and how to interpret estimates
    - Binomial and Multinomial logistic regressions
    - Implement logistic regressions in R
    - Performance measurement in logistic regressions
    - Generating and understanding ROC curve
    - Building confusion metrics and understanding its elements
    - Examples of model application in industry
    - Learn about new advanced IDE

    Presenter bio:

    Ali has a Ph.D. in Finance from the University of Neuchatel in Switzerland and a BS in Electrical Engineering. He has extensive experience in financial modeling, quantitative modeling, and financial risk management in several US banks.
  • Death to Traffic: How Smart Cities are Changing Transportation
    Death to Traffic: How Smart Cities are Changing Transportation Laura Schewel, CEO, StreetLight Data Recorded: Jun 23 2017 45 mins
    From automated vehicles to ride hailing apps, transportation as we know it is changing - and fast. But new technologies alone won't help communities build the efficient, equitable, and sustainable transportation networks communities want. In fact, these innovative technologies could do just the opposite, especially if they are not deployed wisely. Cities must collect the right data and enact the right policies to ensure they do not exacerbate problems like inequity and traffic, and to hold themselves accountable to the promise of new mobility technologies.

    In this webinar, you will find out why - and how - the smartest cities of tomorrow will be those that adopt data-driven transportation strategies today. Join for Laura Schewel's presentation to gain insights into:

    • Why the status quo for transportation data collection is no longer good enough
    • The types of Massive Mobile Data that are useful for transportation and urban planning
    • Algorithmic processing techniques that are critical for making this data useful
    • Case studies from California and Virginia that demonstrate why Massive Mobile Data drives more effective transportation planning
    • A forward-looking blueprint for using Massive Mobile Data to maximize the potential benefits of new transportation technologies - and minimize negative impacts

    Laura Schewel founded StreetLight Data, a mobility analytics provider, after spending more than a decade as an advanced transportation researcher and statistician at the Rocky Mountain Institute and FERC. She has particular expertise in transportation systems, sustainability and safety, and vehicle/system modeling and analysis.
  • Visualizing Smart Cities: How Data Visualization can help shape our communities
    Visualizing Smart Cities: How Data Visualization can help shape our communities Andy Kriebel, Head Coach at The Data School, Tableau Zen Master & Eva Murray, Tableau Evangelist at EXASOL, Tableau Trainer Recorded: Jun 23 2017 46 mins
    Whenever there is data, there is the chance to visualize it and gain valuable insights that can drive change and improvements. Governments have realized the potential that data holds for transforming our towns, cities, living spaces and communities to better address the needs of our modern society.

    Governments may want to change public transport services to suit commuters who move away from city centers due to increasing living costs, or develop programs that deliver more support services to areas showing high incidences of mental illnesses, or simply monitor bike traffic to assess the necessity of additional cycle lanes and bike share programs in our capitals. Data and data visualization can help us identify the needs of our communities and can support us in addressing them effectively.

    In this webinar Andy and Eva will present examples of Government using data to improve services for communities and will share how you can get involved through analyzing open data and becoming part of the wider 'dataviz' community.
  • IoT Business Modelling: Perspectives and Methodology
    IoT Business Modelling: Perspectives and Methodology Michael Kuegeler, Principal Solution Architect at Magic Software Recorded: Jun 23 2017 46 mins
    We will examine challenges regarding business model design in the emerging context of the Internet of Things (IoT).
    An unrefined IoT business model implies a significant risk in terms of investment and implementation.

    The key question is, "How can IoT application models be subjected to a reality check taking into account challenges pertaining technology, organization and target markets?"
  • How to get data moving: Impact of big data on transportation
    How to get data moving: Impact of big data on transportation Arwen Smit, Head of Marketing, dovu Recorded: Jun 23 2017 23 mins
    Moving from A-B is slowly being revolutionised through data. Car-sharing and ride-hailing are just the beginning. Thousands of connected devices are currently monitoring data points, and although stand-alone analysis can be useful, true innovation occurs when these data sets are combined to transform into something new.

    In the near future, IoT data explosion and the API revolution will collide to change city planning, urban movement and the role of the car in the 21st century.

    First off, we set out to understand what big data means in the context of transportation, answering questions such as what is it, where is it coming from, and what can you do with it.
    - Next, we'll zoom out and apply these learning to transport innovation in a wider context, considering how it will influence concepts such as urban movement, social mobility, and quality of life.
    - Finally, we'll discuss the relationship between open data and innovation.

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