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Big Data and Data Management

  • Maximize Business Critical Decision Making with an Innovative Big Data Platform
    Maximize Business Critical Decision Making with an Innovative Big Data Platform Laura Finkelstein, Director of Product Management, Netapp & Santosh Rao, Sr. Technical Director, NetApp Recorded: Dec 14 2017 58 mins
    It’s clear Big Data Analytics drives profitability and is becoming essential to the success of enterprises. Unfortunately, first generation, share-nothing analytics platforms are not sufficient to meet the security, reliability, scalability or performance requirements of business-critical applications. They lack fundamental capabilities necessary to protect critical data, drive costs down, and provide the flexibility needed to meet evolving needs.

    First generation Big Data Analytics platforms are built around clusters of individual compute platforms with internal direct-attached storage (DAS), but this architecture is inherently problematic and non-scalable. Component failure, particularly DAS, can cause the analytics’ process to fail or drastically slow down. There is no convenient way to back up the data and quickly restore it, nor any way to manage the data life cycle as analytics become core to the enterprise and the datasets grow exponentially. It is difficult to scale compute and storage elements independently, or even at all. In this webcast learn how an Innovative Big Data Analytics platform addresses and overcomes these challenges.

    This new, highly scalable analytics approach provides far more flexibility, and effortlessly leverages the cloud in combination with on-premises resources. Compute and storage infrastructure can be scaled independently – driven only by current requirements. Analytics applications can now efficiently access data directly from existing enterprise storage systems, eliminating unnecessary replication of data. See how an innovative big data analytics platform can reduce server, storage and software license costs by optimizing resource utilization, and provide all the data security, scalability, performance, and analytics capability required by your enterprise.
  • 5 Ways to Fuel Your Big Data Analytics in 2018
    5 Ways to Fuel Your Big Data Analytics in 2018 John Morrell, Senior Director Product Marketing, Datameer Recorded: Dec 14 2017 49 mins
    The big data analytics market has undergone continuous transformation since its’ inception and continued in 2017 with new innovations and a strong move to the cloud. But from the view of a customer, the world should be getting simpler, not more complex, and they expect products to make deployments faster and easier.

    Instead of complex, “piece together your own architecture” approaches, 2018 will be a year in which customers can really focus on what’s important – the data and analytics – and not the underlying technologies that support them, whether on-premise, in the cloud, or hybrid.

    In this session, John will explore five ways in which modern big data platforms will enable to you:

    -Accelerate your big data initiatives
    -Get more value from your data lakes
    -Drive faster, more innovative analytics
  • Rideshare to the Cloud: Cloud Security & the Shared Responsibility Model
    Rideshare to the Cloud: Cloud Security & the Shared Responsibility Model Ananda Rajagopal, VP, Products, Gigamon, Dan Watson, Managing Consultant CyberSecurity, IBM, Glenn Hernandez, Frm USCG CISO Recorded: Dec 14 2017 61 mins
    Public clouds provided by services like AWS and Azure continue to surge in popularity with organizations small and large. However, the security of these services and how the responsibility for it is shared can be murky. Organizations want to assure that the public cloud is being used properly by everyone in the enterprise and to run mission-critical applications while meeting compliance and security controls. Join Gigamon and (ISC)2 on Thursday, December 14, 2017 at 1:00PM Eastern for a roundtable discussion on public clouds and the shared responsibility model and how that can help to secure and protect your organization.
  • Big-Data-as-a-Service for Hybrid and Multi-Cloud Deployments
    Big-Data-as-a-Service for Hybrid and Multi-Cloud Deployments Anant Chintamaneni, Vice President, Products, BlueData; Saravana Krishnamurthy, Senior Director, Product Management, BlueData Recorded: Dec 14 2017 64 mins
    Join this webinar to see how BlueData's EPIC software platform makes it easier, faster, and more cost-effective to deploy Big Data infrastructure and applications.

    Find out how to provide self-service, elastic, and secure Big Data environments for your data science and analyst teams – either on-premises; on AWS, Azure, or GCP; or in a hybrid architecture.

    In this webinar, learn how you can:

    *Simplify Big Data deployments with a turnkey Big-Data-as-a-Service solution, powered by Docker containers
    *Increase business agility with the ability to create on-demand Hadoop and Spark clusters, in just a few mouse clicks
    *Deliver faster time-to-insights with pre-integrated images for common data science, analytics, visualization, and machine learning tools
    *Separate compute and storage, and while ensuring security and control in a multi-tenant environment

    See an EPIC demo – including our latest innovations – and discover the flexibility and power of Big-Data-as-a-Service with BlueData. It's BDaaS!
  • Lifting the Clouds: Understanding Storage Challenges in a Container Environment
    Lifting the Clouds: Understanding Storage Challenges in a Container Environment Bill Borsari, Director, System Engineering at Datera Recorded: Dec 14 2017 54 mins
    Containers can offer significant benefits for applications that are deployed using them. However, deploying containers at scale has significant implications for IT infrastructure, including storage management. A careful examination of the storage challenges presented by the various container systems and orchestration tools is essential to making the right choices for your environment.

    This webinar explores the storage challenges and different options for containers, the tradeoffs and functional differences between file, block and object storage approaches, as well as the architectural considerations and the various plugins available to help bring it all together.

    Discover how Datera’s self-managing software-defined storage uniquely solves challenges:

    -Dynamic provisioning
    -Auto scaling
    -Making storage invisible for Containers
  • Real World Use Cases for AI
    Real World Use Cases for AI Nick Patience (451 Research) and Mark Gamble (OpenText) Recorded: Dec 14 2017 54 mins
    The key to your enterprise's success lies in leveraging data, AI and analytics to improve processes and optimize your business. But what technologies and techniques should you use and what sorts of problems can AI solve for you? Join us to hear Nick Patience, Principal Analyst at 451 Research, discuss AI and explore how machine learning-based analytics benefits organizations across a variety of use cases. The session will include an overview of Magellan - OpenText's new AI and analytics platform - and will feature live demos and a customer case study. Attend to learn how Magellan can provide a powerful, cost effective, flexible option for implementing AI in your organization.
  • RIDE Containerized Data Science IDE server For Enterprise
    RIDE Containerized Data Science IDE server For Enterprise Ali Marami, Data Science Advisor at R-Brain Recorded: Dec 14 2017 45 mins
    RIDE is an all-in-one, multi-user, multi-tenant, secure and scalable platform for developing and sharing Data Science and Analytics, Machine Learning (ML) and Artificial Intelligence (AI) solutions in R, Python and SQL.

    RIDE supports developing in notebooks, editor, RMarkdown, shiny app, Bokeh and other frameworks. Supported by R-Brain’s optimized kernels, R and Python 3 have full language support, IntelliSense, debugger and data view. Autocomplete and content assistant are available for SQL and Python 2 kernels. Spark (standalone) and Tesnsorflow images are also provided.

    Using Docker in managing workspaces, this platform provides an enhanced secure and stable development environment for users with a powerful admin control for controlling resources and level of access including memory usage, CPU usage, and Idle time.

    The latest stable version of IDE is always available for all users without any need of upgrading or additional DevOps work. R-Brain also delivers customized development environment for organizations who are able to set up their own Docker registry to use their customized images.

    The RIDE Platform is a turnkey solution that increases efficiency in your data science projects by enabling data science teams to work collaboratively without a need to switch between tools. Explore and visualize data, share analyses, all in one IDE with root access, connection to git repositories and databases.
  • HAProxy's Dynamic Capabilities
    HAProxy's Dynamic Capabilities Nenad Merdanovic, Product Manager, HAProxy Recorded: Dec 14 2017 55 mins
    Responding to the need for an application delivery controller to be fully dynamic, HAProxy Technologies invested a lot of resources into developing HAProxy’s Runtime API and the LB-update module. In this webinar, we will demonstrate the abilities of the Runtime API which enables you to change the behavior of your application delivery controller on-the-fly.

    What you'll learn:
    How to dynamically scale your server farms
    How to perform maintenance on your servers
    How to change routing policies
    How the LB-update module can be used to dynamically update ACLs and maps by pulling a file from one central place
  • The Ideal Architecture for BI on Big Data
    The Ideal Architecture for BI on Big Data Scott Gidley Zaloni - VP of Product Management, Josh Klahr AtScale - VP of Product Recorded: Dec 14 2017 46 mins
    Watch this live online session and learn how to reconcile the changing analytic needs of your business with the explosive pressures of modern big data.

    Leading enterprises are taking a "BI with Big Data" approach, architecting data lakes to act as analytics data warehouses. In this session Scott Gidley, Head of Product at Zaloni is joined by Josh Klahr, Head of Product at AtScale. They share proven insights and action plans on how to define the ideal architecture for BI on Big Data.

    In this webinar you will learn how to

    - Make data consumption-ready and take advantage of a schema-on-read approach
    - Leverage data warehouse and ETL investments and skillsets for BI on Big Data
    - Deliver rapid-fire access to data in Hadoop, with governance and control
  • How AI is Transforming the World of Analytics
    How AI is Transforming the World of Analytics Andrew Yeung, Sr. Director of Product Marketing, ThoughtSpot Recorded: Dec 14 2017 47 mins
    Artificial Intelligence is a transformative capability that promises immense business potential—especially when infused in data analytics.

    Join ThoughtSpot to learn best practices for leveraging AI as a key enabler for analytics. We’ll discuss how to best understand and manage the potential opportunities and risks involved.
  • Enterprise Analytics Journey, the IBM point of view for IBM Z customers
    Enterprise Analytics Journey, the IBM point of view for IBM Z customers Hélène Lyon, IBM, Distinguished Engineer, IBM Z Solutions Architect Recorded: Dec 14 2017 41 mins
    IT is a key player in the digital and cognitive transformation of business processes delivering solutions for improved business value with analytics. This session will step by step explain the journey to secure production while adopting new analytics technologies leveraging mainframe core business assets
  • GDPR - Inside a Data Breach
    GDPR - Inside a Data Breach Patrick McGrath, Director of Solutions Marketing, Commvault Recorded: Dec 14 2017 50 mins
    Many headlines for the General Data Protection Regulation (GDPR) mention the eye-watering fines for a data breach, but what happens when you realize you have actually been the victim of one? How hard will it really be to comply with a 72-hour breach notification? In this session, an insider will describe the data breaches, the approaches used to manage these incidents, key lessons learned and considerations for handling data breaches in a world with GDPR expectations.
  • Big Data Analytics vs Privacy: Risks and Opportunities
    Big Data Analytics vs Privacy: Risks and Opportunities Rob Anderson, Head of Field Operations (Privitar),Tim Hickman, Associate (White & Case) Recorded: Dec 14 2017 58 mins
    Today's modern businesses gain competitive edge and remain innovative by using advanced analytics and machine learning. Utilising big data can build customer loyalty by improving personalised marketing campaigns; optimises fraud detection; and improves products and services by advanced testing. However, the data sets required for advanced analytics are often sensitive, containing personal customer information, and therefore come with an inherent set of privacy risks and concerns.

    This roundtable will cover a few key questions on data utility and privacy:

    - In what ways advanced analytics help businesses gain competitive edge?

    - What is defined as sensitive data?

    - Will GDPR affect the way you're allowed to use customer data?

    - What opportunities are there to utilise sensitive data?

    Unlocking the data’s true value is a challenge, but there are a range of tools and techniques that can help. This live discussion will focus on the data analytics landscape; compliance considerations and opportunities for improving data utility in 2018 and beyond.

    Key takeaways:

    - A view of the data protection landscape

    - How to remaining compliant with GDPR when using customer data

    - Use cases for advanced analytics and machine learning

    - Opportunities for maximising data utility in 2018
  • CTO Outlook: Big Data Gets Real
    CTO Outlook: Big Data Gets Real Anthony Deighton, CTO, Qlik | Charles Zedlewski, SVP, Cloudera | Mike Saliter, VP, Qlik Recorded: Dec 14 2017 46 mins
    Big Data has a big reputation. But for many organizations, it hasn’t lived up to the hype delivering real-world outcomes. That’s because Big Data can’t deliver value unless it’s accessible and analyzed in the right way. Qlik and Cloudera technology executives will be cutting through the hype to discuss Big Data technology that is available today and being utilized by customers around the world including the real-world customer examples.

    Qlik® is the leading visual analytics platform and the pioneer of user-driven business intelligence. Its portfolio of cloud-based and on-premise solutions meets customers’ growing needs from reporting and self-service visual analytics to guided, embedded and custom analytics, regardless of where data is located. Customers using Qlik Sense®, QlikView® and Qlik® Cloud, gain meaning out of information from multiple sources, exploring the hidden relationships within data that lead to insights that ignite good ideas. For more information please visit: www.qlik.com
  • Industry 4.0 - Digital Transformation in Action
    Industry 4.0 - Digital Transformation in Action Sam Giles & Dean Shaw, Microsoft; Eric Lo, Nexcom; Rick Peng, Moxa; Billion Wan, TCIT Recorded: Dec 14 2017 46 mins
    Industry 4.0, Smart Factories & Digital Transformation. The promise of a revolution in the way we build things in the future, a promise backed largely by the fluid exchange of data from previously disconnected factory components, but where is the evidence of this revolution? Join Microsoft and our partners to see first hand how real solutions are delivering real outcomes for businesses in the Manufacturing sector.
  • Have You Seen Your Data in Virtual Reality Yet?
    Have You Seen Your Data in Virtual Reality Yet? Wil Gieseler, Looker, Product Experience Engineer Elena Rowell, Looker, Product Marketing Manager Recorded: Dec 13 2017 43 mins
    Looker is pushing the bounds of how people explore and share data. Imagine being able to walk through your data - now you can. Like all things with VR, it’s difficult to understand without seeing it yourself. Join our online live streaming demo of LookVR.

    Attend to learn:

    · Which 2 dimensional visualizations translate best in VR
    · What drilling into the row level details looks like
    · How Looker’s data platform and API allow for endless possibilities
  • AR and VR by the Numbers: A Data First Approach to the Technology and Market
    AR and VR by the Numbers: A Data First Approach to the Technology and Market Nicolas Nadeau, President and Exostatic; Andrew Mayer, VR/AR Consultant Recorded: Dec 13 2017 46 mins
    With AR and VR technologies, it’s the first time that data collection has been part of the front-end strategy vs back-end process. As companies compete to create new, interactive experiences, data is the tool of choice to measure all aspects of player engagement and marketing effectiveness. In this webinar, two industry experts, Nicolas Nadeau and Andrew Mayer, will talk about the trends driving AR and VR markets today, and what data-driven approaches companies need to think about to compete in these markets tomorrow.

    Nicolas Nadeau - President, Exostatic

    Multidisciplinary entrepreneur who has been working in the gaming industry for more than 15 years, Nicolas produced video games for Ubisoft, Disney and Gameloft with his first company in 1999. He then joined the ranks of EA followed by Ubisoft as an economic designer and producer. He founded exostatic.com 5 years ago and worked with major clients such as Microsoft (US), BBC (UK), Hoplon (Brazil) & Warner Brothers. Amongst others, Exostatic is notably in charge of the complete app data pipeline for Mattel as well as analytics for one of the leading VR game developers, Survios.


    Andrew Mayer, VR/AR Consultant

    His unique insights on gameplay, platform, and player interaction have translated into highly successful projects in a variety of mediums, from tabletop to television (and everything in-between). During that time Andrew has worked with numerous companies including Sony, Time Warner, EA/Bioware, and Telepictures Productions. He has integrated interactive experiences with major intellectual properties, including Batman, Tonka Toys, Reader Rabbit, The Ellen Show, and much more.

    Andrew currently works as a consultant and teacher, helping students and companies create more powerful interactive experiences through the effective integration of play, content, engagement, and monetization across numerous platforms, including mobile, VR, and AR.
  • The Role of Data in XR
    The Role of Data in XR Amy Peck, Founder/CEO, EndeavorVR Recorded: Dec 13 2017 31 mins
    Knowledge is power, but how do we use data for better insights and understanding? What are the benefits and perhaps more importantly, what are the risks?

    In this webinar, we will look at both sides of Data in XR:

    • Data Visualization within a virtual environment
    ⁃ Examining large data sets in 3D
    ⁃ Translating 2D into 3D
    ⁃ Interacting with data
    ⁃ Rethinking how we analyze data

    • Capturing data from virtual environments
    ⁃ Data points from within the environments
    ⁃ How companies are using captured XR Data
    ⁃ Connecting 2D & 3D data sets
    ⁃ Privacy and personal data
  • Top Trends with Enterprise Class Data Lakes
    Top Trends with Enterprise Class Data Lakes Philip Russom, Sr. Research Director, TDWI Recorded: Dec 13 2017 63 mins
    Are your data lake efforts going to take off for your enterprise or be grounded in POCs forever? Leading analysts predict over 60% of big data projects will fail to graduate from proof of concepts this year. Today, many organizations are interested in new big data technologies like Hadoop, Spark, and Spark Streaming - as well as secular trends towards self-service data preparation and real-time streaming. These organizations must take a transformational approach to delivering enterprise class data lakes. Dr. Philip Russom of TDWI Research has identified common success patterns that lead to enterprise class data lakes. In this webinar, learn how to:

    •Leverage Dr. Russom’s Data Lake Manifesto, based on his years of research into organizational best practices
    •Understand common patterns of successful enterprise class data lakes
    •Exploit AI-driven approaches to data management to get more trusted data assets every time

    Join Dr. Russom and Informatica experts on this webinar to learn about industry trends in how organizations maximize the value of data lakes for enterprise class success.
  • 2018 IT Trends
    2018 IT Trends Greg Knieriemen, Chief Technology Evangelist and Marketing Strategist & Paul Lewis, Chief Technology Officer, Americas Recorded: Dec 13 2017 60 mins
    2017 was a watershed year for digital transformation. Though there were no major technology breakthroughs, we began to change the way we use technology. Cloud adoption increased and more applications were developed for the cloud. Corporate leadership showed deeper commitment to digital transformation, and productivity seemed to be on an upturn. In the top IT trends for 2018, Hu Yoshida focuses on the operational changes that affect IT instead of the changes in technologies. During this webinar, Greg Knieriemen and Paul Lewis will discuss Hu’s viewpoints and walk though their interpretations of IT trends to come in 2018.
  • How to Efficiently Unlock Your Data Potential
    How to Efficiently Unlock Your Data Potential Vitezslav Zak - Senior Consultant, CloverETL Recorded: Dec 13 2017 48 mins
    Customers around the world are embracing the CloverETL platform to eliminate clumsy hand-coded scripts and legacy data management solutions. Learn how to leverage CloverETL to simplify and automate data integration within your enterprise.

    In our 20 minute high-level overview, discover how to efficiently develop, orchestrate and automate data transformations, from file-to-database loads to automating complex data movement between databases, files and Web Service APIs. See real-life examples of how some of our customers deploy CloverETL for reporting, migration, warehousing and BI and how your organisation could too.

    Finally, we end with a live Q&A session, offering advice on your challenges and how to deliver your use case using CloverETL.

    The live session will close with a Q&A session, where we can walk through your specific concerns and use cases.
  • AI in VR: Enabling a world of “6 DoF” Analytics
    AI in VR: Enabling a world of “6 DoF” Analytics John Cutter, Product Manager, Watson Developers Labs & AR/VR Labs, IBM Recorded: Dec 13 2017 42 mins
    Augmented Reality and Virtual Reality hold the potential to affect nearly every facet of daily business. Those implications go beyond the disruptive nature of even the mobile phone.

    Explore the business implications of AR & VR with John as he discusses trends through the lens Big Data, Analytics, and AI.

    John, IBM’s Head of AR/VR Labs, will discuss real-world examples of compelling work in these categories, draw on the lessons learned, and expand on future trends that businesses should seriously consider when using AR or VR in their company.