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Big Data Management

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  • From Data with Love: How the data economy is impacting the insurance sector
    From Data with Love: How the data economy is impacting the insurance sector JS Gourevitch, Luca Schnettler, Petra Wildermann, Anil Celik, Thomas Lethenborg Recorded: Nov 20 2017 60 mins
    The data economy and digital technologies are deeply transforming almost all areas of our lives. One of the most heavily transformed revolve around insurance and healthcare with a number of really interesting development possibly redefining the way we take care of ourselves and the way we consumer and use insurance as well.

    From harnessing the power of data to better help mental health patients, carers and medical personnel with their treatments to assessing the risk of developing broad range of illnesses and engaging better with users to propose them personalised healthy life plans to using big data and analytics to track down and prepare for epidemics to using data to better cover cars and drivers with car insurances and finally using social media data for insurers to better engage with customers, this webinar will propose a fascinating exploration of the opportunities, risks, new models supporting the digital transformation in banking.

    Moderated by Jean-Stéphane Gourévitch
    With:
    Luca Schnettler, CEO and Founder, HealthyHealth (UK)
    Petra Wildermann, Business Development Director, Metabiota (Switzerland)
    Anil Celik, Co-founder and CEO Urbanstats (US)
    Thomas Lethenborg, CEO, Monsenso (Denmark)
  • Three Ways To Accelerate Your Data Lake Migration To Cloud
    Three Ways To Accelerate Your Data Lake Migration To Cloud Kelly Stirman, VP Strategy, Dremio Recorded: Oct 25 2017 45 mins
    Public cloud deployments have become irresistible in terms of flexibility, low barriers to entry, security, and developer friendliness. But the sheer inertia of traditional data lakes make them difficult to transition to cloud. In this talk we'll look at examples of how leading companies have made the transition using open source technologies and hybrid strategies.

    Instead of following a "lift and shift" strategy for moving data lake workloads to the cloud, there are new considerations unique to cloud that should be considered alongside traditional approaches related to compute (eg, GPU, FPGA), storage (object store vs. file store), integrations, and security.

    Viewers will take away techniques they can immediately apply to their own projects.
  • Becoming Data Driven: Building the Foundation of Digital Success
    Becoming Data Driven: Building the Foundation of Digital Success Nigel Turner Recorded: Oct 25 2017 54 mins
    Many organisations aspire to become digital, data driven enterprises. In these organisations data is viewed as a critical asset, both to generate new digitally based products and services, and to guide and improve business operations and decision making. But many companies are failing to live up to this aspiration. They struggle to develop and implement data strategies that align with, and help to deliver, new business strategies.


    This webinar will explore what becoming ‘data driven’ really means, examines some of the reasons why many organisations are failing to realise their ambitions, and propose ways of overcoming the challenges. Key to these is a strong emphasis on the increasingly critical importance of established data management disciplines, especially Data Governance, Data Quality and MDM, which all have a critical role to play in the digital business of the future.

    This session will explore:


    •What is a data driven organisation and how does it differ from a traditional company?
    •The main challenges of creating a data driven organisation
    •Building a data driven capability - the role of business and IT
    •The central importance of a business aligned Data Strategy and how to achieve it
    •Why a successful data strategy needs an integrated focus on Data Governance, Data Quality and MDM
  • Designing Data Lakes: Architecture options with open source tools
    Designing Data Lakes: Architecture options with open source tools Maloy Manna, PM Engineering, AXA Data Innovation Lab, Paris Recorded: Oct 25 2017 63 mins
    The concept of Data lakes evolved to address challenges and opportunities in managing big data.

    Organizations are investing massive amounts of time and money to upgrade existing data infrastructures and build data lakes whether on-premises or in the cloud.

    This talk will discuss architectures and design options to implement data lakes with open source tools. Also covered are challenges of upgrade & migration from existing data warehouses, metadata management, supporting self-service and managing production deployments.
  • Virtual Data Lake: A Reality
    Virtual Data Lake: A Reality Hélène Lyon, IBM, Distinguished Engineer, IBM Z Solutions Architect Recorded: Oct 25 2017 42 mins
    As an Enterprise customer, you are potentially using IBM Z in a hybrid cloud implementation. Let's understand how to benefit from cloud access to mainframe data without moving it outside z; thereby improving security, reducing integration challenges and answering your GDPR auditor's needs.
  • Using Docker to realise a modular Big Data Platform & Leveraging SANSA Stack
    Using Docker to realise a modular Big Data Platform & Leveraging SANSA Stack Dr. Hajira Jabeen, Senior Researcher at the University of Bonn Recorded: Oct 24 2017 43 mins
    Join this webinar where senior researches will present:

    1) Big Data Integrator Platform
    - Use of Docker and Docker swarm to realize a modular Big Data Platform

    2) Semantic Analytics Stack
    - Use of Big data distributed processing engines to leverage Scalable
    processing for the Semantic Web (RDF data representation, Querying,
    Inference, and Machine Learning)

    3) Seven societal challenges in Big Data Europe
    -Combination of different Big Data tools to create Big Data Value Chain
    (Pipeline) for different Use cases representing the societal challenges
  • Advanced Analytics in the Cloud - the latest cloud analytics innovations
    Advanced Analytics in the Cloud - the latest cloud analytics innovations Iver van de Zand Recorded: Oct 24 2017 64 mins
    Iver van de Zand will talk and demo on the latest SAP innovations for analytics in the cloud. Keywords are live connectivity and the closed loop of combined business intelligence, planning and predictive analytics all in one environment. Fully ready and prepared for big data.
  • Introduction to Blockchain: Bitcoin, Ethereum, Ledgers, and more
    Introduction to Blockchain: Bitcoin, Ethereum, Ledgers, and more David Siegel, Blockchain, decentralization and business agility expert Recorded: Oct 9 2017 71 mins
    Still confused about this whole Blockchain thing? Interested in investing in digital currencies, but not sure where to start? Want to get a better idea of the threats and opportunities?

    David Siegel is a Blockchain, decentralization and business agility expert who has been a high-level management & strategy consultant to companies like Sony, Hewlett Packard, Amazon, NASA, Intel, and many start-ups. David has been praised for being able to explain Blockchain in the most simple and interesting way.

    What you will learn:
    -What is Bitcoin?
    -What is the blockchain?
    -What is Ethereum? What is Ether?
    -What is a distributed application?
    -What is a smart contract?
    -What is a triple ledger?
    -What about identity and security?
    -What business models are at risk?
    -What are the opportunities?
    -What should we do?
  • Cloud Object Storage and the Use of Gateways
    Cloud Object Storage and the Use of Gateways Dan Albright, Cloud Object Storage Program Manager, IBM, Alex McDonald, SNIA Cloud Storage Chair, NetApp Recorded: Sep 26 2017 43 mins
    The use of cloud object storage is ramping up sharply, especially in the public cloud, to reduce capital budgets and operating expenses. However, enterprises are challenged with legacy applications that do not support standard protocols to move data to and from the cloud.

    Enterprises have developed strategies specific to the public cloud for Data Protection, Archive, Application development, DevOps, Big Data Analytics and Cognitive Artificial Intelligence. However, these same organizations have legacy applications and infrastructure that are not cloud friendly.

    Object storage is a secure, simple, scalable, and cost-effective means of managing the explosive growth of unstructured data enterprises generate every day. Gateways enable SMB and NFS data transfers to be converted to Amazon’s S3 protocol while optimizing data with deduplication and providing QoS efficiency on the data path to the cloud.

    This webcast will highlight the market trends toward the adoption of object storage and the use of gateways to execute a cloud strategy, the benefits of object storage when gateways are deployed, and the use cases that are best suited to leverage this solution.

    Join this webcast to learn:
    •The benefits of object storage when gateways are deployed
    •Primary use cases for using object storage and gateways in private, public or hybrid cloud
    •How gateways can help achieve the goals of your cloud strategy without
    retooling your on-premise infrastructure and applications

    Check out our Q&A blog from this webcast http://bit.ly/2zNxo4k
  • HDFS on Kubernetes: Lessons Learned
    HDFS on Kubernetes: Lessons Learned Kimoon Kim, Pepperdata Software Engineer Recorded: Sep 19 2017 46 mins
    HDFS on Kubernetes: Lessons Learned is a webinar presentation intended for software engineers, developers, and technical leads who develop Spark applications and are interested in running Spark on Kubernetes. Pepperdata has been exploring Kubernetes as potential Big Data platform with several other companies as part of a joint open source project.

    In this webinar, Kimoon Kim will show you how to: 

    –Run Spark application natively on Kubernetes
    –Enable Spark on Kubernetes read and write data securely on HDFS protected by Kerberos

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