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Hortonworks

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  • The Path to a Modern Data Architecture in Financial Services The Path to a Modern Data Architecture in Financial Services Vamsi Chemitiganti, GM - Financial Services at Hortonworks and Lee Phillips, Product Marketing at Attivio Recorded: Dec 1 2016 60 mins
    Delivering Data-Driven Applications at the Speed of Business: Global Banking AML use case.

    Chief Data Officers in financial services have unique challenges: they need to establish an effective data ecosystem under strict governance and regulatory requirements. They need to build the data-driven applications that enable risk and compliance initiatives to run efficiently. In this webinar, we will discuss the case of a global banking leader and the anti-money laundering solution they built on the data lake. With a single platform to aggregate structured and unstructured information essential to determine and document AML case disposition, they reduced mean time for case resolution by 75%. They have a roadmap for building over 150 data-driven applications on the same search-based data discovery platform so they can mitigate risks and seize opportunities, at the speed of business.

    Hosted by Hortonworks and Attivio
  • How to Build IoT Intelligence from Geographically Distributed Sensor Data How to Build IoT Intelligence from Geographically Distributed Sensor Data Hellmar Becker, Solutions Engineer, Hortonworks Recorded: Dec 1 2016 55 mins
    Apache MiNiFi is designed to make it practical to enable data collection from the second it is born, ideal for IoT scenarios where there are a large number connected devices or a need for a smaller and more streamlined footprint than Apache NiFi. Join us as we share a use case and demo of Apache MiNiFI, and how it can enable edge data collection from Raspberry PI’s attached to weatherproof antennas distributed all over the world.
  • Delivering a Flexible IT Infrastructure for Analytics on IBM Power Systems Delivering a Flexible IT Infrastructure for Analytics on IBM Power Systems IBM and Hortonworks Recorded: Nov 30 2016 53 mins
    Customers are preparing themselves to analyze and manage an increasing quantity of structured and unstructured data. Business leaders introduce new analytical workloads faster than what IT departments can handle. Legacy IT infrastructure needs to evolve to deliver operational improvements and cost containment, while increasing flexibility to meet future requirements. By providing HDP on IBM Power Systems, Hortonworks and IBM are giving customers have more choice in selecting the appropriate architectural platform that is right for them. In this webinar, we’ll discuss some of the challenges with deploying big data platforms, and how choosing solutions built with HDP on IBM Power Systems can offer tangible benefits and flexibility to accommodate changing needs.
  • Key Considerations for IT Leaders to Optimize Data Architectures for IoT & Cloud Key Considerations for IT Leaders to Optimize Data Architectures for IoT & Cloud Jennifer Riggins, Dave Russell (Hortonworks), Michael Bironneau (Open Energi), Alex Montgomery (Microsoft) Recorded: Nov 29 2016 61 mins
    Rapid data growth from a wide range of new data sources is significantly outpacing organizations’ abilities to manage data with existing systems. Today’s data architectures and IT budgets are straining under the pressure. In response, the center of gravity in the data architecture is shifting from structured transactional systems to cloud based modern data architectures and applications; with Hadoop at it's core.

    Join this live and on-demand video panel as they discuss how the landscape is changing and offer insights into how organizations are successfully navigating this shift to capture new business opportunities while driving cost out.
  • Real-Time Data Ingestion and Streaming Analytics with Hortonworks & Oracle Real-Time Data Ingestion and Streaming Analytics with Hortonworks & Oracle Sean Roberts, Hortonworks; John Mullis, Oracle Recorded: Nov 24 2016 56 mins
    Organizations today are looking to exploit modern DataArchitectures that combine the power and scale of Big Data Hadoop platforms with operational data from their Transactional Systems. In order to react to situations in an agile manner in real-time, low-latency
    access to data is essential.



    Hortonworks and Oracle can provide comprehensive solutions that allow organisations to respond rapidly to data events.




    During this webinar we will cover:

    - How Oracle GoldenGate empowers organisations to capture,route, and deliver transactional data from Oracle and non-Oracle databases for ingestion in real-time to HDP :registered:.


    - How GoldenGate complements HDF providing optimised delivery to Hadoop targets such as HDFS, Hive, Hbase, NoSQL, Kafka, to support customers with their real-time big data analytics initiatives.

    - How Oracle GoldenGate enables uses cases for analysis of data in motion



    Attend this webinar to learn how Hortonworks and Oracle can help you with your real-time big data analytics and streaming initiatives!
  • The Role of Big Data in Trade Surveillance & Market Compliance The Role of Big Data in Trade Surveillance & Market Compliance Paul Isherwood at Lloyds Banking Group; Vamsi K Chemitiganti at Hortonworks & Shant Hovsepian at Arcadia Data Recorded: Nov 22 2016 59 mins
    Today’s European financial markets hardly resemble the ones from 15 years ago. The high speed of electronic trading, explosion in trading volumes, the diverse range of instruments classes and a proliferation of trading venues pose massive challenges. With all this complexity, market abuse patterns have also become egregious. Banks are now shelling out millions of euros in fines for market abuse violations. In response to this complex world, European regulators thus have been hard at work.

    In this webinar, we will discuss how compliance teams are fighting back with Big Data and trying to stay out of regulatory hot water. Rapid response to suspect trades means compliance teams need to access and visualize trade patterns, real time and historic data, and be able to efficiently perform trade reconstruction at any point in time.

    Join Hortonworks and Arcadia Data for this live webinar on 22 November at 14:00 GMT, where we’ll cover the use case at a Top 25 Global Bank who now has deep forensic analysis of trade activity.
  • Are you Mature Enough to Handle this Big Data? Are you Mature Enough to Handle this Big Data? Abhas Ricky, Head of Customer Innovation Strategy EMEA, Hortonworks Recorded: Nov 22 2016 57 mins
    The fourth Industrial revolution is here, and competing to succeed in the 4.0 ‘digital’ world entails making the right decisions based on data driven pointers, to successfully implement your strategy. As we work with the entire stack of Fortune 100 organizations, we often see companies—particularly those operating across business lines with complex lines of businesses and/ or looking to break into new markets or asset classes— struggle to answer two questions:

    ‘How to innovate’ using the rich trove of data that they already have
    ‘Which systems and processes to renovate’ to get the best value for their investment

    Hortonworks Big Data Maturity Scorecard fills the knowledge gap. It gives you a better understanding of the opportunities unique to your business, and helps comprehend ‘how the maturity of your organization enables or inhibits your ability to strategically pursue big-data enabled business transformation programs aligned to your business goals. Join this webinar to learn more.
  • Partnerworks Office Hours: What's New in HDP 2.5 Partnerworks Office Hours: What's New in HDP 2.5 Sean Roberts, Partner Solutions Engineer, Hortonworks Recorded: Nov 17 2016 75 mins
    To better serve you, our partners, we are pleased to announce the monthly Partnerworks Office Hours.
    In each session we will cover a topic and leave plenty of time for discussion.

    This 1st session is scheduled at 15:00 GMT (10:00am US/East):

    What’s New in HDP 2.5, providing a brief overview including:
    - Dynamic Security Policies with Apache Atlas & Ranger Integration
    - Apache Zeppelin Notebook & Spark
    - Real-Time Applications: Storm, HBase & Phoenix
    - Streamlined Operations: Apache Ambari
    - Interactive Query: Hive with LLAP (Technical Preview)
  • How to get started with Apache MADlib on Hortonworks HDB How to get started with Apache MADlib on Hortonworks HDB Hortonworks; Pivotal Recorded: Nov 16 2016 31 mins
    Part four in a five-part series, this webcast will be a demonstration of the installation of Apache MADlib (incubating), an open source library for scalable in-database analytics, into Hortonworks HDB. MADlib is an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine learning methods for structured and unstructured data. This webinar will demonstrate the installation procedures, as well as some basic machine learning algorithms to verify the install.
  • Scaling real time streaming architectures with HDF and Dell EMC Isilon Scaling real time streaming architectures with HDF and Dell EMC Isilon Hortonworks; Dell EMC Recorded: Nov 10 2016 41 mins
    Streaming Analytics are the new normal. Customers are exploring use cases that have quickly transitioned from batch to near real time. Hortonworks Data Flow / Apache NiFi and Isilon provide a robust scalable architecture to enable real time streaming architectures. Explore our use cases and demo on how Hortonworks Data Flow and Isilon can empower your business for real time success.