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Big Data and Data Management

  • HPE 3PAR for unified storage with 3PAR File Persona
    HPE 3PAR for unified storage with 3PAR File Persona Vivek Anand Pamadi - HPE Product Management Jun 18 2018 3:00 pm UTC 75 mins
    Today’s data centers are expected to deploy, manage, and report on different tiers of business applications, databases, virtual workloads, home directories, and file sharing simultaneously.
    HPE 3PAR StoreServ is highly efficient, flash-optimized storage engineered for the true convergence of block, file, and object access to help consolidate diverse workloads efficiently.
    This session provides an overview HPE 3PAR File Persona and core file data services.
  • Single View (of the customer): Data Quality (in a Big Data world)
    Single View (of the customer): Data Quality (in a Big Data world) Davinity Powis, Pre-sales Consultant, Syncsort Jun 19 2018 10:00 am UTC 60 mins
    Data is everywhere! Growing exponentially in size, and complexity too. In this session, we look specifically at the ‘Holy Grail’ of Single Customer View, and at some of these techniques required to achieve that in your own data. But why is it exclusive to Customer Data? Isn’t product data is just as important to a Product manager as Customer Data is to a Marketer or Salesperson? Davinity explores the DQ techniques which can be applied to any type or kind of data to keep it clean and fit for purpose. And is there any difference in achieving such high Data Quality in a Big Data space over more traditional environment? Tune in to find out…
  • You Can't Make Good Business Decisions Today with Yesterday's Data
    You Can't Make Good Business Decisions Today with Yesterday's Data Larry Romireo at EFCO Corporation & Giacomo Lorenzin, Managing Director, Direct Solutions at BackOffice Associates Jun 19 2018 3:00 pm UTC 45 mins
    There is a growing demand for high-speed analytic database systems and platforms where data can be processed at lightning speed for business decision-making. However, is that data up-to-date? If the process to update that data is batch or overnight, the data delivery may be fast, but the information may be outdated which can result in error-prone reporting and ineffective (or disastrous) business decisions.

    For successful analytics it’s important to move data in real time from multiple systems, including legacy databases, so that combined data can be properly presented in a uniform way.

    Change Data Capture is a technology employed in the best data replication solutions to minimize the amount of time and resources necessary to update data changes from one system to another. By propagating only what’s changed since the last check on the source system, minimal data is passed between systems in order to ensure identical copies of data on both source and target.

    Change Data Capture is frequently used to select and update copies of key data for operational reasons such as maintaining activity on separate systems that interact externally with customers or vendors, or remote systems that interact with corporate databases. However, it is also useful to maintain freshly updated data in systems that are used extensively for non-transactional activity, such as for analysis, reporting and data warehousing.

    Main points:
    1.Retrieving information from any source database for your analytic system
    2.Specialized and configured support to load data into the analytic system
    3.Automatically prepare and map the data between systems, saving time and resources
    4.Best-in-class process to automatically and continuously update data
    5.Change Data Capture saves time, money and effort through efficient and cost-effective technology
  • Building Event-Driven Systems at the Speed of IoT
    Building Event-Driven Systems at the Speed of IoT Blaine Mathieu, CMO, VANTIQ Jun 19 2018 3:00 pm UTC 60 mins
    Legacy development approaches and tools simply aren’t architected to handle the enormous flow of real-time, event-driven, data streams generated by IoT devices, existing systems, and people.

    In this session, learn how the revolution in event-driven application platforms enable innovative companies to develop, deploy and run real-time enterprise applications with dramatically reduced time-to-market, significantly lowered development and maintenance costs, and maximized agility in the face of requirements for continuous innovation and digital transformation.
  • Modernize and Migrate Applications Off Legacy Databases
    Modernize and Migrate Applications Off Legacy Databases Dana Rafiee, Executive Director, Destiny Corporation & Wayne Monk, SVP Global Alliances and Channel, ASG Technologies Jun 19 2018 5:00 pm UTC 45 mins
    Having the right processes run on the right platforms makes sense, but meeting this challenge can be harder than it seems. In many cases, these processes have been running on their current platforms for years and the team that set them up is no longer with the company. This type of situation leaves the IT department with big software maintenance costs and outdated infrastructure.

    Join ASG and Destiny on June 19th at 1:00pm EST for a live webinar as we share information and guidance to help IT managers modernize their legacy environment, including how to:
    •Understand upstream/downstream application interactions
    •Refactor to a modern toolset and architecture
    •Surface “unseen” personal data that may impact compliance risk
    •Leverage change analysis and application understanding into a foundation for regulatory compliance and ongoing application management
  • DeepStorage Test Drive: Tegile IntelliFlash T4000AFA
    DeepStorage Test Drive: Tegile IntelliFlash T4000AFA Howard Marks Founder and Chief Scientist Deepstorage; Gokul Sathiacama, Director, Product Marketing, Data Center Systems Jun 19 2018 5:30 pm UTC 45 mins
    DeepStorage Labs is known in the storage industry for pushing equipment to its limits, and for reporting what really happens at the edge of a system’s performance. Tegile’s IntelliFlash T4000, unlike a few previous occupants of the DeepStorage Labs ThunderDome, stood up to our testing and delivered high IOPS at a maximum of 1MS latency.

    DeepStorage subjected the InteliFlash T4000 workloads from the usual 4KB “hero number” random read to workloads that simulate OLTP and OLAP database servers, a file server and an Exchange server. We determined the systems performance individually and in combination finally determining the system’s ability to support the kind of mixed workload environment

    In this webinar we will:
    - Introduce the IntelliFlash array
    - Describe the testing process
    - Present the results
    - Review the test environment
    - Provide links to the test workload VDbench configurations
  • When to Choose Object Storage over NAS for Digital Video Workflows
    When to Choose Object Storage over NAS for Digital Video Workflows John Bell, Senior Consultant & Jose Juan Gonzalez, Engineer Jun 19 2018 6:00 pm UTC 60 mins
    To keep pace with today’s media and digital asset management workflows, you need a cost-effective secondary tier of storage (active archive) that provides instant accessibility and unrelenting data protection—while scaling to store petabytes of unstructured data and billions of files. Caringo Senior Consultant John Bell and Engineer Jose Juan Gonzalez will explain how object storage (using NoSQL, unstructured methods of search like Elasticsearch, and advanced metadata and content management capabilities) can be used to build this active archive and will illustrate use with a live demo of how Caringo Swarm integrates with leading industry tools such as the CatDV media asset management (MAM).
  • Digging In: Preparing for IoT in Mining
    Digging In: Preparing for IoT in Mining Peter Klement, XMPro and Mikey Kalis, Unearthed Jun 19 2018 11:00 pm UTC 60 mins
    Explore the role of the IoT in the mining industry. From big industry to incubators and startups -- many organizations are engaging globally via innovative ecosystems, testbeds and tech hubs for education, awareness, and best practices.
  • Dell EMC PowerMax – Tier-0 хранилище на NVMe
    Dell EMC PowerMax – Tier-0 хранилище на NVMe Игорь Виноградов, старший системный инженер Dell EMC Jun 20 2018 8:00 am UTC 60 mins
    На вебинаре мы рассмотрим новую СХД от Dell EMC – PowerMax, объявленную на Dell Technologies World. Основное внимание будет уделено архитектурным особенностям PowerMax и выгоде, которую они дают, основным отличиям от предыдущих моделей СХД, а так же рассмотрены текущие тренды в хранении данных. Вебинар проводится при поддержке компании Intel®
  • Reimagine Data Governance: Collaboration, Integration, Automation & More
    Reimagine Data Governance: Collaboration, Integration, Automation & More Andy Joss, Head of Solutions & Data Governance, Informatica & Giuseppe Mura, Principal Architect, Informatica Jun 20 2018 10:00 am UTC 60 mins
    As organisations are seizing the opportunity to become more agile and enable transformation by intelligently using data, the need to act to defend against being disrupted by market, business, and technology forces has never been greater. With data increasingly becoming a business asset, organisations are looking to more intelligently deliver Data Governance as a way to maximise the value of their data.

    During this webinar Informatica will explore three fundamental requirements for Intelligent Data Governance:
    •Collaboration around data, across an organisation
    •Integration of organisational knowledge around data
    •Automation of the discovery of data, across an organization

    By combining these three requirements, plus more, Informatica will show how Intelligent Data Governance is rapidly changing the way organisations govern their most precious asset: their data.
  • How to visually analyse your retail flow-of-goods
    How to visually analyse your retail flow-of-goods Simon Runc, Retail Analytics Expert - Atheon Analytics Jun 20 2018 1:00 pm UTC 45 mins
    To improve product availability and product quality within your physical and online retail stores, you need to understand what’s happening at each step in a product's journey up to the point of sale - this is your flow-of-goods.

    In this webinar, retail analytics expert Simon Runc will demonstrate how to visually analyse your data at every point along the flow-of-goods, including your supply chain data and point of sale data, so you can make quicker and better product decisions in real-time.

    Learn how to visually analyse your retail flow-of-goods data so you can...

    *See in real-time what’s happening to your products
    *Combine your supply chain data and point of sale data for greater insight
    *Reduce stock-holding but improve on-shelf availability
    *Take action before low stock availability becomes an issue
    *Empower suppliers to act ahead of difficulties
  • Actian ZEN Deep Dive TechTALK
    Actian ZEN Deep Dive TechTALK Desmond Tan - Sr Director of Engineering and Lewis Carr - Sr. Director of Product Marketing Jun 20 2018 2:00 pm UTC 60 mins
    In this live webinar Desmond Tan and Lewis Carr will provide a deep dive into the features and applicability of the Actian ZEN database including embedded and IoT edge use cases.
  • How To Increase Value from Machine Learning and Advanced Analytics on Azure
    How To Increase Value from Machine Learning and Advanced Analytics on Azure Nate Shea-han, Americas Global Black Belt, Data & AI at Microsoft and Shaun Van Staden, Solutions Architect at Qubole Jun 20 2018 4:00 pm UTC 60 mins
    Becoming more competitive with big data today means having the right technology to uncover new insights from your data and make critical business decisions in real time. Qubole and Microsoft help companies activate their big data in the cloud to uncover insights that improve customer engagement, increase revenue, and lower costs.

    ​Join experts from Qubole and Microsoft as they discuss how to activate your big data and how to get the most out of open source technologies on the cloud. In this webinar, you'll learn:

    - How to modernize with data lakes and data warehouses on the cloud
    - Strategies for boosting business value out of Machine Learning and advanced analytics with Qubole on Azure
    - How to reduce costs, control risks, and improve data governance as you build your data pipelines
    - The importance of data security and privacy
    - Real world example​s​ of successful companies activating their big data

    Webinar Speakers:

    Nate Shea-han
    Americas Global Black Belt, Data & AI at Microsoft

    Nate Shea-han has been with Microsoft for 14 years and has spent the last 8 years focused on the helping Microsoft customers transform their business in the cloud on the Azure platform. Currently he has responsibilities across the United States, Canada and Latin America for Microsoft’s AI, big data, and analytics offerings. Nate has also worked extensively with Microsoft partner community.

    Shaun Van Staden
    Solutions Architect, Qubole

    Shaun Van Staden has 19 years of experience in enterprise software managing advanced analytics projects, as a developer, DBA, business analyst and now a solutions architect. As a solutions architect manager, Shaun is responsible for supporting business development and sales at Qubole and helping customers transform their use cases for the cloud. Prior to Qubole, Shaun worked as a solutions architect at NICE Systems and Merced Systems (acquired by NICE).
  • Collecting Responsive ESI from Difficult Places
    Collecting Responsive ESI from Difficult Places Doug Austin and Tom O'Connor Jun 20 2018 5:00 pm UTC 75 mins
    Believe it or not, there was a time when collecting potentially responsive ESI from email systems for discovery was once considered overly burdensome. Now, it’s commonplace and much of it can be automated. But, that’s not where all of the responsive ESI resides today – much of it is on your mobile device, in social media platforms and even in Internet of Things (IoT) devices. Are you ignoring this potentially important data? Do you have to hire a forensics professional to collect this data or can you do much of it on your own? This CLE-approved* webcast will discuss what lawyers need to know about the various sources of ESI today, examples of how those sources of data can be responsive to litigations and investigations, and how lawyers may be able to collect much of this data today using intuitive applications and simple approaches. Topics include:

    + Challenges from Various Sources of ESI Data
    + Ethical Duties and Rules for Understanding Technology
    + Key Case Law Related to Mobile Devices, Social Media and IoT
    + Options and Examples for Collecting from Mobile Devices
    + Options and Examples for Collecting from Social Media
    + Examples of IoT Devices and Collection Strategies
    + Recommendations for Addressing Collection Requirements
    + Resources for More Information

    * MCLE Approved in Selected States

    Presentation Leader: Doug Austin

    Doug is the VP of Products and Professional Services for CloudNine. At CloudNine, Doug manages professional services consulting projects for CloudNine clients. Doug has over 25 years of experience providing legal technology consulting, technical project management and software development services to numerous commercial and government clients.

    Special Consultant to CloudNine: Tom O'Connor

    Tom O’Connor is a nationally known consultant, speaker, and writer in the field of computerized litigation support systems. Tom’s consulting experience is primarily in complex litigation matters.
  • Top 5 Pitfalls of Developing and Deploying Smart Applications at the Edge
    Top 5 Pitfalls of Developing and Deploying Smart Applications at the Edge Desmond Tan, Senior Director, Zen Product Engineering, Actian Jun 20 2018 6:00 pm UTC 45 mins
    Efforts to derive value from Edge Computing and IoT continue to grow. In addition to the multitude of PoCs taking place in the Cloud, scaled up implementations are increasingly looking at local persistent data and the underlying device and gateway technologies are evolving to accommodate this new design requirement. Central to this shift is the growth of developer communities around Android, iOS, embedded Linux and Windows, Intel/, ARM and others, driving a surge of new applications with locally managed and analyzed data on IoT/OT edge devices and gateways.

    Considerations for metadata management, data movement, security, and governance of data associated with these apps, overhead for processing and packaging, and security concerns will require on-device and gateway persistent storage. Flat file systems and other prior tools don’t meet modern embedded data management platform or analytics requirements.

    Join us to hear how to deliver persistent data management at the edge.

    - Avoid the hassle and security complications that ETL between things, gateways and datacenters will create.
    - Experience a real-world demo in Python with source code samples showing how you can code once and deploy to multiple target platforms.
  • Winning the Red Queen's Race with IoT and Artificial Intelligence
    Winning the Red Queen's Race with IoT and Artificial Intelligence Jen Stirrup, Director, Data Relish Jun 20 2018 9:00 pm UTC 60 mins
    Artificial Intelligence is a part of our daily lives through the use of technologies like virtual assistants such as Cortana, smart homes, and automated customer service. We also have the power of the Internet of Things technology in organizations. How can we put them together for success in our organizations?

    Businesses are running the Red Queen's race not just to win, but to survive in a world where Artificial Intelligence and IoT are becoming the present as well as the future of technology, and ideas are developing into reality at accelerated rates.

    How can you help your company to evolve, adapt and succeed using IoT and Artificial Intelligence to stay at the forefront of the competition, and win the Red Queen's Race? What are the potential issues, complications, and benefits that the future of technology could bring to us and our organisations, right now?

    In this session, Jen Stirrup will explain the quick wins to win the Red Queen's Race in AI and IoT to help you and your organization to win the Red Queen's race.
  • Will data privacy kill innovation?
    Will data privacy kill innovation? Olivier Penel, EMEA Data Management Business Director, SAS Jun 21 2018 10:00 am UTC 45 mins
    This session is taken from In:Confidence 2018, where Olivier Penel debated whether privacy will one day kill innovation.

    On one side, the dramatic breakthrough and widespread adoption of Artificial Intelligence (AI) technologies create many opportunities for companies to innovate and to create value with data.

    On the other side, increased privacy concerns and regulations bring new standards and rules in the way personal data should be used.

    His insightful session covered questions such as:

    - What will be the impact of the GDPR on data-driven innovative projects?

    - How can organisations use GDPR as a catalyst to accelerate their digital transformation journey and boost innovation?

    GDPR has now come into effect, but how will it affect innovation moving forwards? Tune in to find out.
  • Minimizing Total Installed Cost of Field Installed Fiber Connectors
    Minimizing Total Installed Cost of Field Installed Fiber Connectors Robert Reid & Seamus Hamrin, Panduit Jun 21 2018 3:00 pm UTC 75 mins
    This webinar will focus on the issues surrounding the “Total Installed Cost” (TIC) of Backbone/Riser fiber cabling. We will explore the contributing factors to variability of TIC, focusing on field termination skill and the impact of permanent link testing on the individual connector PASS/FAIL decision making process (via a mathematical model).

    We will also review the development of new tools and novel methods to mitigate errors that estimate Insertion Loss (IL) in field terminated connectors, including new “expert system” technology deployed to test connector IL during the termination sequence.
  • AI is the Catalyst of IoT
    AI is the Catalyst of IoT Prof. Ahmed Banafa, IoT Expert, Faculty, Author and Keynote Speaker, SJSU Jun 21 2018 3:00 pm UTC 60 mins
    For companies to realize the full potential of IoT enablement, they need to combine IoT with rapidly-advancing Artificial Intelligence technologies, which enable ‘smart machines’ to simulate intelligent behavior and make well-informed decisions with little or no human intervention.

    Join this webcast to learn and discuss the best practices and trends coming for AI in IoT.

    About the speaker:
    Prof. Ahmed Banafa has extensive experience in research, operations and management, with focus on IoT, Blockchain and AI. He is a reviewer and a technical contributor for the publication of several technical books. He served as a faculty several at well-known universities and colleges, including the University of California, Berkeley; California State University-East Bay; San Jose State University; and University of Massachusetts.
  • Organizing Analytics Teams: New Angles on a Perennial Challenge
    Organizing Analytics Teams: New Angles on a Perennial Challenge IIA Research Advisor Bob Morison Jun 21 2018 4:00 pm UTC 60 mins
    Based on IIA's new and updated research on organizing analytics teams, Research Advisor Bob Morison will review the objectives and variables of organizational structure and share examples of how enterprises are adjusting their structures to deploy and develop analysts effectively, incorporate new methods and technologies, address strategic business opportunities, and leverage the analytics ecosystem.
  • Slash Storage TCO for Rapidly Scaling Data Sets
    Slash Storage TCO for Rapidly Scaling Data Sets Glen Olsen, Caringo Product Manager & Krishna Subramanian, Komprise COO Jun 21 2018 5:00 pm UTC 60 mins
    The nature of enterprise data is rapidly changing and existing storage infrastructures can’t keep up. Network Attached Storage (NAS) devices were designed for performance and single-site collaboration but file creation and access is different now. Many turn to the cloud to offload data, however, for rapidly scaling data sets, daily transfer rates and bandwidth constraints are an issue. In addition, some sensitive information can’t leave your data center. Komprise and Caringo have partnered to solve these issues by pairing intelligent data management technology with hassle-free, limitless storage.

    Attend this webinar to learn how you can slash TCO for rapidly scaling data sets by identifying data to move from NAS. Then securely transferring it based on value to Caringo Swarm scale-out object storage were it is protected without backups and instantly and securely available internally or externally.
  • Hybrid Data Analytics Live TechTALK
    Hybrid Data Analytics Live TechTALK Pradeep Bhanot - Director of Product Marketing at Actian Jun 21 2018 5:00 pm UTC 45 mins
    In this webinar featuring Actian Vector analytics database, Pradeep will provide a product overview, share case studies and include a short demo.

    You can submit your question during the event for the live Q & A.

    Download the Evaluation Edition at https://www.actian.com/lp/try-vector/
  • Using Data Science to Build an End-to-End Recommendation System
    Using Data Science to Build an End-to-End Recommendation System Ambarish Joshi and Jeff Kelly, Pivotal Jun 21 2018 5:00 pm UTC 60 mins
    We get recommendations everyday: Facebook recommends people we should connect with; Amazon recommends products we should buy; and Google Maps recommends routes to take. What all these recommendation systems have in common are data science and modern software development.

    Recommendation systems are also valuable for companies in industries as diverse as retail, telecommunications, and energy. In a recent engagement, for example, Pivotal data scientists and developers worked with a large energy company to build a machine learning-based product recommendation system to deliver intelligent and targeted product recommendations to customers to increase revenue.

    In this webinar, Pivotal data scientist Ambarish Joshi will take you step-by-step through the engagement, explaining how he and his Pivotal colleagues worked with the customer to collect and analyze data, develop predictive models, and operationalize the resulting insights and surface them via APIs to customer-facing applications. In addition, you will learn how to:

    - Apply agile practices to data science and analytics.
    - Use test-driven development for feature engineering, model scoring, and validating scripts.
    - Automate data science pipelines using pyspark scripts to generate recommendations.
    - Apply a microservices-based architecture to integrate product recommendations into mobile applications and call center systems.
  • A New Era in Data Storage for Machine Learning and AI Ecosystems
    A New Era in Data Storage for Machine Learning and AI Ecosystems Ashish Gupta Jun 21 2018 5:00 pm UTC 60 mins
    As enterprises transition their Business Intelligence and Analytics environments to Machine Learning and Artificial Intelligence driven ecosystems, their core data infrastructure has to scale. Focusing only on the compute layers, creates a highly inefficient infrastructure. Vexata with its VX-OS version 3.5 release brings to market transformative economics and breakthrough performance to power these next-generation workloads at scale.e.

    You will learn about:
    • How to scale core data infrastructures for the transition to Machine Learning and Artificial Intelligence workloads
    • What are the key considerations before creating an AI/ML-centric storage infrastructure
    • How Vexata's new VX-OS version 3.5 release addresses these challenges