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Advanced Analytics and Machine Learning with Data Virtualization

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this webinar and learn:

• How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
• How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
• How you can use the Denodo Platform with large data volumes in an efficient way
• About the success of one of our clients has had as a result of seasoning the Machine Learning and Blockchain Landscape with data virtualization
Recorded Jun 3 2020 74 mins
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Presented by
Alexey Sidorov - Chief Evangelist Middle East
Presentation preview: Advanced Analytics and Machine Learning with Data Virtualization

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  • Empowering your Enterprise with a Self-service Data Marketplace Feb 11 2021 1:00 pm UTC 60 mins
    Paul Moxon, SVP Data Architectures & Chief Evangelist, Denodo and Mark Pritchard, Director, EMEA Sales Engineering, Denodo
    Self-service is a major goal of modern data strategists. A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. As data unification and data collaboration become key critical success factors for organisations, data catalogs play a key role as the perfect companion for a virtual layer to fully empower those self-service initiatives and build a self-service data marketplace requiring minimal IT intervention.
    Denodo’s Data Catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It provides business users with the tool to generate their own insights with proper security, governance, and guardrails.
    In this session we will cover:
    - The role of a virtual semantic layer in self-service initiatives
    - Key ingredients of a successful self-service data marketplace
    - Self-service (consumption) vs. inventory catalogs
    - Best practices and advanced tips for successful deployment
    - A Demonstration: Product Demo
    - Examples of customers using Denodo’s Data Catalog to enable self-service initiatives
  • Introduzione alla Virtualizzazione dei Dati Jan 28 2021 10:00 am UTC 75 mins
    Andrea Zinno - Data Evangelist, Paolo Crivelli - Technical Sales Director Italy | Denodo
    In un’era sempre più dominata dal cloud computing, dall’AI e dall’analisi avanzata, può sembrare per lo meno anacronistico che molte organizzazioni facciano ancora affidamento ad architetture di dati costruite prima della fine del secolo.

    Fortunatamente questo scenario sta subendo un cambiamento repentino con l’adozione di nuove tecnologie di integrazione dati, come la virtualizzazione dei dati, che forniscono un livello logico, in tempo reale e sicuro di accesso ai dati aziendali. Le diverse sorgenti dati non devono più essere trasferite fisicamente in un nuovo repositorio e trasformate, prima di essere utilizzate dall’azienda. E’ per questo che la virtualizzazione dei dati soddisfa le esigenze di trasformazione dell’architettura e permette la costruzione di un Data Fabric aziendale.

    In questa sessione parleremo di:
    1. Cos'è la virtualizzazione dei dati;
    2. Come differisce da altre forme di integrazione a livello Enterprise; 
    3. Casi d’uso della Virtualizzazione dei dati: Business Intelligence, Data Science, democratizzazione dei dati, Master Data Management, Dati distribuiti
    4. Perché la virtualizzazione dei dati si sta espandendo dentro le organizzazioni in Italia;
  • استغلال البيانات الضخمة لتسريع التحول الرقمي: تطبيقات القطاع الحكومي Jan 27 2021 4:00 pm UTC 75 mins
    د.هاني التركستاني (مستشار التحول الرقمي ، مدير استشارات التقنية والمعلومات بمعهد الإدارة العامة)
    تعد البيانات أحد أبرز الجوانب لتحقيق التحول الرقمي. وأصبحت الجهات على إطلاع بالتحديات الناتجة من الحجم المتزايد وسرعة توليد البيانات من مصادر عديدة، مثل تطبيقات المؤسسات ووسائل التواصل الاجتماعي والأنظمة المتكاملة والبيانات الناتجة من أدوات الاستشعار. تتناول هذه الندوة كيفية استغلال البيانات الضخمة في القطاع الحكومي وكيفية التغلب على تحديات البيانات لتسريع التحول الرقمي

    المحاور الرئيسية:
    - التحول الرقمي في القطاع الحكومي.
    - أهمية البيانات في التحول الرقمي.
    - تحديات البيانات الضخمة.
    - مفهوم التمثيل الافتراضي للبيانات.
  • Agile Data Management with Enterprise Data Fabric Jan 27 2021 7:00 am UTC 75 mins
    Alexey Sidorov - Chief Evangelist Middle East, Stefano Cruciani - Marketing Manager Middle East
    In a world where machine learning and artificial intelligence are changing our everyday lives, digital transformation tops the strategic agenda in many private and government organizations. Data is becoming the lifeblood of a company, flowing seamlessly through it to enable deep business insights, create new opportunities, and optimize operations.

    Chief Data Officers and Data Architects are under continuous pressure to find the best ways to manage the overwhelming volumes of the data that tend to become more and more distributed and diverse.

    Moving data physically to a single location for reporting and analytics is not an option anymore – this is the fact accepted by the majority of the data professionals.

    Join us for this webinar to know about the modern virtual data landscapes including:
    - Virtual Data Fabric
    - Data Mesh
    - Multi-Cloud Hybrid architecture

    and to learn how to leverage Denodo Data Virtualization platform to implement these modern data architectures.
  • Data Virtualization: An Introduction Jan 21 2021 7:00 pm UTC 60 mins
    Paul Fearon, Senior Solutions Consultant, Denodo
    What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.

    Register to attend this session to learn:

    What is Data Virtualization?
    Why do I need Data Virtualization in my organization?
    How do I implement Data Virtualization in my enterprise?
  • Introduction to Modern Data Virtualization 2021 Recorded: Jan 21 2021 57 mins
    Sushant Kumar, Product Marketing Manager, Denodo and Chris Day, Director, APAC Sales Engineering, Denodo
    “Through 2022, 60% of all organisations will implement data virtualization as one key delivery style in their data integration architecture," according to Gartner. What is data virtualization and why is its adoption growing so quickly? Modern data virtualization accelerates that time to insights and data services without copying or moving data.

    Attend this webinar to learn:
    - Why organizations across the world are adopting data virtualization
    - What is modern data virtualization
    - How data virtualization works and how it compares to alternative approaches to data integration and management
    - How modern data virtualization can significantly increase agility while reducing costs
  • Myth Busters III: I’m Building a Data Lake, So I Don’t Need Data Virtualization Recorded: Jan 20 2021 43 mins
    Paul Moxon, SVP Data Architectures & Chief Evangelist, Denodo
    So you’re building a data lake to solve your big data challenges. A data lake will allow you to keep all of your raw, detailed data in a single, consolidated repository; therefore, your problem is solved. Or is it? Is it really that easy?

    Data lakes have their use and purpose, and we’re not here to argue that. However, data lakes on their own are constrained by factors such as duplication of data and therefore higher costs, governance limitations, and the risk of becoming another data silo.

    With the addition of data virtualization, a physical data lake, can turn into a virtual or logical data lake through an abstraction layer. Data virtualization can facilitate and expedite accessing and exploring critical data in a cost-effective manner and assist in deriving a greater return on the data lake investment.

    You might still not be convinced. Give us an opportunity and join us as we try to bust this myth!

    Watch this webinar as we explore the promises of a data lake as well as its downfalls to draw a final conclusion.
  • ROI and Economic Value of Data Virtualization Recorded: Jan 12 2021 59 mins
    Paul Moxon, VP Data Architecture & Chief Evangelist, Denodo
    Gartner has predicted that organizations using Data Virtualization will spend 40% less on data integration than those using traditional technologies. Denodo customers have experienced time-to-deliver improvements of up to 90% within their data provisioning processes and cost savings of 50% or more. Join us for this webinar to discover how Data Virtualization can help accelerate your time-to-value from data while reducing the costs at the same time. As Rod Tidwell (Cuba Gooding Jr.) said in the movie 'Jerry Maguire', "Show me the money!"

    Register to attend and learn how Data Virtualization can:
    - Accelerate the delivery of data to users
    - Drive digital transformation initiatives
    - Reduce project costs and timelines
    - Quickly deliver value to your organization
  • Denodo’s Data Catalog: Bridging the Gap between Data and Business Recorded: Jan 5 2021 59 mins
    Pablo Alvarez, Director of Product Management, Denodo
    Self-service is a major goal of modern data strategists. Denodo’s data catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It’s the perfect companion for a virtual layer to fully empower those self-service initiatives with minimal IT intervention. It provides business users with the tool to generate their own insights with proper security, governance, and guardrails.

    In this session we will see:
    - The role of a virtual semantic layer in self-service initiatives
    - What are the key capabilities of Denodo’s new Data Catalog
    - Best practices and advanced tips for a successful deployment
    - How customers are using Denodo’s Data Catalog to enable self-service initiatives
  • Trustworthy Analytics and Machine Learning with Data Virtualization Recorded: Dec 17 2020 58 mins
    Jona Boeddinghaus, COO, Gradient Zero & Chris Fitzpatrick, Channel Sales Engineer, Denodo
    Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. For these projects to be successful, data scientists, business analysts, and other personnel need access to data from across the enterprise. However, gaining access to all of the data in an integrated central repository has been a challenge, resulting in up to 80% of the project time being spent on data acquisition and preparation tasks.

    Data virtualization enables many organizations today to gain data insights from multiple, distributed data sources without the time-consuming processes of data extraction and loading. As analytics become more diverse, ranging from descriptive to predictive, prescriptive, operational, and more, data virtualization can support this range and enable users to realize value sooner.

    Topics to be covered during this webinar include:
    - How data virtualization addresses trustworthy analytics challenges in multiplatform, multicloud, and big data environments
    - The role of data catalogs in data virtualization for improving collaboration, governance, and efficiency of analytics
    - How analytics workloads and development lifecycles can benefit from data virtualization
    - Performance best practices for data virtualization

    Gradient Zero and Denodo have partnered to combine state-of-the art professional services with the industry’s most advanced data virtualization platform to streamline data access in support of the most critical business needs.
  • How Data Virtualization Puts Machine Learning into Production (APAC) Recorded: Dec 17 2020 61 mins
    Sushant Kumar, Product Marketing Manager, Denodo and Chris Day, Director, APAC Sales Engineering, Denodo
    Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.

    Attend this session to learn how companies can use data virtualization to:
    - Create a logical architecture to make all enterprise data available for advanced analytics exercise
    - Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
    - Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc
  • Accelerate Migration to the Cloud using Data Virtualization (APAC) Recorded: Nov 19 2020 63 mins
    Sushant Kumar, Product Marketing Manager, Denodo and Chris Day, Director, APAC Sales Engineering, Denodo
    Organizations are adopting cloud at a fast pace and migration of critical enterprise information resources could be a challenge when dealing with a complex and big data landscape. Building the right data services architecture can help alleviate the pain points, whereby data virtualization comes to the rescue by enabling the companies to gain maximum benefits from cloud initiatives in form of agility, cost savings, and more.

    In this webinar, you'll learn:
    - How Denodo Platform's multi-location architecture can simplify and accelerate cloud migration.
    - Best practices of deploying the Denodo Platform in the cloud.
    - Leverage Denodo's virtual data services layer to address and augment cloud solutions such as data warehouse modernization, data science, and data lakes in the cloud.
    - Watch a demo showcasing data virtualization and analytics in the cloud.
  • Data Virtualization for Business Consumption Recorded: Nov 19 2020 60 mins
    Adrian Bridge, Principal Consultant – RXP Group and Chris Day, Director Sales Engineering - Denodo
    A successful data virtualization initiative bridges the gap between two very different perspectives of data management: IT and business. However, most of the emphasis in these initiatives is put on the IT side, modeling, performance, security, etc. Business users are often left with a large library of data sets, hard to use and navigate.

    Denodo’s data catalog has been designed to cover the needs of those users and simplify the use and understanding of the virtual layer from the business perspective. It provides the extra capabilities required for self-service initiatives to succeed, while avoiding many of the common pitfalls of other cataloging solutions.

    Attend this session to learn:
    • The role of the data catalog in a logical architecture
    • How to incorporate the data catalog in the life of “citizen analysts”
    • Best practices in documentation and metadata management
    • Advanced usage of Denodo’s data catalog
  • Data Virtualization for Business Consumption Recorded: Nov 10 2020 50 mins
    Greg Laws, Solution Executive - Mero and Katrina Briedis, Sales Engineering - Denodo
    A successful data virtualization initiative bridges the gap between two very different perspectives of data management: IT and business. However, most of the emphasis in these initiatives is put on the IT side, modeling, performance, security, etc. Business users are often left with a large library of data sets, hard to use and navigate.

    Denodo’s data catalog has been designed to cover the needs of those users and simplify the use and understanding of the virtual layer from the business perspective. It provides the extra capabilities required for self-service initiatives to succeed, while avoiding many of the common pitfalls of other cataloging solutions.

    Attend this session to learn:
    • The role of the data catalog in a logical architecture
    • How to incorporate the data catalog in the life of “citizen analysts”
    • Best practices in documentation and metadata management
    • Advanced usage of Denodo’s data catalog
  • Data Virtualization: Introduction and Business Value Recorded: Oct 29 2020 57 mins
    Paul Moxon, SVP Data Architecture and Chief Evangelist and Chris Walters, Senior Solutions Consultant, Denodo
    What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Denodo’s vision is to provide a unified data delivery layer as a logical data fabric, to bridge the gap between the IT and the business, hiding the underlying complexity and creating a semantic layer to expose data in a business friendly manner.

    Attend this webinar to learn:
    • What data virtualization really is
    • How it differs from other enterprise data integration technologies
    • Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
    • Business Value of data virtualization and customer use cases
    • Highlights of the newly launched Denodo Platform 8.0
  • Analyst Webinar: Best Practices In Enabling Data-Driven Decision Making Recorded: Oct 28 2020 57 mins
    Mike Ferguson, Emily Sergent, Sales Engineer, Denodo
    This presentation looks at the trends that are emerging from companies on their journeys to becoming data-driven enterprises.

    These trends are taken from a survey of 500 companies and highlight critical success factors, what companies are doing, their progress so far and their plans going forward. It also looks at the role that data virtualization has within the data driven enterprise.

    During the session we'll address:

    - What is a data-driven enterprise?
    - What are the critical success factors?
    - What are companies doing to create a data-driven enterprise and why?
    - What progress are they making?
    - What are the plans on people, process and technologies?
    - Why is data virtualization central to provisioning and accessing data in a data-driven enterprise?
    - How should you get started?
  • Strategie d'Integrazione dei dati per un mondo ibrido e multicloud Recorded: Oct 22 2020 70 mins
    Andrea Zinno - Data Evangelist - Denodo, Paolo Crivelli - Technical Sales Director Italy - Denodo
    Strategie d'Integrazione dei dati per un mondo ibrido e multicloud - Il ruolo strategico della Virtualizzazione dei dati

    L’adozione del cloud computing sta crescendo ormai in maniera esponenziale tra le aziende. Sono sempre di più le organizzazioni che adottano strategie multi-cloud per favorire la flessibilità necessaria all’interno dell’architettura, il risparmio sui costi e l'ottimizzazione delle prestazioni.

    Ma come gestire tutti i dati in modo sicuro e centralizzato quando sono distribuiti su più sistemi e sedi? Questo è un argomento che sta suscitando un acceso interesse in diversi settori.

    In questo contesto la virtualizzazione dei dati riveste un ruolo strategico nelle architetture multicloud, garantendo agli utenti aziendali un accesso controllato a tutti i dati, indipendentemente dalla loro localizzazione, in modo semplice e veloce. Al contempo aggiunge la semantica e la governance, necessaria nei moderni ambienti di dati e garantendo il controllo locale ai "proprietari dei dati"e il rispetto delle normative locali sulla privacy e la protezione dei dati.

    Unisciti a noi per capire come la tua azienda può affrontare e superare le sfide insite nell’adozione di un modello Cloud/Multi-Cloud e conoscere le Best Practice per una corretta gestione dei dati e dei costi in un tale modello.

    In questa sessione approfondiremo:
    • Le sfide che le organizzazioni devono affrontare quando adottano strategie di dati multi-cloud
    • Come la Piattaforma di virtualizzazione dei dati di Denodo fornisce un livello di accesso ai dati controllato per tutta l'organizzazione
    • Le diverse architetture multi-location che possono massimizzare il controllo locale sui dati, rendendoli comunque facilmente disponibili
    • Come le organizzazioni hanno beneficiato dell'utilizzo della piattaforma Denodo nelle architetture multi-cloud
  • Bridging the Last Mile: Getting Data to the People Who Need It (APAC) Recorded: Oct 22 2020 63 mins
    Sushant Kumar, Product Marketing Manager, Denodo and Chris Day, Director, APAC Sales Engineering, Denodo
    Many organizations are embarking on strategically important journeys to embrace data and analytics. The goal can be to improve internal efficiencies, improve the customer experience, drive new business models and revenue streams, or – in the public sector – provide better services. All of these goals require empowering employees to act on data and analytics and to make data-driven decisions. However, getting data – the right data at the right time – to these employees is a huge challenge and traditional technologies and data architectures are simply not up to this task. This webinar will look at how organizations are using Data Virtualization to quickly and efficiently get data to the people that need it.

    Attend this session to learn:
    - The challenges organizations face when trying to get data to the business users in a timely manner
    - How Data Virtualization can accelerate time-to-value for an organization’s data assets
    - Examples of leading companies that used data virtualization to get the right data to the users at the right time
  • Data Virtualization for Data Architects Recorded: Oct 22 2020 57 mins
    Adrian Bridge, Principal Consultant – RXP Group and Katrina Briedis, Sales Engineering - Denodo
    Success or failure in the digital age will be determined by how effectively organisations manage their data. The speed, diversity and volume of data present today can overwhelm older data architectures, leaving business leaders lacking the insight and operational agility needed to respond to market opportunity or competitive challenges.

    With the pace of today’s business, modernisation of a data architecture must be seamless, and ideally, built on existing capabilities. This webinar explores how data virtualization can help provide a seamless evolution to the capabilities of an existing data architecture without business disruption.

    You will discover:
    - How to modernise your data architectures without disturbing the existing analytical workload
    - How to extend your data architecture to more quickly exploit existing, and new sources of data
    - How to enable your data architecture to present more low latency data
  • Data Virtualization: From Zero to Hero Recorded: Oct 21 2020 70 mins
    Alexey Sidorov - Chief Evangelist Middle East, Stefano Cruciani - Marketing Manager Middle East
    At the rate which enterprise data volume is increasing, replicating data to a central repository for analysis purposes is slow and expensive which might not even be a necessary part of the data integration process in many situations. With technologies such as data virtualization, companies can now place a single secure virtual layer between all disparate data sources (including both on-premise and in the cloud) on one side and various consuming applications on the other. Data replication for data integration is now an option and not a necessity.

    Join us for this webinar to become a "Data Virtualization Hero" inside your organization.

    In this session you will learn:
    - What data virtualization really is
    - How it differs from other enterprise data integration technologies
    - Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
Achieving Business Agility with Data Virtualization
For IT professionals who are focused on data integration and enterprise data management and are overwhelmed by the growing number of data and data types, data virtualization provides real-time integration with agility to access and integrate disparate sources with ease. For business professionals, Data Virtualization brings agile information access that in turn drives business agility. The webcasts provided in this channel by Denodo, the leader in Data Virtualization, provide the latest in common usage patterns, use cases, best practices and strategies for driving business value with data virtualization.

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  • Title: Advanced Analytics and Machine Learning with Data Virtualization
  • Live at: Jun 3 2020 7:00 am
  • Presented by: Alexey Sidorov - Chief Evangelist Middle East
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